Description: Name: RTP 2040(Lines or Points)Source: The Atlanta Regional CommissionDate: April 2014Extent: 18+ CountiesFeature: Points (Point projects) Scale: 1:100,000Description: This layer represents a subset of projects contained in the Atlanta region's PLAN 2040Regional Transportation Plan (RTP). The plan covers all or parts of 18 counties and is inclusive of the short-range FY 2012-2017Transportation Improvement Program (TIP). The TIP and RTP, as well as this layer, were formally adopted by the ARC Board onJuly 27th2011.Projects in this layer are of a linear feature and follow specifically defined corridors. Example project types include roadway widenings, operational and signal coordination projects along existing roads, bicycle paths, sidewalks and new transit services. In addition to these linear projects, please refer to the RTP_Points Layer for "point" location projects. Please note that the RTP Layer represents all of the "mappable" linear and point projects in a buffered polygon format. As such, most users would probably want to use only the RTP Layer, but the line and point shapefiles are included if more precise feature location is required.Attributes Exist_Lane Existing lanes on roadway facility (if applicable)Prop_Lanes The number of lanes on the facility as a result of the proposed transportation improvement (if applicable)ARCID Project IDPRJ_DESC Project DescriptionEXTENTS Physical extents of the project along the described corridorLOCATION JurisdictionSPONSOR Current Project sponsorPRJ_GROUP General project group (roadway, transit, last mile connectivity, other)PRJ_TYPE Specific project typeSTATUS Status of the project (Programmed, Long Range or Aspirations)DOCNAME PDF file name of the project’s fact sheetGDOTPI GDOT project ID (if applicable)
Description: This feature class was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Transit_Marta_Stations Source: The Metropolitan Atlanta Rapid Transit Authority (MARTA) Date: 2000 Extent: < 10 Counties (DeKalb and Fulton, plus Clayton) Feature: Point Scale: 1:63,360 Description: This Layer was originally created using Global Positioning System (GPS) technology where rail stations were captured as point locations at adjacent drives or parking lots. For the purpose of this CD, ARC's GIS Division adjusted many of the points to coincide with Transit_Marta_Rail and Transit_Marta_Bus, and to improve the positional accuracy against digital orthophotograhpy. ARC GIS also added the field "Stn_code" to indicate MARTA's abbreviation for each station (e.g. NE9 = the Chamblee station on the Northeast line). For more information, go to http://www.itsmarta.com. Attributes: STATION Name of rail station (e.g. Chamblee) STN_CODE Station codes added by ARC For additional information, please contact Ryan Barrett at 404-463-3134 or rbarrett@atlantaregional.com
Description: Name: RTP 2040(Lines or Points)Source: The Atlanta Regional CommissionDate: April 2014Extent: 18+ CountiesFeature: Line (line projects) Scale: 1:100,000Description: This layer represents a subset of projects contained in the Atlanta region's PLAN 2040Regional Transportation Plan (RTP). The plan covers all or parts of 18 counties and is inclusive of the short-range FY 2012-2017Transportation Improvement Program (TIP). The TIP and RTP, as well as this layer, were formally adopted by the ARC Board onJuly 27th2011.Projects in this layer are of a linear feature and follow specifically defined corridors. Example project types include roadway widenings, operational and signal coordination projects along existing roads, bicycle paths, sidewalks and new transit services. In addition to these linear projects, please refer to the RTP_Points Layer for "point" location projects. Please note that the RTP Layer represents all of the "mappable" linear and point projects in a buffered polygon format. As such, most users would probably want to use only the RTP Layer, but the line and point shapefiles are included if more precise feature location is required.Attributes Exist_Lane Existing lanes on roadway facility (if applicable)Prop_Lanes The number of lanes on the facility as a result of the proposed transportation improvement (if applicable)ARCID Project IDPRJ_DESC Project DescriptionEXTENTS Physical extents of the project along the described corridorLOCATION JurisdictionSPONSOR Current Project sponsorPRJ_GROUP General project group (roadway, transit, last mile connectivity, other)PRJ_TYPE Specific project typeSTATUS Status of the project (Programmed, Long Range or Aspirations)DOCNAME PDF file name of the project’s fact sheetGDOTPI GDOT project ID (if applicable)
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Streets_adds20cnty Source: US Census, The Atlanta Regional Commission Date: 2010 Extent: 20 county Feature: Line Scale: 1:12,000 Description: This shapefile was created by downloading indiviudal County shapefiles from the US Census Bureau, selecting and merging street features from the all lines file, and reprojecting to State Plane NAD 83. http://www.census.gov/geo/www/tiger/Attribute Glossary from TIGER website:4 Shapefile Attribute Terms Glossary 4.1 Edge A linear object (topological primitive) that extends from a designated start node (From node) and continues to an end node (To node). An edge’s geometry can be described by the coordinates of its two nodes, plus possible additional coordinates that are ordered and serve as vertices (or "shape" points) between these nodes. The order of the nodes determines the From-To orientation and left/right sides of the edge. Each edge is uniquely identified by a TLID. 4.2 Face An areal object (topological primitive), bounded by one or more edges. As a topological primitive. a face is not internally subdivided by edges into smaller polygons but may completely surround other faces (island faces). Each face is uniquely identified by a TFID. 4.3 Feature A feature is a unique combination of geometry, feature name, classification and descriptive codes that describe real world objects such as roads, lakes, or buildings. Each edge and face topological primitive may belong to many different features.4.4 Feature Identifier The linear feature identifier (LINEARID) is a unique ID number for linear features and is used to associate the name and attributes of linear features to their spatial primitives (edges) and address ranges as appropriate. The point landmark identifier (POINTID) is a unique ID number for point landmarks. The area landmark identifier (AREAID) is a unique ID number for area landmarks and is used to associate the name and attributes of area landmarks to their spatial primitives (faces). 4.5 Feature Indicators The All Lines shapefile includes the feature indicators ROADFLG, RAILFLG, HYDROFLG and OLFFLG, which indicate if a given edge belongs to a Road feature, Rail feature, Hydrography feature or other linear feature, respectively. An edge can belong to more than one feature type. 4.6 Geographic Corridors A geographic corridor is a narrow strip of land used to connect parts of legal entities to form a contiguous area. Geographic corridors generally follow the edges of a right-of-way around a linear feature such a road but exclude houses and business addressed to that road. These excluded houses and business belong to the legal entities outside of the geographic corridor. The boundaries of geographic corridors form census block boundaries. Geographic offsets are similar to geographic corridors but appear on only one side of a feature (either the left or right).4.7 GCSEFLG Short lines flag for geographic corridors and offsets. This field indicates if a feature edge perpendicular to a geographic corridor (or offset) traverses the corridor or helps to define the corridor’s end. If so, address ranges must not be linked to either side of the edge. See Section 5.14 (Places) for more information on geographic corridors and offsets. 4.8 MAF/TIGER Feature Class Code (MTFCC) The MTFCC is a 5-digit code intended to classify and describe geographic objects or features. The MTFCC replaced the Census Feature Class Code (CFCC) used before 2007 and was expanded to include features that previously did not have codes. To simplify feature classification, some CFCCs were collapsed into a single MTFCC; the characteristics that differentiated these CFCCs were retained as separate feature 4-17 attributes. MTFCC definitions are available in the metadata files that accompany each shapefile and relationship file and in Appendix F of this document. A crosswalk between CFCC and MTFCC codes can be found on the TIGER/Line website (http://www.census.gov/geo/www/tiger). 4.9 Node A point object (topological primitive) defined by a single coordinate pair. An isolated node represents a point feature (point landmark) and is not connected to any edge. A connecting node may or may not represent a point feature, but is connected to one or more edges. Each connecting node is uniquely identified by a permanent node identifier (TNID). 4.10 OFFSET Geographic Corridor/Offset Flag. This field indicates if a face is located inside a geographic corridor or offset. 4.10.1 OFFSETL Geographic Corridor/Offset Flag for the face on the left side of a given edge 4.10.2 OFFSETR Geographic Corridor/Offset Flag for the face on the right side of a given edge. 4.11 Relationship file The TIGER/Line relationship files are extracts of selected geographic information from the MAF/TIGER database. Each TIGER/Line relationship file can stand alone as an independent dataset but is designed to be used jointly with the shapefiles to join additional attributes and data to the spatial features. 4.12 Shapefile A shapefile is a digital vector storage format for storing geometric location and associated attribute information. Each shapefile consists of several files, which are listed in section 3 of this document (Structure and Format). 4.13 TFID Permanent face identifier. A face’s TFID never changes. If the face is split or merge, its TFID is retired. 4.13.1 TFIDL TFID for the face on the left side of a given edge. 4.13.2 TFIDN TFID for the face on the right side of the given edge. 4.14 TLID Permanent edge identifier. An edge TLID’s never changes. If the edge is split, merged or deleted its TLID is retired. 4.15 TNID Permanent node identifier. An edge’s TNID never changes. If the node is deleted, its TNID is retired. 4.15.1 TNIDF TNID for the Start node (From node) of a given edge. 4-18 4.15.2 TNIDT TNID for the End node (To node) of a given edge.
Description: Name: Activity_Centers Source: The Atlanta Regional Commission Date: 2006 Extent: 20 counties Feature: Polygon Scale: 1:12,000 Description: This Layer was developed by ARC's Land Use Planning Division as a reference for activity centers in the 20-county Atlanta Region. The activity center areas were digitized in (ArcGIS) ArcMap based on orthophotography of traditional municipal downtowns and significant regional centers. Attributes: NAME Name of Activity Center TYPE Type of Activity Center Station Communities - Areas around MARTA stations Town Centers - Traditional downtown of cities or small local serving areas Regional Centers - Areas of major regional activity LCI_NAME Name of LCI Study if applicable and completed before 2006 LCI_YEAR Year of LCI Study if applicable and completed before 2006 For additional information, please contact Paul DiGirolamo at 404-463-3520 or pdigirolamo@atlantaregional.com
Description: This shapefile was developed by the Atlanta Regional Commission Research Division. Description: This Layer represents the page number reference grid in Aero Atlas map books which contain detailed geographic information in a hardcopy format. The coverage area is equivalent to approximately 34 full counties, though some of the southern counties in the 29-county Atlanta Region are partial. For more information on this street atlas, go to http://www.aeroatlas.com. Attributes: PAGE Page number of Aero Surveys map books For additional information, please contact Paul DiGirolamo at 404-463-3520 or pdigirolamo@atlantaregional.com
Description: totpop10 Total Population 2010oner_10 One Race Total 2010white_or10 White, One Race 2010bl_or10 White, One Race 2010aian_or10 White, One Race 2010asia_or10 White, One Race 2010nhpi_or10 White, One Race 2010somoth_or10 White, One Race 2010twoplusr10 Two or More Races 2010totpop10 Total Population 2010hisp_lat10 Hispanic Latino of Any Race, 2010nonhisp10 Non-Hispanic Latino, Total, 2010nh_or10 Non-Hispanic, One Race, 2010nhw_or10 Non-Hispanic White, One Race, 2010nhbl_or10 Non-Hispanic Black, One Race, 2010nhai_or10 Non-Hispanic Am Ind, One Race, 2010nhas_or10 Non-Hispanic Asian, One Race, 2010nhhp_or10 Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10 Non-Hispanic Other, One Race, 2010nh_twor10 Non-Hispanic, Two or More Races, 2010tothu10 Total Housing Units, 2010totoccu_10 Total Occupied Units (Households), 2010totvach_10 Total Vacant Units, 2010
Description: Attributestotpop10: Total Population2010oner_10: One Race Total 2010white_or10: White, One Race 2010bl_or10: White, One Race 2010aian_or10: White, One Race 2010asia_or10: White, One Race 2010nhpi_or10: White, One Race 2010somoth_or10: White, One Race 2010twoplusr10: Two or More Races 2010totpop10: Total Population 2010hisp_lat10: Hispanic Latino of Any Race, 2010nonhisp10: Non-Hispanic Latino, Total, 2010nh_or10: Non-Hispanic, One Race, 2010nhw_or10: Non-Hispanic White, One Race, 2010nhbl_or10: Non-Hispanic Black, One Race, 2010nhai_or10: Non-Hispanic Am Ind, One Race, 2010nhas_or10: Non-Hispanic Asian, One Race, 2010nhhp_or10: Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10: Non-Hispanic Other, One Race, 2010nh_twor10: Non-Hispanic, Two or More Races, 2010tothu10: Total Housing Units, 2010totoccu_10: Total Occupied Units (Households), 2010totvach_10: Total Vacant Units, 2010
Description: totpop10 Total Population 2010oner_10 One Race Total 2010white_or10 White, One Race 2010bl_or10 White, One Race 2010aian_or10 White, One Race 2010asia_or10 White, One Race 2010nhpi_or10 White, One Race 2010somoth_or10 White, One Race 2010twoplusr10 Two or More Races 2010totpop10 Total Population 2010hisp_lat10 Hispanic Latino of Any Race, 2010nonhisp10 Non-Hispanic Latino, Total, 2010nh_or10 Non-Hispanic, One Race, 2010nhw_or10 Non-Hispanic White, One Race, 2010nhbl_or10 Non-Hispanic Black, One Race, 2010nhai_or10 Non-Hispanic Am Ind, One Race, 2010nhas_or10 Non-Hispanic Asian, One Race, 2010nhhp_or10 Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10 Non-Hispanic Other, One Race, 2010nh_twor10 Non-Hispanic, Two or More Races, 2010tothu10 Total Housing Units, 2010totoccu_10 Total Occupied Units (Households), 2010totvach_10 Total Vacant Units, 2010
Description: totpop10 Total Population 2010oner_10 One Race Total 2010white_or10 White, One Race 2010bl_or10 White, One Race 2010aian_or10 White, One Race 2010asia_or10 White, One Race 2010nhpi_or10 White, One Race 2010somoth_or10 White, One Race 2010twoplusr10 Two or More Races 2010totpop10 Total Population 2010hisp_lat10 Hispanic Latino of Any Race, 2010nonhisp10 Non-Hispanic Latino, Total, 2010nh_or10 Non-Hispanic, One Race, 2010nhw_or10 Non-Hispanic White, One Race, 2010nhbl_or10 Non-Hispanic Black, One Race, 2010nhai_or10 Non-Hispanic Am Ind, One Race, 2010nhas_or10 Non-Hispanic Asian, One Race, 2010nhhp_or10 Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10 Non-Hispanic Other, One Race, 2010nh_twor10 Non-Hispanic, Two or More Races, 2010tothu10 Total Housing Units, 2010totoccu_10 Total Occupied Units (Households), 2010totvach_10 Total Vacant Units, 2010
Description: totpop10 Total Population 2010oner_10 One Race Total 2010white_or10 White, One Race 2010bl_or10 White, One Race 2010aian_or10 White, One Race 2010asia_or10 White, One Race 2010nhpi_or10 White, One Race 2010somoth_or10 White, One Race 2010twoplusr10 Two or More Races 2010totpop10 Total Population 2010hisp_lat10 Hispanic Latino of Any Race, 2010nonhisp10 Non-Hispanic Latino, Total, 2010nh_or10 Non-Hispanic, One Race, 2010nhw_or10 Non-Hispanic White, One Race, 2010nhbl_or10 Non-Hispanic Black, One Race, 2010nhai_or10 Non-Hispanic Am Ind, One Race, 2010nhas_or10 Non-Hispanic Asian, One Race, 2010nhhp_or10 Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10 Non-Hispanic Other, One Race, 2010nh_twor10 Non-Hispanic, Two or More Races, 2010tothu10 Total Housing Units, 2010totoccu_10 Total Occupied Units (Households), 2010totvach_10 Total Vacant Units, 2010
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission to represent the incorporated areas within the Atlanta region.Attributes:Name = Name of the incorporated areaAcres = Total area in acresSq_Miles = Total area in square milesCounty20 = Does the area fall within the 20-county Atlanta region?County10 = Does the area fall within the 10-county Atlanta region?Shape.STArea() = Total area in square feetFor additional information, please visit the Atlanta Regional Commission at www.atlantaregional.comSource: Local governments, United States Census Bureau, Atlanta Regional CommissionDate: 2012
Copyright Text: Local governments, United States Census Bureau, Atlanta Regional Commission
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Citizen_Districts Source: U.S. Census Bureau, The Atlanta Regional CommissionDate: 2012Extent: 10 CountiesFeature: PolygonScale: 1:100,000Description: This Layer contains boundary polygons built from 2010 census tracts to represent citizen districts in ARC's 10-county region. The legislation creating ARC specifies that the Commission's citizen members be selected from 15 equal population districts based on the results of the most recent census. A resident from each of the districts created for this purpose by the legislative delegation from the Area is elected by the public members of the Commission. Members at large may hold no elective or appointed public office nor be employed by any of the political subdivisions of the Area.Attributes:CITZ_DIST Citizen District numberFor additional information, please contact Paul DiGirolamo at 404-463-3520 or pdigirolamo@atlantaregional.com
Description: LandPro2010 is ARC's landuse/landcover GIS database for the 21-county Atlanta Region (Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Fulton, Gwinnett, Henry, Rockdale, the EPA non-attainment (8hr standard) counties of Carroll, Coweta, Barrow, Bartow, Forsyth, Hall, Newton, Paulding, Spalding and Walton and Dawson which will become a part of the 2010 Urbanized Area). LandPro2010 was created by on-screen photo-interpretation and digitizing of ortho-rectified aerial photography. The primary source for this GIS database were the local parcels and the 2009 true color imagery with 1.64-foot pixel resolution, provided by Aerials Express, Inc. 2010 is the first year we have used parcel data to help more accurately delineate the LandPro categories.For ArcGIS 10 users: See full metadata by enabling FGDC metadata in ArcCatalog Customize > ArcCatalog Options > Metadata (tab)
Description: Date: 04/13/2012Description: This Layer was created by ARC's Land Use Planning Division to delineate Livable Centers Initiative (LCI) Study Areas. The locations of these LCIs were digitized in (ArcGIS) ArcMap based on the study area proposed by the study recipients in consultation with the ARC staff. For more information, go to www.altantaregional.com/lci.
Description: Date: 02/18/2013Description: This Layer was created by ARC's Land Use Planning Division to delineate Livable Centers Initiative (LCI) Study Areas. The locations of these LCIs were digitized in (ArcGIS) ArcMap based on the study area proposed by the study recipients in consultation with the ARC staff. For more information, go to www.altantaregional.com/lci.
Description: This shapefile was developed by the Travel Demand Model Development Team in ARC's Transportation Access and Mobility Division for use with base and forecasted population, employment, household data, and university enrollment. These zones will be incorporated with a new highway and transit network in a new version of ARC's Activity Based Model (ABM).Attributes include:MTAZ10 - 2010 ARC Model TAZ numberCTAZ10 - 2010 Census TAZ numberTRACT10 - 2010 Census Tract numberTAD10 - 2010 Census TAD numberSD10 - 2010 ARC Superdistrict numberFIPS - County FIPS codeCOUNTY - County nameACRES - Area in acres
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Plan2040_Forecasts_CountySource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011Extent: 20 CountiesFeature: PolygonScale: 1:100,000 Attributes:FIPSSTCO Federal Processing Code Standard (FIPS) codes for State and County Name County: County NameAcres: Acres of CountySQ_Miles: Square miles of CountyRegional Commission: RC of CountyPopulation and employment fields for 2016-2040HH_: HouseholdsTotalPop: Total PopulationEmp_: Total EmpCons_: ConstructionManu_: ManufacturingTCU_: Transportation Communication and UtilitiesWhol_: Wholesale TradeRetail_: Retail TradeFIRE_: Finance, Insurance, and Real EstateServ_: ServicesGovt_: Government
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Plan2040_Forecasts_CTSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011Extent: 20 CountiesFeature: PolygonScale: 1:100,000 Attributes:FIPSSTCO: Concatanation of FIPS Code State, FIPS Countyct00: Census Tract 2000STFID: Concatanation of FIPS State, FIPS County, Census TractPopulation and employment fields for 2016-2040HH_: HouseholdsTotalPop: Total PopulationEmp_: Total EmpCons_: ConstructionManu_: ManufacturingTCU_: Transportation Communication and UtilitiesWhol_: Wholesale TradeRetail_: Retail TradeFIRE_: Finance, Insurance, and Real EstateServ_: ServicesGovt_: Government
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: Plan2040_Forecasts_SDSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011Extent: 20 CountiesFeature: PolygonScale: 1:100,000 AttributesFIPSSTCO: Concatanation of FIPS Code State, FIPS CountySTFID: Concatanation of FIPS State, FIPS County, Census TractPopulation and employment fields for 2016-2040HH_: HouseholdsTotalPop: Total PopulationEmp_: Total EmpCons_: ConstructionManu_: ManufacturingTCU_: Transportation Communication and UtilitiesWhol_: Wholesale TradeRetail_: Retail TradeFIRE_: Finance, Insurance, and Real EstateServ_: ServicesGovt_: Government
Description: Name: RTP 2040Source: The Atlanta Regional CommissionDate: Dec 2014 Extent: 18+ CountiesFeature: Polygons representing buffered linesScale: 1:100,000Description: This layer represents a subset of projects contained in the Atlanta region's PLAN 2040Regional Transportation Plan (RTP). The plan covers all or parts of 18 counties and is inclusive of the short-range FY 2012-2017Transportation Improvement Program (TIP). The TIP and RTP, as well as this layer, were formally adopted by the ARC Board onJuly 27th2011.Projects in this layer are of a buffered linear feature and follow specifically defined corridors. Example project types include roadway widenings, operational and signal coordination projects along existing roads, bicycle paths, sidewalks and new transit services. In addition to these buffered projects, please refer to the RTP_Points Layer for "point" location projects, or RTP_Lines for "line" projects. Please note that the RTP Layer represents all of the "mappable" linear and point projects in a buffered polygon format. As such, most users would probably want to use only the RTP Layer, but the line and point shapefiles are included if more precise feature location is required.Attributes Exist_Lane Existing lanes on roadway facility (if applicable)Prop_Lanes The number of lanes on the facility as a result of the proposed transportation improvement (if applicable)ARCID Project IDPRJ_DESC Project DescriptionEXTENTS Physical extents of the project along the described corridorLOCATION JurisdictionSPONSOR Current Project sponsorPRJ_GROUP General project group (roadway, transit, last mile connectivity, other)PRJ_TYPE Specific project typeSTATUS Status of the project (Programmed, Long Range or Aspirations)DOCNAME PDF file name of the project’s fact sheetGDOTPI GDOT project ID (if applicable)BUFFER Buffer of 100 feet around feature
Description: totpop10 Total Population 2010oner_10 One Race Total 2010white_or10 White, One Race 2010bl_or10 White, One Race 2010aian_or10 White, One Race 2010asia_or10 White, One Race 2010nhpi_or10 White, One Race 2010somoth_or10 White, One Race 2010twoplusr10 Two or More Races 2010totpop10 Total Population 2010hisp_lat10 Hispanic Latino of Any Race, 2010nonhisp10 Non-Hispanic Latino, Total, 2010nh_or10 Non-Hispanic, One Race, 2010nhw_or10 Non-Hispanic White, One Race, 2010nhbl_or10 Non-Hispanic Black, One Race, 2010nhai_or10 Non-Hispanic Am Ind, One Race, 2010nhas_or10 Non-Hispanic Asian, One Race, 2010nhhp_or10 Non-Hispanic Hawaiian PacIsl, One Race, 2010nhot_or10 Non-Hispanic Other, One Race, 2010nh_twor10 Non-Hispanic, Two or More Races, 2010tothu10 Total Housing Units, 2010totoccu_10 Total Occupied Units (Households), 2010totvach_10 Total Vacant Units, 2010
Description: Name: busroutes Source: Georgia Regional Transportation Authority,Cobb County Department of Transportation, Gwinnett County GIS, Metropolitan Atlanta Rapid Transit Authority (MARTA), The Atlanta Regional Commission Date: 2012 Extent: 13 counties Feature: Line This feature class was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Attributes: ROUTE: Route number ROUTEDESC: Route description SERVTYPE: Service Type SERVPROV: Service provider This regional dataset was derived from local data and website information published by providers. It is believed to be accurate, however errors may exist and no guarantee of accuracy or completeness is given. For additional information, please contact Ryan Barrett at 404-463-3134 or rbarrett@atlantaregional.com
Description: Name: CitiesSource: U.S. Census Bureau, GA Dept. of Community Affairs, Local GovernmentsDate: 2005-2014Extent: StatewideFeature: PolygonScale: 1:100,000 Description: This Layer contains city and municipal boundaries for the entire state of Georgia. They were derived from the 2010 city boundary provided by local governments and 2008 TIGER/Line files. Please note that cities with multiple polygons have been merged into a single multi-part polygon to facilitate labeling and querying. For more information on Census/TIGER data go to http://www.census.gov/geo/www/tiger. Attributes: NAMEName of city or municipalitySq_Miles Float value of Square MilesAcres Float value of Acres
Description: This is the most current Greenprints feature class stored on the GIS server. It it is the feature class that was uploaded to ArcGIS Online for the Greenprints web applications and was identical to the hosted feature class as of 5/20/2014. The hosted feature class allows editing, so changes that are made to the hosted feature class should be imported to this feature class. The hosted feature class is intended to be edited by designated city staff when changes are made to the status, funding, location, naming, etc., of a trail.
Description: This layer was developed by the Transportation Access and Mobility Division of the Atlanta Regional Commission to identify potential concentrations of environmental justice communities in the Atlanta region. The index is based on the regional standard deviation of poverty and the distribution of minorities. The data used in the analysis was obtained from the American Community Survey’s five-year estimate, 2008-2012, and was aggregated at the census tract level. Each parameter received equal weighting in the resulting composite index. ETAs were given a ranking based on the composite of communities, and were subsequently categorized into three levels of ETA “concentrations”: 1 being Very High, 2 being High, 3 being Medium and 4 being non-ETA.Source: Atlanta Regional Commission, US Census, ACS 5-year 2008-2012 Date: 2015FieldDefinitionSTATEFPState FipsCOUNTYFPCounty FipsTRACTCE6-Digit Tract IDGEOID11-Digit Tract ID (String)NAMENumeric Tract NameNAMELSADNumeric and text Tract NameGEOID_Data18-Digit Tract IDGEOID211-Digit Tract ID (Double)AsianPacifPercent of Asian and Pacific Islander BlackPercent of African AmericanHispanicPercent of HispanicOther_RacePercent of other non-white racesAgeOvr65Percent of population over 65PovertyPercent of population in poverty according to the 5 year ACS 2008-2012AsianCatCategory of highest % of population 1 being highestBlackCatCategory of highest % of population 1 being highestHispanCatCategory of highest % of population 1 being highestOthCatCategory of highest % of population 1 being highestRaceCatCategory of highest % of population 1 being highestAgeCatCategory of highest % of population 1 being highestPovCatCategory of highest % of population 1 being highestETAIndexed score using Poverty and RacePopulation2010 Census population
Description: This layer represents the routes serviced by transit operators in the Atlanta Region. These data are derived from the General Transit Feed Specification (GTFS) for each of the transit operators in the Atlanta Region. The data are either compiled directly by the transit operator or created in partnership with the Atlanta Regional Commission. Please refer to the GTFS reference (https://developers.google.com/transit/gtfs/reference) for more information on the data or the GTFS data download page at http://atlantaregional.com/transportation/transit/existing-regional-transit-system.Field Name OBJECTID: The route_id field contains an ID that uniquely identifies a route. The OBJECTID is dataset unique.agency: The agency field defines an agency for the specified route. shortName: The shortName contains the short name of a route. This will often be a short, abstract identifier like "32", "100X", or "Green" that riders use to identify a route, but which doesn't give any indication of what places the route serves.longName: The longName contains the full name of a route. This name is generally more descriptive than the shortName and will often include the route's destination or stop. desc: The desc field contains a description of a route.type: The type field describes the type of transportation used on a route. Values for this field are:0 - Tram, Streetcar, Light rail. Any light rail or street level system within a metropolitan area.1 - Subway, Metro. Any underground rail system within a metropolitan area.2 - Rail. Used for intercity or long-distance travel.3 - Bus. Used for short- and long-distance bus routes.4 - Ferry. Used for short- and long-distance boat service.5 - Cable car. Used for street-level cable cars where the cable runs beneath the car.6 - Gondola, Suspended cable car. Typically used for aerial cable cars where the car is suspended from the cable.7 - Funicular. Any rail system designed for steep inclines.url: The url field contains the URL of a web page about that particular route.routeColor: In systems that have colors assigned to routes, the route_color field defines a color that corresponds to a route. routeTextC: The routeTextC field can be used to specify a legible color to use for text drawn against a background of routeColor. Source: The Atlanta Regional Commission, Atlanta Streetcar, Atlantic Station Shuttle, Buc Shuttle, Cherokee Area Transportation System, Cobb Community Transit, Georgia Regional Transportation Authority, Georgia Tech, Gwinnett County Transit, and Metropolitan Atlanta Rapid Transit Authority.Date: 2015
Description: This layer represents the stops serviced by transit operators in the Atlanta Region. These data are derived from the General Transit Feed Specification (GTFS) for each of the transit operators in the Atlanta Region. The data are either compiled directly by the transit operator or created in partnership with the Atlanta Regional Commission. Please refer to the GTFS reference (https://developers.google.com/transit/gtfs/reference) for more information on the data or the GTFS data download page at http://atlantaregional.com/transportation/transit/existing-regional-transit-system.Field Name id: The id field contains an ID that uniquely identifies a stop or station. Multiple routes may use the same stop. The stop_id is dataset unique.name: The name field contains the name of a stop or station. desc: The desc field contains a description of a stop. agency: Defines the agency for the specified route.Source: The Atlanta Regional Commission, Atlanta Streetcar, Atlantic Station Shuttle, Buc Shuttle, Cherokee Area Transportation System, Cobb Community Transit, Georgia Regional Transportation Authority, Georgia Tech, Gwinnett County Transit, and Metropolitan Atlanta Rapid Transit Authority.Date: 2015
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from ARC's Regional Plan Update to show employment forecasts by census tract for the Atlanta region.Measures:Total Jobs, 2015Total Jobs, 2020Total Jobs, 2030Total Jobs, 2035Total Jobs, 2040Change in Jobs, 2015-2040Change in Jobs per Square Mile, 2015-2040Source: Atlanta Regional CommissionDate: 2015
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from ARC's Regional Plan Update to show population forecasts by census tract for the Atlanta region.Measures:Households, 2015Population, 2015Households, 2020Population, 2020Households, 2025Population, 2025Households 2030Population, 2030Households, 2035Population, 2035Households, 2040Population, 2040Population Change, 2015-2040Household Change, 2015-2040Population Change per Square Mile, 2015-2040Source: Atlanta Regional CommissionDate: 2015
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Federal Communications Commission to show the percentage of households with access to broadband internet by census tract in the Atlanta region. The data is represented in a range, where 0 means worst and 5 means best access.Measure:Percent Households with Broadband Access, 5 Means Best AccessSource: Federal Communications Commission, Atlanta Regional CommissionDate: December 2010
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the method of transportation, in numbers and percentages, that workers use to get to work and their mean travel time by census tract in the Atlanta region.Measures:Workers, 16 years and overCar, truck, or van - Drove alone% Car, truck, or van - Drove aloneCar, truck, or van - Carpooled% Car, truck, or van - CarpooledPublic Transportation (excluding taxicab)% Public Transportation ( excluding taxicab)Worked at home% Worked at homeMean travel time to work (minutes)Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Mean_Travel_Time_to_Work_min
(
type: esriFieldTypeDouble, alias: Mean Travel Time to Work in Minutes, editable: true, nullable: true, defaultValue: null, modelName: Mean_Travel_Time_to_Work_min
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey in order to show the count of the civilian noninstitutionalized population who are disabled by census tract in the Atlanta region. Measures:Civilian Noninstitutionalized Population Under 18 YearsCivilian Noninstitutionalized Under 18 Years with a Disability% Civilian Noninstitutionalized Under 18 Years with a DisabilityCivilian Noninstitutionalized Population 18 to 64 YearsCivilian Noninstitutionalized 18 to 64 Years with a Disability% Civilian Noninstitutionalized 18 to 64 Years with a DisabilityCivilian Noninstitutionalized Population 65 Years and OverCivilian Noninstitutionalized 65 Years and Over with a Disability% Civilian Noninstitutionalized 65 Years and Over with a DisabilitySource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pop_Change_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000-2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Change_per_SqMi_2000_2010
)
Civilian_Pop_18_Years_Older
(
type: esriFieldTypeDouble, alias: Civilian Population 18 Years of Age and Older, editable: true, nullable: true, defaultValue: null, modelName: Civilian_Pop_18_Years_Older
)
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeDouble, alias: Civilian non-Institutionalized Population with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: Percent Civilian non-Institutionalized Population with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeDouble, alias: Civilian non-Institutionalized Population Under 18 Years Old, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Civilian non-Institutionalized under 18 Years with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Percent Civilian non-Institutionalized under 18 years with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeDouble, alias: Civilian non_Institutionalized Population 18 to 64 years old, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeDouble, alias: Civilian non_Insitutionalized 18 to 64 years with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: Percent Civilian non_Institutionalized 18 to 64 years with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeDouble, alias: Civilian non-Institutionalized Population 65 Years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Civilian non-Institutionalized 65 Years and Over with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Percent Civilian non_Institutionalized 65 years and Over with a Disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the percentage of educational attainment by census tract in the Atlanta region. Measures:% Less than high school graduation/GED% Bachelor's Degree or HigherSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from Equity Depot to show the foreclosures in the Atlanta region by census tract.Measures:Number of Foreclosures, 2013Foreclosures per Square Mile, 2013Number of Foreclosures, 2012Foreclosures per Square Mile, 2012Number of Foreclosures, 2011Foreclosures per Square Mile, 2011Source: Equity Depot, Atlanta Regional CommissionDate: 2013
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the number and percentage of foreign and native born U.S. citizens and non-citizens by census tract in the Atlanta region.Measures:Percent Foreign Born, Not a U.S. CitizenForeign Born, Not a U.S. CitizenPercent Foreign Born, Naturalized U.S. CitizenForeign Born, Naturalized U.S. CitizenPercent Foreign BornForeign BornPercent U.S. Native, Born in a Different StateU.S. Native, Born in a Different StatePercent U.S. Native, Born in State of ResidenceU.S. Native, Born in State of ResidencePercent U.S. Native, Born in the United StatesU.S. Native, Born in the United StatesPercent U.S. NativeU.S. NativeSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: Percent U.S. Native Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
US_Native_Born_Diff_State
(
type: esriFieldTypeDouble, alias: U.S. Native Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Percent U.S. Native Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: U.S. Native Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: Percent U.S. Native Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_in_US
(
type: esriFieldTypeDouble, alias: U.S. Native Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show unininsured, insured, and type of insurance for the civilian population by census tract in the Atlanta Region.Measures:Population With Health Insurance CoveragePercent Population With Health Insurance CoveragePopulation With Private Health InsurancePercent Population With Private Health InsurancePopulation With Public CoveragePercent Population With Public CoveragePopulation With No Health Insurance CoveragePercent Population With No Health Insurance CoveragePopulation Under 18 Years With No Health InsurancePercent Population Under 18 Years With No Health InsurancePopulation Ages 18 to 64, EmployedPopulation Ages 18 to 64, Employed With No Health InsurancePercent Population Ages 18 to 64, Employed With No Health InsurancePopulation Ages 18 to 64, UnemployedPopulation Ages 18 to 64, Unemployed With No Health InsurancePercent Population Ages 18 to 64, Unemployed With No Health InsurancePopulation Ages 18 to 64, Not in Labor ForcePopulation Ages 18 to 64, Not in Labor Force With No Health InsurancePercent Population Ages 18 to 64, Not in Labor Force With No Health InsuranceSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Pop_wHealth_Insurance
(
type: esriFieldTypeDouble, alias: Population with Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: Percent Population with Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Population with Private Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Percent Population with Private Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Pct_Pop_wPub_Health_Ins
(
type: esriFieldTypeDouble, alias: Percent Population with Public Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPub_Health_Ins
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Population with No Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Percent Population with No Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Population Under 18 Years with No Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Percent Population Under 18 Years with No Health Insurance Coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Employed
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64 Employed, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Employed
)
Pop_18to64_Empl_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64, Employed with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Empl_wNo_Health_Ins
)
Pct_Pop_18to64_Emp_wNo_Hlth_Ins
(
type: esriFieldTypeDouble, alias: Percent Population Ages 18 to 64, Employed with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Emp_wNo_Hlth_Ins
)
Pop_18to64_Unemployed
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64 Unemployed, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemployed
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64 Unemployed with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: Percent Population Ages 18 to 64 Unemployed with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64 Not in Labor Force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Population Ages 18 to 64 Not in Labor Force with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Percent Population Ages 18 to 64 Not in Labor Force with No Health Insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show housing affordability by census tract in the Atlanta region.Measures:Housing units for which Selected Monthly Owner Costs as Percent of household income are computedSelected Monthly Owner Costs 30 Percent or more of household incomePercent Selected Monthly Owner Costs 30 Percent or more of household incomeHousing units for which Gross rent as a percentage of income is computedGross rent as a percentage of household income is 30 Percent or morePercent Gross rent as a percentage of household income is 30 Percent or moreHousing units for own or rent are computedHousing costs all units are 30 Percent or more of household incomePercent Housing costs all units are 30 Percent or more of household incomeSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeDouble, alias: Housing Units for Which Selected Monthly Owner Costs as a Percentage of Household Income are Computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeDouble, alias: Selected Monthly Owner Costs 30% or more of Household Income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: Percent Selected Monthly Owner Costs 30% or more of Household Income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeDouble, alias: Housing Units for Which Gross Rent as a Percentage of Income is Computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeDouble, alias: Gross Rent as a Percantage of Household Income is 30% or More, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: Percent Gross Rent as a Percentage of Household Income is 30% or More, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeDouble, alias: Housing Units for Own or Rent are Computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeDouble, alias: Housing Costs, All Units are 30% or More of Household Income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: Percent Housing Costs, All Units are 30% or More of Household Income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the characteristics of housing units by census tract in the Atlanta region.Measures:Total Housing UnitsOccupied Housing UnitsPercent Occupied Housing UnitsVacant Housing UnitsPercent Vacant Housing UnitsHomeowner Vacancy RateRental Vacancy RateOne Unit Detached Housing UnitsPercent One Unit Detached Housing UnitsHousing Units Built since 2000Percent Housing Units Built Since 2000Housing Units Built 1980 to 1999Percent Housing Units Built 1980 to 1999Housing Units Built 1979 or EarlierPercent Housing Units Built 1979 or EarlierOwner Occupied Housing UnitsPercent Owner Occupied Housing UnitsRenter Occupied Housing UnitsPercent Renter Occupied Housing UnitsSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010, 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the number and percentage of U.S. population 5 years and older that speaks English less than "very well" by census tract in the Atlanta region.Measures:Population 5 Years and OverSpeak English Less Than "Very Well"Percent Speak English Less Than "Very Well"Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the number and percentages of migration into the Atlanta region by census tract.Measures:Population 1 Year and OlderPopulation Did Not MovePercent of Population Did Not MovePopulation Who Moved Last YearPercent of Population Who Moved Last YearPopulation Who Moved From Different State Last YearPercent Population Who Moved From Different State Last YearPopulation Who Moved From Abroad Last YearPercent Population Who Moved From Abroad Last YearSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2007-2011
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Pop_Moved_From_Diff_State
(
type: esriFieldTypeDouble, alias: Population Who Moved From Different State Last Year, editable: true, nullable: true, defaultValue: null, modelName: Pop_Moved_From_Diff_State
)
Pct_Pop_Moved_Diff_State
(
type: esriFieldTypeDouble, alias: Percent Population Who Moved From Different State Last Year, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Moved_Diff_State
)
Pop_Who_Moved_From_Abroad
(
type: esriFieldTypeDouble, alias: Population Who Moved From Abroad Last Year, editable: true, nullable: true, defaultValue: null, modelName: Pop_Who_Moved_From_Abroad
)
Pct_Pop_Moved_From_Abroad
(
type: esriFieldTypeDouble, alias: Percent Population Who Moved From Abroad Last Year, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Moved_From_Abroad
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Home Mortgage Disclosure Act to show mortgage loan types and amounts originated by census tract in the Atlanta region.Measures:All Loans Originated, 2013Home Purchase Loans Originated, 2013Refinancing Loans Originated, 2013All Originated Loans per Square Mile, 2013Home Purchase Loans Originated per Square Mile, 2013Refinancing Loans Originated per Square Mile, 2013Average Amount of Home Purchase Loans Originated (in thousands), 2013Average Applicant Income of Home Purchase Loans Originated (in thousands), 2013Average Loan Amount of Refinancing Loans Originated (in thousands), 2013Average Applicant Income of Refinancing Loans Originated (in thousands), 2013All Loans Originated, 2012Home Purchase Loans Originated, 2012Refinancing Loans Originated, 2012All Originated Loans per Square Mile, 2012Home Purchase Loans Originated per Square Mile, 2012Refinancing Loans Originated per Square Mile, 2012Average Amount of Home Purchase Loans Originated (in thousands), 2012Average Applicant Income of Home Purchase Loans Originated (in thousands), 2012Average Loan Amount of Refinancing Loans Originated (in thousands), 2012Average Applicant Income of Refinancing Loans Originated (in thousands), 2012Change, All Loans Originated, 2012-2013Change, Home Purchase Loans Originated, 2012-2013Change, Refinancing Loans Originated, 2012-2013Change, All Originated Loans per Square Mile, 2012-2013Change, Home Purchase Loans Originated per Square Mile, 2012-2013Change, Refinancing Loans Originated per Square Mile, 2012-2013Square MilesSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011, 2012
AvgAmt_HomePurchLoans_2013
(
type: esriFieldTypeDouble, alias: Average Amount of Home Purchase Loans Originated (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgAmt_HomePurchLoans_2013
)
AvgAppIncome_HmPurch_2013
(
type: esriFieldTypeDouble, alias: Average Applicant Income of Home Purchase Loans Originated (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgAppIncome_HmPurch_2013
)
AvgLoanAmt_Refi_2013
(
type: esriFieldTypeDouble, alias: Average Loan Amount of Refinancing Loans Originated (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgLoanAmt_Refi_2013
)
AvgAppIncome_RefiLoans_2013
(
type: esriFieldTypeDouble, alias: Average Applicant Income of Refinancing Loans Originated (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgAppIncome_RefiLoans_2013
)
HomePurchLoansOrig_2012
(
type: esriFieldTypeDouble, alias: Home Purchase Loans Originated in 2012, editable: true, nullable: true, defaultValue: null, modelName: HomePurchLoansOrig_2012
)
AvgAmtHomePurchLoans_2012
(
type: esriFieldTypeDouble, alias: Average Amount of Home Purchase Loans Originated (in thousands) in 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgAmtHomePurchLoans_2012
)
AvgAppIncom_HomePurchLoans_2012
(
type: esriFieldTypeDouble, alias: Average Applicant Income of Home Purchase Loans Originated (in thousands) in 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgAppIncom_HomePurchLoans_2012
)
AvgLoanAmt_RefiLoans_2012
(
type: esriFieldTypeDouble, alias: Average Loan Amount of Refinancing Loans Originated (in thousands) in 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgLoanAmt_RefiLoans_2012
)
AvgAppIncome_RefiLoans_2012
(
type: esriFieldTypeDouble, alias: Average Applicant Income of Refinancing Loans Originated (in thousands) in 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgAppIncome_RefiLoans_2012
)
Chng_AllLoansOrig_2012_2013
(
type: esriFieldTypeDouble, alias: Change in All Loans Originated from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_AllLoansOrig_2012_2013
)
Chng_HomePurchLoans_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Home Purchase Loans Originated from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_HomePurchLoans_2012_2013
)
Chng_RefiLoans_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Refinancing Loans Originated from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_RefiLoans_2012_2013
)
Chng_AllLoans_perSqMi_2012_2013
(
type: esriFieldTypeDouble, alias: Change in All Originated Loans per Square Mile from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_AllLoans_perSqMi_2012_2013
)
Chng_HmPurchLn_perSqM_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Home Purchase Loans Originated per Square Mile from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_HmPurchLn_perSqM_2012_2013
)
Chng_RefiLoan_perSqMi_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Refinancing Loans Originated per Square Mile from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_RefiLoan_perSqMi_2012_2013
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show occupation type numbers and percentages by census tract in the Atlanta region.Measures:Civilian Employed Population 16 Years and OverManagement, Business, Science, and Arts OccupationsPercent Management, Business, Science, and Arts OccupationsService OccupationsPercent Service OccupationsSales and Office OccupationsPercent Sales and Office OccupationsNatural Resources, Construction, and Maintenance OccupationsPercent Natural Resources, Construction, and Maintenance OccupationsProduction, Transportation, and Material Moving OccupationsPercent Production, Transportation, and Material Moving OccupationsSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Georgia Department of Human Services to show the numbers, percentages, and changes in population receiving food stamps by census tract in the Atlanta region.Measures:Square MilesHouseholds Receiving Food Stamps, June 2007Individuals Receiving Food Stamps, June 2007Households Receiving Food Stamps per Square Mile, June 2007Individuals Receiving Food Stamps per Square Mile, June 2007Households Receiving Food Stamps, June 2010Individuals Receiving Food Stamps, June 2010Households Receiving Food Stamps per Square Mile, June 2010Individuals Receiving Food Stamps per Square Mile, June 2010Households Receiving Food Stamps, June 2011Individuals Receiving Food Stamps, June 2011Households Receiving Food Stamps per Square Mile, June 2011Individuals Receiving Food Stamps per Square Mile, June 2011Households Receiving Food Stamps, June 2012Individuals Receiving Food Stamps, June 2012Households Receiving Food Stamps per Square Mile, June 2012Individuals Receiving Food Stamps per Square Mile, June 2012Households Receiving Food Stamps, June 2013Individuals Receiving Food Stamps, June 2013Households Receiving Food Stamps per Square Mile, June 2013Individuals Receiving Food Stamps per Square Mile, June 2013Individuals Receiving Food Stamps per Square Mile, June 2014Percent of Population Receiving Food Stamps, June 2010, Denominator is Decennial CountChange in Individuals Receiving Food Stamps, 2007-2014Change in Individuals Receiving Food Stamps, 2007-2010Change in Individuals Receiving Food Stamps, 2010-2014Change in Individuals Receiving Food Stamps, 2013-2014Change in Individuals Receiving Food Stamps per Square Mile, 2007-2014Change in Individuals Receiving Food Stamps per Square Mile, 2007-2010Change in Individuals Receiving Food Stamps per Square Mile, 2010-2014Change in Individuals Receiving Food Stamps per Square Mile, 2013-2014Source: Georgia Department of Human Services, Atlanta Regional CommissionDate: 2013
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Georgia Department of Public Health to show births classified by baby health and mother type by census tract in the Atlanta region.Measures:Total Births, 2008-2012Births to Teens, 15 to 19, 2008-2012Low Birthweight Births, 2500 grams, 2008-2012Premature Births, 37 Weeks Gestation, 2008-2012Births to Females, 12th Grade Education, 2008-2012Total Births per Square Mile, 2008-2012Births to Teens, 15 to 19, per Square Mile, 2008-2012Low Birthweight Births, 2500 grams, per Square Mile, 2008-2012Premature Births, 37 Weeks Gestation, per Square Mile, 2008-2012Births to Females, 12th Grade Education, per Square Mile, 2008-2012Births to Teens, 15 to 19, per 1000 Births, 2008-2012Low Birthweight Births, 2500 grams, per 1000 Births, 2008-2012Premature Births, 37 Weeks, per 1000 Births, 2008-2012Births to Females, 12th Grade Education, per 1000 Births, 2008-2012Square MilesSource: Georgia Department of Public Health, Atlanta Regional CommissionDate: 2007-2011
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
BirthsTeens_15_19_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Teens, 15 to 19 Years old from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: BirthsTeens_15_19_2008_2012
)
BirthsFem_12thGradeEd_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Females, 12th Grade Education from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: BirthsFem_12thGradeEd_2008_2012
)
Tot_Births_per_SqMi_2008_2012
(
type: esriFieldTypeDouble, alias: Total Births per Square Mile from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: Tot_Births_per_SqMi_2008_2012
)
BrthTeen_15_19_perSqM_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Teens, 15 to 19 Years per Square Mile from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: BrthTeen_15_19_perSqM_2008_2012
)
LowBrthW_2500g_perSqM_2008_2012
(
type: esriFieldTypeDouble, alias: Low Birthweight Births, 2500 grams Per Square Mile from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: LowBrthW_2500g_perSqM_2008_2012
)
PreBrths_37wks_perSqM_2008_2012
(
type: esriFieldTypeDouble, alias: Premature Births, 37 Weeks Gestation per Square Mile from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: PreBrths_37wks_perSqM_2008_2012
)
Brth_12thGrdEd_perSqM_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Females, 12th Grade Education per Square Mile from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: Brth_12thGrdEd_perSqM_2008_2012
)
BthTn_15_19_per1kBth_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Teens, 15 to 19 per 1,000 Births from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: BthTn_15_19_per1kBth_2008_2012
)
LwBthW_2500g_per1kbth_2008_2012
(
type: esriFieldTypeDouble, alias: Low Birthweight Births, 2500 grams, per 1000 Births from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: LwBthW_2500g_per1kbth_2008_2012
)
PreM_37wks_per1kBrth_2008_2012
(
type: esriFieldTypeDouble, alias: Premature Births, 37 Weeks, per 1000 Births from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: PreM_37wks_per1kBrth_2008_2012
)
BthFw12thGrdEd_per1k_2008_2012
(
type: esriFieldTypeDouble, alias: Births to Females with 12th Grade Education, per 1000 births from 2008 to 2012, editable: true, nullable: true, defaultValue: null, modelName: BthFw12thGrdEd_per1k_2008_2012
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show unemployment numbers and percentages by census tract for the Atlanta region.Measures:Population, 16 Years and OverCivilian Labor ForcePercent Civilian Labor ForceUnemployed, Civilian Labor ForcePercent Unemployed, Civilian Labor ForceSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show vehicle availability numbers and percentages by census tract for the Atlanta region.Measures:Occupied Housing UnitsTotal Housing UnitsNo Vehicles AvailablePercent, No Vehicles AvailableSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show civilian veteran numbers and percentages by census tract in the Atlanta region.Measures:Civilian Population 18 Years and OverCivilian VeteransPercent Civilian VeteransSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from the 2010 U.S. Census to show the count and percentage of children under the age of 5 by census tract within the Atlanta Region.Measures:Under 5 Population, 2010Percent Population Under 5, 2010Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show employment estimates for various job categories by census tract in the Atlanta region.Measures:Agriculture, Forestry Fishing and Hunting Jobs, 2012Mining Jobs, 2012Utilities Sector Jobs, 2012Construction Jobs, 2012Manufacturing, Non-Durable, Jobs, 2012Manufacturing, Durable, Jobs, 2012Wholesale Trade Jobs, 2012Retail Trade Jobs, 2012Transportation & Warehousing Jobs, 2012Information Jobs, 2012Finance Jobs, 2012Real Estate, Rental and Leasing, Jobs, 2012Professional, Scientific, and Technical Services Jobs, 2012Management of Companies Jobs, 2012Administrative/Waste Management Jobs, 2012Educational Services Jobs, 2012Health & Social Assistance Jobs, 2012Arts, Entertainment, and Recreation Jobs, 2012Accommodation and Food Services Jobs, 2012Other Services (not Public Administration) Jobs, 2012Public Administration Jobs, 2012Other, Unclassified Sector Jobs, 2012Total Jobs, 2012Agriculture, Forestry, Fishing, and Hunting Jobs, 2010Mining Jobs, 2010Utilities Sector Jobs, 2010Construction Jobs, 2010Manufacturing, Non-Durable, Jobs, 2010Manufacturing, Durable, Jobs, 2010Wholesale Trade Jobs, 2010Retail Trade Jobs, 2010Transportation & Warehousing Jobs, 2010Information Jobs, 2010Finance Jobs, 2010Real Estate, Rental and Leasing, Jobs, 2010Professional, Scientific, and Technical Services Jobs, 2010Management of Companies Jobs, 2010Administrative/Waste Management Jobs, 2010Educational Services Jobs, 2010Health & Social Assistance Jobs, 2010Arts, Entertainment, and Recreation Jobs, 2010Accommodation and Food Services Jobs, 2010Other Services (not Public Administration) Jobs, 2010Public Administration Jobs, 2010Other, Unclassified Sector Jobs, 2010Total Jobs, 2010Total Job Change, 2010-2012Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2012
Pct_Accomod_Food_Svcs_jobs_2012
(
type: esriFieldTypeDouble, alias: Percent Accomodation and Food Services jobs in 2012, editable: true, nullable: true, defaultValue: null, modelName: Pct_Accomod_Food_Svcs_jobs_2012
)
Pct_OthrSvc_notPubAdm_jobs_2012
(
type: esriFieldTypeDouble, alias: Percent Other Services not Pub Administration jobs in 2012, editable: true, nullable: true, defaultValue: null, modelName: Pct_OthrSvc_notPubAdm_jobs_2012
)
Pct_Public_Admin_jobs_2012
(
type: esriFieldTypeDouble, alias: Percent Public Administration jobs in 2012, editable: true, nullable: true, defaultValue: null, modelName: Pct_Public_Admin_jobs_2012
)
Pct_Othr_Unclas_Sect_jobs_2012
(
type: esriFieldTypeDouble, alias: Percent Other Unclassified Sector jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Othr_Unclas_Sect_jobs_2012
)
Agri_For_Fish_Hunt_jobs_2010
(
type: esriFieldTypeDouble, alias: Agriculture, Forestry, Fishing, and Hunting jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Agri_For_Fish_Hunt_jobs_2010
)
Manuf_nonDurable_jobs_2010
(
type: esriFieldTypeDouble, alias: Manufacturing non-Durable jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Manuf_nonDurable_jobs_2010
)
Manufact_Durable_jobs_2010
(
type: esriFieldTypeDouble, alias: Manufacturing Durable jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Manufact_Durable_jobs_2010
)
Transport_Wareh_jobs_2010
(
type: esriFieldTypeDouble, alias: Transportation Warehousing jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Transport_Wareh_jobs_2010
)
RealEst_RentLease_jobs_2010
(
type: esriFieldTypeDouble, alias: Real Estate Rental and Leasing jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: RealEst_RentLease_jobs_2010
)
Pro_Sci_Tech_Svcs_jobs_2010
(
type: esriFieldTypeDouble, alias: Professional, Scientific, and Technical Services jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pro_Sci_Tech_Svcs_jobs_2010
)
Mgmt_of_Comps_jobs_2010
(
type: esriFieldTypeDouble, alias: Management of Companies jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Mgmt_of_Comps_jobs_2010
)
Admin_Waste_Mgmt_jobs_2010
(
type: esriFieldTypeDouble, alias: Administrative Waste Management jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Admin_Waste_Mgmt_jobs_2010
)
Health_Soc_Assist_jobs_2010
(
type: esriFieldTypeDouble, alias: Health Social Assistance jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Health_Soc_Assist_jobs_2010
)
Arts_Entert_Rec_jobs_2010
(
type: esriFieldTypeDouble, alias: Arts, Entertainment, and Recreation jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Arts_Entert_Rec_jobs_2010
)
Accommod_Food_Svcs_jobs_2010
(
type: esriFieldTypeDouble, alias: Accommodation and Food Services jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Accommod_Food_Svcs_jobs_2010
)
OthrSvcs_not_PubAdmin_jobs_2010
(
type: esriFieldTypeDouble, alias: Other Services not Public Administration jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: OthrSvcs_not_PubAdmin_jobs_2010
)
Public_Admin_jobs_2010
(
type: esriFieldTypeDouble, alias: Public Administration jobs 2010, editable: true, nullable: true, defaultValue: null, modelName: Public_Admin_jobs_2010
)
Othr_Unclas_Sect_jobs_2010
(
type: esriFieldTypeDouble, alias: Other Unclassified Sector jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Othr_Unclas_Sect_jobs_2010
)
Pct_Agr_For_Fish_Hunt_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Agriculture, Forestry, Fishing, and Hunting jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Agr_For_Fish_Hunt_jobs_2010
)
Pct_Utilities_Sect_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Utilities Sector jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Utilities_Sect_jobs_2010
)
Pct_Construction_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Construction jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Construction_jobs_2010
)
Pct_Manuf_nonDura_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Manufacturing non-Durable jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Manuf_nonDura_jobs_2010
)
Pct_Manuf_Durable_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Manufacturing Durable jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Manuf_Durable_jobs_2010
)
Pct_Whlsl_Trade_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Wholesale Trade jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Whlsl_Trade_jobs_2010
)
Pct_Retail_Trade_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Retail Trade jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Retail_Trade_jobs_2010
)
Pct_Transp_Wareh_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Transportation Warehousing jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Transp_Wareh_jobs_2010
)
Pct_RealEst_RentLease_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Real Estate Rental and Leasing jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_RealEst_RentLease_jobs_2010
)
Pct_Pro_Sci_Tech_Svcs_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Professional, Scientific, and Technical Services jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pro_Sci_Tech_Svcs_jobs_2010
)
Pct_Mgmt_of_Comps_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Management of Companies jobs 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Mgmt_of_Comps_jobs_2010
)
Pct_Educat_Svcs_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Educational Services jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Educat_Svcs_jobs_2010
)
Pct_Health_SocAssist_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Health, Social Assistance jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Health_SocAssist_jobs_2010
)
Pct_Arts_Entert_Rec_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Arts, Entertainment, and Recreation jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Arts_Entert_Rec_jobs_2010
)
Pct_Accomm_Food_Svcs_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Accommodation and Food Services jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Accomm_Food_Svcs_jobs_2010
)
Pct_OthSvcs_notPubAd_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Other Services, not Public Administration jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_OthSvcs_notPubAd_jobs_2010
)
Pct_PublicAdmin_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Public Administration jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_PublicAdmin_jobs_2010
)
Pct_Othr_Unclas_Sect_jobs_2010
(
type: esriFieldTypeDouble, alias: Percent Other Unclassified Sector jobs in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Othr_Unclas_Sect_jobs_2010
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission as part of Atlanta Regional Commission's Regional Plan Update for employment changes between 2015 and 2040 by census tract in the Atlanta region.Measures:Change in Total JobsChange in Agriculture, Forestry, Fishing, and Hunting JobsChange in Mining JobsChange in Utilities JobsChange in Construction JobsChange in Manufacturing JobsChange in Wholesale Trade JobsChange in Retail Trade JobsChange in Transportation & Warehousing JobsChange in Information JobsChange in Finance JobsChange in Real Estate, Rental and Leasing JobsChange in Professional, Scientific, and Technical Services JobsChange in Management of Companies JobsChange in Administrative/Waste Management JobsChange in Educational Services JobsChange in Health & Social Assistance JobsChange in Arts, Entertainment, and Recreation JobsChange in Accommodation and Food Services JobsChange in Other Services (not Public Administration) JobsChange in Public Administration JobsChange in % Agriculture, Forestry, Fishing, and Hunting JobsChange in % Mining JobsChange in % Utilities JobsChange in % Construction JobsChange in % Manufacturing JobsChange in % Wholesale Trade JobsChange in % Retail Trade JobsChange in % Transportation & Warehousing JobsChange in % Information JobsChange in % Finance JobsChange in % Real Estate, Rental and Leasing JobsChange in % Professional, Scientific, and Technical Services JobsChange in % Management of Companies JobsChange in % Administrative/Waste Management JobsChange in % Educational Services JobsChange in % Health & Social Assistance JobsChange in % Arts, Entertainment, and Recreation JobsChange in % Accommodation and Food Services JobsChange in % Other Services (not Public Administration) JobsChange in % Public Administration JobsSource: Atlanta Regional CommissionDate: 2015
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Chng_AgForFshHnt_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Agriculture, Forestry, Fishing, and Hunting jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_AgForFshHnt_jobs_2015_2040
)
Change_Mining_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Mining jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Change_Mining_jobs_2015_2040
)
Chng_Util_Sect_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Unitities Sector jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Util_Sect_jobs_2015_2040
)
Chng_Const_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Construction jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Const_jobs_2015_2040
)
Chng_Manuf_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Manufacturing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Manuf_jobs_2015_2040
)
Chng_Whlsl_Trade_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Wholesale Trade jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Whlsl_Trade_jobs_2015_2040
)
Chng_Retail_Trad_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Retail Trade jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Retail_Trad_jobs_2015_2040
)
Chng_Trans_Wareh_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Transportation and Warehousing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Trans_Wareh_jobs_2015_2040
)
Chng_Finance_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Finance jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Finance_jobs_2015_2040
)
Chng_RealEs_Rent_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Real Estate Rental and Leasing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_RealEs_Rent_jobs_2015_2040
)
Chng_ProSciTech_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Professional, Scientific, and Technical Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_ProSciTech_jobs_2015_2040
)
Chng_Mgmt_Comps_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Management of Companies jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Mgmt_Comps_jobs_2015_2040
)
Chng_Ad_Wst_Mgmt_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Administrative Waste Management jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Ad_Wst_Mgmt_jobs_2015_2040
)
Chng_Educ_Svcs_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Educational Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Educ_Svcs_jobs_2015_2040
)
Chng_HealthSocAs_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Health and Social Assistance jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_HealthSocAs_jobs_2015_2040
)
Chng_ArtsEntRec_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Arts, Entertainment, and Recreation jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_ArtsEntRec_jobs_2015_2040
)
Chng_AccFoodSvcs_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Accommodations and Food Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_AccFoodSvcs_jobs_2015_2040
)
Chg_OthrNotPubAd_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Other Services, not Public Administration jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chg_OthrNotPubAd_jobs_2015_2040
)
Chng_PubAdmin_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Public Administration jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_PubAdmin_jobs_2015_2040
)
Chg_Pct_AgFoFiHu_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Agriculture, Forestry, Fishing, and Hunting jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chg_Pct_AgFoFiHu_jobs_2015_2040
)
Chng_Pct_Mining_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Mining jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Mining_jobs_2015_2040
)
Chg_Pct_Util_Sec_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Utilities Sector jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chg_Pct_Util_Sec_jobs_2015_2040
)
Chng_Pct_Const_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Construction jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Const_jobs_2015_2040
)
Chng_Pct_Manuf_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Manufacturing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Manuf_jobs_2015_2040
)
Chng_Pct_WhlslTr_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Wholesale Trade jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_WhlslTr_jobs_2015_2040
)
Chg_Pct_RetailTr_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Retail Trade jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chg_Pct_RetailTr_jobs_2015_2040
)
Chg_Pct_TranspWH_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Transportation and Warehousing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chg_Pct_TranspWH_jobs_2015_2040
)
Chng_Pct_Info_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Information jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Info_jobs_2015_2040
)
Chng_Pct_Finance_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Finance jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Finance_jobs_2015_2040
)
ChgPct_RlEs_Rent_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Real Estate Rental and Leasing jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_RlEs_Rent_jobs_2015_2040
)
ChgPct_ProSciTec_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Professional, Scientific, and Technical Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_ProSciTec_jobs_2015_2040
)
ChgPct_MgmtComps_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Management of Companies jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_MgmtComps_jobs_2015_2040
)
ChgPct_AdWstMgmt_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Administrative Waste Management jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_AdWstMgmt_jobs_2015_2040
)
ChgPct_EducSvcs_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Educational Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_EducSvcs_jobs_2015_2040
)
ChgPct_HlthSocAs_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Health and Social Assistance jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_HlthSocAs_jobs_2015_2040
)
ChgPct_ArtEntRec_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Arts, Entertainment, and Recreation jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_ArtEntRec_jobs_2015_2040
)
ChgPct_AcFoodSvc_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Accommodation and Food Services jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_AcFoodSvc_jobs_2015_2040
)
ChPct_OthNotPubAd_job_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Other Services not Public Administration jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChPct_OthNotPubAd_job_2015_2040
)
ChgPct_PubAdmin_jobs_2015_2040
(
type: esriFieldTypeDouble, alias: Change in Percent Public Administration jobs from 2015 to 2040, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_PubAdmin_jobs_2015_2040
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the number of grandparents living with grandchildren under 18 years of age, and the number and percentage of grandparents responsible for grandchildren by census tract in the Atlanta region.Measures:Grandparents Living With Own Grandchildren Under 18 YearsGrandparents Responsible for GrandchildrenPercent Grandparents Responsible for GrandchildrenSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeDouble, alias: Grandparents Living with Own Grandchildren under 18 Years of Age, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show population change numbers and percentages from 2000 to 2010 by census tract in the Atlanta region.Measures:Population, 2010Population, 2000Population Change, 2000-2010Percent Population Change, 2000-2010Square MilesPopulation Density per Square Mile, 2010Population Change per Square Mile, 2000-2010Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000-2010
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show numbers and percentages for population change by age from 2000 to 2010 by census tract in the Atlanta region.Measures:Median Age, Both Sexes, 2010Median Age for Males, 2010Median Age for Females, 2010Population Under Age 19, 2010Population Ages 20-34, 2010Population Ages 35-44, 2010Population Ages 45-64, 2010Population Ages 65 and Over, 2010Percent Population Under Age 19, 2010Percent Population Ages 20-34, 2010Percent Population Ages 35-44, 2010Percent Population Ages 45-64, 2010Percent Population Ages 65 and Over, 2010Population Under Age 19, 2000Population Ages 20-34, 2000Population Ages 35-44, 2000Population Ages 45-64, 2000Population Ages 65 and Over, 2000Percent Population Under Age 19, 2000Percent Population Ages 20-34, 2000Percent Population Ages 35-44, 2000Percent Population Ages 45-64, 2000Percent Population Ages 65 and Over, 2000Change in Population Under Age 19, 2000-2010Change in Population Ages 20-34, 2000-2010Change in Population Ages 35-44, 2000-2010Change in Population Ages 45-64, 2000-2010Change in Population Ages 65 and Over, 2000-2010Change in Percent Population Under Age 19, 2000-2010Change in Percent Population Ages 20-34, 2000-2010Change in Percent Population Ages 35-44, 2000-2010Change in Percent Population Ages 45-64, 2000-2010Change in Percent Population Ages 65 and Over, 2000-2010Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000-2010
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Pop_Ages_65_and_Older_2010
(
type: esriFieldTypeDouble, alias: Population Ages 65 and Older in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Ages_65_and_Older_2010
)
Pct_Pop_Under_Age19_2010
(
type: esriFieldTypeDouble, alias: Percent Population Under Age 19 in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Under_Age19_2010
)
Pct_Pop_Ages_20_34_2010
(
type: esriFieldTypeDouble, alias: Percent Population Ages 20 to 34 in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_20_34_2010
)
Pct_Pop_Ages_35_44_2010
(
type: esriFieldTypeDouble, alias: Percent Population Ages 35 to 44 in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_35_44_2010
)
Pct_Pop_Ages_45_64_2010
(
type: esriFieldTypeDouble, alias: Percent Population Ages 45 to 64 in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_45_64_2010
)
Pct_Pop_Ages_65_Older
(
type: esriFieldTypeDouble, alias: Percent Population Ages 65 and Over in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_65_Older
)
Pop_Ages_65_Older_2000
(
type: esriFieldTypeDouble, alias: Population Ages 65 and Older in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pop_Ages_65_Older_2000
)
Pct_Pop_Under19_2000
(
type: esriFieldTypeDouble, alias: Percent Population Under Age 19 in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Under19_2000
)
Pct_Pop_Ages_20_34_2000
(
type: esriFieldTypeDouble, alias: Percent Population Ages 20 to 34 in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_20_34_2000
)
Pct_Pop_Ages_35_44_2000
(
type: esriFieldTypeDouble, alias: Percent Population Ages 35 to 44 in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_35_44_2000
)
Pct_Pop_Ages_45_64_2000
(
type: esriFieldTypeDouble, alias: Percent Population Ages 45 to 64 in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_45_64_2000
)
Pct_Pop_Ages_65older_2000
(
type: esriFieldTypeDouble, alias: Percent Population Ages 65 and Older in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_Ages_65older_2000
)
Chng_Pct_Pop_Under19_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Population Under 19 from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Pop_Under19_2000_2010
)
ChgPctPop_Ages_20_34_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Population Ages 20 to 34 from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: ChgPctPop_Ages_20_34_2000_2010
)
Chg_Pct_Pop_35_44_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Population Ages 35 to 44 from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chg_Pct_Pop_35_44_2000_2010
)
Chng_Pct_Pop_45_64_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Population Ages 45 to 64 from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Pop_45_64_2000_2010
)
Chng_Pop_Ages_65older
(
type: esriFieldTypeDouble, alias: Change in Population Ages 65 and Older, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pop_Ages_65older
)
Chng_Pct_Pop_65older
(
type: esriFieldTypeDouble, alias: Change in Percent Population Ages 65 and Older from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Pop_65older
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show numbers and percentages for population change by race by census tract in the Atlanta Region.Measures:Population, 2010Population, 2000White, 2010Black, 2010Asian Pacific Islander, 2010Other Races, Includes Biracial, 2010Hispanic, All Races, 2010All Non-White, 2010Percent White, 2010Percent Black, 2010Percent Asian Pacific Islander, 2010Percent Other Races, Includes Biracial, 2010Percent Hispanic, All Races, 2010Percent All Non-White, 2010White, 2000Black, 2000Asian Pacific Islander, 2000Other Races, Includes Biracial, 2000Hispanic, All Races, 2000All Non-White, 2000Percent White, 2000Percent Black, 2000Percent Asian Pacific Islander, 2000Percent Other Races, Includes Biracial, 2000Percent Hispanic, All Races, 2000Percent All Non-White, 2000Change in White Population, 2000-2010Change in Black Population, 2000-2010Change in Asian Pacific Islander Population, 2000-2010Change in Other Races, Includes Biracial Population, 2000-2010Change in Hispanic, All Races Population, 2000-2010Change in Percent White Population, 2000-2010Change in Percent Black Population, 2000-2010Change in Percent Asian Pacific Islander Population, 2000-2010Change in Percent Other Races, Includes Biracial Population, 2000-2010Change in Percent Hispanic, All Races Population, 2000-2010Changed from Majority White to Majority Non-White, 2000-2010Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000-2010
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
OthrRaces_InclBiracial_2010
(
type: esriFieldTypeDouble, alias: Other Races, includes Biracial in 2010, editable: true, nullable: true, defaultValue: null, modelName: OthrRaces_InclBiracial_2010
)
Pct_Asian_PacIslander_2010
(
type: esriFieldTypeDouble, alias: Percent Asian Pacific Islander in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Asian_PacIslander_2010
)
Pct_OthrRaces_inclBiracial_2010
(
type: esriFieldTypeDouble, alias: Percent Other Races, Includes Biracial in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_OthrRaces_inclBiracial_2010
)
Pct_Hispanic_allRaces_2010
(
type: esriFieldTypeDouble, alias: Percent Hispanic, All Races in 2010, editable: true, nullable: true, defaultValue: null, modelName: Pct_Hispanic_allRaces_2010
)
OthrRaces_inclBiracial_2000
(
type: esriFieldTypeDouble, alias: Other Races, Includes Biracial in 2000, editable: true, nullable: true, defaultValue: null, modelName: OthrRaces_inclBiracial_2000
)
Pct_Asian_PacIslander_2000
(
type: esriFieldTypeDouble, alias: Percent, Asian Pacific Islander in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Asian_PacIslander_2000
)
Pct_OthrRaces_inclBiracial_2000
(
type: esriFieldTypeDouble, alias: Percent Other Races, Includes Biracial in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_OthrRaces_inclBiracial_2000
)
Pct_Hispanic_allRaces_2000
(
type: esriFieldTypeDouble, alias: Percent Hispanic, All Races in 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Hispanic_allRaces_2000
)
Chg_Asian_PacIslander_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Asian Pacific Islander Population from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chg_Asian_PacIslander_2000_2010
)
Chg_Othr_inclBiracial_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Other Races, includes Biracial Population from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chg_Othr_inclBiracial_2000_2010
)
Chng_Pct_White_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent White from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_White_2000_2010
)
Chng_Pct_Black_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Black from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Black_2000_2010
)
ChngPct_AsiaPacIsland_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Asian Pacific Islander from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: ChngPct_AsiaPacIsland_2000_2010
)
ChngPct_OthrIincBirac_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Other, includes Biracial from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: ChngPct_OthrIincBirac_2000_2010
)
Chng_Pct_Hispanic_2000_2010
(
type: esriFieldTypeDouble, alias: Change in Percent Hispanic Population from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_Hispanic_2000_2010
)
Chng_MajWhite_to_MajNonWhite
(
type: esriFieldTypeDouble, alias: Changed From Majority White to Majority Non-White from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_MajWhite_to_MajNonWhite
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show numbers and percentages of population in poverty by census tract in the Atlanta region.Measures:Population for Whom Poverty Status is DeterminedPopulation in PovertyPercent Population in PovertyPopulation Under 18 Years for Whom Poverty Status is DeterminedPopulation Under 18 Years in PovertyPercent Population Under 18 Years in PovertyPopulation 18 to 64 Years for Whom Poverty Status is DeterminedPopulation 18 to 64 Years in PovertyPercent Population 18 to 64 Years in PovertyPopulation 65 Years and Over for Whom Poverty Status is DeterminedPopulation 65 Years and Over in PovertyPercent Population 65 Years and Over in PovertySource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Pop_PovertyStatus_Determined
(
type: esriFieldTypeDouble, alias: Population for Whom Poverty Status is Determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Pop_under18_PovStatus_Determine
(
type: esriFieldTypeDouble, alias: Population under 18 Years of Age for Whom Poverty Status is Determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatus_Determine
)
Pop_under18_inPoverty
(
type: esriFieldTypeDouble, alias: Population Under 18 Years Old in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_inPoverty
)
Pct_Pop_u18_in_Poverty
(
type: esriFieldTypeDouble, alias: Percent Population Under 18 Years Old in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_in_Poverty
)
Pop_18_64_PovStatus_Determ
(
type: esriFieldTypeDouble, alias: Population 18 to 64 Years Old for Whom Poverty Status is Determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determ
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Population 18 to 64 Years Old in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_inPoverty
(
type: esriFieldTypeDouble, alias: Percent Population 18 to 64 Years Old in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_inPoverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeDouble, alias: Population 65 Years and Older for Whom Poverty Status is Determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Population 65 Years and Older in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_inPoverty
(
type: esriFieldTypeDouble, alias: Percent Population 65 Years and Older in Poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_inPoverty
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show numbers and percentages for school enrollment by grade/year by census tract in the Atlanta region.Measures:Population 3 Years and Over Enrolled In SchoolNursery School, PreschoolPercent Nursery School, PreschoolKindergartenPercent KindergartenElementary School, Grades 1-8Percent Elementary School, Grades 1-8High School, Grades 9-12Percent High School, Grades 9-12College or Graduate SchoolPercent College or Graduate SchoolSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Community Reinvestment Act to show numbers and percentages of small business loans in 2010 classified by amount by census tract in the Atlanta region.Measures:Square MilesNumber of Small Business Loans Originated, Less Than or Equal to $100,000 in 2012Number of Small Business Loans Originated, $100,000 to $250,000 in 2012Number of Small Business Loans Originated, $250,000 to $1,000,000 in 2012Number of Small Business Loans Originated With Gross Annual Revenue Less Than or Equal to $1,000,000 in 2012Total Number of Small Business Loans Originated in 2012Total Number of Small Business Loans Originated per Square Mile in 2012Percentage of Number of Small Business Loans Originated, Less Than or Equal to $100,000 in 2012Percentage of Number of Small Business Loans Originated, $250,000 to $1,000,000 in 2012Percentage of Number of Small Business Loans Originated, Less Than or Equal to $1,000,000 in 2012Percentage of All Small Business Loans Originated With Gross Annual Revenue Less Than or Equal to $1,000,000 in 2012Total Amount of Small Business Loans Originated (in thousands), Less Than or Equal to $100,000 in 2012Total Amount of Small Business Loans Originated (in thousands), $100,000 to $250,000 in 2012Total Amount of Small Business Loans Originated (in thousands), $250,000 to $1,000,000 in 2012Total Amount of Small Business Loans Originated (in thousands) With Annual Revenue Less Than or Equal to $1,000,000 in 2012Total Amount of Small Business Loans Originated (in thousands) in 2012Total Amount of Small Business Loans Originated (in thousands) per Square Mile in 2012Percentage of Total Small Business Loans Originated, Less Than or Equal to $100,000 in 2012Percentage of Total Small Business Loans Originated, $250,000 to $1,000,000 in 2012Percentage of Total Small Business Loans Originated, Less Than or Equal to $1,000,000 in 2012Percentage of Small Business Loans Originated With Gross Annual Revenuc Less Than or Equal to $1,000,000 in 2012Total Number of Small Business Loans Purchased in 2012Total Amount of Small Business Loans (in thousands) Purchased in 2012Change in total Small Business Loans Originated, 2012-2013Change in total Small Business Loan Amount Originated (in thousands), 2012-2013Source: Community Reinvestment Act, Atlanta Regional CommissionDate: 2012
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Num_SBloans_lessEq_100k_2012
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated less than or equal to $100,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: Num_SBloans_lessEq_100k_2012
)
Num_SBloans_100k_250k_2012
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated from $100,000 to $250,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: Num_SBloans_100k_250k_2012
)
Num_SBloans_250k_1M_2012
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated from $250,000 to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: Num_SBloans_250k_1M_2012
)
Num_SBloans_GrAnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated with Gross Annual Revenue less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: Num_SBloans_GrAnRev_lessEq_1M
)
TotNum_SBloans_Orig_2012
(
type: esriFieldTypeDouble, alias: Total Number of Small Business Loans Originated in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotNum_SBloans_Orig_2012
)
PctNum_SBloans_lessEq_100k_2012
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated less than or equal to $100,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctNum_SBloans_lessEq_100k_2012
)
PctNum_SBloans_250k_1M_2012
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated from $250,000 to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctNum_SBloans_250k_1M_2012
)
PctNum_SBloans_lessEq_1M_2012
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctNum_SBloans_lessEq_1M_2012
)
PctNum_SBlns_GrAnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Percentate of Number of Small Business Loans Originated with Gross Annual Revenue less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctNum_SBlns_GrAnRev_lessEq_1M
)
TotAmt_SBloans1k_lessEq_100k
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated (in thousands) less than or equal to $100,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_SBloans1k_lessEq_100k
)
TotAmt_inKs_SBloans_100k_250k
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Originated from $100,000 to $250,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_inKs_SBloans_100k_250k
)
TotAmt_inKs_SBloans_250k_1M
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Originated from $250,000 to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_inKs_SBloans_250k_1M
)
TotAmt_SBlns_GrAnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Originated with Gross Annual Revenue less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_SBlns_GrAnRev_lessEq_1M
)
TotAmt_inKs_SBloans_2012
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Originated in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_inKs_SBloans_2012
)
PctTot_SBloans_lessEq_100k_2012
(
type: esriFieldTypeDouble, alias: Pecentage of Total Small Business Loans Originated less than or equal to $100,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctTot_SBloans_lessEq_100k_2012
)
PctTot_SBloans_250k_1M_2012
(
type: esriFieldTypeDouble, alias: Percentage of Total Small Business Loans Originated from $250,000 to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctTot_SBloans_250k_1M_2012
)
PctTot_SBloans_lessEq_1M_2012
(
type: esriFieldTypeDouble, alias: Percentage of Total Small Business Loans Originated less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctTot_SBloans_lessEq_1M_2012
)
PctAmt_SBlns_GrAnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Percentage of Amount of Small Business Loans Originated with Gross Annual Renenue less than or equal to $1,000,000 in 2012, editable: true, nullable: true, defaultValue: null, modelName: PctAmt_SBlns_GrAnRev_lessEq_1M
)
TotNum_SBloans_Purchased_2012
(
type: esriFieldTypeDouble, alias: Total Number of Small Business Loans Purchased in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotNum_SBloans_Purchased_2012
)
TotAmt_inKs_SBloans_Purch_2012
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Purchased in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_inKs_SBloans_Purch_2012
)
TotNum_SBloans_perSqMi_2012
(
type: esriFieldTypeDouble, alias: Total Number of Small Business Loans Originated per Square Mile in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotNum_SBloans_perSqMi_2012
)
TotAmt_inKs_SBlns_perSqMi_2012
(
type: esriFieldTypeDouble, alias: Total Amount (in thousands) of Small Business Loans Originated per Square Mile in 2012, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_inKs_SBlns_perSqMi_2012
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the Community Reinvestment Act to show numbers and percentages of small business loans in 2013 classified by amount by census tract in the Atlanta region.Measures:Square MilesNumber of Small Business Loans Originated, Less Than or Equal to $100,000 in 2013Number of Small Business Loans Originated, $100,000 to $250,000 in 2013Number of Small Business Loans Originated, $250,000 to $1,000,000 in 2013Number of Small Business Loans Originated With Gross Annual Revenue Less Than or Equal to $1,000,000 in 2013Total Number of Small Business Loans Originated in 2013Total Number of Small Business Loans Originated per Square Mile in 2013Percentage of Number of Small Business Loans Originated, Less Than or Equal to $100,000 in 2013Percentage of Number of Small Business Loans Originated, $250,000 to $1,000,000 in 2013Percentage of Number of Small Business Loans Originated, Less Than or Equal to $1,000,000 in 2013Percentage of All Small Business Loans Originated With Annual Revenue Less Than or Equal to $1,000,000 in 2013Total Amount of Small Business Loans Originated (in thousands), Less Than or Equal to $100,000 in 2013Total Amount of Small Business Loans Originated (in thousands), $100,000 to $250,000 in 2013Total Amount of Small Business Loans Originated (in thousands), $250,000 to $1,000,000 in 2013Total Amount of Small Business Loans Originated (in thousands) With Annual Revenue Less Than or Equal to $1,000,000 in 2013Total Amount of Small Business Loans Originated (in thousands) in 2013Total Amount of Small Business Loans Originated (in thousands) per Square Mile in 2013Percentage of Total Small Business Loans Originated, Less Than or Equal to $100,000 in 2013Percentage of Total Small Business Loans Originated, $250,000 to $1,000,000 in 2013Percentage of Total Small Business Loans Originated, Less Than or Equal to $1,000,000 in 2013Percentage of Small Business Loans Originated With Gross Annual Revenuc Less Than or Equal to $1,000,000 in 2013Change in total Small Business Loans Originated, 2012-2013Change in total Small Business Loan Amount Originated (in thousands), 2012-2013Source: Community Reinvestment Act, Atlanta Regional CommissionDate: 2013
Pop_Chng_per_SqMi_2000_2010
(
type: esriFieldTypeDouble, alias: Population Change per Square Mile from 2000 to 2010, editable: true, nullable: true, defaultValue: null, modelName: Pop_Chng_per_SqMi_2000_2010
)
Num_SmlBusLoans_less_100k_2013
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated less than or equal to $100,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Num_SmlBusLoans_less_100k_2013
)
Num_SmlBusLoans_100k_250k_2013
(
type: esriFieldTypeSmallInteger, alias: Number of Small Business Loans Originated, $100,000 to $250,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Num_SmlBusLoans_100k_250k_2013
)
Num_SmBusLoans_250k_1m_2013
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated from $250,000 to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Num_SmBusLoans_250k_1m_2013
)
SmBusLoans_GrossAnRev_less_1m
(
type: esriFieldTypeDouble, alias: Number of Small Business Loans Originated with Gross Annual Revenue less than or equal to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: SmBusLoans_GrossAnRev_less_1m
)
TotNum_SmBusLoans_2013
(
type: esriFieldTypeDouble, alias: Total Number of Small Business Loans Originated in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotNum_SmBusLoans_2013
)
TotNum_SmBusLoans_perSqMi_2013
(
type: esriFieldTypeDouble, alias: Total Number of Small Business Loans Originated per Square Mile in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotNum_SmBusLoans_perSqMi_2013
)
Pct_SBloans_lessEq_100k_2013
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated less than or equals $100,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_SBloans_lessEq_100k_2013
)
Pct_SBloans_250k_1M_2013
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated from $250,000 to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_SBloans_250k_1M_2013
)
Pct_SBloans_lessEq_1M_2013
(
type: esriFieldTypeDouble, alias: Percentage of Number of Small Business Loans Originated less than or equal to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_SBloans_lessEq_1M_2013
)
Pct_SBloans_AnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Percentage of all Small Business Loans Originated with Annual Revenue less than or equal to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_SBloans_AnRev_lessEq_1M
)
TotalAmt_SBloans_lessEq_100k_k
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated less than or equal to $100,000 (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotalAmt_SBloans_lessEq_100k_k
)
TotalAmt_SBloans_100k_250k_k
(
type: esriFieldTypeDouble, alias: Total Amoun of Small Business Loans Originated $100,000 to $250,000 (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotalAmt_SBloans_100k_250k_k
)
TotalAmt_SBloans_250k_1M_k
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated from $250,000 to $1,000,000 (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotalAmt_SBloans_250k_1M_k
)
TotAmt_SBloans_AnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated with Annual Revenue less than or equal to $1,000,000 (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_SBloans_AnRev_lessEq_1M
)
TotAmt_SBloans_inKs_2013
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_SBloans_inKs_2013
)
TotAmt_SBloans_per_SqMi_inKs
(
type: esriFieldTypeDouble, alias: Total Amount of Small Business Loans Originated per Square Mile (in thousands) in 2013, editable: true, nullable: true, defaultValue: null, modelName: TotAmt_SBloans_per_SqMi_inKs
)
Pct_Tot_SBloans_lessEq_100k
(
type: esriFieldTypeDouble, alias: Percent of Total Small Business Loans Originated less than or equal to $100,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_Tot_SBloans_lessEq_100k
)
Pct_Tot_SBloans_250k_1M
(
type: esriFieldTypeDouble, alias: Percentage of Total Small Business Loans Originated from $250,000 to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_Tot_SBloans_250k_1M
)
Pct_Tot_SBloans_lessEq_1M
(
type: esriFieldTypeDouble, alias: Percentage of Total Small Business Loans Originated less than or equal to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_Tot_SBloans_lessEq_1M
)
Pct_SBLnAmt_GrsAnRev_lessEq_1M
(
type: esriFieldTypeDouble, alias: Percentage of Small Business Loan Amount Originated with Gross Annual Revenue less than or equal to $1,000,000 in 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_SBLnAmt_GrsAnRev_lessEq_1M
)
Chng_TotSBloans_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Total Small Business Loans Originated from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_TotSBloans_2012_2013
)
Chng_TotSBloanAmt_2012_2013
(
type: esriFieldTypeDouble, alias: Change in Total Small Business Loan Amount (in thousands) Originated from 2012 to 2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_TotSBloanAmt_2012_2013
)
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's On the Map to show characteristics of workers in the Atlanta region by census tract.Measures:Total Workers, 2011Workers Age 29 or Younger, 2011Workers Age 30 to 54, 2011Workers Age 55 or Older, 2011Workers Earnings, $1250 per Month or Less, 2011Workers Earnings, $1251 to $3333 per Month, 2011Workers Earnings, Greater Than $3333 per Month, 2011Percent Workers Age 29 or Younger, 2011Percent Workers Age 30 to 54, 2011Percent Workers Age 55 or Older, 2011Percent Workers Earnings, $1250 per Month or Less, 2011Percent Workers Earnings, $1251 to $3333 per Month, 2011Percent Workers Earnings, Greater Than $3333 per Month, 2011Workers in NAICS sector 11, Agriculture, Forestry, Fishing, and Hunting, 2011Workers in NAICS sector 21, Mining, Quarrying, and Oil & Gas Extraction, 2011Workers in NAICS sector 22, Utilities, 2011Workers in NAICS sector 23, Construction, 2011Workers in NAICS sectors 31 & 33, Manufacturing, 2011Workers in NAICS sector 42, Wholesale Trade, 2011Workers in NAICS sectors 44 & 45, Retail Trade, 2011Workers in NAICS sectors 48 & 49, Transportation and Warehousing, 2011Workers in NAICS sector 51, Information, 2011Workers in NAICS sector 52, Finance and Insurance, 2011Workers in NAICS sector 53, Real Estate and Rental & Leasing, 2011Workers in NAICS sector 54, Professional, Scientific, and Technical Services, 2011Workers in NAICS sector 55, Management of Companies and Enterprises, 2011Workers in NAICS sector 56, Administrative and Support and Waste Management and Remediation Services, 2011Workers in NAICS sector 61, Educational Services, 2011Workers in NAICS sector 62, Health Care and Social Assistance, 2011Workers in NAICS sector 71, Arts, Entertainment, and Recreation, 2011Workers in NAICS sector 72, Accommodation and Food Services, 2011Workers in NAICS sector 81, Other Services, except Public Administration, 2011Workers in NAICS sector 92, Public Administration, 2011Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011
Work_NAICS48_49_TransWareh_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sectors 48 & 49, Transportation and Warehousing in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS48_49_TransWareh_2011
)
Work_NAICS51_Information_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 51, Information in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS51_Information_2011
)
Work_NAICS52_FinanceIns_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 52, Finance and Insurance in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS52_FinanceIns_2011
)
Work_NAICS53_RealEst_Rent_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 53, Real Estate and Rental & Leasing in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS53_RealEst_Rent_2011
)
Work_NAICS54_ProSciTecSvcs_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 54, Professional, Scientific, and Technical Services in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS54_ProSciTecSvcs_2011
)
Work_NAICS55_Mgmt_Comps_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 55, Management of Companies and Enterprises in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS55_Mgmt_Comps_2011
)
Work_NAICS56_AdSupWstMgmtRemed
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 56, Administrative and Support and Waste Management and Remediation Services in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS56_AdSupWstMgmtRemed
)
Work_NAICS62_HlthCar_SocAs_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 62, Health Care and Social Assistance in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS62_HlthCar_SocAs_2011
)
Work_NAICS71_ArtsEntRec_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 71, Arts & Entertainment and Recreation in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS71_ArtsEntRec_2011
)
Work_NAICS72_Acc_FoodSvc_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 72, Accommodation and Food Services in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS72_Acc_FoodSvc_2011
)
Work_NAICS81_Othr_excPubAdmin
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 81, Other Services, except Public Administration in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS81_Othr_excPubAdmin
)
Work_NAICS92_PublicAdmin_2011
(
type: esriFieldTypeDouble, alias: Workers in NAICS sector 92, Public Administration in 2011, editable: true, nullable: true, defaultValue: null, modelName: Work_NAICS92_PublicAdmin_2011
)
Description: This layer respresents USDA Food Access Research Atlas data at the census tract geography. Low Income is defined as tracts with a poverty rate of 20% or higher, or tracts with median family income less than 80% of median family income of the state or metropolitan area. Low Access is defined as tracts where a significant number or share of residents is more than 1 mile (urban) or 10 miles (rural) from the nearest supermarket.http://www.ers.usda.gov/data-products/food-access-research-atlas/go-to-the-atlas.aspxFood accessLimited access to supermarkets, supercenters, grocery stores, or other sources of healthy and affordable food may make it harder for some Americans to eat a healthy diet. There are many ways to measure food store access for individuals and for neighborhoods, and many ways to define which areas are food deserts—neighborhoods that lack healthy food sources. Most measures and definitions take into account at least some of the following indicators of access:Accessibility to sources of healthy food, as measured by distance to a store or by the number of stores in an area.Individual-level resources that may affect accessibility, such as family income or vehicle availability.Neighborhood-level indicators of resources, such as the average income of the neighborhood and the availability of public transportation. In the Food Access Research Atlas, several indicators are available to measure food access along these dimensions. For example, users can choose alternative distance markers to measure low access in a neighborhood, such as the number and share of people more than half a mile to a supermarket or 1 mile to a supermarket. Users can also view other census-tract-level characteristics that provide context on food access in neighborhoods, such as whether the tract has a high percentage of households far from supermarkets and without vehicles, individuals with low income, or people residing in group quarters. Low-income neighborhoodsThe criteria for identifying a census tract as low income are from the Department of Treasury’s New Markets Tax Credit (NMTC) program. This program defines a low-income census tract as any tract where:The tract’s poverty rate is 20 percent or greater; orThe tract’s median family income is less than or equal to 80 percent of the State-wide median family income; orThe tract is in a metropolitan area and has a median family income less than or equal to 80 percent of the metropolitan area's median family income.Low-access census tractsIn the Food Access Research Atlas, low access to healthy food is defined as being far from a supermarket, supercenter, or large grocery store ("supermarket" for short). A census tract is considered to have low access if a significant number or share of individuals in the tract is far from a supermarket.In the original Food Desert Locator, low access was measured as living far from a supermarket, where 1 mile was used in urban areas and 10 miles was used in rural areas to demarcate those who are far from a supermarket. In urban areas, about 70 percent of the population was within 1 mile of a supermarket, while in rural areas over 90 percent of the population was within 10 miles (see Access to Affordable and Nutritious Food: Updated Estimates of Distance to Supermarkets Using 2010 Data). Updating the original 1- and 10-mile low-access measure shows that an estimated 18.3 million people in these low-income and low-access census tracts were far from a supermarket in 2010.Three additional measures of food access based on distance to a supermarket are provided in the Atlas:One additional measure applies a 0.5-mile demarcation in urban areas and a 10-mile distance in rural areas. Using this measure, an estimated 52.5 million people, or 17 percent of the U.S. population, have low access to a supermarket;A second measure applies a 1.0-mile demarcation in urban areas and a 20-mile distance in rural areas. Under this measure, an estimated 16.5 million people, or 5.3 percent of the U.S. population, have low access to a supermarket; andA slightly more complex measure incorporates vehicle access directly into the measure, delineating low-income tracts in which a significant number of households are located far from a supermarket and do not have access to a vehicle. This measure also includes census tracts with populations that are so remote, that, even with a vehicle, driving to a supermarket may be considered a burden due to the great distance. Using this measure, an estimated 2.1 million households, or 1.8 percent of all households, in low-income census tracts are far from a supermarket and do not have a vehicle. An additional 0.3 million people are more than 20 miles from a supermarket.For each of the first three measures that are based solely on distance, a tract is designated as low access if the aggregate number of people in the census tract with low access is at least 500 or the percentage of people in the census tract with low access is at least 33 percent. For the final measure using vehicle availability, a tract is designated as having low vehicle access if at least one of the following is true:at least 100 households are more than ½ mile from the nearest supermarket and have no access to a vehicle; orat least 500 people or 33 percent of the population live more than 20 miles from the nearest supermarket, regardless of vehicle access.Methods used to assess distance to the nearest supermarket are the same for each of these measures. First, the entire country is divided into ½-km square grids, and data on the population are aerially allocated to these grids (see Access to Affordable and Nutritious Food: Updated Estimates of Distance to Supermarkets Using 2010 Data). Then, distance to the nearest supermarket is measured for each grid cell by calculating the distance between the geographic center of the ½-km square grid that contains estimates of the population (number of people and other subgroup characteristics) and the center of the grid with the nearest supermarket. Once the distance to the nearest supermarket is calculated for each grid cell, the estimated number of people or housing units that are more than 1 mile from a supermarket in urban tracts, or 10 miles in rural census tracts, is aggregated at the census-tract level (and similarly for the alternative distance markers). A census tract is considered rural if the population-weighted centroid of that tract is located in an area with a population of less than 2,500; all other tracts are considered urban tracts.Food desertsThe Food Access Research Atlas maps census tracts that are both low income (li) and low access (la), as measured by the different distance demarcations. This tool provides researchers and other users multiple ways to understand the characteristics that can contribute to food deserts, including income level, distance to supermarkets, and vehicle access. Additional tract-level indicators of accessVehicle availabilityA tract is identified as having low vehicle availability if more than 100 households in the tract report having no vehicle available and are more than 0.5 miles from the nearest supermarket. This corresponds closely to the 80th percentile of the distribution of the number of housing units in a census tract without vehicles at least 0.5 miles from a supermarket (the 80th percentile value was 106 housing units). This means that about 20 percent of all census tracts had more than 100 housing units that were 0.5 miles from a supermarket and without a vehicle. This indicator was applied to both urban and rural census tracts.Overall, 8.8 percent of all housing units in the United States do not have a vehicle, and 4.2 percent of all housing units are at least 0.5 mile from a store and without a vehicle. Vehicle availability is defined in the American Community Survey as the number of passenger cars, vans, or trucks with a capacity of 1-ton or less kept at the home and available for use by household members. The number of available vehicles includes those vehicles leased or rented for at least 1 month, as well as company, police, or government vehicles that are kept at home and available for non-business use.Whether a vehicle is available to a household for private use is an important additional indicator of access to healthy and affordable food. For households living far from a supermarket or large grocery store, access to a private vehicle may make accessing these retailers easier than relying on public or alternative means of transportation.Group quarters populationUsers may be interested in highlighting tracts with large shares of people living in group quarters. Group quarters are residential arrangements where an entity or organization owns and provides housing (and often services) for individuals residing in these buildings. This includes college dormitories, military quarters, correctional facilities, homeless shelters, residential treatment centers, and assisted living or skilled nursing facilities. These living arrangements frequently provide dining and food retail solely for their residents. While individuals living in these areas may appear to be far from a supermarket or grocery store, they may not truly experience difficulty accessing healthy and affordable food. Tracts in which 67 percent of individuals or more live in group quarters are highlighted.General tract characteristicsPopulation, tract totalGeographic level: census tractYear of data: 2010Definition: Total number of individuals residing in a tract.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States.Low-income tractGeographic level: census tractYear of data: 2010Definition: A tract with either a poverty rate of 20 percent or more, or a median family income less than 80 percent of the State-wide median family income; or a tract in a metropolitan area with a median family income less than 80 percent of the surrounding metropolitan area median family income.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Income data are reported at the block-group level from the 2006-10 American Community Survey.Urban/rural statusGeographic level: census tractYear of data: 2010Definition: This variable indicates whether the population-weighted centroid of a census tract is in an urban or rural area. Urban and rural are defined in the Census Bureau's urbanized area definitions, where rural areas are sparsely populated areas with fewer than 2,500 people, and urban areas are areas with more than 2,500 people. A census tract is urban if the geographic centroid of the tract is in an area with more than 2,500 people; all other tracts are rural.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States.Housing units, tract totalGeographic level: census tractYear of data: 2010Definition: Total number of housing units in the census tract.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Data on housing units are drawn at the block-group level from the 2006-10 American Community Survey. These data were first allocated to blocks, and then aerially allocated down to ½-kilometer-square grids across the United States.Low access and distance measuresLow income and low access measured at 1 mile and 10 milesGeographic level: census tractYear of data: 2010Definition: A low-income tract with at least 500 people or 33 percent of the population living more than 1 mile (urban areas) or more than 10 miles (rural areas) from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low income and low access measured at ½ mile and 10 milesGeographic level: census tractYear of data: 2010Definition: A low-income tract with at least 500 people or 33 percent of the population living more than ½ mile (urban areas) or more than 10 miles (rural areas) from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low income and low access measured at 1 and 20 milesGeographic level: census tractYear of data: 2010Definition: A low-income tract with at least 500 people or 33 percent of the population living more than 1 mile (urban areas) or more than 20 miles (rural areas) from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low income and low access using vehicle accessGeographic level: census tractYear of data: 2010Definition: A low-income tract in which at least one of the following is true: at least 100 households are located more than ½ mile from the nearest supermarket and have no vehicle access; or at least 500 people or 33 percent of the population live more than 20 miles from the nearest supermarket, regardless of vehicle availability.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low-access tract at least ½ mileGeographic level: census tractYear of data: 2010Definition: An urban tract with at least 500 people or 33 percent of the population living at least ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low access, number of people at least ½ mileGeographic level: census tractYear of data: 2010Definition: Number of individuals in an urban tract living at least ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level.Low access, share of people at least ½ mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in an urban tract living at least ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than ½ mile from a supermarket.Low-access tract at least 1 mileGeographic level: census tractYear of data: 2010Definition: An urban tract with at least 500 people or 33 percent of the population living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low access, number of people at least 1 mileGeographic level: census tractYear of data: 2010Definition: Number of individuals in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level.Low access, share of people at least 1 mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than 1 mile from a supermarket.Low-access tract at least 10 milesGeographic level: census tractYear of data: 2010Definition: A rural tract with at least 500 people or 33 percent of the population living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low access, number of people at least 10 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level.Low access, share of people at least 10 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than 10 miles from a supermarket.Low-access tract at least 20 milesGeographic level: census tractYear of data: 2010Definition: A rural tract with at least 500 people or 33 percent of the population living at least 20 miles from the nearest supermarket, supercenter or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition.Low access, number of people at least 20 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level.Low access, share of people at least 20 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than 20 miles from a supermarket.Vehicle availabilityNo vehicle, tract with high number of housing unitsGeographic level: census tractYear of data: 2010Definition: A tract in which at least 100 housing units have no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Vehicle access data were provided at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States.No vehicle, number of housing unitsGeographic level: census tractYear of data: 2010Definition: Total number of housing units in a tract reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Data on housing units are drawn at the block-group level from the 2006-10 American Community Survey. These data were first allocated to blocks and then aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less.No vehicle, share of housing unitsGeographic level: census tractYear of data: 2010Definition: Percentage of housing units in a tract reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Data on housing units are drawn at the block-group level from the 2006-10 American Community Survey. These data were first allocated to blocks and then aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less.No vehicle, low access, number of housing units at least ½ mileGeographic level: census tractYear of data: 2010Definition: Number of housing units in an urban tract located at least ½ mile from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than ½ mile from a supermarket or large grocery store was aggregated to the tract level.No vehicle, low access, share of housing units at least ½ mileGeographic level: census tractYear of data: 2010Definition: Percentage of housing units in an urban tract located at least ½ mile from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than ½ mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of housing units in the tract.No vehicle, low access, number of housing units at least 1 mileGeographic level: census tractYear of data: 2010Definition: Number of housing units in an urban tract located at least 1 mile from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 1 mile from a supermarket or large grocery store was aggregated to the tract level.No vehicle, low access, share of housing units at least 1 mileGeographic level: census tractYear of data: 2010Definition: Percentage of housing units in an urban tract located at least 1 mile from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 1 mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of housing units in the tract.No vehicle, low access, number of housing units at least 10 milesGeographic level: census tractYear of data: 2010Definition: Number of housing units in a rural tract located at least 10 miles from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 10 miles from a supermarket or large grocery store was aggregated to the tract level.No vehicle, low access, share of housing units at least 10 milesGeographic level: census tractYear of data: 2010Definition: Percentage of housing units in a rural tract located at least 10 miles from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 10 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of housing units in the tract.No vehicle, low access, number of housing units at least 20 milesGeographic level: census tractYear of data: 2010Definition: Number of housing units in a rural tract located at least 20 miles from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 20 miles from a supermarket or large grocery store was aggregated to the tract level.No vehicle, low access, share of housing units at least 20 milesGeographic level: census tractYear of data: 2010Definition: Percentage of housing units in a rural tract located at least 20 miles from the nearest supermarket, supercenter, or large grocery store and reporting no access to a vehicle.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Vehicle access was measured from a question in the American Community Survey about whether the household has access to a car, truck, or van of 1-ton capacity or less. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of housing units without access to a vehicle and located more than 20 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of housing units in the tract.Group quartersGroup quarters, tract with high percentage of populationGeographic level: census tractYear of data: 2010Definition: A tract in which at least 67 percent of the population live in group quarters such as dormitories, military bases, assisted living or skilled nursing facilities, and other large institutions.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. Population data are reported at the block level from the 2010 Census of Population and Housing. Low-income and low-access measuresLow income, low access, number of people at least ½ mileGeographic level: census tractYear of data: 2010Definition: Number of individuals in an urban tract with low income and living more than ½ mile from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level.Low income, low access, share of people at least ½ mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in an urban tract with low income and living more than ½ mile from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than ½ mile from a supermarket.Low income, low access, number of people at least 1 mileGeographic level: census tractYear of data: 2010Definition: Number of individuals in an urban tract with low income and living more than 1 mile from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 20006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level.Low income, low access, share of people at least 1 mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in an urban tract with low income and living more than 1 mile from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than 1 mile from a supermarket.Low income, low access, number of people at least 10 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals in a rural tract with low income and living more than 10 miles from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level.Low income, low access, share of people at least 10 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in a rural tract with low income and living more than 10 miles from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the tract that resided more than 10 miles from a supermarket.Low income, low access, number of people at least 20 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals in a rural tract with low income and living more than 20 miles from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level.Low income, low access, share of people at least 20 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals in a rural tract with low income and living more than 20 miles from the nearest supermarket, supercenter, or large grocery store. Low income is defined as annual family income at or below 200 percent of the Federal poverty threshold for family size.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. Income data are reported at the block-group level from the 2006-10 American Community Survey. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals in the tract to obtain the percent of the total population in the county that resided more than 20 miles from a supermarket.Low access and population subgroupsChildren, low access, number at least ½ mileGeographic level: census tractYear of data: 2010Definition: Number of individuals age 0-17 in an urban tract living more than ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level.Children, low access, share at least ½ mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 0-17 in an urban tract living more than ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 0-17 in the tract to obtain the percent of the total population age 0-17 in the tract that resided more than ½ mile from a supermarket.Seniors, low access, number at least ½ mileGeographic level: census tractYear of data: 2010Definition: Number of individuals age 65+ in an urban tract living more than ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level.Seniors, low access, share at least ½ mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 65+ in an urban tract living more than ½ mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than ½ mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 65+ in the tract to obtain the percent of the total population age 65+ in the tract that resided more than ½ mile from a supermarket.Children, low access, number at least 1 mileGeographic level: census tractYear of data: 2010Definition: Number of individuals age 0-17 in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level.Children, low access, share at least 1 mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 0-17 in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 0-17 in the tract to obtain the percent of the total population age 0-17 in the tract that resided more than 1 mile from a supermarket.Seniors, low access, number at least 1 mileGeographic level: census tractYear of data: 2010Definition: Number of individuals age 65+ in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level.Seniors, low access, share at least 1 mileGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 65+ in an urban tract living at least 1 mile from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 1 mile from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 65+ in the tract to obtain the percent of the total population age 65+ in the tract that resided more than 1 mile from a supermarket.Children, low access, number at least 10 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals age 0-17 in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level.Children, low access, share at least 10 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 0-17 in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 0-17 in the tract to obtain the percent of the total population age 0-17 in the tract that resided more than 10 miles from a supermarket.Seniors, low access, number at least 10 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals age 65+ in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level.Seniors, low access, share at least 10 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 65+ in a rural tract living at least 10 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 10 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 65+ in the tract to obtain the percent of the total population age 65+ in the tract that resided more than 10 miles from a supermarket.Children, low access, number at least 20 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals age 0-17 in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level.Children, low access, share at least 20 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 0-17 in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 0-17 living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 0-17 in the tract to obtain the percent of the total population age 0-17 in the tract that resided more than 20 miles from a supermarket.Seniors, low access, number at least 20 milesGeographic level: census tractYear of data: 2010Definition: Number of individuals age 65+ in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level.Seniors, low access, share at least 20 milesGeographic level: census tractYear of data: 2010Definition: Percentage of individuals age 65+ in a rural tract living at least 20 miles from the nearest supermarket, supercenter, or large grocery store.Data sources: Data are from the 2012 report, Access to Affordable and Nutritious Food: Updated Estimates of Distances to Supermarkets Using 2010 Data. In this report, a directory of supermarkets, supercenters, and large grocery stores within the United States, including Alaska and Hawaii, was derived from merging the 2010 STARS directory of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP) benefits and the 2010 Trade Dimensions TDLinx directory of stores. Stores met the definition of a supermarket or large grocery store if they reported at least $2 million in annual sales and contained all the major food departments found in a traditional supermarket, including fresh produce, fresh meat and poultry, dairy, dry and packaged foods, and frozen foods. The combined list of supermarkets and large grocery stores was converted into a GIS-usable format by geocoding the street address into store-point locations. Population data are reported at the block level from the 2010 Census of Population and Housing. These data were aerially allocated down to ½-kilometer-square grids across the United States. For each ½-kilometer-square grid cell, the distance was calculated from its geographic center to the center of the grid cell with the nearest supermarket. Rural or urban status is designated by the Census Bureau’s urban area definition. Once distance to the nearest supermarket or large grocery store was calculated for each grid cell, the number of individuals age 65+ living more than 20 miles from a supermarket or large grocery store was aggregated to the tract level and then divided by the total number of individuals age 65+ in the tract to obtain the percent of the total population age 65+ in the tract that resided more than 20 miles from a supermarket.Data sourcesPopulation data, including age and residence in group quarters, are from the 2010 Census of the Population and downloaded at the census-block level before being allocated to ½-kilometer-square grid cells. Urban or rural designation was also provided by the 2010 Census at the block level. Data on income and vehicle availability are from the 2006-10 American Community Survey and were downloaded at the block-group level for assignment to ½-kilometer-square grid cells.Two 2010 lists of supermarkets, supercenters, and large grocery stores (food stores selling all major categories of food and having annual sales of at least $2 million) were combined to produce a comprehensive list of stores that represent sources of affordable and nutritious food. One store list contains stores authorized to receive Supplemental Nutrition Assistance Program (SNAP) benefits. The second list is from Trade Dimensions TDLinx (a Nielsen company), a proprietary source of individual supermarket store listings. Details on these data sources can be found in the report Access to Affordable and Nutritious Food: Updated Estimates of Distance to Supermarkets Using 2010 Data.Changes in methods between 2006 and 2010Methods used to estimate low-income and low-access census tracts in 2010 are largely the same as methods used in previous estimates. There are however, two notable differences. First, the 2010 analysis uses ½-kilometer-square grids to estimate distances from supermarkets, whereas the previous analysis used 1-kilometer-square grids. The ½-kilometer-square grids are likely to give better estimates of distance to supermarkets; however, this could mean that the estimated distance to stores for some grids changes, even though no change occurred in the location of the nearest store or in the income or location of the population. It is expected that the greater precision of the ½-kilometer-square grids will have a small net impact on estimates of distance to the nearest store.Second, a new method for designating whether a census tract is urban or rural is used. In the previous analysis, census tracts were designated as urban if the geographic centroid of the tract was in an urban area or urban cluster according to Census Bureau definitions. All other tracts were considered rural. The 1-mile demarcation was used to indicate low access for tracts with a centroid in an urban area, and the 10-mile demarcation was used for tracts with a centroid in rural areas. This meant that, for parts of some tracts containing both urban and rural sections, a 1-mile marker was used to assess low food store access if the geographic centroid of the tract was urban even though part of the tract was rural (and vice versa—if the centroid was in the rural part of the tract, the 10-mile marker was used).For the 2010 analysis, the population-weighted centroid was used to designate a census tract as urban or rural. This should improve estimates of low-access tracts in areas with rural and urban overlap because it more accurately applies the urban 1-mile marker to urban areas and the 10-mile marker to rural areas. However, this change likely results in changes in the food desert status of some census tracts. Comparisons of 2006 and 2010 food-desert census tract estimatesComparisons of the number of food-desert census tracts in 2010 to previous estimates from 2006 data are tenuous. First, the updated analysis uses 2010 census-tract geography, while 2006 estimates used 2000 census-tract geography. There were a total of 64,909 census tracts in the continental United States in 2000 and 72,365 tracts in 2010, reflecting the overall growth in the U.S. population between 2000 and 2010. Thus, more tracts are eligible to be food-desert tracts in 2010 than in the previous analysis.Second, to be considered a food desert, a tract must be a low-income census tract. Previously, data from the 2000 Decennial Census were used to estimate low-income census tracts. Since 2000, incomes have been stagnant or falling (see Income, poverty, and health insurance coverage in the United States: 2011), which means that more people are poor, and consequently, more census tracts are likely to be low-income. Finally, some of the changes in the food desert status of a census tract may also result from changes in the methods used to estimate distance from supermarkets for the population and in the methods used to decide whether a census tract is rural or urban. To see how the number of food deserts has changed, ERS used 2000 Census data and 2006 store data to estimate the number of low-access, low-income food-desert tracts based on 2010 census-tract boundaries and the definition of food deserts used in the original Food Desert Locator. By using the same geography and the same definitions, this analysis estimates the differences between 2006 and 2010 in the effect of income and store access on the number and percentage of food-desert census tracts. Using a tract relationship file from the Census Bureau, ERS was able to match tracts based on 2000-defined boundaries to tracts based on 2010-defined boundaries. The relationship file also allowed ERS to estimate the portion of the 2010 tract population that would be attributed to the 2000 tracts if the old boundaries were still in use. Tracts based on 2000 boundaries may correspond with tracts based on 2010 boundaries in four different ways:a 2010 tract may share the exact same boundaries as the 2000 tract;a 2000 tract may split into two or more tracts, with part of the 2000 tract becoming all or a portion of one 2010 tract, while other part(s) of the same 2000 tract become all or a portion of other 2010 tracts;a 2000 tract may merge with another 2000 tract to create a single 2010 tract; ora 2000 tract may be revised so that the 2010 tract consists of the entire 2000 tract, as well as a small portion(s) of another 2000 tract(s).For more information, see Understanding the 2010 Census Tract Relationship Files.To estimate a tract’s low-income status based on the 2000 Census population data but using the 2010 tract boundaries required ERS to make certain assumptions. For 2010 tracts that retained their 2000 boundaries, the income status of the tract using 2000 Census data and 2010 geographic boundaries was assumed to be the same as it was using 2000 Census data and 2000 boundaries.In the case of a single 2010 tract comprised of multiple 2000 tracts, in part or in whole, the 2010 geographic unit was assigned low-income status based on the portion of the population in the resulting 2010 tract that came from a 2000 low-income tract. For example, if one 2010 tract consisted of all or part of three 2000 tracts, none of which was low -income, the 2010 tract was also assigned as not low income. On the other hand, if all 2000 tracts were low income, then the 2010 tract was also assigned as low income.In a more complicated case where a 2010 tract consisted of all or part of three 2000 tracts, and at least one but not all three 2000 tracts was low income, the 2010 tract was assigned as low income only if more than 50 percent of the population in the 2010 tract boundaries was derived from 2000 low-income tracts. In this manner, low-income tracts were identified based on 2000 Census data but using 2010 geographical boundaries.ERS then estimated the number of 2010 census tracts that were food deserts based on 2000 population and income data and 2006 store location data. The methods used in the 2010 updated estimates of food-desert census tracts were applied (essentially, the population-weighted centroid was used to determine a tract’s rural or urban status instead of the geometric centroid). This was done only for the measure of food deserts based on 1- and 10-mile demarcations. Furthermore, since the 2006 estimates did not include Alaska and Hawaii, ERS compared the number of food deserts using 2006 data but 2010 definitions with the estimates of food deserts for the continental United States separately from those estimates that included Alaska and Hawaii.Decomposition resultsThe rows in the table show the components of the food desert definition and different combinations of those components:1) the number of low-access census tracts;2) the number of low-income census tracts;3) the number of low-access tracts that are not low income;4) the number of low-income tracts that are not low access; and5) the number of census tracts that are both low income and low access (food deserts).Column 1 shows estimates of these five elements using data from 2000 and 2006, while Column 2 shows estimates using data from 2010.Overall, the number of food-desert census tracts increased from 2006 to 2010. However, most of this increase is due to the increase in the number of low-income census tracts from 26,099 to 29,134. The number of low-access tracts grew also from 27,776 to 28,328, but this was not as big of an increase as the number of low-income tracts. Source: USDA, Atlanta Regional Commission
Description: This shapefile was developed by the Atlanta Regional Commission Research & Analytics Division. Name: Urbanized_Area_2000 Source: U.S. Census Bureau Date: 2000 Extent: 20 Counties Feature: Polygon Scale: 1:100,000 Description: This Layer represents the current Urbanized Area for Atlanta as defined by the U.S. Census Bureau. An Urbanized Area is a concept used by the U.S. Census Bureau to measure the population, land area and population density of a built-up or continuously developed area, which in most cases extends outside of the political boundaries of the core city. Based on core census block groups or blocks, UA boundaries are delineated to encompass densely settled areas which have a population density of at least 1,000 people per square mile and surrounding areas that have an overall density of at least 500 people per square mile. The Urbanized_Area_1990 Layer located on this CD represents the previous Urbanized Area for Atlanta. Attributes: COUNTY State and county FIPS code UACODE Urbanized Area code (Note that three excluded polygons were "Added" by ARC) NAME Common name of urbanized area For additional information, please contact Paul DiGirolamo at 404-463-3520 or pdigirolamo@atlantaregional.com
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 1 Families: Median Income Family with 4 Members, including 2 Commuters. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 2 Families: Very Low Income Individual with 1 Member, Including 1 Commuter. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 3 Family: Working Individual Earning 50% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 4 Family: Single Professional Earning 135% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 5 Family: Retired Couple Earning 80% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 6 Family: Single Parent Family with 3 Members, Including 1 Commuter Earning 50% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 7 Family: Moderate Income Family with 3 Members, Including 1 Commuter Earning 80% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show the affordability of housing and transportation costs, as a percentage of income, for: Type 8 Family: Dual Professional Family with 4 Members, Including 2 Commuters Earning 150% of Median Region Income. Measures: Housing and Transportation Costs as Percent of Income. Housing Costs as Percent of Income. Transportation Costs as Percent of Income. Annual Vehicle Miles Traveled. Annual Transit Trips. Source: American Community Survey, Atlanta Regional Commission. Date Accessed: May 2015
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from ARC's Regional Plan Update to represent employment forecasts by census tract for the Atlanta region.Attributes:GEOID10 = The entire Federal Information Processing Series (FIPS) code for this geography. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.STATEFP10 = State IDCOUNTYFP10 = County IDTRACTCE10 = Census tract numberCounty NameAcres LandAcres WaterAcres TotalSquare Miles LandSquare Miles WaterSquare Miles TotalTotal Jobs 2015Total Agriculture, Forestry, Fishing jobs 2015Total Mining Extraction jobs 2015Total Utilities jobs 2015Total Construction jobs 2015Total Manufacturing jobs 2015Total Wholesale Trade jobs 2015Total Retail jobs 2015Total Transportation/Warehousing jobs 2015Total Information jobs 2015Total Finance & Insurance jobs 2015Total Real Estate jobs 2015Total Professional, Science, Technical jobs 2015Total Management of Companies jobs 2015Total Administrative Support/Waste jobs 2015Total Education jobs 2015Total Health Care/Social Assistance jobs 2015Total Arts/Entertainment jobs 2015Total Accommodation/Food jobs 2015Total Other Services jobs 2015Total Public Administration jobs 2015Percent Agriculture, Forestry, Fishing jobs 2015Percent Mining Extraction jobs 2015Percent Utilities jobs 2015Percent Construction jobs 2015Percent Manufacturing jobs 2015Percent Wholesale Trade jobs 2015Percent Retail jobs 2015Percent Transportation/Warehousing jobs 2015Percent Information jobs 2015Percent Finance & Insurance jobs 2015Percent Real Estate jobs 2015Percent Professional, Science, Technical jobs 2015Percent Management of Companies jobs 2015Percent Administrative Support/Waste jobs 2015Percent Education jobs 2015Percent Health Care/Social Assistance jobs 2015Percent Arts/Entertainment jobs 2015Percent Accommodation/Food jobs 2015Percent Other Services jobs 2015Percent Public Administration jobs 2015Total Jobs 2040Total Agriculture, Forestry, Fishing jobs 2040Total Mining Extraction jobs 2040Total Utilities jobs 2040Total Construction jobs 2040Total Manufacturing jobs 2040Total Wholesale Trade jobs 2040Total Retail jobs 2040Total Transportation/Warehousing jobs 2040Total Information jobs 2040Total Finance & Insurance jobs 2040Total Real Estate jobs 2040Total Professional, Science, Technical jobs 2040Total Management of Companies jobs 2040Total Administrative Support/Waste jobs 2040Total Education jobs 2040Total Health Care/Social Assistance jobs 2040Total Arts/Entertainment jobs 2040Total Accommodation/Food jobs 2040Total Other Services jobs 2040Total Public Administration jobs 2040Percent Agriculture, Forestry, Fishing jobs 2040Percent Mining Extraction jobs 2040Percent Utilities jobs 2040Percent Construction jobs 2040Percent Manufacturing jobs 2040Percent Wholesale Trade jobs 2040Percent Retail jobs 2040Percent Transportation/Warehousing jobs 2040Percent Information jobs 2040Percent Finance & Insurance jobs 2040Percent Real Estate jobs 2040Percent Professional, Science, Technical jobs 2040Percent Management of Companies jobs 2040Percent Administrative Support/Waste jobs 2040Percent Education jobs 2040Percent Health Care/Social Assistance jobs 2040Percent Arts/Entertainment jobs 2040Percent Accommodation/Food jobs 2040Percent Other Services jobs 2040Percent Public Administration jobs 2040For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.Source: Atlanta Regional CommissionDate: 2016
Description: This shapefile was developed by the Atlanta Regional Commission Research Division, as part of the Atlanta Region Information System (ARIS). Name: ESO Source: The Atlanta Regional Commission Date: 2006, 2012 (Perimeter only) Extent: < 10 Counties (Fulton, DeKalb, Cobb and Clayton) Feature: Polygon Scale: 1:24,000 Description: This Layer was created by ARC's Transportation Demand Management (TDM) Division to represent the 9 activity centers with dedicated organizations that provide transportation services to member employers. These Employer Service Organizations (ESOs) focus on providing services to increase accessibility and mobility, and to reduce traffic congestion and improve air quality in their service areas. Within the Atlanta Region, ESOs work with ARC's TDM Division to match commuters with potential carpool and vanpool partners using the 1-87-RIDEFIND database. With the most recent addition of Atlantic Station, there are currently 10 ESOs in the Atlanta Region, plus The Clean Air Campaign that covers all areas outside the activity centers shown here. For more information, go to www.187ridefind.com/employer.html. Attributes: NAME Name of ESO For additional information, please contact Paul DiGirolamo at 404-463-3520 or pdigirolamo@atlantaregional.com
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission to represent the population forecasts by census tract for the Atlanta region.Attributes:GEOID10 = A concatenation of STATEFP10, COUNTYFP10, and TRACTCE10 resulting in the entire FIPS code for this geography. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.STATEFP10 = The state FIPS code for GeorgiaCOUNTYFP10 = The county FIPS codeTRACTCE10 = The tract FIPS codeCOUNTY_NM = County namePLNG_REGIO = ARC planning regionAcres LandAcres WaterAcres TotalSqMi_Land = Land area in square milesSqMi_WaterSqMi_TotalSD10 = Super District codeSD_Name = Super District nameHouseholds, 2015 = Total number of households forecasted for 2015Population, 2015 = Total population forecated for 2015Households, 2020 = Total number of households forecasted for 2020Population, 2020 = Total population forecasted for 2020Households, 2025 = Total number of households forecasted for 2025Population, 2025 = Total population forecasted for 2025Households 2030 = Total number of households forecasted for 2030Population, 2030 = Total population forecasted for 2030Households, 2035 = Total number of households forecasted for 2035Population, 2035 = Total population forecasted for 2035Households, 2040 = Total number of households forecasted for 2040Population, 2040 = Total population forecasted for 2040Density, Population per Square Mile = Population per square mile in 2015Density, Population per Square Mile 1 = Forecasted Population per square mile in 2040Population Change, 2015-2040 = Forecasted population change between 2015 and 2040Household Change, 2015-2040 = Forecasted change in the number of households between 2015 and 2040Population Change per Square Mile, 2015-2040 = Forecasted population change per square mile between 2015 and 2040Source = Atlanta Regional CommissionDate = 2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com
Description: This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau's American Community Survey to show income by amount and percentages by census tract in the Atlanta region.Measures:Total HouseholdsHousehold Income Less Than $35,000Percent Household Income Less Than $35,000Household Income $35,000 to $74,999Percent Household Income $35,000 to $74,999Household Income $75,000 to $200,000Percent Household Income $75,000 to $200,000Household Income $200,000 or MorePercent Household Income $200,000 or MorePer Capita IncomeSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2008-2012
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeInteger, alias: Grandparents living with own grandchildren under 18 years, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Pop_3yrsOlder_Enrolld_in_School
(
type: esriFieldTypeInteger, alias: Population 3 years and over enrolled in school, editable: true, nullable: true, defaultValue: null, modelName: Pop_3yrsOlder_Enrolld_in_School
)
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: % Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Population Under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: % Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Population 18 to 64 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: % Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Population 65 years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: % Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
USnative_Born_in_US
(
type: esriFieldTypeInteger, alias: U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: % U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_State_Resid
(
type: esriFieldTypeInteger, alias: U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: % U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
US_Native_Born_Diff_State
(
type: esriFieldTypeInteger, alias: U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: % U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
Worked_at_home
(
type: esriFieldTypeInteger, alias: Worked at home, editable: true, nullable: true, defaultValue: null, modelName: Worked_at_home
)
Percent_Worked_at_home
(
type: esriFieldTypeDouble, alias: % Worked at home, editable: true, nullable: true, defaultValue: null, modelName: Percent_Worked_at_home
)
Mean_Travel_Time_to_Work_min
(
type: esriFieldTypeDouble, alias: Mean travel time to work (minutes), editable: true, nullable: true, defaultValue: null, modelName: Mean_Travel_Time_to_Work_min
)
Pop_wHealth_Insurance
(
type: esriFieldTypeInteger, alias: Civilian noninstituionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: % Civilian noninstituionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeInteger, alias: Civilian noninstituionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: % Civilian noninstituionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Population_with_public_coverage
(
type: esriFieldTypeInteger, alias: Civilian noninstituionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Population_with_public_coverage
)
Pct_Pop_wPub_Health_Ins
(
type: esriFieldTypeDouble, alias: % Civilian noninstituionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPub_Health_Ins
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Civilian noninstituionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: % Civilian noninstituionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: % Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Civilian nononstituionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: % Civilian nononstituionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeInteger, alias: Civilian nononstituionalized ages 18 to 64, not in labor force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeInteger, alias: Civilian nononstituionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: % Civilian nononstituionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Pop_PovertyStatus_Determined
(
type: esriFieldTypeInteger, alias: Population for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Population_in_poverty
(
type: esriFieldTypeInteger, alias: Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Population_in_poverty
)
Percent_Population_in_poverty
(
type: esriFieldTypeDouble, alias: % Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Percent_Population_in_poverty
)
Pop_under18_PovStatus_Determine
(
type: esriFieldTypeInteger, alias: Population under 18 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatus_Determine
)
Pop_under18_inPoverty
(
type: esriFieldTypeInteger, alias: Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_inPoverty
)
Pct_Pop_u18_in_Poverty
(
type: esriFieldTypeDouble, alias: % Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_in_Poverty
)
Pop_18_64_PovStatus_Determ
(
type: esriFieldTypeInteger, alias: Population 18 to 64 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determ
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeInteger, alias: Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_inPoverty
(
type: esriFieldTypeDouble, alias: % Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_inPoverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeInteger, alias: Population 65 years and over for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeInteger, alias: Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_inPoverty
(
type: esriFieldTypeDouble, alias: % Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_inPoverty
)
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeInteger, alias: Housing units for which Selected Monthly Owner Costs as a percentage of household income are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeInteger, alias: Selected Monthly Owner Costs (SMOCAPI) 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: % Selected Monthly Owner Costs (SMOCAPI) 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeInteger, alias: Housing units for which Gross rent as a percentage of income is computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeInteger, alias: Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: % Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeInteger, alias: Housing units for SMOCAPI or GRAPI are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeInteger, alias: Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: % Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
City
(
type: esriFieldTypeString, alias: City, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: City
)
State
(
type: esriFieldTypeString, alias: State, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: State
)
Teeth
(
type: esriFieldTypeDouble, alias: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: Teeth
)
Arth
(
type: esriFieldTypeDouble, alias: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Arth
)
BingeD
(
type: esriFieldTypeDouble, alias: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: BingeD
)
Cancer
(
type: esriFieldTypeDouble, alias: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Cancer
)
Kidney
(
type: esriFieldTypeDouble, alias: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Kidney
)
COPD
(
type: esriFieldTypeDouble, alias: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: COPD
)
Heart
(
type: esriFieldTypeDouble, alias: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Heart
)
Asthma
(
type: esriFieldTypeDouble, alias: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Asthma
)
LackIns
(
type: esriFieldTypeDouble, alias: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: LackIns
)
Smoke
(
type: esriFieldTypeDouble, alias: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Smoke
)
Diab
(
type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Diab
)
MamTest
(
type: esriFieldTypeDouble, alias: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: MamTest
)
Mental
(
type: esriFieldTypeDouble, alias: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Mental
)
NoLes
(
type: esriFieldTypeDouble, alias: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: NoLes
)
Obese
(
type: esriFieldTypeDouble, alias: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Obese
)
MPrev
(
type: esriFieldTypeDouble, alias: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: MPrev
)
Fprev
(
type: esriFieldTypeDouble, alias: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: Fprev
)
Pap
(
type: esriFieldTypeDouble, alias: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: Pap
)
Health
(
type: esriFieldTypeDouble, alias: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Health
)
Sleep
(
type: esriFieldTypeDouble, alias: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Sleep
)
Stroke
(
type: esriFieldTypeDouble, alias: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Stroke
)
Vdent
(
type: esriFieldTypeDouble, alias: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdent
)
Vdoc
(
type: esriFieldTypeDouble, alias: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdoc
)
RTeeth
(
type: esriFieldTypeInteger, alias: RANK: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: RTeeth
)
RArth
(
type: esriFieldTypeInteger, alias: RANK: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RArth
)
RBingeD
(
type: esriFieldTypeInteger, alias: RANK: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RBingeD
)
RCancer
(
type: esriFieldTypeInteger, alias: RANK: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RCancer
)
RKidney
(
type: esriFieldTypeInteger, alias: RANK: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RKidney
)
RCOPD
(
type: esriFieldTypeInteger, alias: RANK: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RCOPD
)
RHeart
(
type: esriFieldTypeInteger, alias: RANK: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RHeart
)
RAsthma
(
type: esriFieldTypeInteger, alias: RANK: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RAsthma
)
RLackIns
(
type: esriFieldTypeInteger, alias: RANK: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: RLackIns
)
RSmoke
(
type: esriFieldTypeInteger, alias: RANK: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RSmoke
)
RDiab
(
type: esriFieldTypeInteger, alias: RANK: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RDiab
)
RMamTest
(
type: esriFieldTypeInteger, alias: RANK: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: RMamTest
)
RMental
(
type: esriFieldTypeInteger, alias: RANK: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RMental
)
RNoLes
(
type: esriFieldTypeInteger, alias: RANK: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RNoLes
)
RObese
(
type: esriFieldTypeInteger, alias: RANK: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RObese
)
RMPrev
(
type: esriFieldTypeInteger, alias: RANK: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: RMPrev
)
RFprev
(
type: esriFieldTypeInteger, alias: RANK: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: RFprev
)
RPap
(
type: esriFieldTypeInteger, alias: RANK: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: RPap
)
RHealth
(
type: esriFieldTypeInteger, alias: RANK: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RHealth
)
Rsleep
(
type: esriFieldTypeInteger, alias: RANK: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Rsleep
)
RStroke
(
type: esriFieldTypeInteger, alias: RANK: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RStroke
)
RVdent
(
type: esriFieldTypeInteger, alias: RANK: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RVdent
)
RVdoc
(
type: esriFieldTypeInteger, alias: RANK: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RVdoc
)
City
(
type: esriFieldTypeString, alias: City, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: City
)
State
(
type: esriFieldTypeString, alias: State, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: State
)
Teeth
(
type: esriFieldTypeDouble, alias: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: Teeth
)
Arth
(
type: esriFieldTypeDouble, alias: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Arth
)
BingeD
(
type: esriFieldTypeDouble, alias: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: BingeD
)
Cancer
(
type: esriFieldTypeDouble, alias: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Cancer
)
Kidney
(
type: esriFieldTypeDouble, alias: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Kidney
)
COPD
(
type: esriFieldTypeDouble, alias: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: COPD
)
Heart
(
type: esriFieldTypeDouble, alias: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Heart
)
Asthma
(
type: esriFieldTypeDouble, alias: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Asthma
)
LackIns
(
type: esriFieldTypeDouble, alias: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: LackIns
)
Smoke
(
type: esriFieldTypeDouble, alias: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Smoke
)
Diab
(
type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Diab
)
MamTest
(
type: esriFieldTypeDouble, alias: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: MamTest
)
Mental
(
type: esriFieldTypeDouble, alias: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Mental
)
NoLes
(
type: esriFieldTypeDouble, alias: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: NoLes
)
Obese
(
type: esriFieldTypeDouble, alias: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Obese
)
MPrev
(
type: esriFieldTypeDouble, alias: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: MPrev
)
Fprev
(
type: esriFieldTypeDouble, alias: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: Fprev
)
Pap
(
type: esriFieldTypeDouble, alias: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: Pap
)
Health
(
type: esriFieldTypeDouble, alias: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Health
)
Sleep
(
type: esriFieldTypeDouble, alias: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Sleep
)
Stroke
(
type: esriFieldTypeDouble, alias: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Stroke
)
Vdent
(
type: esriFieldTypeDouble, alias: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdent
)
Vdoc
(
type: esriFieldTypeDouble, alias: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdoc
)
RTeeth
(
type: esriFieldTypeInteger, alias: RANK: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: RTeeth
)
RArth
(
type: esriFieldTypeInteger, alias: RANK: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RArth
)
RBingeD
(
type: esriFieldTypeInteger, alias: RANK: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RBingeD
)
RCancer
(
type: esriFieldTypeInteger, alias: RANK: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RCancer
)
RKidney
(
type: esriFieldTypeInteger, alias: RANK: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RKidney
)
RCOPD
(
type: esriFieldTypeInteger, alias: RANK: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RCOPD
)
RHeart
(
type: esriFieldTypeInteger, alias: RANK: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RHeart
)
RAsthma
(
type: esriFieldTypeInteger, alias: RANK: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RAsthma
)
RLackIns
(
type: esriFieldTypeInteger, alias: RANK: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: RLackIns
)
RSmoke
(
type: esriFieldTypeInteger, alias: RANK: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RSmoke
)
RDiab
(
type: esriFieldTypeInteger, alias: RANK: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RDiab
)
RMamTest
(
type: esriFieldTypeInteger, alias: RANK: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: RMamTest
)
RMental
(
type: esriFieldTypeInteger, alias: RANK: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RMental
)
RNoLes
(
type: esriFieldTypeInteger, alias: RANK: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RNoLes
)
RObese
(
type: esriFieldTypeInteger, alias: RANK: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RObese
)
RMPrev
(
type: esriFieldTypeInteger, alias: RANK: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: RMPrev
)
RFprev
(
type: esriFieldTypeInteger, alias: RANK: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: RFprev
)
RPap
(
type: esriFieldTypeInteger, alias: RANK: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: RPap
)
RHealth
(
type: esriFieldTypeInteger, alias: RANK: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RHealth
)
Rsleep
(
type: esriFieldTypeInteger, alias: RANK: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Rsleep
)
RStroke
(
type: esriFieldTypeInteger, alias: RANK: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RStroke
)
RVdent
(
type: esriFieldTypeInteger, alias: RANK: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RVdent
)
RVdoc
(
type: esriFieldTypeInteger, alias: RANK: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: RVdoc
)
Teeth
(
type: esriFieldTypeDouble, alias: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: Teeth
)
Arth
(
type: esriFieldTypeDouble, alias: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Arth
)
BingeD
(
type: esriFieldTypeDouble, alias: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: BingeD
)
Cancer
(
type: esriFieldTypeDouble, alias: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Cancer
)
Kidney
(
type: esriFieldTypeDouble, alias: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Kidney
)
COPD
(
type: esriFieldTypeDouble, alias: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: COPD
)
Heart
(
type: esriFieldTypeDouble, alias: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Heart
)
Asthma
(
type: esriFieldTypeDouble, alias: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Asthma
)
LackIns
(
type: esriFieldTypeDouble, alias: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: LackIns
)
Smoke
(
type: esriFieldTypeDouble, alias: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Smoke
)
Diab
(
type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Diab
)
MamTest
(
type: esriFieldTypeDouble, alias: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: MamTest
)
Mental
(
type: esriFieldTypeDouble, alias: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Mental
)
NoLes
(
type: esriFieldTypeDouble, alias: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: NoLes
)
Obese
(
type: esriFieldTypeDouble, alias: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Obese
)
MPrev
(
type: esriFieldTypeDouble, alias: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: MPrev
)
Fprev
(
type: esriFieldTypeDouble, alias: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: Fprev
)
Pap
(
type: esriFieldTypeDouble, alias: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: Pap
)
Health
(
type: esriFieldTypeDouble, alias: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Health
)
Sleep
(
type: esriFieldTypeDouble, alias: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Sleep
)
Stroke
(
type: esriFieldTypeDouble, alias: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Stroke
)
Vdent
(
type: esriFieldTypeDouble, alias: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdent
)
Vdoc
(
type: esriFieldTypeDouble, alias: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: Vdoc
)
PrnkTeet
(
type: esriFieldTypeDouble, alias: Percentile Rank: All teeth lost among adults (65 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkTeet
)
PrnkArth
(
type: esriFieldTypeDouble, alias: Percentile Rank: Arthritis among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkArth
)
PrnkBing
(
type: esriFieldTypeDouble, alias: Percentile Rank: Binge drinking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkBing
)
PrnkCanc
(
type: esriFieldTypeDouble, alias: Percentile Rank: Cancer (excluding skin cancer) among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkCanc
)
PrnkKidn
(
type: esriFieldTypeDouble, alias: Percentile Rank: Chronic kidney disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkKidn
)
PrnkCOPD
(
type: esriFieldTypeDouble, alias: Percentile Rank: Chronic obstructive pulmonary disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkCOPD
)
PrnkHear
(
type: esriFieldTypeDouble, alias: Percentile Rank: Coronary heart disease among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkHear
)
PrnkAsth
(
type: esriFieldTypeDouble, alias: Percentile Rank: Current asthma among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkAsth
)
PrnkLack
(
type: esriFieldTypeDouble, alias: Percentile Rank: Current lack of health insurance among adults (18–64 years), editable: true, nullable: true, defaultValue: null, modelName: PrnkLack
)
PrnkSmok
(
type: esriFieldTypeDouble, alias: Percentile Rank: Current smoking among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkSmok
)
PrnkDiab
(
type: esriFieldTypeDouble, alias: Percentile Rank: Diagnosed diabetes among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkDiab
)
PrnkMamT
(
type: esriFieldTypeDouble, alias: Percentile Rank: Mammography use among women (50–74 years), editable: true, nullable: true, defaultValue: null, modelName: PrnkMamT
)
PrnkMent
(
type: esriFieldTypeDouble, alias: Percentile Rank: Mental health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkMent
)
PrnkNoLe
(
type: esriFieldTypeDouble, alias: Percentile Rank: No leisure-time physical activity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkNoLe
)
PrnkObes
(
type: esriFieldTypeDouble, alias: Percentile Rank: Obesity among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkObes
)
PrnkMPre
(
type: esriFieldTypeDouble, alias: Percentile Rank: Older adult men (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, editable: true, nullable: true, defaultValue: null, modelName: PrnkMPre
)
PrnkFpre
(
type: esriFieldTypeDouble, alias: Percentile Rank: Older adult women (65 years and over) who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years, editable: true, nullable: true, defaultValue: null, modelName: PrnkFpre
)
PrnkPap
(
type: esriFieldTypeDouble, alias: Percentile Rank: Papanicolaou smear use among adult women (21–65 years), editable: true, nullable: true, defaultValue: null, modelName: PrnkPap
)
PrnkHeal
(
type: esriFieldTypeDouble, alias: Percentile Rank: Physical health not good for 14 or more days among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkHeal
)
PrnkSlee
(
type: esriFieldTypeDouble, alias: Percentile Rank: Sleeping less than 7 hours among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkSlee
)
PrnkStro
(
type: esriFieldTypeDouble, alias: Percentile Rank: Stroke among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkStro
)
PrnkVden
(
type: esriFieldTypeDouble, alias: Percentile Rank: Visits to dentist or dental clinic among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkVden
)
PrnkVdoc
(
type: esriFieldTypeDouble, alias: Percentile Rank: Visits to doctor for routine checkup within the past Year among adults (18 years and over), editable: true, nullable: true, defaultValue: null, modelName: PrnkVdoc
)
Pct_NotHisp_Other_2000
(
type: esriFieldTypeDouble, alias: Race/Ethnicity: % Not Hispanic, other (Native American, other race, two or more races), 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_NotHisp_Other_2000
)
Pct_NonHisp_Other_2016
(
type: esriFieldTypeDouble, alias: Race/Ethnicity: % Non-Hispanic other (Native American, other one race, two or more races), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_NonHisp_Other_2016
)
Pct_HH_wChildren_2016
(
type: esriFieldTypeDouble, alias: Household Composition: % Households with one or more people under 18 years, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_HH_wChildren_2016
)
Total_Population
(
type: esriFieldTypeInteger, alias: Total Population: # Total Population, 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population
)
Total_Population_MOE_2016
(
type: esriFieldTypeInteger, alias: Total Population: # Total population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population_MOE_2016
)
Num_3YrsOvr_Enrolled_School
(
type: esriFieldTypeInteger, alias: School Enrollment: # Population 3 years and over enrolled in school, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_3YrsOvr_Enrolled_School
)
Num_3YrsOvr_Enrolled_School_MOE
(
type: esriFieldTypeInteger, alias: School Enrollment: # Population 3 years and over enrolled in school (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_3YrsOvr_Enrolled_School_MOE
)
Pct_Kindergarten_MOE
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in Kindergarten (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Kindergarten_MOE
)
Num_Elem_school_grades_1_8
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in Elementary school (grades 1-8) , 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Elem_school_grades_1_8
)
Num_Elem_school_grades_1_8_MOE
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in Elementary school (grades 1-8) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Elem_school_grades_1_8_MOE
)
Pct_Elem_school_grades_1_8
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in Elementary school (grades 1-8) , 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Elem_school_grades_1_8
)
Pct_Elem_school_grades_1_8_MOE
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in Elementary school (grades 1-8) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Elem_school_grades_1_8_MOE
)
Num_High_school_grades_9_12
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in High school (grades 9-12) , 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_High_school_grades_9_12
)
Num_High_school_grades_9_12_MOE
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in High school (grades 9-12) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_High_school_grades_9_12_MOE
)
Pct_High_school_grades_9_12
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in High school (grades 9-12) , 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_High_school_grades_9_12
)
Pct_High_school_grades_9_12_MOE
(
type: esriFieldTypeInteger, alias: School Enrollment: % Enrolled in High school (grades 9-12) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_High_school_grades_9_12_MOE
)
Num_College_or_Grad_school
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in College or graduate school, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_College_or_Grad_school
)
Num_College_or_Grad_school_MOE
(
type: esriFieldTypeInteger, alias: School Enrollment: # Enrolled in College or graduate school (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_College_or_Grad_school_MOE
)
Pct_College_or_Grad_school
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in College or graduate school, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_College_or_Grad_school
)
Pct_College_or_Grad_school_MOE
(
type: esriFieldTypeDouble, alias: School Enrollment: % Enrolled in College or graduate school (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_College_or_Grad_school_MOE
)
Num_Less_than_HS_or_GED
(
type: esriFieldTypeInteger, alias: Educational Attainment: # Population 25 years and over, Less than HS graduate, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Less_than_HS_or_GED
)
Num_Less_than_HS_or_GED_MOE
(
type: esriFieldTypeInteger, alias: Educational Attainment: # Population 25 years and over, Less than HS graduate (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Less_than_HS_or_GED_MOE
)
Pct_Less_than_HS_or_GED
(
type: esriFieldTypeDouble, alias: Educational Attainment: % Population 25 years and over, Less than HS graduate, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Less_than_HS_or_GED
)
Pct_Less_than_HS_or_GED_MOE
(
type: esriFieldTypeDouble, alias: Educational Attainment: % Population 25 years and over, Less than HS graduate (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Less_than_HS_or_GED_MOE
)
Num_lessHS_2000
(
type: esriFieldTypeInteger, alias: Educational Attainment: # Less than high school diploma, 2000, editable: true, nullable: true, defaultValue: null, modelName: Num_lessHS_2000
)
Pct_Pop25up_lessHS_2000
(
type: esriFieldTypeInteger, alias: Educational Attainment: % Population 25 years and over, Less than HS graduate, 2000, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop25up_lessHS_2000
)
ChgPct_Pop25up_lessHS_2000_16
(
type: esriFieldTypeInteger, alias: Educational Attainment: Change, % Population 25 years and over, Less than HS graduate, 2000-2016, editable: true, nullable: true, defaultValue: null, modelName: ChgPct_Pop25up_lessHS_2000_16
)
Num_BA_or_Higher
(
type: esriFieldTypeInteger, alias: Educational Attainment: # Population 25 years and over, bachelor's degree or beyond, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_BA_or_Higher
)
Num_BA_or_Higher_MOE
(
type: esriFieldTypeInteger, alias: Educational Attainment: # Population 25 years and over, bachelor's degree or beyond (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_BA_or_Higher_MOE
)
Pct_BA_or_Higher
(
type: esriFieldTypeDouble, alias: Educational Attainment: % Population 25 years and over, bachelor's degree or beyond, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_BA_or_Higher
)
Pct_BA_or_Higher_MOE
(
type: esriFieldTypeDouble, alias: Educational Attainment: % Population 25 years and over, bachelor's degree or beyond (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_BA_or_Higher_MOE
)
TotPop_Civil_Noninst_MOE
(
type: esriFieldTypeInteger, alias: Disability: Total Civilian Noninstitutionalized Population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: TotPop_Civil_Noninst_MOE
)
Num_Civil_Noninst_wDisabil
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Civil_Noninst_wDisabil
)
Num_Civil_Noninst_wDisabil_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Civil_Noninst_wDisabil_MOE
)
Pct_Civil_Noninst_wDisabil
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civil_Noninst_wDisabil
)
Pct_Civil_Noninst_wDisabil_MOE
(
type: esriFieldTypeInteger, alias: Disability: % Civilian Noninstitutionalized Population With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civil_Noninst_wDisabil_MOE
)
TotPop_Civil_Noninst_U18yrs
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population Under 18 years, 2016, editable: true, nullable: true, defaultValue: null, modelName: TotPop_Civil_Noninst_U18yrs
)
TotPop_Civil_Noninst_U18yrs_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population Under 18 years (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: TotPop_Civil_Noninst_U18yrs_MOE
)
Num_CivNoninst_U18_wDisabil
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population Under 18 years With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_U18_wDisabil
)
Num_CivNoninst_U18_wDisabil_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population Under 18 years With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_U18_wDisabil_MOE
)
Pct_CivNoninst_U18_wDisabil
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population Under 18 years With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_U18_wDisabil
)
Pct_CivNoninst_U18_wDisabil_MOE
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population Under 18 years With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_U18_wDisabil_MOE
)
TotPop_Civ_Noninst_18_64yrs
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 18 to 64 years, 2016, editable: true, nullable: true, defaultValue: null, modelName: TotPop_Civ_Noninst_18_64yrs
)
TotPop_Civ_Noninst_18_64yrs_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 18 to 64 years (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: TotPop_Civ_Noninst_18_64yrs_MOE
)
Num_CivNoninst_18_64_wDisab
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 18 to 64 years With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_18_64_wDisab
)
Num_CivNoninst_18_64_wDisab_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 18 to 64 years With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_18_64_wDisab_MOE
)
Pct_CivNoninst_18_64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population 18 to 64 years With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_18_64_wDisab
)
Pct_CivNoninst_18_64_wDisab_MOE
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population 18 to 64 years With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_18_64_wDisab_MOE
)
Num_Civil_Noninst_65yrs_Ovr
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 65 years and over, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Civil_Noninst_65yrs_Ovr
)
Num_Civil_Noninst_65yrs_Ovr_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 65 years and over (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Civil_Noninst_65yrs_Ovr_MOE
)
Num_CivNoninst_65Ovr_wDisab
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 65 years and over With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_65Ovr_wDisab
)
Num_CivNoninst_65Ovr_wDisab_MOE
(
type: esriFieldTypeInteger, alias: Disability: # Civilian Noninstitutionalized Population 65 years and over With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_CivNoninst_65Ovr_wDisab_MOE
)
Pct_CivNoninst_65Ovr_wDisab
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population 65 years and over With a disability, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_65Ovr_wDisab
)
Pct_CivNoninst_65Ovr_wDisab_MOE
(
type: esriFieldTypeDouble, alias: Disability: % Civilian Noninstitutionalized Population 65 years and over With a disability (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_CivNoninst_65Ovr_wDisab_MOE
)
USnative_Born_in_US
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in the United States, 2016, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
USnative_Born_in_US_MOE
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in the United States (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US_MOE
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in the United States, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
Pct_USnative_Born_US_MOE
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in the United States (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US_MOE
)
USnative_Born_State_Resid
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in State of Residence, 2016, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
USnative_Born_State_Resid_MOE
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in State of Residence (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid_MOE
)
Pct_USnativ_Born_StateResid
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in State of Residence, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnativ_Born_StateResid
)
Pct_USnativ_Born_StateResid_MOE
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in State of Residence (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnativ_Born_StateResid_MOE
)
US_Native_Born_Diff_State
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in Different State, 2016, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
US_Native_Born_Diff_State_MOE
(
type: esriFieldTypeInteger, alias: Foreign Born: # Born in Different State (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State_MOE
)
Pct_US_Nativ_Born_DiffState
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in Different State, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Nativ_Born_DiffState
)
Pct_US_Nativ_Born_DiffState_MOE
(
type: esriFieldTypeDouble, alias: Foreign Born: % Born in Different State (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Nativ_Born_DiffState_MOE
)
Total_Population
(
type: esriFieldTypeInteger, alias: Total Population: # Total Population, 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population
)
Total_Population_MOE_2016
(
type: esriFieldTypeInteger, alias: Total Population: # Total population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population_MOE_2016
)
Pop_5Years_andOlder
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: # Population 5 years and Over, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_5Years_andOlder
)
Pop_5Years_andOlder_MOE
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: # Population 5 years and Over (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_5Years_andOlder_MOE
)
SpeakEngl_lessThan_vWell
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: # English not spoken at home, speaks English less than 'very well', 2016, editable: true, nullable: true, defaultValue: null, modelName: SpeakEngl_lessThan_vWell
)
SpeakEngl_lessThan_vWell_MOE
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: # English not spoken at home, speaks English less than 'very well' (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: SpeakEngl_lessThan_vWell_MOE
)
Pct_SpeakEng_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: % English not spoken at home, speaks English less than 'very well', 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_SpeakEng_lessThan_vWell
)
Pct_SpeakEng_lessThan_vWell_MOE
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: % English not spoken at home, speaks English less than 'very well' (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_SpeakEng_lessThan_vWell_MOE
)
Total_Population
(
type: esriFieldTypeInteger, alias: Total Population: # Total Population, 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population
)
Total_Population_MOE_2016
(
type: esriFieldTypeInteger, alias: Total Population: # Total population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population_MOE_2016
)
Population_16_years_over
(
type: esriFieldTypeInteger, alias: Unemployment: # Population 16 years and over, 2016, editable: true, nullable: true, defaultValue: null, modelName: Population_16_years_over
)
Population_16_years_over_MOE
(
type: esriFieldTypeInteger, alias: Unemployment: # Population 16 years and over (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Population_16_years_over_MOE
)
Pct_Public_Transp_not_Taxi_MOE
(
type: esriFieldTypeDouble, alias: Commuting: % Public transportation (excluding taxicab) to work (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Public_Transp_not_Taxi_MOE
)
Worked_at_home
(
type: esriFieldTypeInteger, alias: Commuting: # Worked at home, 2016, editable: true, nullable: true, defaultValue: null, modelName: Worked_at_home
)
Worked_at_home_MOE
(
type: esriFieldTypeInteger, alias: Commuting: # Worked at home (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Worked_at_home_MOE
)
Percent_Worked_at_home
(
type: esriFieldTypeDouble, alias: Commuting: % Worked at home, 2016, editable: true, nullable: true, defaultValue: null, modelName: Percent_Worked_at_home
)
Percent_Worked_at_home_MOE
(
type: esriFieldTypeDouble, alias: Commuting: % Worked at home (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Percent_Worked_at_home_MOE
)
Mean_Travel_Time_toWork_min
(
type: esriFieldTypeDouble, alias: Commuting: Mean travel time to work (minutes), 2016, editable: true, nullable: true, defaultValue: null, modelName: Mean_Travel_Time_toWork_min
)
Mean_Travel_Time_toWork_min_MOE
(
type: esriFieldTypeDouble, alias: Commuting: Mean travel time to work (minutes) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Mean_Travel_Time_toWork_min_MOE
)
Total_Population
(
type: esriFieldTypeInteger, alias: Total Population: # Total Population, 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population
)
Total_Population_MOE_2016
(
type: esriFieldTypeInteger, alias: Total Population: # Total population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population_MOE_2016
)
Pop_wHealth_Insurance
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pop_wHealth_Insurance_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance_MOE
)
Pct_Pop_wHealth_Insurance
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Insurance_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Insurance_MOE
)
Pop_wPriv_Health_Insurance
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with private health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Insurance
)
Pop_wPriv_Health_Insurance_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with private health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Insurance_MOE
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with private health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with private health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins_MOE
)
Pop_wPublic_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with public health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPublic_Health_Ins
)
Pop_wPublic_Health_Ins_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with public health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPublic_Health_Ins_MOE
)
Pct_Pop_wPublic_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with public health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPublic_Health_Ins
)
Pct_Pop_wPublic_Health_Ins_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with public health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPublic_Health_Ins_MOE
)
Pop_wNo_Health_Insurance
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Insurance
)
Pop_wNo_Health_Insurance_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Insurance_MOE
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins_MOE
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population Under 18 years with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population Under 18 years with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins_MOE
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population Under 18 years with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population Under 18 years with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins_MOE
)
Pop18_64_Employed
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, employed, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Employed
)
Pop18_64_Employed_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, employed (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Employed_MOE
)
Pop18_64_Empl_No_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, employed with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Empl_No_Health_Ins
)
Pop18_64_Empl_No_Health_Ins_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, employed with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Empl_No_Health_Ins_MOE
)
Pct18_64_Emp_No_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, employed with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_Emp_No_Health_Ins
)
Pct18_64_Emp_No_Health_Ins_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, employed with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_Emp_No_Health_Ins_MOE
)
Pop18_64_Unemployed
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, unemployed, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Unemployed
)
Pop18_64_Unemployed_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, unemployed (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Unemployed_MOE
)
Pop18_64_Unemp_No_HealthIns
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, unemployed with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Unemp_No_HealthIns
)
Pop18_64_Unemp_No_HealthIns_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, unemployed with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Unemp_No_HealthIns_MOE
)
Pct18_64_Unemp_No_HealthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, unemployed with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_Unemp_No_HealthIns
)
Pct18_64_Unemp_No_HealthIns_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, unemployed with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_Unemp_No_HealthIns_MOE
)
Pop18_64_Not_in_Labor_Force
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, not in labor force, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Not_in_Labor_Force
)
Pop18_64_Not_in_Labor_Force_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, not in labor force (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_Not_in_Labor_Force_MOE
)
Pop18_64_NotLabor_NoHlthIns
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, not in labor force with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_NotLabor_NoHlthIns
)
Pop18_64_NotLabor_NoHlthIns_MOE
(
type: esriFieldTypeInteger, alias: Health Insurance: # Civilian Noninstitutionalized Population ages 18 to 64, not in labor force with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop18_64_NotLabor_NoHlthIns_MOE
)
Pct18_64_NotLabor_NoHlthIns
(
type: esriFieldTypeInteger, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, not in labor force with no health insurance, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_NotLabor_NoHlthIns
)
Pct18_64_NotLabor_NoHlthIns_MOE
(
type: esriFieldTypeDouble, alias: Health Insurance: % Civilian Noninstitutionalized Population ages 18 to 64, not in labor force with no health insurance (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct18_64_NotLabor_NoHlthIns_MOE
)
Pop_u18_PovStatus_Determine
(
type: esriFieldTypeInteger, alias: Poverty: # Population under 18 years for whom poverty status is determined, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_PovStatus_Determine
)
Pop_u18_PovStatus_Determine_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population under 18 years for whom poverty status is determined (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_PovStatus_Determine_MOE
)
Pop_under18_inPoverty
(
type: esriFieldTypeInteger, alias: Poverty: # Population under 18 years below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_inPoverty
)
Pop_under18_inPoverty_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population under 18 years below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_inPoverty_MOE
)
Pct_Pop_u18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: % Population under 18 years below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_in_Poverty
)
Pct_Pop_u18_in_Poverty_MOE
(
type: esriFieldTypeInteger, alias: Poverty: % Population under 18 years below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_in_Poverty_MOE
)
Pop_18_64_PovStatus_Determ
(
type: esriFieldTypeInteger, alias: Poverty: # Population 18 to 64 years for whom poverty status is determined, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determ
)
Pop_18_64_PovStatus_Determ_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population 18 to 64 years for whom poverty status is determined (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determ_MOE
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeInteger, alias: Poverty: # Population 18 to 64 years below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pop_18_64_Years_in_Poverty_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population 18 to 64 years below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty_MOE
)
Pct_Pop_18_64_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: % Population 18 to 64 years below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_in_Poverty
)
Pct_Pop_18_64_in_Poverty_MOE
(
type: esriFieldTypeDouble, alias: Poverty: % Population 18 to 64 years below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_in_Poverty_MOE
)
Pop_65up_PovStatusDetermine
(
type: esriFieldTypeInteger, alias: Poverty: # Population 65 years and over for whom poverty status is determined, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_65up_PovStatusDetermine
)
Pop_65up_PovStatusDetermine_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population 65 years and over for whom poverty status is determined (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_65up_PovStatusDetermine_MOE
)
Pop_65up_in_Poverty
(
type: esriFieldTypeInteger, alias: Poverty: # Population 65 years and over below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_65up_in_Poverty
)
Pop_65up_in_Poverty_MOE
(
type: esriFieldTypeInteger, alias: Poverty: # Population 65 years and over below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pop_65up_in_Poverty_MOE
)
Pct_Pop_65up_inPoverty
(
type: esriFieldTypeDouble, alias: Poverty: % Population 65 years and over below poverty, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65up_inPoverty
)
Pct_Pop_65up_inPoverty_MOE
(
type: esriFieldTypeDouble, alias: Poverty: % Population 65 years and over below poverty (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65up_inPoverty_MOE
)
Total_Population
(
type: esriFieldTypeInteger, alias: Total Population: # Total Population, 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population
)
Total_Population_MOE_2016
(
type: esriFieldTypeInteger, alias: Total Population: # Total population (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Total_Population_MOE_2016
)
Units_Owner_Costs_Computed
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Housing units for which owner costs as a percentage of household income are computed, 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_Owner_Costs_Computed
)
Units_Owner_Costs_Computed_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Housing units for which owner costs as a percentage of household income are computed (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_Owner_Costs_Computed_MOE
)
Units_OwnCost_30pct_Income
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Owner-occupied housing units, costs 30.0% of income or more, 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_OwnCost_30pct_Income
)
Units_OwnCost_30pct_Income_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Owner-occupied housing units, costs 30.0% of income or more (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_OwnCost_30pct_Income_MOE
)
Pct_OwnCost_30pct_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Owner-occupied housing units, costs 30.0% of income or more, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_OwnCost_30pct_Income
)
Pct_OwnCost_30pct_Income_MOE
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Owner-occupied housing units, costs 30.0% of income or more (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_OwnCost_30pct_Income_MOE
)
Units_RentToIncome_Computed
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Occupied units for which rent as % of income can be computed, 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_RentToIncome_Computed
)
Units_RentToIncome_Computed_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Occupied units for which rent as % of income can be computed (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_RentToIncome_Computed_MOE
)
Units_Rent_More30Pct_Income
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Gross rent 30.0% of income or greater, 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_Rent_More30Pct_Income
)
Units_Rent_More30Pct_Income_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Gross rent 30.0% of income or greater (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_Rent_More30Pct_Income_MOE
)
Pct_Rent_More30Pct_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Gross rent 30.0% of income or greater, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Rent_More30Pct_Income
)
Pct_Rent_More30Pct_Income_MOE
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Gross rent 30.0% of income or greater (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_Rent_More30Pct_Income_MOE
)
Num_Tot_HH_RentOwnCosts
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Total households paying for housing (rent or owner costs), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Tot_HH_RentOwnCosts
)
Num_Tot_HH_RentOwnCosts_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Total households paying for housing (rent or owner costs) (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Num_Tot_HH_RentOwnCosts_MOE
)
Units_HsCosts_30pct_Income
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Occupied units for which costs exceed 30% of income, 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_HsCosts_30pct_Income
)
Units_HsCosts_30pct_Income_MOE
(
type: esriFieldTypeInteger, alias: Housing Affordability: # Occupied units for which costs exceed 30% of income (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Units_HsCosts_30pct_Income_MOE
)
Pct_HsCosts_30pct_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Occupied units for which costs exceed 30% of income, 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_HsCosts_30pct_Income
)
Pct_HsCosts_30pct_Income_MOE
(
type: esriFieldTypeDouble, alias: Housing Affordability: % Occupied units for which costs exceed 30% of income (Margin of Error), 2016, editable: true, nullable: true, defaultValue: null, modelName: Pct_HsCosts_30pct_Income_MOE
)
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education (GA DOE) and Governor’s Office of Student Achievement (GOSA), to show College and Career Ready Performance Index (CCRPI) (2012-2017), Climate Star rating (2014-2017), out-of-school suspensions (OSS)(2015-2017), attendance/absences(2011-2016), enrollment demographics (2011-2016), student mobility (churn rate)(2013-2016), and teacher experience (2011-2016); for each public school (K-12, elementary, middle, or high school) in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; M = Middle School; H = High School; K12 = Other school type)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GA DOE:CCRPI_2012= CCRPI, 2012CCRPI_2013= CCRPI, 2013CCRPI_2014= CCRPI, 2014CCRPI_2015= CCRPI, 2015CCRPI_2016= CCRPI, 2016CCRPI_2017= CCRPI, 2017- - - - - -Climate_Star_Rating_2014= Climate Star Rating, 2014Climate_Star_Rating_2015= Climate Star Rating, 2015Climate_Star_Rating_2016= Climate Star Rating, 2016Climate_Star_Rating_2017= Climate Star Rating, 2017- - - - - -Total_Student_Count_2015= Total Student Count, 2015Days_0_OSS_2015= 0 days Out of School Suspension, 2015Days_1_2_OSS_2015= 1-2 Days Out of School Suspension, 2015Days_3plus_OSS_2015= 3+ Days Out of School Suspension, 2015Pct_0_days_OSS_2015= % 0 days Out of School Suspension, 2015Pct_1_2_Days_OSS_2015= % 1-2 Days Out of School Suspension, 2015Pct_3plus_Days_OSS_2015= % 3+ Days Out of School Suspension, 2015Total_Student_Count_2016= Total Student Count, 2016Days_0_OSS_2016= 0 days Out of School Suspension, 2016Days_1_2_OSS_2016= 1-2 Days Out of School Suspension, 2016Days_3plus_OSS_2016= 3+ Days Out of School Suspension, 2016Pct_0_days_OSS_2016= % 0 days Out of School Suspension, 2016Pct_1_2_Days_OSS_2016= % 1-2 Days Out of School Suspension, 2016Pct_3plus_Days_OSS_2016= % 3+ Days Out of School Suspension, 2016Total_Student_Count_2017= Total Student Count, 2017Days_0_OSS_2017= 0 days Out of School Suspension, 2017Days_1_2_OSS_2017= 1-2 Days Out of School Suspension, 2017Days_3plus_OSS_2017= 3+ Days Out of School Suspension, 2017Pct_0_days_OSS_2017= % 0 days Out of School Suspension, 2017Pct_1_2_Days_OSS_2017= % 1-2 Days Out of School Suspension, 2017Pct_3plus_Days_OSS_2017= % 3+ Days Out of School Suspension, 2017- - - - - -Attributes from GOSA:Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Absent_0_5_days_2011= % Absent 0-5 days, 2011Pct_Absent_6_15_days_2011= % Absent 6-15 days, 2011Pct_Absent_16_or_more_days_2011= % Absent 16 or more days, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Absent_0_5_days_2012= % Absent 0-5 days, 2012Pct_Absent_6_15_days_2012= % Absent 6-15 days, 2012Pct_Absent_16_or_more_days_2012= % Absent 16 or more days, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Absent_0_5_days_2013= % Absent 0-5 days, 2013Pct_Absent_6_15_days_2013= % Absent 6-15 days, 2013Pct_Absent_16_or_more_days_2013= % Absent 16 or more days, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Absent_0_5_days_2014= % Absent 0-5 days, 2014Pct_Absent_6_15_days_2014= % Absent 6-15 days, 2014Pct_Absent_16_or_more_days_2014= % Absent 16 or more days, 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Absent_0_5_days_2015= % Absent 0-5 days, 2015Pct_Absent_6_15_days_2015= % Absent 6-15 days, 2015Pct_Absent_16_or_more_days_2015= % Absent 16 or more days, 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Absent_0_5_days_2016= % Absent 0-5 days, 2016Pct_Absent_6_15_days_2016= % Absent 6-15 days, 2016Pct_Absent_16_or_more_days_2016= % Absent 16 or more days, 2016- - - - - -Tot_Enrollment_Fall_SchYr_2011= Total Enrollment: Fall Count, School Year 2011Pct_Asian_2011= % Asian, 2011Pct_Native_American_2011= % Native American, 2011Pct_Black_or_AfricanAmer_2011= % Black or African-American, 2011Pct_Hispanic_or_Latino_2011= % Hispanic or Latino, 2011Pct_Multiracial_2011= % Multiracial, 2011Pct_White_2011= % White, 2011Pct_Migrant_2011= % Migrant, 2011Pct_Econ_Disadvantaged_2011= % Economically Disadvantaged, 2011Pct_Disabilities_2011= % Students with Disabilities, 2011Pct_Limited_English_2011= % Limited English Proficiency, 2011Pct_ESOL_2011= % ESOL, 2011Pct_Gifted_2011= % Gifted, 2011Tot_Enrollment_Fall_SchYr_2012= Total Enrollment: Fall Count, School Year 2012Pct_Asian_2012= % Asian, 2012Pct_Native_American_2012= % Native American, 2012Pct_Black_or_AfricanAmer_2012= % Black or African-American, 2012Pct_Hispanic_or_Latino_2012= % Hispanic or Latino, 2012Pct_Multiracial_2012= % Multiracial, 2012Pct_White_2012= % White, 2012Pct_Migrant_2012= % Migrant, 2012Pct_Econ_Disadvantaged_2012= % Economically Disadvantaged, 2012Pct_Disabilities_2012= % Students with Disabilities, 2012Pct_Limited_English_2012= % Limited English Proficiency, 2012Pct_ESOL_2012= % ESOL, 2012Pct_Gifted_2012= % Gifted, 2012Tot_Enrollment_Fall_SchYr_2013= Total Enrollment: Fall Count, School Year 2013Pct_Asian_2013= % Asian, 2013Pct_Native_American_2013= % Native American, 2013Pct_Black_or_AfricanAmer_2013= % Black or African-American, 2013Pct_Hispanic_or_Latino_2013= % Hispanic or Latino, 2013Pct_Multiracial_2013= % Multiracial, 2013Pct_White_2013= % White, 2013Pct_Migrant_2013= % Migrant, 2013Pct_Econ_Disadvantaged_2013= % Economically Disadvantaged, 2013Pct_Disabilities_2013= % Students with Disabilities, 2013Pct_Limited_English_2013= % Limited English Proficiency, 2013Pct_ESOL_2013= % ESOL, 2013Pct_Gifted_2013= % Gifted, 2013Tot_Enrollment_Fall_SchYr_2014= Total Enrollment: Fall Count, School Year 2014Pct_Asian_2014= % Asian, 2014Pct_Native_American_2014= % Native American, 2014Pct_Black_or_AfricanAmer_2014= % Black or African-American, 2014Pct_Hispanic_or_Latino_2014= % Hispanic or Latino, 2014Pct_Multiracial_2014= % Multiracial, 2014Pct_White_2014= % White, 2014Pct_Migrant_2014= % Migrant, 2014Pct_Econ_Disadvantaged_2014= % Economically Disadvantaged, 2014Pct_Disabilities_2014= % Students with Disabilities, 2014Pct_Limited_English_2014= % Limited English Proficiency, 2014Pct_ESOL_2014= % ESOL, 2014Pct_Gifted_2014= % Gifted, 2014Pct_Students_in_poverty_2014= % Students in poverty (Directly Certified), 2014Tot_Enrollment_Fall_SchYr_2015= Total Enrollment: Fall Count, School Year 2015Pct_Asian_2015= % Asian, 2015Pct_Native_American_2015= % Native American, 2015Pct_Black_or_AfricanAmer_2015= % Black or African-American, 2015Pct_Hispanic_or_Latino_2015= % Hispanic or Latino, 2015Pct_Multiracial_2015= % Multiracial, 2015Pct_White_2015= % White, 2015Pct_Migrant_2015= % Migrant, 2015Pct_Econ_Disadvantaged_2015= % Economically Disadvantaged, 2015Pct_Disabilities_2015= % Students with Disabilities, 2015Pct_Limited_English_2015= % Limited English Proficiency, 2015Pct_ESOL_2015= % ESOL, 2015Pct_Gifted_2015= % Gifted, 2015Pct_Students_in_poverty_2015= % Students in poverty (Directly Certified), 2015Tot_Enrollment_Fall_SchYr_2016= Total Enrollment: Fall Count, School Year 2016Pct_Asian_2016= % Asian, 2016Pct_Native_American_2016= % Native American, 2016Pct_Black_or_AfricanAmer_2016= % Black or African-American, 2016Pct_Hispanic_or_Latino_2016= % Hispanic or Latino, 2016Pct_Multiracial_2016= % Multiracial, 2016Pct_White_2016= % White, 2016Pct_Migrant_2016= % Migrant, 2016Pct_Econ_Disadvantaged_2016= % Economically Disadvantaged, 2016Pct_Disabilities_2016= % Students with Disabilities, 2016Pct_Limited_English_2016= % Limited English Proficiency, 2016Pct_ESOL_2016= % ESOL, 2016Pct_Gifted_2016= % Gifted, 2016Pct_Students_in_poverty_2016= % Students in poverty (Directly Certified), 2016- - - - - -Churn_Rate_2013= Churn Rate, 2013Churn_Rate_2014= Churn Rate, 2014Churn_Rate_2015= Churn Rate, 2015Churn_Rate_2016= Churn Rate, 2016- - - - - -Teacher_count_2011= Teacher count, 2011Avg_years_of_Teacher_Exp_2011= Average years of teacher experience, 2011Pct_Teachers_less1_Yr_Exp_2011= % Teachers with <1 year experience, 2011Pct_Teachers_1_10_Yrs_Exp_2011= % Teachers with 1-10 years experience, 2011Pct_Teachers_11_20_Yrs_Exp_2011= % Teachers with 11-20 years experience, 2011Pct_Teachers_21_30_Yrs_Exp_2011= % Teachers with 21-30 years experience, 2011Pct_Teachers_more30yrs_Exp_2011= % Teachers with >30 years experience, 2011Teacher_count_2012= Teacher count, 2012Avg_years_of_Teacher_Exp_2012= Average years of teacher experience, 2012Pct_Teachers_less1_Yr_Exp_2012= % Teachers with <1 year experience, 2012Pct_Teachers_1_10_Yrs_Exp_2012= % Teachers with 1-10 years experience, 2012Pct_Teachers_11_20_Yrs_Exp_2012= % Teachers with 11-20 years experience, 2012Pct_Teachers_21_30_Yrs_Exp_2012= % Teachers with 21-30 years experience, 2012Pct_Teachers_more30yrs_Exp_2012= % Teachers with >30 years experience, 2012Teacher_count_2013= Teacher count, 2013Avg_years_of_Teacher_Exp_2013= Average years of teacher experience, 2013Pct_Teachers_less1_Yr_Exp_2013= % Teachers with <1 year experience, 2013Pct_Teachers_1_10_Yrs_Exp_2013= % Teachers with 1-10 years experience, 2013Pct_Teachers_11_20_Yrs_Exp_2013= % Teachers with 11-20 years experience, 2013Pct_Teachers_21_30_Yrs_Exp_2013= % Teachers with 21-30 years experience, 2013Pct_Teachers_more30yrs_Exp_2013= % Teachers with >30 years experience, 2013Teacher_count_2014= Teacher count, 2014Avg_years_of_Teacher_Exp_2014= Average years of teacher experience, 2014Pct_Teachers_less1_Yr_Exp_2014= % Teachers with <1 year experience, 2014Pct_Teachers_1_10_Yrs_Exp_2014= % Teachers with 1-10 years experience, 2014Pct_Teachers_11_20_Yrs_Exp_2014= % Teachers with 11-20 years experience, 2014Pct_Teachers_21_30_Yrs_Exp_2014= % Teachers with 21-30 years experience, 2014Pct_Teachers_more30yrs_Exp_2014= % Teachers with >30 years experience, 2014Teacher_count_2015= Teacher count, 2015Avg_years_of_Teacher_Exp_2015= Average years of teacher experience, 2015Pct_Teachers_less1_Yr_Exp_2015= % Teachers with <1 year experience, 2015Pct_Teachers_1_10_Yrs_Exp_2015= % Teachers with 1-10 years experience, 2015Pct_Teachers_11_20_Yrs_Exp_2015= % Teachers with 11-20 years experience, 2015Pct_Teachers_21_30_Yrs_Exp_2015= % Teachers with 21-30 years experience, 2015Pct_Teachers_more30yrs_Exp_2015= % Teachers with >30 years experience, 2015Teacher_count_2016= Teacher count, 2016Avg_years_of_Teacher_Exp_2016= Average years of teacher experience, 2016Pct_Teachers_less1_Yr_Exp_2016= % Teachers with <1 year experience, 2016Pct_Teachers_1_10_Yrs_Exp_2016= % Teachers with 1-10 years experience, 2016Pct_Teachers_11_20_Yrs_Exp_2016= % Teachers with 11-20 years experience, 2016Pct_Teachers_21_30_Yrs_Exp_2016= % Teachers with 21-30 years experience, 2016Pct_Teachers_more30yrs_Exp_2016= % Teachers with >30 years experience, 2016- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Date: 2011-2016Source(s)/Dates: Georgia Department of Education (GA DOE), 2011-2017Governor’s Office of Student Achievement (GOSA), 2011-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education (GA DOE), Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education to show aerobic health data for students (using the Healthy Fitness Zone for Aerobic Capacity standard, as defined by the Cooper Institute FitnessGram tool), for 2017, for public elementary schools in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (E = Elementary School; K12 = Other school type including elementary grade levels)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes for HFZ Scores:Num_Tested_All_2017= # Tested: All, 2017Average_Score_All_2017= Average Score: All, 2017Num_in_HFZ_All_2017= # in Healthy Fitness Zone: All, 2017Pct_in_HFZ_All_2017= % in Healthy Fitness Zone: All, 2017Num_Tested_Male_2017= # Tested: Male, 2017Average_Score_Male_2017= Average Score: Male, 2017Num_in_HFZ_Male_2017= # in Healthy Fitness Zone: Male, 2017Pct_in_HFZ_Male_2017= % in Healthy Fitness Zone: Male, 2017Num_Tested_Female_2017= # Tested: Female, 2017Average_Score_Female_2017= Average Score: Female, 2017Num_in_HFZ_Female_2017= # in Healthy Fitness Zone: Female, 2017Pct_in_HFZ_Female_2017= % in Healthy Fitness Zone: Female, 2017- - - - - -Source: Georgia Department of EducationDate: 2017For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Education, Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Governor’s Office of Student Achievement (GOSA),to show ACT scores (2011-2016), Graduation Rate (2011-2016), HOPE scholarship eligibility (2011-2016), SAT scores (), and students’ progress (employment/educational status) after high school, for Class of 2007 through Class of 2015(as of 2016); for each public high school in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (H = High School; K12 = Other school type including high school grade levels)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GOSA:AvgHi_ACT_Composite_Score_2011= Average Highest ACT: Composite Score, 2011AvgHi_ACT_Combi_EngWriting_2011= Average Highest ACT: Combined English Writing, 2011AvgHi_ACT_Writing_Subscore_2011= Average Highest ACT: Writing Subscore, 2011AvgHi_ACT_English_2011= Average Highest ACT: English, 2011AvgHi_ACT_Math_2011= Average Highest ACT: Math, 2011AvgHi_ACT_Reading_2011= Average Highest ACT: Reading, 2011AvgHi_ACT_Science_2011= Average Highest ACT: Science, 2011AvgHi_ACT_Composite_Score_2012= Average Highest ACT: Composite Score, 2012AvgHi_ACT_Combi_EngWriting_2012= Average Highest ACT: Combined English Writing, 2012AvgHi_ACT_Writing_Subscore_2012= Average Highest ACT: Writing Subscore, 2012AvgHi_ACT_English_2012= Average Highest ACT: English, 2012AvgHi_ACT_Math_2012= Average Highest ACT: Math, 2012AvgHi_ACT_Reading_2012= Average Highest ACT: Reading, 2012AvgHi_ACT_Science_2012= Average Highest ACT: Science, 2012AvgHi_ACT_Composite_Score_2013= Average Highest ACT: Composite Score, 2013AvgHi_ACT_Combi_EngWriting_2013= Average Highest ACT: Combined English Writing, 2013AvgHi_ACT_Writing_Subscore_2013= Average Highest ACT: Writing Subscore, 2013AvgHi_ACT_English_2013= Average Highest ACT: English, 2013AvgHi_ACT_Math_2013= Average Highest ACT: Math, 2013AvgHi_ACT_Reading_2013= Average Highest ACT: Reading, 2013AvgHi_ACT_Science_2013= Average Highest ACT: Science, 2013AvgHi_ACT_Composite_Score_2014= Average Highest ACT: Composite Score, 2014AvgHi_ACT_Combi_EngWriting_2014= Average Highest ACT: Combined English Writing, 2014AvgHi_ACT_Writing_Subscore_2014= Average Highest ACT: Writing Subscore, 2014AvgHi_ACT_English_2014= Average Highest ACT: English, 2014AvgHi_ACT_Math_2014= Average Highest ACT: Math, 2014AvgHi_ACT_Reading_2014= Average Highest ACT: Reading, 2014AvgHi_ACT_Science_2014= Average Highest ACT: Science, 2014AvgHi_ACT_Composite_Score_2015= Average Highest ACT: Composite Score, 2015AvgHi_ACT_Combi_EngWriting_2015= Average Highest ACT: Combined English Writing, 2015AvgHi_ACT_Writing_Subscore_2015= Average Highest ACT: Writing Subscore, 2015AvgHi_ACT_English_2015= Average Highest ACT: English, 2015AvgHi_ACT_Math_2015= Average Highest ACT: Math, 2015AvgHi_ACT_Reading_2015= Average Highest ACT: Reading, 2015AvgHi_ACT_Science_2015= Average Highest ACT: Science, 2015AvgHi_ACT_Composite_Score_2016= Average Highest ACT: Composite Score, 2016AvgHi_ACT_Writing_Subscore_2016= Average Highest ACT: Writing Subscore, 2016AvgHi_ACT_English_2016= Average Highest ACT: English, 2016AvgHi_ACT_Math_2016= Average Highest ACT: Math, 2016AvgHi_ACT_Reading_2016= Average Highest ACT: Reading, 2016AvgHi_ACT_Science_2016= Average Highest ACT: Science, 2016- - - - - -Graduation_Rate_2011= Graduation Rate, 2011Graduation_Rate_2012= Graduation Rate, 2012Graduation_Rate_2013= Graduation Rate, 2013Graduation_Rate_2014= Graduation Rate, 2014Graduation_Rate_2015= Graduation Rate, 2015Graduation_Rate_2016= Graduation Rate, 2016- - - - - -Number_of_Graduates_2011= Number of Graduates, 2011Pct_HOPE_Eligible_2011= % HOPE Eligible, 2011Number_of_Graduates_2012= Number of Graduates, 2012Pct_HOPE_Eligible_2012= % HOPE Eligible, 2012Number_of_Graduates_2013= Number of Graduates, 2013Pct_HOPE_Eligible_2013= % HOPE Eligible, 2013Number_of_Graduates_2014= Number of Graduates, 2014Pct_HOPE_Eligible_2014= % HOPE Eligible, 2014Number_of_Graduates_2015= Number of Graduates, 2015Pct_HOPE_Eligible_2015= % HOPE Eligible, 2015Number_of_Graduates_2016= Number of Graduates, 2016Pct_HOPE_Eligible_2016= % HOPE Eligible, 2016- - - - - -AvgHi_SAT_Score_Combined_2011= Average Highest SAT Score: Combined, 2011AvgHi_SAT_Score_Math_2011= Average Highest SAT Score: Math, 2011AvgHi_SAT_Score_Reading_2011= Average Highest SAT Score: Reading, 2011AvgHi_SAT_Score_Writing_2011= Average Highest SAT Score: Writing, 2011AvgHi_SAT_Score_Combined_2012= Average Highest SAT Score: Combined, 2012AvgHi_SAT_Score_Math_2012= Average Highest SAT Score: Math, 2012AvgHi_SAT_Score_Reading_2012= Average Highest SAT Score: Reading, 2012AvgHi_SAT_Score_Writing_2012= Average Highest SAT Score: Writing, 2012AvgHi_SAT_Score_Combined_2013= Average Highest SAT Score: Combined, 2013AvgHi_SAT_Score_Math_2013= Average Highest SAT Score: Math, 2013AvgHi_SAT_Score_Reading_2013= Average Highest SAT Score: Reading, 2013AvgHi_SAT_Score_Writing_2013= Average Highest SAT Score: Writing, 2013AvgHi_SAT_Score_Combined_2014= Average Highest SAT Score: Combined, 2014AvgHi_SAT_Score_Math_2014= Average Highest SAT Score: Math, 2014AvgHi_SAT_Score_Reading_2014= Average Highest SAT Score: Reading, 2014AvgHi_SAT_Score_Writing_2014= Average Highest SAT Score: Writing, 2014AvgHi_SAT_Score_Combined_2015= Average Highest SAT Score: Combined, 2015AvgHi_SAT_Score_Math_2015= Average Highest SAT Score: Math, 2015AvgHi_SAT_Score_Reading_2015= Average Highest SAT Score: Reading, 2015AvgHi_SAT_Score_Writing_2015= Average Highest SAT Score: Writing, 2015AvgHi_SAT_Score_Combined_2016= Average Highest SAT Score: Combined, 2016AvgHi_SAT_Score_Math_2016= Average Highest SAT Score: Math, 2016AvgHi_SAT_Score_Reading_2016= Average Highest SAT Score: Reading, 2016AvgHi_SAT_Score_Writing_2016= Average Highest SAT Score: Writing, 2016- - - - - -Class2007_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2007Class2007_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2007Class2007_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2007Class2007_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2007Class2007_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2007Class2007_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2007Class2007_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2007Class2007_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2007Class2007_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2007Class2007_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2007Class2007_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2007Class2007_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2007Class2007_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2007- - - - - -Class2008_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2008Class2008_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2008Class2008_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2008Class2008_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2008Class2008_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2008Class2008_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2008Class2008_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2008Class2008_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2008Class2008_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2008Class2008_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2008Class2008_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2008Class2008_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2008Class2008_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2008- - - - - -Class2009_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2009Class2009_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2009Class2009_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2009Class2009_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2009Class2009_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2009Class2009_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2009Class2009_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2009Class2009_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2009Class2009_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2009Class2009_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2009Class2009_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2009Class2009_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2009Class2009_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2009- - - - - -Class2010_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2010Class2010_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2010Class2010_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2010Class2010_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2010Class2010_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2010Class2010_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2010Class2010_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2010Class2010_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2010Class2010_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2010Class2010_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2010Class2010_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2010Class2010_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2010Class2010_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2010- - - - - -Class2011_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2011Class2011_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2011Class2011_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2011Class2011_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2011Class2011_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2011Class2011_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2011Class2011_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2011Class2011_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2011Class2011_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2011Class2011_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2011Class2011_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2011Class2011_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2011Class2011_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2011- - - - - -Class2012_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2012Class2012_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2012Class2012_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2012Class2012_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2012Class2012_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2012Class2012_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2012- - - - - -Class2013_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2013Class2013_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2013Class2013_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2013Class2013_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2013Class2013_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2013Class2013_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2013- - - - - -Class2014_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2014Class2014_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2014Class2014_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2014Class2014_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2014Class2014_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2014Class2014_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2014- - - - - -Class2015_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2015Class2015_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2015Class2015_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2015Class2015_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2015Class2015_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2015Class2015_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2015- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Dates: ACT test scores, graduation rates, HOPE scholarship eligibility, and SAT test scores: 2011-2016Students’ progress after high school: 2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Class2007_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_privGA_1yr
)
Class2007_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_pubGA_1yr
)
Class2007_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_techGA_1yr
)
Class2007_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_outGA_1yr
)
Class2007_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Unknown_1yr
)
Class2007_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctWorkGAnoEnroll_1yr
)
Class2007_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_Cert_5yrs
)
Class2007_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_AA_5yrs
)
Class2007_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_BA_5yrs
)
Class2007_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_MAorHi_5yrs
)
Class2007_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_OtherCred_5yrs
)
Class2007_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_EnrollnoCred_5yrs
)
Class2007_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Not_Enrolled_5yrs
)
Class2008_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_privGA_1yr
)
Class2008_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_pubGA_1yr
)
Class2008_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_techGA_1yr
)
Class2008_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_outGA_1yr
)
Class2008_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Unknown_1yr
)
Class2008_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctWorkGAnoEnroll_1yr
)
Class2008_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_Cert_5yrs
)
Class2008_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_AA_5yrs
)
Class2008_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_BA_5yrs
)
Class2008_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_MAorHi_5yrs
)
Class2008_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_OtherCred_5yrs
)
Class2008_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_EnrollnoCred_5yrs
)
Class2008_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Not_Enrolled_5yrs
)
Class2009_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_privGA_1yr
)
Class2009_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_pubGA_1yr
)
Class2009_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_techGA_1yr
)
Class2009_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_outGA_1yr
)
Class2009_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Unknown_1yr
)
Class2009_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctWorkGAnoEnroll_1yr
)
Class2009_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_Cert_5yrs
)
Class2009_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_AA_5yrs
)
Class2009_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_BA_5yrs
)
Class2009_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_MAorHi_5yrs
)
Class2009_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_OtherCred_5yrs
)
Class2009_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_EnrollnoCred_5yrs
)
Class2009_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Not_Enrolled_5yrs
)
Class2010_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_privGA_1yr
)
Class2010_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_pubGA_1yr
)
Class2010_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_techGA_1yr
)
Class2010_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_outGA_1yr
)
Class2010_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Unknown_1yr
)
Class2010_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctWorkGAnoEnroll_1yr
)
Class2010_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_Cert_5yrs
)
Class2010_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_AA_5yrs
)
Class2010_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_BA_5yrs
)
Class2010_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_MAorHi_5yrs
)
Class2010_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_OtherCred_5yrs
)
Class2010_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_EnrollnoCred_5yrs
)
Class2010_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Not_Enrolled_5yrs
)
Class2011_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_privGA_1yr
)
Class2011_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_pubGA_1yr
)
Class2011_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_techGA_1yr
)
Class2011_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_outGA_1yr
)
Class2011_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Unknown_1yr
)
Class2011_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctWorkGAnoEnroll_1yr
)
Class2011_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_Cert_5yrs
)
Class2011_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_AA_5yrs
)
Class2011_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_BA_5yrs
)
Class2011_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_MAorHi_5yrs
)
Class2011_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_OtherCred_5yrs
)
Class2011_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_EnrollnoCred_5yrs
)
Class2011_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Not_Enrolled_5yrs
)
Class2012_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_privGA_1yr
)
Class2012_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_pubGA_1yr
)
Class2012_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_techGA_1yr
)
Class2012_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_outGA_1yr
)
Class2012_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_Pct_Unknown_1yr
)
Class2012_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctWorkGAnoEnroll_1yr
)
Class2013_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_privGA_1yr
)
Class2013_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_pubGA_1yr
)
Class2013_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_techGA_1yr
)
Class2013_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_outGA_1yr
)
Class2013_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_Pct_Unknown_1yr
)
Class2013_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctWorkGAnoEnroll_1yr
)
Class2014_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_privGA_1yr
)
Class2014_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_pubGA_1yr
)
Class2014_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_techGA_1yr
)
Class2014_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_outGA_1yr
)
Class2014_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_Pct_Unknown_1yr
)
Class2014_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctWorkGAnoEnroll_1yr
)
Class2015_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_privGA_1yr
)
Class2015_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_pubGA_1yr
)
Class2015_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_techGA_1yr
)
Class2015_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_outGA_1yr
)
Class2015_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_Pct_Unknown_1yr
)
Class2015_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctWorkGAnoEnroll_1yr
)
AvgHi_SAT_Score_Combined_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2011
)
AvgHi_SAT_Score_Math_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2011
)
AvgHi_SAT_Score_Reading_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2011
)
AvgHi_SAT_Score_Writing_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2011
)
AvgHi_SAT_Score_Combined_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2012
)
AvgHi_SAT_Score_Math_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2012
)
AvgHi_SAT_Score_Reading_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2012
)
AvgHi_SAT_Score_Writing_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2012
)
AvgHi_SAT_Score_Combined_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2013
)
AvgHi_SAT_Score_Math_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2013
)
AvgHi_SAT_Score_Reading_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2013
)
AvgHi_SAT_Score_Writing_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2013
)
AvgHi_SAT_Score_Combined_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2014
)
AvgHi_SAT_Score_Math_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2014
)
AvgHi_SAT_Score_Reading_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2014
)
AvgHi_SAT_Score_Writing_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2014
)
AvgHi_SAT_Score_Combined_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2015
)
AvgHi_SAT_Score_Math_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2015
)
AvgHi_SAT_Score_Reading_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2015
)
AvgHi_SAT_Score_Writing_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2015
)
AvgHi_SAT_Score_Combined_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2016
)
AvgHi_SAT_Score_Math_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2016
)
AvgHi_SAT_Score_Reading_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2016
)
AvgHi_SAT_Score_Writing_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2016
)
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Governor’s Office of Student Achievement (GOSA),to show ACT scores (2011-2016), Graduation Rate (2011-2016), HOPE scholarship eligibility (2011-2016), SAT scores (), and students’ progress (employment/educational status) after high school, for Class of 2007 through Class of 2015(as of 2016); for each public high school in the state of Georgia.- - - - - -Base Attributes:SYSSCHOOL = Unique identifier (concatenation of the System ID and School ID)SYSTEM_ID = School System IDSYSTEM_NAME = School System NameSCHOOL_ID = School IDSCHOOL_NAME = School NameFAC_SCHTYP = School Type (H = High School; K12 = Other school type including high school grade levels)GRADE_RANGE = Range of grade levels servedSCHOOL_ADD = AddressSCHOOL_CITY = CitySTATE = StateSCHOOL_ZIP = Zip CodeSCHOOL_PHONE = Phone Number- - - - - -Attributes from GOSA:AvgHi_ACT_Composite_Score_2011= Average Highest ACT: Composite Score, 2011AvgHi_ACT_Combi_EngWriting_2011= Average Highest ACT: Combined English Writing, 2011AvgHi_ACT_Writing_Subscore_2011= Average Highest ACT: Writing Subscore, 2011AvgHi_ACT_English_2011= Average Highest ACT: English, 2011AvgHi_ACT_Math_2011= Average Highest ACT: Math, 2011AvgHi_ACT_Reading_2011= Average Highest ACT: Reading, 2011AvgHi_ACT_Science_2011= Average Highest ACT: Science, 2011AvgHi_ACT_Composite_Score_2012= Average Highest ACT: Composite Score, 2012AvgHi_ACT_Combi_EngWriting_2012= Average Highest ACT: Combined English Writing, 2012AvgHi_ACT_Writing_Subscore_2012= Average Highest ACT: Writing Subscore, 2012AvgHi_ACT_English_2012= Average Highest ACT: English, 2012AvgHi_ACT_Math_2012= Average Highest ACT: Math, 2012AvgHi_ACT_Reading_2012= Average Highest ACT: Reading, 2012AvgHi_ACT_Science_2012= Average Highest ACT: Science, 2012AvgHi_ACT_Composite_Score_2013= Average Highest ACT: Composite Score, 2013AvgHi_ACT_Combi_EngWriting_2013= Average Highest ACT: Combined English Writing, 2013AvgHi_ACT_Writing_Subscore_2013= Average Highest ACT: Writing Subscore, 2013AvgHi_ACT_English_2013= Average Highest ACT: English, 2013AvgHi_ACT_Math_2013= Average Highest ACT: Math, 2013AvgHi_ACT_Reading_2013= Average Highest ACT: Reading, 2013AvgHi_ACT_Science_2013= Average Highest ACT: Science, 2013AvgHi_ACT_Composite_Score_2014= Average Highest ACT: Composite Score, 2014AvgHi_ACT_Combi_EngWriting_2014= Average Highest ACT: Combined English Writing, 2014AvgHi_ACT_Writing_Subscore_2014= Average Highest ACT: Writing Subscore, 2014AvgHi_ACT_English_2014= Average Highest ACT: English, 2014AvgHi_ACT_Math_2014= Average Highest ACT: Math, 2014AvgHi_ACT_Reading_2014= Average Highest ACT: Reading, 2014AvgHi_ACT_Science_2014= Average Highest ACT: Science, 2014AvgHi_ACT_Composite_Score_2015= Average Highest ACT: Composite Score, 2015AvgHi_ACT_Combi_EngWriting_2015= Average Highest ACT: Combined English Writing, 2015AvgHi_ACT_Writing_Subscore_2015= Average Highest ACT: Writing Subscore, 2015AvgHi_ACT_English_2015= Average Highest ACT: English, 2015AvgHi_ACT_Math_2015= Average Highest ACT: Math, 2015AvgHi_ACT_Reading_2015= Average Highest ACT: Reading, 2015AvgHi_ACT_Science_2015= Average Highest ACT: Science, 2015AvgHi_ACT_Composite_Score_2016= Average Highest ACT: Composite Score, 2016AvgHi_ACT_Writing_Subscore_2016= Average Highest ACT: Writing Subscore, 2016AvgHi_ACT_English_2016= Average Highest ACT: English, 2016AvgHi_ACT_Math_2016= Average Highest ACT: Math, 2016AvgHi_ACT_Reading_2016= Average Highest ACT: Reading, 2016AvgHi_ACT_Science_2016= Average Highest ACT: Science, 2016- - - - - -Graduation_Rate_2011= Graduation Rate, 2011Graduation_Rate_2012= Graduation Rate, 2012Graduation_Rate_2013= Graduation Rate, 2013Graduation_Rate_2014= Graduation Rate, 2014Graduation_Rate_2015= Graduation Rate, 2015Graduation_Rate_2016= Graduation Rate, 2016- - - - - -Number_of_Graduates_2011= Number of Graduates, 2011Pct_HOPE_Eligible_2011= % HOPE Eligible, 2011Number_of_Graduates_2012= Number of Graduates, 2012Pct_HOPE_Eligible_2012= % HOPE Eligible, 2012Number_of_Graduates_2013= Number of Graduates, 2013Pct_HOPE_Eligible_2013= % HOPE Eligible, 2013Number_of_Graduates_2014= Number of Graduates, 2014Pct_HOPE_Eligible_2014= % HOPE Eligible, 2014Number_of_Graduates_2015= Number of Graduates, 2015Pct_HOPE_Eligible_2015= % HOPE Eligible, 2015Number_of_Graduates_2016= Number of Graduates, 2016Pct_HOPE_Eligible_2016= % HOPE Eligible, 2016- - - - - -AvgHi_SAT_Score_Combined_2011= Average Highest SAT Score: Combined, 2011AvgHi_SAT_Score_Math_2011= Average Highest SAT Score: Math, 2011AvgHi_SAT_Score_Reading_2011= Average Highest SAT Score: Reading, 2011AvgHi_SAT_Score_Writing_2011= Average Highest SAT Score: Writing, 2011AvgHi_SAT_Score_Combined_2012= Average Highest SAT Score: Combined, 2012AvgHi_SAT_Score_Math_2012= Average Highest SAT Score: Math, 2012AvgHi_SAT_Score_Reading_2012= Average Highest SAT Score: Reading, 2012AvgHi_SAT_Score_Writing_2012= Average Highest SAT Score: Writing, 2012AvgHi_SAT_Score_Combined_2013= Average Highest SAT Score: Combined, 2013AvgHi_SAT_Score_Math_2013= Average Highest SAT Score: Math, 2013AvgHi_SAT_Score_Reading_2013= Average Highest SAT Score: Reading, 2013AvgHi_SAT_Score_Writing_2013= Average Highest SAT Score: Writing, 2013AvgHi_SAT_Score_Combined_2014= Average Highest SAT Score: Combined, 2014AvgHi_SAT_Score_Math_2014= Average Highest SAT Score: Math, 2014AvgHi_SAT_Score_Reading_2014= Average Highest SAT Score: Reading, 2014AvgHi_SAT_Score_Writing_2014= Average Highest SAT Score: Writing, 2014AvgHi_SAT_Score_Combined_2015= Average Highest SAT Score: Combined, 2015AvgHi_SAT_Score_Math_2015= Average Highest SAT Score: Math, 2015AvgHi_SAT_Score_Reading_2015= Average Highest SAT Score: Reading, 2015AvgHi_SAT_Score_Writing_2015= Average Highest SAT Score: Writing, 2015AvgHi_SAT_Score_Combined_2016= Average Highest SAT Score: Combined, 2016AvgHi_SAT_Score_Math_2016= Average Highest SAT Score: Math, 2016AvgHi_SAT_Score_Reading_2016= Average Highest SAT Score: Reading, 2016AvgHi_SAT_Score_Writing_2016= Average Highest SAT Score: Writing, 2016- - - - - -Class2007_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2007Class2007_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2007Class2007_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2007Class2007_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2007Class2007_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2007Class2007_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2007Class2007_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2007Class2007_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2007Class2007_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2007Class2007_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2007Class2007_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2007Class2007_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2007Class2007_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2007- - - - - -Class2008_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2008Class2008_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2008Class2008_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2008Class2008_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2008Class2008_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2008Class2008_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2008Class2008_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2008Class2008_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2008Class2008_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2008Class2008_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2008Class2008_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2008Class2008_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2008Class2008_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2008- - - - - -Class2009_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2009Class2009_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2009Class2009_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2009Class2009_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2009Class2009_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2009Class2009_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2009Class2009_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2009Class2009_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2009Class2009_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2009Class2009_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2009Class2009_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2009Class2009_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2009Class2009_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2009- - - - - -Class2010_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2010Class2010_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2010Class2010_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2010Class2010_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2010Class2010_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2010Class2010_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2010Class2010_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2010Class2010_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2010Class2010_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2010Class2010_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2010Class2010_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2010Class2010_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2010Class2010_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2010- - - - - -Class2011_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2011Class2011_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2011Class2011_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2011Class2011_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2011Class2011_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2011Class2011_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2011Class2011_Pct_Earnd_Cert_5yrs= % Earned Certificate within 5 years, Class of 2011Class2011_Pct_Earnd_AA_5yrs= % Earned AA within 5 years, Class of 2011Class2011_Pct_Earnd_BA_5yrs= % Earned BA within 5 years, Class of 2011Class2011_Pct_Earnd_MAorHi_5yrs= % Earned MA or Higher within 5 years, Class of 2011Class2011_Pct_OtherCred_5yrs= % Other Credential within 5 years, Class of 2011Class2011_Pct_EnrollnoCred_5yrs= % Enrolled, no credential within 5 years, Class of 2011Class2011_Pct_Not_Enrolled_5yrs= % Not Enrolled within 5 years, Class of 2011- - - - - -Class2012_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2012Class2012_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2012Class2012_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2012Class2012_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2012Class2012_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2012Class2012_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2012- - - - - -Class2013_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2013Class2013_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2013Class2013_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2013Class2013_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2013Class2013_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2013Class2013_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2013- - - - - -Class2014_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2014Class2014_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2014Class2014_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2014Class2014_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2014Class2014_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2014Class2014_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2014- - - - - -Class2015_PctEnroll_privGA_1yr= % Enrolled in Georgia private college/university within 1 year, Class of 2015Class2015_PctEnroll_pubGA_1yr= % Enrolled in Georgia public college/university within 1 year, Class of 2015Class2015_PctEnroll_techGA_1yr= % Enrolled in Georgia public technical college within 1 year, Class of 2015Class2015_PctEnroll_outGA_1yr= % Enrolled in college/university outside of Georgia within 1 year, Class of 2015Class2015_Pct_Unknown_1yr= % Unknown status after 1 year, Class of 2015Class2015_PctWorkGAnoEnroll_1yr= % Working in Georgia, not enrolled in college within 1 year, Class of 2015- - - - - -Source: Governor’s Office of Student Achievement (GOSA)Dates: ACT test scores, graduation rates, HOPE scholarship eligibility, and SAT test scores: 2011-2016Students’ progress after high school: 2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Governor’s Office of Student Achievement (GOSA), Atlanta Regional Commission
Class2007_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_privGA_1yr
)
Class2007_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_pubGA_1yr
)
Class2007_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_techGA_1yr
)
Class2007_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctEnroll_outGA_1yr
)
Class2007_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Unknown_1yr
)
Class2007_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_PctWorkGAnoEnroll_1yr
)
Class2007_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_Cert_5yrs
)
Class2007_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_AA_5yrs
)
Class2007_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_BA_5yrs
)
Class2007_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Earnd_MAorHi_5yrs
)
Class2007_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_OtherCred_5yrs
)
Class2007_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_EnrollnoCred_5yrs
)
Class2007_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2007, editable: true, nullable: true, defaultValue: null, modelName: Class2007_Pct_Not_Enrolled_5yrs
)
Class2008_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_privGA_1yr
)
Class2008_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_pubGA_1yr
)
Class2008_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_techGA_1yr
)
Class2008_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctEnroll_outGA_1yr
)
Class2008_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Unknown_1yr
)
Class2008_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_PctWorkGAnoEnroll_1yr
)
Class2008_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_Cert_5yrs
)
Class2008_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_AA_5yrs
)
Class2008_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_BA_5yrs
)
Class2008_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Earnd_MAorHi_5yrs
)
Class2008_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_OtherCred_5yrs
)
Class2008_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_EnrollnoCred_5yrs
)
Class2008_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2008, editable: true, nullable: true, defaultValue: null, modelName: Class2008_Pct_Not_Enrolled_5yrs
)
Class2009_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_privGA_1yr
)
Class2009_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_pubGA_1yr
)
Class2009_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_techGA_1yr
)
Class2009_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctEnroll_outGA_1yr
)
Class2009_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Unknown_1yr
)
Class2009_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_PctWorkGAnoEnroll_1yr
)
Class2009_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_Cert_5yrs
)
Class2009_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_AA_5yrs
)
Class2009_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_BA_5yrs
)
Class2009_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Earnd_MAorHi_5yrs
)
Class2009_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_OtherCred_5yrs
)
Class2009_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_EnrollnoCred_5yrs
)
Class2009_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2009, editable: true, nullable: true, defaultValue: null, modelName: Class2009_Pct_Not_Enrolled_5yrs
)
Class2010_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_privGA_1yr
)
Class2010_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_pubGA_1yr
)
Class2010_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_techGA_1yr
)
Class2010_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctEnroll_outGA_1yr
)
Class2010_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Unknown_1yr
)
Class2010_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_PctWorkGAnoEnroll_1yr
)
Class2010_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_Cert_5yrs
)
Class2010_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_AA_5yrs
)
Class2010_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_BA_5yrs
)
Class2010_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Earnd_MAorHi_5yrs
)
Class2010_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_OtherCred_5yrs
)
Class2010_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_EnrollnoCred_5yrs
)
Class2010_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2010, editable: true, nullable: true, defaultValue: null, modelName: Class2010_Pct_Not_Enrolled_5yrs
)
Class2011_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_privGA_1yr
)
Class2011_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_pubGA_1yr
)
Class2011_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_techGA_1yr
)
Class2011_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctEnroll_outGA_1yr
)
Class2011_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Unknown_1yr
)
Class2011_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_PctWorkGAnoEnroll_1yr
)
Class2011_Pct_Earnd_Cert_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned Certificate within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_Cert_5yrs
)
Class2011_Pct_Earnd_AA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned AA within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_AA_5yrs
)
Class2011_Pct_Earnd_BA_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned BA within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_BA_5yrs
)
Class2011_Pct_Earnd_MAorHi_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Earned MA or Higher within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Earnd_MAorHi_5yrs
)
Class2011_Pct_OtherCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Other Credential within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_OtherCred_5yrs
)
Class2011_Pct_EnrollnoCred_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled, no credential within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_EnrollnoCred_5yrs
)
Class2011_Pct_Not_Enrolled_5yrs
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Not Enrolled within 5 years, Class of 2011, editable: true, nullable: true, defaultValue: null, modelName: Class2011_Pct_Not_Enrolled_5yrs
)
Class2012_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_privGA_1yr
)
Class2012_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_pubGA_1yr
)
Class2012_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_techGA_1yr
)
Class2012_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctEnroll_outGA_1yr
)
Class2012_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_Pct_Unknown_1yr
)
Class2012_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2012, editable: true, nullable: true, defaultValue: null, modelName: Class2012_PctWorkGAnoEnroll_1yr
)
Class2013_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_privGA_1yr
)
Class2013_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_pubGA_1yr
)
Class2013_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_techGA_1yr
)
Class2013_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctEnroll_outGA_1yr
)
Class2013_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_Pct_Unknown_1yr
)
Class2013_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2013, editable: true, nullable: true, defaultValue: null, modelName: Class2013_PctWorkGAnoEnroll_1yr
)
Class2014_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_privGA_1yr
)
Class2014_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_pubGA_1yr
)
Class2014_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_techGA_1yr
)
Class2014_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctEnroll_outGA_1yr
)
Class2014_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_Pct_Unknown_1yr
)
Class2014_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2014, editable: true, nullable: true, defaultValue: null, modelName: Class2014_PctWorkGAnoEnroll_1yr
)
Class2015_PctEnroll_privGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia private college/university within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_privGA_1yr
)
Class2015_PctEnroll_pubGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public college/university within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_pubGA_1yr
)
Class2015_PctEnroll_techGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in Georgia public technical college within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_techGA_1yr
)
Class2015_PctEnroll_outGA_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Enrolled in college/university outside of Georgia within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctEnroll_outGA_1yr
)
Class2015_Pct_Unknown_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Unknown status after 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_Pct_Unknown_1yr
)
Class2015_PctWorkGAnoEnroll_1yr
(
type: esriFieldTypeInteger, alias: Progress Post High School: % Working in Georgia, not enrolled in college within 1 year, Class of 2015, editable: true, nullable: true, defaultValue: null, modelName: Class2015_PctWorkGAnoEnroll_1yr
)
AvgHi_SAT_Score_Combined_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2011
)
AvgHi_SAT_Score_Math_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2011
)
AvgHi_SAT_Score_Reading_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2011
)
AvgHi_SAT_Score_Writing_2011
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2011, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2011
)
AvgHi_SAT_Score_Combined_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2012
)
AvgHi_SAT_Score_Math_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2012
)
AvgHi_SAT_Score_Reading_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2012
)
AvgHi_SAT_Score_Writing_2012
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2012, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2012
)
AvgHi_SAT_Score_Combined_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2013
)
AvgHi_SAT_Score_Math_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2013
)
AvgHi_SAT_Score_Reading_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2013
)
AvgHi_SAT_Score_Writing_2013
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2013, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2013
)
AvgHi_SAT_Score_Combined_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2014
)
AvgHi_SAT_Score_Math_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2014
)
AvgHi_SAT_Score_Reading_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2014
)
AvgHi_SAT_Score_Writing_2014
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2014, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2014
)
AvgHi_SAT_Score_Combined_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2015
)
AvgHi_SAT_Score_Math_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2015
)
AvgHi_SAT_Score_Reading_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2015
)
AvgHi_SAT_Score_Writing_2015
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2015, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2015
)
AvgHi_SAT_Score_Combined_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Combined, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Combined_2016
)
AvgHi_SAT_Score_Math_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Math, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Math_2016
)
AvgHi_SAT_Score_Reading_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Reading, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Reading_2016
)
AvgHi_SAT_Score_Writing_2016
(
type: esriFieldTypeInteger, alias: Average Highest SAT Score: Writing, 2016, editable: true, nullable: true, defaultValue: null, modelName: AvgHi_SAT_Score_Writing_2016
)
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Dept. of Labor (DOL) and U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program to show employment data by type and sector. Data from GA DOL includes estimates of employment in each economic sector by census tract in the Atlanta Region for the years 2010 and 2012. Economic sectors correspond with those established by NAICS (North American Industry Classification System). Datasets from LEHD show total number of jobs + workers and job + worker characteristics including sector (using same NAICS classifications), worker age, and earnings, for 2014 and 2015, as well as change data from 2002-2015. All data are given by census tract, for the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -Attributes from GA DOL:AG_FORS_FISH_HUNT_JOBS_2012 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2012MINING_JOBS_2012 = Mining Jobs, 2012UTILITIES_JOBS_2012 = Utilities Sector Jobs, 2012CONSTRUCTION_JOBS_2012 = Construction Jobs, 2012MANUFACT_NON_DUR_JOBS_2012 = Manufacturing – Non-Durable Jobs, 2012MANUFACT_DURABLE_JOBS_2012 = Manufacturing – Durable Jobs, 2012WHOLESALE_TRADE_JOBS_2012 = Wholesale Trade Jobs, 2012RETAIL_TRADE_JOBS_2012 = Retail Trade Jobs, 2012TRANSPORT_WAREHSE_JOBS_2012 = Transportation & Warehousing Jobs, 2012INFORMATION_JOBS_2012 = Information Jobs, 2012FINANCE_JOBS_2012 = Finance Jobs, 2012REAL_ESTATE_JOBS_2012 = Real Estate, Rental, and Leasing Jobs, 2012PROF_SCI_TECH_JOBS_2012 = Professional, Scientific, and Technical Services Jobs, 2012MANAGEMENT_JOBS_2012 = Management of Companies Jobs, 2012ADMIN_WASTE_MGMT_JOBS_2012 = Administrative/Waste Management Jobs, 2012EDUCATION_SERVICE_JOBS_2012 = Educational Services Jobs, 2012HEALTH_SOCIAL_JOBS_2012 = Health & Social Assistance Jobs, 2012ARTS_ENT_REC_JOBS_2012 = Arts, Entertainment, & Recreation Jobs, 2012ACCOMMODATE_FOOD_JOBS_2012 = Accommodation and Food Services Jobs, 2012OTH_SERV_NOT_PUB_JOBS_2012 = Other Services (Not Pub. Admin) Jobs, 2012PUBLIC_ADMIN_JOBS_2012 = Public Administration Jobs, 2012OTHER_UNCLASS_JOBS_2012 = Other, Unclassified Sector Jobs, 2012PCT_AG_FORS_FISH_HUNT_JOBS_2012 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2012PCT_MINING_JOBS_2012 = Percent, Mining Jobs, 2012PCT_UTILITIES_JOBS_2012 = Percent, Utilities Sector Jobs, 2012PCT_CONSTRUCTION_JOBS_2012 = Percent, Construction Jobs, 2012PCT_MANUFACT_NON_DUR_JOBS_2012 = Percent, Manufacturing – Non-Durable Jobs, 2012PCT_MANUFACT_DURABLE_JOBS_2012 = Percent, Manufacturing – Durable Jobs, 2012PCT_WHOLESALE_TRADE_JOBS_2012 = Percent, Wholesale Trade Jobs, 2012PCT_RETAIL_TRADE_JOBS_2012 = Percent, Retail Trade Jobs, 2012PCT_TRANSPORT_WAREHSE_JOBS_2012 = Percent, Transportation & Warehousing Jobs, 2012PCT_INFORMATION_JOBS_2012 = Percent, Information Jobs, 2012PCT_FINANCE_JOBS_2012 = Percent, Finance Jobs, 2012PCT_REAL_ESTATE_JOBS_2012 = Percent, Real Estate, Rental, and Leasing Jobs, 2012PCT_PROF_SCI_TECH_JOBS_2012 = Percent, Professional, Scientific, and Technical Services Jobs, 2012PCT_MANAGEMENT_JOBS_2012 = Percent, Management of Companies Jobs, 2012PCT_ADMIN_WASTE_MGMT_JOBS_2012 = Percent, Administrative/Waste Management Jobs, 2012PCT_EDUCATION_SERVICE_JOBS_2012 = Percent, Educational Services Jobs, 2012PCT_HEALTH_SOCIAL_JOBS_2012 = Percent, Health & Social Assistance Jobs, 2012PCT_ARTS_ENT_REC_JOBS_2012 = Percent, Arts, Entertainment, & Recreation Jobs, 2012PCT_ACCOMMODATE_FOOD_JOBS_2012 = Percent, Accommodation and Food Services Jobs, 2012PCT_OTH_SERV_NOT_PUB_JOBS_2012 = Percent, Other Services (Not Pub. Admin) Jobs, 2012PCT_PUBLIC_ADMIN_JOBS_2012 = Percent, Public Administration Jobs, 2012PCT_OTHER_UNCLASS_JOBS_2012 = Percent, Other, Unclassified Sector Jobs, 2012AG_FORS_FISH_HUNT_JOBS_2010 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2010MINING_JOBS_2010 = Mining Jobs, 2010UTILITIES_JOBS_2010 = Utilities Sector Jobs, 2010CONSTRUCTION_JOBS_2010 = Construction Jobs, 2010MANUFACT_NON_DUR_JOBS_2010 = Manufacturing – Non-Durable Jobs, 2010MANUFACT_DURABLE_JOBS_2010 = Manufacturing – Durable Jobs, 2010WHOLESALE_TRADE_JOBS_2010 = Wholesale Trade Jobs, 2010RETAIL_TRADE_JOBS_2010 = Retail Trade Jobs, 2010TRANSPORT_WAREHSE_JOBS_2010 = Transportation & Warehousing Jobs, 2010INFORMATION_JOBS_2010 = Information Jobs, 2010FINANCE_JOBS_2010 = Finance Jobs, 2010REAL_ESTATE_JOBS_2010 = Real Estate, Rental, and Leasing Jobs, 2010PROF_SCI_TECH_JOBS_2010 = Professional, Scientific, and Technical Services Jobs, 2010MANAGEMENT_JOBS_2010 = Management of Companies Jobs, 2010ADMIN_WASTE_MGMT_JOBS_2010 = Administrative/Waste Management Jobs, 2010EDUCATION_SERVICE_JOBS_2010 = Educational Services Jobs, 2010HEALTH_SOCIAL_JOBS_2010 = Health & Social Assistance Jobs, 2010ARTS_ENT_REC_JOBS_2010 = Arts, Entertainment, & Recreation Jobs, 2010ACCOMMODATE_FOOD_JOBS_2010 = Accommodation and Food Services Jobs, 2010OTH_SERV_NOT_PUB_JOBS_2010 = Other Services (Not Pub. Admin) Jobs, 2010PUBLIC_ADMIN_JOBS_2010 = Public Administration Jobs, 2010OTHER_UNCLASS_JOBS_2010 = Other, Unclassified Sector Jobs, 2010PCT_AG_FORS_FISH_HUNT_JOBS_2010 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2010PCT_MINING_JOBS_2010 = Percent, Mining Jobs, 2010PCT_UTILITIES_JOBS_2010 = Percent, Utilities Sector Jobs, 2010PCT_CONSTRUCTION_JOBS_2010 = Percent, Construction Jobs, 2010PCT_MANUFACT_NON_DUR_JOBS_2010 = Percent, Manufacturing – Non-Durable Jobs, 2010PCT_MANUFACT_DURABLE_JOBS_2010 = Percent, Manufacturing – Durable Jobs, 2010PCT_WHOLESALE_TRADE_JOBS_2010 = Percent, Wholesale Trade Jobs, 2010PCT_RETAIL_TRADE_JOBS_2010 = Percent, Retail Trade Jobs, 2010PCT_TRANSPORT_WAREHSE_JOBS_2010 = Percent, Transportation & Warehousing Jobs, 2010PCT_INFORMATION_JOBS_20120 = Percent, Information Jobs, 2010PCT_FINANCE_JOBS_2010 = Percent, Finance Jobs, 2010PCT_REAL_ESTATE_JOBS_2010 = Percent, Real Estate, Rental, and Leasing Jobs, 2010PCT_PROF_SCI_TECH_JOBS_2010 = Percent, Professional, Scientific, and Technical Services Jobs, 2010PCT_MANAGEMENT_JOBS_2010 = Percent, Management of Companies Jobs, 2010PCT_ADMIN_WASTE_MGMT_JOBS_2010 = Percent, Administrative/Waste Management Jobs, 2010PCT_EDUCATION_SERVICE_JOBS_2010 = Percent, Educational Services Jobs, 2010PCT_HEALTH_SOCIAL_JOBS_2010 = Percent, Health & Social Assistance Jobs, 2010PCT_ARTS_ENT_REC_JOBS_2010 = Percent, Arts, Entertainment, & Recreation Jobs, 2010PCT_ACCOMMODATE_FOOD_JOBS_2010 = Percent, Accommodation and Food Services Jobs, 2010PCT_OTH_SERV_NOT_PUB_JOBS_2010 = Percent, Other Services (Not Pub. Admin) Jobs, 2010PCT_PUBLIC_ADMIN_JOBS_2010 = Percent, Public Administration Jobs, 2010PCT_OTHER_UNCLASS_JOBS_2010 = Percent, Other, Unclassified Sector Jobs, 2010- - - - - -Attributes from LEHD:TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_PER_SQ_MILE_2014 = Jobs per Square Mile, 2014JOB_TO_WORKER_RATIO_2014 = Job to Worker Ratio, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014PCT_JOBS_AGE_29_YNGR_2014 = % Jobs for workers age 29 or younger, 2014PCT_JOBS_AGE_30_54_2014 = % Jobs for workers age 30 to 54, 2014PCT_JOBS_AGE_55_OLDR_2014 = % Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014PCT_JOBS_EARN_1250_MO_LESS_2014 = % Jobs with earnings $1250/month or less, 2014PCT_JOBS_EARN_1251_3333_MO_2014 = % Jobs with earnings $1251/month to $3333/month, 2014PCT_JOBS_EARN_MORE_3333_MO_2014 = % Jobs with earnings greater than $3333/month, 2014- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -TOTAL_JOBS_2015 = Total number of jobs, 2015JOBS_PER_SQ_MILE_2015 = Jobs per Square Mile, 2015JOB_TO_WORKER_RATIO_2015 = Job to Worker Ratio, 2015JOBS_AGE_29_YNGR_2015 = # Jobs for workers age 29 or younger, 2015JOBS_AGE_30_54_2015 = # Jobs for workers age 30 to 54, 2015JOBS_AGE_55_OLDR_2015 = # Jobs for workers age 55 or older, 2015JOBS_EARN_1250_MO_LESS_2015 = # Jobs with earnings $1250/month or less, 2015JOBS_EARN_1251_3333_MO_2015 = # Jobs with earnings $1251/month to $3333/month, 2015JOBS_EARN_MORE_3333_MO_2015 = # Jobs with earnings greater than $3333/month, 2015PCT_JOBS_AGE_29_YNGR_2015 = % Jobs for workers age 29 or younger, 2015PCT_JOBS_AGE_30_54_2015 = % Jobs for workers age 30 to 54, 2015PCT_JOBS_AGE_55_OLDR_2015 = % Jobs for workers age 55 or older, 2015PCT_JOBS_EARN_1250_MO_LESS_2015 = % Jobs with earnings $1250/month or less, 2015PCT_JOBS_EARN_1251_3333_MO_2015 = % Jobs with earnings $1251/month to $3333/month, 2015PCT_JOBS_EARN_MORE_3333_MO_2015 = % Jobs with earnings greater than $3333/month, 2015- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2015 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015JOBS_NAICS_21_MINE_OIL_GAS_2015 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015JOBS_NAICS_22_UTILITIES_2015 = # Jobs NAICS 22 (Utilities), 2015JOBS_NAICS_23_CONSTRUCTION_2015 = # Jobs NAICS 23 (Construction), 2015JOBS_NAICS_31_33_MANUFACT_2015 = # Jobs NAICS 31-33 (Manufacturing), 2015JOBS_NAICS_42_WHOLESALE_2015 = # Jobs NAICS 42 (Wholesale Trade), 2015JOBS_NAICS_44_45_RETAIL_2015 = # Jobs NAICS 44-45 (Retail Trade), 2015JOBS_NAICS_48_49_TRANS_WHS_2015 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2015JOBS_NAICS_51_INFORMATION_2015 = # Jobs NAICS 51 (Information), 2015JOBS_NAICS_52_FINANCE_INS_2015 = # Jobs NAICS 52 (Finance and Insurance), 2015JOBS_NAICS_53_REAL_ESTATE_2015 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2015JOBS_NAICS_54_PRO_SCI_TECH_2015 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2015JOBS_NAICS_55_MANAGEMENT_2015 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2015JOBS_NAICS_56_ADMIN_WASTE_2015 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015JOBS_NAICS_61_EDUCATION_2015 = # Jobs NAICS 61 (Educational Services), 2015JOBS_NAICS_62_HEALTH_SOC_2015 = # Jobs NAICS 62 (Health Care and Social Assistance), 2015JOBS_NAICS_71_ARTS_ENT_REC_2015 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2015JOBS_NAICS_72_ACCOMM_FOOD_2015 = # Jobs NAICS 72 (Accommodation and Food Services), 2015JOBS_NAICS_81_OTHER_SERV_2015 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2015JOBS_NAICS_92_PUBLIC_ADMIN_2015 = # Jobs NAICS 92 (Public Administration), 2015- - - - - -CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_15 = Change in # of jobs, 2010-2015CHNG_JOBS_AGE_29_YNGR_2010_15 = Change in # of jobs for workers age 29 or younger, 2010-2015CHNG_JOBS_AGE_30_54_2010_15 = Change in # of jobs for workers age 30 to 54, 2010-2015CHNG_JOBS_AGE_55_OLDR_2010_15 = Change in # of jobs for workers age 55 or older, 2010-2015CHNG_JOBS_1250_LESS_2010_15 = Change in # of jobs with earnings $1250/month or less, 2010-2015CHNG_JOBS_1251_3333_2010_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_JOBS_3333_MORE_2010_15 = Change in # of jobs with earnings greater than $3333/month, 2010-2015CHNG_PCT_JOBS_29_YNGR_2010_15 = Change in % of jobs for workers age 29 or younger, 2010-2015CHNG_PCT_JOBS_30_54_2010_15 = Change in % of jobs for workers age 30 to 54, 2010-2015CHNG_PCT_JOBS_55_OLDR_2010_15 = Change in % of jobs for workers age 55 or older, 2010-2015CHNG_PCT_JOBS_1250_LESS_2010_15 = Change in % of jobs with earnings $1250/month or less, 2010-2015CHNG_PCT_JOBS_1251_3333_2010_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_PCT_JOBS_3333_MORE_2010_15 = Change in % of jobs with earnings greater than $3333/month, 2010-2015CHNG_JOBS_2002_15 = Change in # of jobs, 2002-2015CHNG_JOBS_AGE_29_YNGR_2002_15 = Change in # of jobs for workers age 29 or younger, 2002-2015CHNG_JOBS_AGE_30_54_2002_15 = Change in # of jobs for workers age 30 to 54, 2002-2015CHNG_JOBS_AGE_55_OLDR_2002_15 = Change in # of jobs for workers age 55 or older, 2002-2015CHNG_JOBS_1250_LESS_2002_15 = Change in # of jobs with earnings $1250/month or less, 2002-2015CHNG_JOBS_1251_3333_2002_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_JOBS_3333_MORE_2002_15 = Change in # of jobs with earnings greater than $3333/month, 2002-2015CHNG_PCT_JOBS_29_YNGR_2002_15 = Change in % of jobs for workers age 29 or younger, 2002-2015CHNG_PCT_JOBS_30_54_2002_15 = Change in % of jobs for workers age 30 to 54, 2002-2015CHNG_PCT_JOBS_55_OLDR_2002_15 = Change in % of jobs for workers age 55 or older, 2002-2015CHNG_PCT_JOBS_1250_LESS_2002_15 = Change in % of jobs with earnings $1250/month or less, 2002-2015CHNG_PCT_JOBS_1251_3333_2002_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_PCT_JOBS_3333_MORE_2002_15 = Change in % of jobs with earnings greater than $3333/month, 2002-2015- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_PER_SQ_MILE_2014 = Workers per Square Mile, 2014WORKER_TO_JOB_RATIO_2014 = Worker to Job Ratio, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014PCT_WRKRS_AGE_29_YNGR_2014 = % Workers age 29 or younger, 2014PCT_WRKRS_AGE_30_54_2014 = % Workers age 30 to 54, 2014PCT_WRKRS_AGE_55_OLDR_2014 = % Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014PCT_WRKRS_ERN_1250_MO_LESS_2014 = % Workers earning $1250/month or less, 2014PCT_WRKRS_ERN_1251_3333_MO_2014 = % Workers earning $1251/month to $3333/month, 2014PCT_WRKRS_ERN_MORE_3333_MO_2014 = % Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -TOTAL_WRKRS_2015 = Total number of workers, 2015WRKRS_PER_SQ_MILE_2015 = Workers per Square Mile, 2015WORKER_TO_JOB_RATIO_2015 = Worker to Job Ratio, 2015WRKRS_AGE_29_YNGR_2015 = # Workers age 29 or younger, 2015WRKRS_AGE_30_54_2015 = # Workers age 30 to 54, 2015WRKRS_AGE_55_OLDR_2015 = # Workers age 55 or older, 2015WRKRS_EARN_1250_MO_LESS_2015 = # Workers earning $1250/month or less, 2015WRKRS_EARN_1251_3333_MO_2015 = # Workers earning $1251/month to $3333/month, 2015WRKRS_EARN_MORE_3333_MO_2015 = # Workers earning greater than $3333/month, 2015PCT_WRKRS_AGE_29_YNGR_2015 = % Workers age 29 or younger, 2015PCT_WRKRS_AGE_30_54_2015 = % Workers age 30 to 54, 2015PCT_WRKRS_AGE_55_OLDR_2015 = % Workers age 55 or older, 2015PCT_WRKRS_ERN_1250_MO_LESS_2015 = % Workers earning $1250/month or less, 2015PCT_WRKRS_ERN_1251_3333_MO_2015 = % Workers earning $1251/month to $3333/month, 2015PCT_WRKRS_ERN_MORE_3333_MO_2015 = % Workers earning greater than $3333/month, 2015WRKRS_NAICS_11_AG_FOR_FISH_2015 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015WRKRS_NAICS_21_MIN_OIL_GAS_2015 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015WRKRS_NAICS_22_UTILITIES_2015 = # Workers NAICS 22 (Utilities), 2015WRKRS_NAICS_23_CONSTRUCT_2015 = # Workers NAICS 23 (Construction), 2015WRKRS_NAICS_31_33_MANUFACT_2015 = # Workers NAICS 31-33 (Manufacturing), 2015WRKRS_NAICS_42_WHOLESALE_2015 = # Workers NAICS 42 (Wholesale Trade), 2015WRKRS_NAICS_44_45_RETAIL_2015 = # Workers NAICS 44-45 (Retail Trade), 2015WRKRS_NAICS_48_49_TRANS_WH_2015 = # Workers NAICS 48-49 (Transportation and Warehousing), 2015WRKRS_NAICS_51_INFORMATION_2015 = # Workers NAICS 51 (Information), 2015WRKRS_NAICS_52_FINANCE_INS_2015 = # Workers NAICS 52 (Finance and Insurance), 2015WRKRS_NAICS_53_REAL_ESTATE_2015 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2015WRKRS_NAICS_54_PRO_SCI_TEC_2015 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2015WRKRS_NAICS_55_MANAGEMENT_2015 = # Workers NAICS 55 (Management of Companies and Enterprises), 2015WRKRS_NAICS_56_ADMIN_WASTE_2015 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015WRKRS_NAICS_61_EDUCATION_2015 = # Workers NAICS 61 (Educational Services), 2015WRKRS_NAICS_62_HEALTH_SOC_2015 = # Workers NAICS 62 (Health Care and Social Assistance), 2015WRKRS_NAICS_71_ART_ENT_REC_2015 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2015WRKRS_NAICS_72_ACCOMM_FOOD_2015 = # Workers NAICS 72 (Accommodation and Food Services), 2015WRKRS_NAICS_81_OTHER_SERV_2015 = # Workers NAICS 81 (Other Services [except Public Administration]), 2015WRKRS_NAICS_92_PUB_ADMIN_2015 = # Workers NAICS 92 (Public Administration), 2015- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_15 = Change in # of workers, 2010-2015CHG_WRKRS_AGE_29_YNGR_2010_15 = Change in # of workers age 29 or younger, 2010-2015CHG_WRKRS_AGE_30_54_2010_15 = Change in # of workers age 30 to 54, 2010-2015CHG_WRKRS_AGE_55_OLDR_2010_15 = Change in # of workers age 55 or older, 2010-2015CHG_WRKRS_1250_LESS_2010_15 = Change in # of workers with earnings $1250/month or less, 2010-2015CHG_WRKRS_1251_3333_2010_15 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2015CHG_WRKRS_3333_MORE_2010_15 = Change in # of workers with earnings greater than $3333/month, 2010-2015CHG_PCT_WRKRS_29_YNGR_2010_15 = Change in % of workers age 29 or younger, 2010-2015CHG_PCT_WRKRS_30_54_2010_15 = Change in % of workers age 30 to 54, 2010-2015CHG_PCT_WRKRS_55_OLDR_2010_15 = Change in % of workers age 55 or older, 2010-2015CHG_PCT_WRKRS_1250_LESS_2010_15 = Change in % of workers with earnings $1250/month or less, 2010-2015CHG_PCT_WRKRS_1251_3333_2010_15 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2015CHG_PCT_WRKRS_3333_MORE_2010_15 = Change in % of workers with earnings greater than $3333/month, 2010-2015CHANGE_WORKERS_2002_15 = Change in # of workers, 2002-2015CHG_WRKRS_AGE_29_YNGR_2002_15 = Change in # of workers age 29 or younger, 2002-2015CHG_WRKRS_AGE_30_54_2002_15 = Change in # of workers age 30 to 54, 2002-2015CHG_WRKRS_AGE_55_OLDR_2002_15 = Change in # of workers age 55 or older, 2002-2015CHG_WRKRS_1250_LESS_2002_15 = Change in # of workers with earnings $1250/month or less, 2002-2015CHG_WRKRS_1251_3333_2002_15 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2015CHG_WRKRS_3333_MORE_2002_15 = Change in # of workers with earnings greater than $3333/month, 2002-2015CHG_PCT_WRKRS_29_YNGR_2002_15 = Change in % of workers age 29 or younger, 2002-2015CHG_PCT_WRKRS_30_54_2002_15 = Change in % of workers age 30 to 54, 2002-2015CHG_PCT_WRKRS_55_OLDR_2002_15 = Change in % of workers age 55 or older, 2002-2015CHG_PCT_WRKRS_1250_LESS_2002_15 = Change in % of workers with earnings $1250/month or less, 2002-2015CHG_PCT_WRKRS_1251_3333_2002_15 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2015CHG_PCT_WRKRS_3333_MORE_2002_15 = Change in % of workers with earnings greater than $3333/month, 2002-2015- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional CommissionDate: GA DOL: 2010-2012; LEHD: 2002-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Dept. of Labor (DOL) and U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program to show employment data by type and sector. Data from GA DOL includes estimates of employment in each economic sector by census tract in the Atlanta Region for the years 2010 and 2012. Economic sectors correspond with those established by NAICS (North American Industry Classification System). Datasets from LEHD show total number of jobs + workers and job + worker characteristics including sector (using same NAICS classifications), worker age, and earnings, for 2014 and 2015, as well as change data from 2002-2015. All data are given by census tract, for the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -Attributes from GA DOL:AG_FORS_FISH_HUNT_JOBS_2012 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2012MINING_JOBS_2012 = Mining Jobs, 2012UTILITIES_JOBS_2012 = Utilities Sector Jobs, 2012CONSTRUCTION_JOBS_2012 = Construction Jobs, 2012MANUFACT_NON_DUR_JOBS_2012 = Manufacturing – Non-Durable Jobs, 2012MANUFACT_DURABLE_JOBS_2012 = Manufacturing – Durable Jobs, 2012WHOLESALE_TRADE_JOBS_2012 = Wholesale Trade Jobs, 2012RETAIL_TRADE_JOBS_2012 = Retail Trade Jobs, 2012TRANSPORT_WAREHSE_JOBS_2012 = Transportation & Warehousing Jobs, 2012INFORMATION_JOBS_2012 = Information Jobs, 2012FINANCE_JOBS_2012 = Finance Jobs, 2012REAL_ESTATE_JOBS_2012 = Real Estate, Rental, and Leasing Jobs, 2012PROF_SCI_TECH_JOBS_2012 = Professional, Scientific, and Technical Services Jobs, 2012MANAGEMENT_JOBS_2012 = Management of Companies Jobs, 2012ADMIN_WASTE_MGMT_JOBS_2012 = Administrative/Waste Management Jobs, 2012EDUCATION_SERVICE_JOBS_2012 = Educational Services Jobs, 2012HEALTH_SOCIAL_JOBS_2012 = Health & Social Assistance Jobs, 2012ARTS_ENT_REC_JOBS_2012 = Arts, Entertainment, & Recreation Jobs, 2012ACCOMMODATE_FOOD_JOBS_2012 = Accommodation and Food Services Jobs, 2012OTH_SERV_NOT_PUB_JOBS_2012 = Other Services (Not Pub. Admin) Jobs, 2012PUBLIC_ADMIN_JOBS_2012 = Public Administration Jobs, 2012OTHER_UNCLASS_JOBS_2012 = Other, Unclassified Sector Jobs, 2012PCT_AG_FORS_FISH_HUNT_JOBS_2012 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2012PCT_MINING_JOBS_2012 = Percent, Mining Jobs, 2012PCT_UTILITIES_JOBS_2012 = Percent, Utilities Sector Jobs, 2012PCT_CONSTRUCTION_JOBS_2012 = Percent, Construction Jobs, 2012PCT_MANUFACT_NON_DUR_JOBS_2012 = Percent, Manufacturing – Non-Durable Jobs, 2012PCT_MANUFACT_DURABLE_JOBS_2012 = Percent, Manufacturing – Durable Jobs, 2012PCT_WHOLESALE_TRADE_JOBS_2012 = Percent, Wholesale Trade Jobs, 2012PCT_RETAIL_TRADE_JOBS_2012 = Percent, Retail Trade Jobs, 2012PCT_TRANSPORT_WAREHSE_JOBS_2012 = Percent, Transportation & Warehousing Jobs, 2012PCT_INFORMATION_JOBS_2012 = Percent, Information Jobs, 2012PCT_FINANCE_JOBS_2012 = Percent, Finance Jobs, 2012PCT_REAL_ESTATE_JOBS_2012 = Percent, Real Estate, Rental, and Leasing Jobs, 2012PCT_PROF_SCI_TECH_JOBS_2012 = Percent, Professional, Scientific, and Technical Services Jobs, 2012PCT_MANAGEMENT_JOBS_2012 = Percent, Management of Companies Jobs, 2012PCT_ADMIN_WASTE_MGMT_JOBS_2012 = Percent, Administrative/Waste Management Jobs, 2012PCT_EDUCATION_SERVICE_JOBS_2012 = Percent, Educational Services Jobs, 2012PCT_HEALTH_SOCIAL_JOBS_2012 = Percent, Health & Social Assistance Jobs, 2012PCT_ARTS_ENT_REC_JOBS_2012 = Percent, Arts, Entertainment, & Recreation Jobs, 2012PCT_ACCOMMODATE_FOOD_JOBS_2012 = Percent, Accommodation and Food Services Jobs, 2012PCT_OTH_SERV_NOT_PUB_JOBS_2012 = Percent, Other Services (Not Pub. Admin) Jobs, 2012PCT_PUBLIC_ADMIN_JOBS_2012 = Percent, Public Administration Jobs, 2012PCT_OTHER_UNCLASS_JOBS_2012 = Percent, Other, Unclassified Sector Jobs, 2012AG_FORS_FISH_HUNT_JOBS_2010 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2010MINING_JOBS_2010 = Mining Jobs, 2010UTILITIES_JOBS_2010 = Utilities Sector Jobs, 2010CONSTRUCTION_JOBS_2010 = Construction Jobs, 2010MANUFACT_NON_DUR_JOBS_2010 = Manufacturing – Non-Durable Jobs, 2010MANUFACT_DURABLE_JOBS_2010 = Manufacturing – Durable Jobs, 2010WHOLESALE_TRADE_JOBS_2010 = Wholesale Trade Jobs, 2010RETAIL_TRADE_JOBS_2010 = Retail Trade Jobs, 2010TRANSPORT_WAREHSE_JOBS_2010 = Transportation & Warehousing Jobs, 2010INFORMATION_JOBS_2010 = Information Jobs, 2010FINANCE_JOBS_2010 = Finance Jobs, 2010REAL_ESTATE_JOBS_2010 = Real Estate, Rental, and Leasing Jobs, 2010PROF_SCI_TECH_JOBS_2010 = Professional, Scientific, and Technical Services Jobs, 2010MANAGEMENT_JOBS_2010 = Management of Companies Jobs, 2010ADMIN_WASTE_MGMT_JOBS_2010 = Administrative/Waste Management Jobs, 2010EDUCATION_SERVICE_JOBS_2010 = Educational Services Jobs, 2010HEALTH_SOCIAL_JOBS_2010 = Health & Social Assistance Jobs, 2010ARTS_ENT_REC_JOBS_2010 = Arts, Entertainment, & Recreation Jobs, 2010ACCOMMODATE_FOOD_JOBS_2010 = Accommodation and Food Services Jobs, 2010OTH_SERV_NOT_PUB_JOBS_2010 = Other Services (Not Pub. Admin) Jobs, 2010PUBLIC_ADMIN_JOBS_2010 = Public Administration Jobs, 2010OTHER_UNCLASS_JOBS_2010 = Other, Unclassified Sector Jobs, 2010PCT_AG_FORS_FISH_HUNT_JOBS_2010 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2010PCT_MINING_JOBS_2010 = Percent, Mining Jobs, 2010PCT_UTILITIES_JOBS_2010 = Percent, Utilities Sector Jobs, 2010PCT_CONSTRUCTION_JOBS_2010 = Percent, Construction Jobs, 2010PCT_MANUFACT_NON_DUR_JOBS_2010 = Percent, Manufacturing – Non-Durable Jobs, 2010PCT_MANUFACT_DURABLE_JOBS_2010 = Percent, Manufacturing – Durable Jobs, 2010PCT_WHOLESALE_TRADE_JOBS_2010 = Percent, Wholesale Trade Jobs, 2010PCT_RETAIL_TRADE_JOBS_2010 = Percent, Retail Trade Jobs, 2010PCT_TRANSPORT_WAREHSE_JOBS_2010 = Percent, Transportation & Warehousing Jobs, 2010PCT_INFORMATION_JOBS_20120 = Percent, Information Jobs, 2010PCT_FINANCE_JOBS_2010 = Percent, Finance Jobs, 2010PCT_REAL_ESTATE_JOBS_2010 = Percent, Real Estate, Rental, and Leasing Jobs, 2010PCT_PROF_SCI_TECH_JOBS_2010 = Percent, Professional, Scientific, and Technical Services Jobs, 2010PCT_MANAGEMENT_JOBS_2010 = Percent, Management of Companies Jobs, 2010PCT_ADMIN_WASTE_MGMT_JOBS_2010 = Percent, Administrative/Waste Management Jobs, 2010PCT_EDUCATION_SERVICE_JOBS_2010 = Percent, Educational Services Jobs, 2010PCT_HEALTH_SOCIAL_JOBS_2010 = Percent, Health & Social Assistance Jobs, 2010PCT_ARTS_ENT_REC_JOBS_2010 = Percent, Arts, Entertainment, & Recreation Jobs, 2010PCT_ACCOMMODATE_FOOD_JOBS_2010 = Percent, Accommodation and Food Services Jobs, 2010PCT_OTH_SERV_NOT_PUB_JOBS_2010 = Percent, Other Services (Not Pub. Admin) Jobs, 2010PCT_PUBLIC_ADMIN_JOBS_2010 = Percent, Public Administration Jobs, 2010PCT_OTHER_UNCLASS_JOBS_2010 = Percent, Other, Unclassified Sector Jobs, 2010- - - - - -Attributes from LEHD:TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_PER_SQ_MILE_2014 = Jobs per Square Mile, 2014JOB_TO_WORKER_RATIO_2014 = Job to Worker Ratio, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014PCT_JOBS_AGE_29_YNGR_2014 = % Jobs for workers age 29 or younger, 2014PCT_JOBS_AGE_30_54_2014 = % Jobs for workers age 30 to 54, 2014PCT_JOBS_AGE_55_OLDR_2014 = % Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014PCT_JOBS_EARN_1250_MO_LESS_2014 = % Jobs with earnings $1250/month or less, 2014PCT_JOBS_EARN_1251_3333_MO_2014 = % Jobs with earnings $1251/month to $3333/month, 2014PCT_JOBS_EARN_MORE_3333_MO_2014 = % Jobs with earnings greater than $3333/month, 2014- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -TOTAL_JOBS_2015 = Total number of jobs, 2015JOBS_PER_SQ_MILE_2015 = Jobs per Square Mile, 2015JOB_TO_WORKER_RATIO_2015 = Job to Worker Ratio, 2015JOBS_AGE_29_YNGR_2015 = # Jobs for workers age 29 or younger, 2015JOBS_AGE_30_54_2015 = # Jobs for workers age 30 to 54, 2015JOBS_AGE_55_OLDR_2015 = # Jobs for workers age 55 or older, 2015JOBS_EARN_1250_MO_LESS_2015 = # Jobs with earnings $1250/month or less, 2015JOBS_EARN_1251_3333_MO_2015 = # Jobs with earnings $1251/month to $3333/month, 2015JOBS_EARN_MORE_3333_MO_2015 = # Jobs with earnings greater than $3333/month, 2015PCT_JOBS_AGE_29_YNGR_2015 = % Jobs for workers age 29 or younger, 2015PCT_JOBS_AGE_30_54_2015 = % Jobs for workers age 30 to 54, 2015PCT_JOBS_AGE_55_OLDR_2015 = % Jobs for workers age 55 or older, 2015PCT_JOBS_EARN_1250_MO_LESS_2015 = % Jobs with earnings $1250/month or less, 2015PCT_JOBS_EARN_1251_3333_MO_2015 = % Jobs with earnings $1251/month to $3333/month, 2015PCT_JOBS_EARN_MORE_3333_MO_2015 = % Jobs with earnings greater than $3333/month, 2015- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2015 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015JOBS_NAICS_21_MINE_OIL_GAS_2015 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015JOBS_NAICS_22_UTILITIES_2015 = # Jobs NAICS 22 (Utilities), 2015JOBS_NAICS_23_CONSTRUCTION_2015 = # Jobs NAICS 23 (Construction), 2015JOBS_NAICS_31_33_MANUFACT_2015 = # Jobs NAICS 31-33 (Manufacturing), 2015JOBS_NAICS_42_WHOLESALE_2015 = # Jobs NAICS 42 (Wholesale Trade), 2015JOBS_NAICS_44_45_RETAIL_2015 = # Jobs NAICS 44-45 (Retail Trade), 2015JOBS_NAICS_48_49_TRANS_WHS_2015 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2015JOBS_NAICS_51_INFORMATION_2015 = # Jobs NAICS 51 (Information), 2015JOBS_NAICS_52_FINANCE_INS_2015 = # Jobs NAICS 52 (Finance and Insurance), 2015JOBS_NAICS_53_REAL_ESTATE_2015 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2015JOBS_NAICS_54_PRO_SCI_TECH_2015 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2015JOBS_NAICS_55_MANAGEMENT_2015 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2015JOBS_NAICS_56_ADMIN_WASTE_2015 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015JOBS_NAICS_61_EDUCATION_2015 = # Jobs NAICS 61 (Educational Services), 2015JOBS_NAICS_62_HEALTH_SOC_2015 = # Jobs NAICS 62 (Health Care and Social Assistance), 2015JOBS_NAICS_71_ARTS_ENT_REC_2015 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2015JOBS_NAICS_72_ACCOMM_FOOD_2015 = # Jobs NAICS 72 (Accommodation and Food Services), 2015JOBS_NAICS_81_OTHER_SERV_2015 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2015JOBS_NAICS_92_PUBLIC_ADMIN_2015 = # Jobs NAICS 92 (Public Administration), 2015- - - - - -CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_15 = Change in # of jobs, 2010-2015CHNG_JOBS_AGE_29_YNGR_2010_15 = Change in # of jobs for workers age 29 or younger, 2010-2015CHNG_JOBS_AGE_30_54_2010_15 = Change in # of jobs for workers age 30 to 54, 2010-2015CHNG_JOBS_AGE_55_OLDR_2010_15 = Change in # of jobs for workers age 55 or older, 2010-2015CHNG_JOBS_1250_LESS_2010_15 = Change in # of jobs with earnings $1250/month or less, 2010-2015CHNG_JOBS_1251_3333_2010_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_JOBS_3333_MORE_2010_15 = Change in # of jobs with earnings greater than $3333/month, 2010-2015CHNG_PCT_JOBS_29_YNGR_2010_15 = Change in % of jobs for workers age 29 or younger, 2010-2015CHNG_PCT_JOBS_30_54_2010_15 = Change in % of jobs for workers age 30 to 54, 2010-2015CHNG_PCT_JOBS_55_OLDR_2010_15 = Change in % of jobs for workers age 55 or older, 2010-2015CHNG_PCT_JOBS_1250_LESS_2010_15 = Change in % of jobs with earnings $1250/month or less, 2010-2015CHNG_PCT_JOBS_1251_3333_2010_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_PCT_JOBS_3333_MORE_2010_15 = Change in % of jobs with earnings greater than $3333/month, 2010-2015CHNG_JOBS_2002_15 = Change in # of jobs, 2002-2015CHNG_JOBS_AGE_29_YNGR_2002_15 = Change in # of jobs for workers age 29 or younger, 2002-2015CHNG_JOBS_AGE_30_54_2002_15 = Change in # of jobs for workers age 30 to 54, 2002-2015CHNG_JOBS_AGE_55_OLDR_2002_15 = Change in # of jobs for workers age 55 or older, 2002-2015CHNG_JOBS_1250_LESS_2002_15 = Change in # of jobs with earnings $1250/month or less, 2002-2015CHNG_JOBS_1251_3333_2002_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_JOBS_3333_MORE_2002_15 = Change in # of jobs with earnings greater than $3333/month, 2002-2015CHNG_PCT_JOBS_29_YNGR_2002_15 = Change in % of jobs for workers age 29 or younger, 2002-2015CHNG_PCT_JOBS_30_54_2002_15 = Change in % of jobs for workers age 30 to 54, 2002-2015CHNG_PCT_JOBS_55_OLDR_2002_15 = Change in % of jobs for workers age 55 or older, 2002-2015CHNG_PCT_JOBS_1250_LESS_2002_15 = Change in % of jobs with earnings $1250/month or less, 2002-2015CHNG_PCT_JOBS_1251_3333_2002_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_PCT_JOBS_3333_MORE_2002_15 = Change in % of jobs with earnings greater than $3333/month, 2002-2015- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_PER_SQ_MILE_2014 = Workers per Square Mile, 2014WORKER_TO_JOB_RATIO_2014 = Worker to Job Ratio, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014PCT_WRKRS_AGE_29_YNGR_2014 = % Workers age 29 or younger, 2014PCT_WRKRS_AGE_30_54_2014 = % Workers age 30 to 54, 2014PCT_WRKRS_AGE_55_OLDR_2014 = % Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014PCT_WRKRS_ERN_1250_MO_LESS_2014 = % Workers earning $1250/month or less, 2014PCT_WRKRS_ERN_1251_3333_MO_2014 = % Workers earning $1251/month to $3333/month, 2014PCT_WRKRS_ERN_MORE_3333_MO_2014 = % Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -TOTAL_WRKRS_2015 = Total number of workers, 2015WRKRS_PER_SQ_MILE_2015 = Workers per Square Mile, 2015WORKER_TO_JOB_RATIO_2015 = Worker to Job Ratio, 2015WRKRS_AGE_29_YNGR_2015 = # Workers age 29 or younger, 2015WRKRS_AGE_30_54_2015 = # Workers age 30 to 54, 2015WRKRS_AGE_55_OLDR_2015 = # Workers age 55 or older, 2015WRKRS_EARN_1250_MO_LESS_2015 = # Workers earning $1250/month or less, 2015WRKRS_EARN_1251_3333_MO_2015 = # Workers earning $1251/month to $3333/month, 2015WRKRS_EARN_MORE_3333_MO_2015 = # Workers earning greater than $3333/month, 2015PCT_WRKRS_AGE_29_YNGR_2015 = % Workers age 29 or younger, 2015PCT_WRKRS_AGE_30_54_2015 = % Workers age 30 to 54, 2015PCT_WRKRS_AGE_55_OLDR_2015 = % Workers age 55 or older, 2015PCT_WRKRS_ERN_1250_MO_LESS_2015 = % Workers earning $1250/month or less, 2015PCT_WRKRS_ERN_1251_3333_MO_2015 = % Workers earning $1251/month to $3333/month, 2015PCT_WRKRS_ERN_MORE_3333_MO_2015 = % Workers earning greater than $3333/month, 2015WRKRS_NAICS_11_AG_FOR_FISH_2015 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015WRKRS_NAICS_21_MIN_OIL_GAS_2015 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015WRKRS_NAICS_22_UTILITIES_2015 = # Workers NAICS 22 (Utilities), 2015WRKRS_NAICS_23_CONSTRUCT_2015 = # Workers NAICS 23 (Construction), 2015WRKRS_NAICS_31_33_MANUFACT_2015 = # Workers NAICS 31-33 (Manufacturing), 2015WRKRS_NAICS_42_WHOLESALE_2015 = # Workers NAICS 42 (Wholesale Trade), 2015WRKRS_NAICS_44_45_RETAIL_2015 = # Workers NAICS 44-45 (Retail Trade), 2015WRKRS_NAICS_48_49_TRANS_WH_2015 = # Workers NAICS 48-49 (Transportation and Warehousing), 2015WRKRS_NAICS_51_INFORMATION_2015 = # Workers NAICS 51 (Information), 2015WRKRS_NAICS_52_FINANCE_INS_2015 = # Workers NAICS 52 (Finance and Insurance), 2015WRKRS_NAICS_53_REAL_ESTATE_2015 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2015WRKRS_NAICS_54_PRO_SCI_TEC_2015 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2015WRKRS_NAICS_55_MANAGEMENT_2015 = # Workers NAICS 55 (Management of Companies and Enterprises), 2015WRKRS_NAICS_56_ADMIN_WASTE_2015 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015WRKRS_NAICS_61_EDUCATION_2015 = # Workers NAICS 61 (Educational Services), 2015WRKRS_NAICS_62_HEALTH_SOC_2015 = # Workers NAICS 62 (Health Care and Social Assistance), 2015WRKRS_NAICS_71_ART_ENT_REC_2015 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2015WRKRS_NAICS_72_ACCOMM_FOOD_2015 = # Workers NAICS 72 (Accommodation and Food Services), 2015WRKRS_NAICS_81_OTHER_SERV_2015 = # Workers NAICS 81 (Other Services [except Public Administration]), 2015WRKRS_NAICS_92_PUB_ADMIN_2015 = # Workers NAICS 92 (Public Administration), 2015- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_15 = Change in # of workers, 2010-2015CHG_WRKRS_AGE_29_YNGR_2010_15 = Change in # of workers age 29 or younger, 2010-2015CHG_WRKRS_AGE_30_54_2010_15 = Change in # of workers age 30 to 54, 2010-2015CHG_WRKRS_AGE_55_OLDR_2010_15 = Change in # of workers age 55 or older, 2010-2015CHG_WRKRS_1250_LESS_2010_15 = Change in # of workers with earnings $1250/month or less, 2010-2015CHG_WRKRS_1251_3333_2010_15 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2015CHG_WRKRS_3333_MORE_2010_15 = Change in # of workers with earnings greater than $3333/month, 2010-2015CHG_PCT_WRKRS_29_YNGR_2010_15 = Change in % of workers age 29 or younger, 2010-2015CHG_PCT_WRKRS_30_54_2010_15 = Change in % of workers age 30 to 54, 2010-2015CHG_PCT_WRKRS_55_OLDR_2010_15 = Change in % of workers age 55 or older, 2010-2015CHG_PCT_WRKRS_1250_LESS_2010_15 = Change in % of workers with earnings $1250/month or less, 2010-2015CHG_PCT_WRKRS_1251_3333_2010_15 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2015CHG_PCT_WRKRS_3333_MORE_2010_15 = Change in % of workers with earnings greater than $3333/month, 2010-2015CHANGE_WORKERS_2002_15 = Change in # of workers, 2002-2015CHG_WRKRS_AGE_29_YNGR_2002_15 = Change in # of workers age 29 or younger, 2002-2015CHG_WRKRS_AGE_30_54_2002_15 = Change in # of workers age 30 to 54, 2002-2015CHG_WRKRS_AGE_55_OLDR_2002_15 = Change in # of workers age 55 or older, 2002-2015CHG_WRKRS_1250_LESS_2002_15 = Change in # of workers with earnings $1250/month or less, 2002-2015CHG_WRKRS_1251_3333_2002_15 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2015CHG_WRKRS_3333_MORE_2002_15 = Change in # of workers with earnings greater than $3333/month, 2002-2015CHG_PCT_WRKRS_29_YNGR_2002_15 = Change in % of workers age 29 or younger, 2002-2015CHG_PCT_WRKRS_30_54_2002_15 = Change in % of workers age 30 to 54, 2002-2015CHG_PCT_WRKRS_55_OLDR_2002_15 = Change in % of workers age 55 or older, 2002-2015CHG_PCT_WRKRS_1250_LESS_2002_15 = Change in % of workers with earnings $1250/month or less, 2002-2015CHG_PCT_WRKRS_1251_3333_2002_15 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2015CHG_PCT_WRKRS_3333_MORE_2002_15 = Change in % of workers with earnings greater than $3333/month, 2002-2015- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional CommissionDate: GA DOL: 2010-2012; LEHD: 2002-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Dept. of Labor (DOL) and U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program to show employment data by type and sector. Data from GA DOL includes estimates of employment in each economic sector by census tract in the Atlanta Region for the years 2010 and 2012. Economic sectors correspond with those established by NAICS (North American Industry Classification System). Datasets from LEHD show total number of jobs + workers and job + worker characteristics including sector (using same NAICS classifications), worker age, and earnings, for 2014 and 2015, as well as change data from 2002-2015. All data are given by census tract, for the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -Attributes from GA DOL:AG_FORS_FISH_HUNT_JOBS_2012 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2012MINING_JOBS_2012 = Mining Jobs, 2012UTILITIES_JOBS_2012 = Utilities Sector Jobs, 2012CONSTRUCTION_JOBS_2012 = Construction Jobs, 2012MANUFACT_NON_DUR_JOBS_2012 = Manufacturing – Non-Durable Jobs, 2012MANUFACT_DURABLE_JOBS_2012 = Manufacturing – Durable Jobs, 2012WHOLESALE_TRADE_JOBS_2012 = Wholesale Trade Jobs, 2012RETAIL_TRADE_JOBS_2012 = Retail Trade Jobs, 2012TRANSPORT_WAREHSE_JOBS_2012 = Transportation & Warehousing Jobs, 2012INFORMATION_JOBS_2012 = Information Jobs, 2012FINANCE_JOBS_2012 = Finance Jobs, 2012REAL_ESTATE_JOBS_2012 = Real Estate, Rental, and Leasing Jobs, 2012PROF_SCI_TECH_JOBS_2012 = Professional, Scientific, and Technical Services Jobs, 2012MANAGEMENT_JOBS_2012 = Management of Companies Jobs, 2012ADMIN_WASTE_MGMT_JOBS_2012 = Administrative/Waste Management Jobs, 2012EDUCATION_SERVICE_JOBS_2012 = Educational Services Jobs, 2012HEALTH_SOCIAL_JOBS_2012 = Health & Social Assistance Jobs, 2012ARTS_ENT_REC_JOBS_2012 = Arts, Entertainment, & Recreation Jobs, 2012ACCOMMODATE_FOOD_JOBS_2012 = Accommodation and Food Services Jobs, 2012OTH_SERV_NOT_PUB_JOBS_2012 = Other Services (Not Pub. Admin) Jobs, 2012PUBLIC_ADMIN_JOBS_2012 = Public Administration Jobs, 2012OTHER_UNCLASS_JOBS_2012 = Other, Unclassified Sector Jobs, 2012PCT_AG_FORS_FISH_HUNT_JOBS_2012 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2012PCT_MINING_JOBS_2012 = Percent, Mining Jobs, 2012PCT_UTILITIES_JOBS_2012 = Percent, Utilities Sector Jobs, 2012PCT_CONSTRUCTION_JOBS_2012 = Percent, Construction Jobs, 2012PCT_MANUFACT_NON_DUR_JOBS_2012 = Percent, Manufacturing – Non-Durable Jobs, 2012PCT_MANUFACT_DURABLE_JOBS_2012 = Percent, Manufacturing – Durable Jobs, 2012PCT_WHOLESALE_TRADE_JOBS_2012 = Percent, Wholesale Trade Jobs, 2012PCT_RETAIL_TRADE_JOBS_2012 = Percent, Retail Trade Jobs, 2012PCT_TRANSPORT_WAREHSE_JOBS_2012 = Percent, Transportation & Warehousing Jobs, 2012PCT_INFORMATION_JOBS_2012 = Percent, Information Jobs, 2012PCT_FINANCE_JOBS_2012 = Percent, Finance Jobs, 2012PCT_REAL_ESTATE_JOBS_2012 = Percent, Real Estate, Rental, and Leasing Jobs, 2012PCT_PROF_SCI_TECH_JOBS_2012 = Percent, Professional, Scientific, and Technical Services Jobs, 2012PCT_MANAGEMENT_JOBS_2012 = Percent, Management of Companies Jobs, 2012PCT_ADMIN_WASTE_MGMT_JOBS_2012 = Percent, Administrative/Waste Management Jobs, 2012PCT_EDUCATION_SERVICE_JOBS_2012 = Percent, Educational Services Jobs, 2012PCT_HEALTH_SOCIAL_JOBS_2012 = Percent, Health & Social Assistance Jobs, 2012PCT_ARTS_ENT_REC_JOBS_2012 = Percent, Arts, Entertainment, & Recreation Jobs, 2012PCT_ACCOMMODATE_FOOD_JOBS_2012 = Percent, Accommodation and Food Services Jobs, 2012PCT_OTH_SERV_NOT_PUB_JOBS_2012 = Percent, Other Services (Not Pub. Admin) Jobs, 2012PCT_PUBLIC_ADMIN_JOBS_2012 = Percent, Public Administration Jobs, 2012PCT_OTHER_UNCLASS_JOBS_2012 = Percent, Other, Unclassified Sector Jobs, 2012AG_FORS_FISH_HUNT_JOBS_2010 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2010MINING_JOBS_2010 = Mining Jobs, 2010UTILITIES_JOBS_2010 = Utilities Sector Jobs, 2010CONSTRUCTION_JOBS_2010 = Construction Jobs, 2010MANUFACT_NON_DUR_JOBS_2010 = Manufacturing – Non-Durable Jobs, 2010MANUFACT_DURABLE_JOBS_2010 = Manufacturing – Durable Jobs, 2010WHOLESALE_TRADE_JOBS_2010 = Wholesale Trade Jobs, 2010RETAIL_TRADE_JOBS_2010 = Retail Trade Jobs, 2010TRANSPORT_WAREHSE_JOBS_2010 = Transportation & Warehousing Jobs, 2010INFORMATION_JOBS_2010 = Information Jobs, 2010FINANCE_JOBS_2010 = Finance Jobs, 2010REAL_ESTATE_JOBS_2010 = Real Estate, Rental, and Leasing Jobs, 2010PROF_SCI_TECH_JOBS_2010 = Professional, Scientific, and Technical Services Jobs, 2010MANAGEMENT_JOBS_2010 = Management of Companies Jobs, 2010ADMIN_WASTE_MGMT_JOBS_2010 = Administrative/Waste Management Jobs, 2010EDUCATION_SERVICE_JOBS_2010 = Educational Services Jobs, 2010HEALTH_SOCIAL_JOBS_2010 = Health & Social Assistance Jobs, 2010ARTS_ENT_REC_JOBS_2010 = Arts, Entertainment, & Recreation Jobs, 2010ACCOMMODATE_FOOD_JOBS_2010 = Accommodation and Food Services Jobs, 2010OTH_SERV_NOT_PUB_JOBS_2010 = Other Services (Not Pub. Admin) Jobs, 2010PUBLIC_ADMIN_JOBS_2010 = Public Administration Jobs, 2010OTHER_UNCLASS_JOBS_2010 = Other, Unclassified Sector Jobs, 2010PCT_AG_FORS_FISH_HUNT_JOBS_2010 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2010PCT_MINING_JOBS_2010 = Percent, Mining Jobs, 2010PCT_UTILITIES_JOBS_2010 = Percent, Utilities Sector Jobs, 2010PCT_CONSTRUCTION_JOBS_2010 = Percent, Construction Jobs, 2010PCT_MANUFACT_NON_DUR_JOBS_2010 = Percent, Manufacturing – Non-Durable Jobs, 2010PCT_MANUFACT_DURABLE_JOBS_2010 = Percent, Manufacturing – Durable Jobs, 2010PCT_WHOLESALE_TRADE_JOBS_2010 = Percent, Wholesale Trade Jobs, 2010PCT_RETAIL_TRADE_JOBS_2010 = Percent, Retail Trade Jobs, 2010PCT_TRANSPORT_WAREHSE_JOBS_2010 = Percent, Transportation & Warehousing Jobs, 2010PCT_INFORMATION_JOBS_20120 = Percent, Information Jobs, 2010PCT_FINANCE_JOBS_2010 = Percent, Finance Jobs, 2010PCT_REAL_ESTATE_JOBS_2010 = Percent, Real Estate, Rental, and Leasing Jobs, 2010PCT_PROF_SCI_TECH_JOBS_2010 = Percent, Professional, Scientific, and Technical Services Jobs, 2010PCT_MANAGEMENT_JOBS_2010 = Percent, Management of Companies Jobs, 2010PCT_ADMIN_WASTE_MGMT_JOBS_2010 = Percent, Administrative/Waste Management Jobs, 2010PCT_EDUCATION_SERVICE_JOBS_2010 = Percent, Educational Services Jobs, 2010PCT_HEALTH_SOCIAL_JOBS_2010 = Percent, Health & Social Assistance Jobs, 2010PCT_ARTS_ENT_REC_JOBS_2010 = Percent, Arts, Entertainment, & Recreation Jobs, 2010PCT_ACCOMMODATE_FOOD_JOBS_2010 = Percent, Accommodation and Food Services Jobs, 2010PCT_OTH_SERV_NOT_PUB_JOBS_2010 = Percent, Other Services (Not Pub. Admin) Jobs, 2010PCT_PUBLIC_ADMIN_JOBS_2010 = Percent, Public Administration Jobs, 2010PCT_OTHER_UNCLASS_JOBS_2010 = Percent, Other, Unclassified Sector Jobs, 2010- - - - - -Attributes from LEHD:TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_PER_SQ_MILE_2014 = Jobs per Square Mile, 2014JOB_TO_WORKER_RATIO_2014 = Job to Worker Ratio, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014PCT_JOBS_AGE_29_YNGR_2014 = % Jobs for workers age 29 or younger, 2014PCT_JOBS_AGE_30_54_2014 = % Jobs for workers age 30 to 54, 2014PCT_JOBS_AGE_55_OLDR_2014 = % Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014PCT_JOBS_EARN_1250_MO_LESS_2014 = % Jobs with earnings $1250/month or less, 2014PCT_JOBS_EARN_1251_3333_MO_2014 = % Jobs with earnings $1251/month to $3333/month, 2014PCT_JOBS_EARN_MORE_3333_MO_2014 = % Jobs with earnings greater than $3333/month, 2014- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -TOTAL_JOBS_2015 = Total number of jobs, 2015JOBS_PER_SQ_MILE_2015 = Jobs per Square Mile, 2015JOB_TO_WORKER_RATIO_2015 = Job to Worker Ratio, 2015JOBS_AGE_29_YNGR_2015 = # Jobs for workers age 29 or younger, 2015JOBS_AGE_30_54_2015 = # Jobs for workers age 30 to 54, 2015JOBS_AGE_55_OLDR_2015 = # Jobs for workers age 55 or older, 2015JOBS_EARN_1250_MO_LESS_2015 = # Jobs with earnings $1250/month or less, 2015JOBS_EARN_1251_3333_MO_2015 = # Jobs with earnings $1251/month to $3333/month, 2015JOBS_EARN_MORE_3333_MO_2015 = # Jobs with earnings greater than $3333/month, 2015PCT_JOBS_AGE_29_YNGR_2015 = % Jobs for workers age 29 or younger, 2015PCT_JOBS_AGE_30_54_2015 = % Jobs for workers age 30 to 54, 2015PCT_JOBS_AGE_55_OLDR_2015 = % Jobs for workers age 55 or older, 2015PCT_JOBS_EARN_1250_MO_LESS_2015 = % Jobs with earnings $1250/month or less, 2015PCT_JOBS_EARN_1251_3333_MO_2015 = % Jobs with earnings $1251/month to $3333/month, 2015PCT_JOBS_EARN_MORE_3333_MO_2015 = % Jobs with earnings greater than $3333/month, 2015- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2015 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015JOBS_NAICS_21_MINE_OIL_GAS_2015 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015JOBS_NAICS_22_UTILITIES_2015 = # Jobs NAICS 22 (Utilities), 2015JOBS_NAICS_23_CONSTRUCTION_2015 = # Jobs NAICS 23 (Construction), 2015JOBS_NAICS_31_33_MANUFACT_2015 = # Jobs NAICS 31-33 (Manufacturing), 2015JOBS_NAICS_42_WHOLESALE_2015 = # Jobs NAICS 42 (Wholesale Trade), 2015JOBS_NAICS_44_45_RETAIL_2015 = # Jobs NAICS 44-45 (Retail Trade), 2015JOBS_NAICS_48_49_TRANS_WHS_2015 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2015JOBS_NAICS_51_INFORMATION_2015 = # Jobs NAICS 51 (Information), 2015JOBS_NAICS_52_FINANCE_INS_2015 = # Jobs NAICS 52 (Finance and Insurance), 2015JOBS_NAICS_53_REAL_ESTATE_2015 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2015JOBS_NAICS_54_PRO_SCI_TECH_2015 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2015JOBS_NAICS_55_MANAGEMENT_2015 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2015JOBS_NAICS_56_ADMIN_WASTE_2015 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015JOBS_NAICS_61_EDUCATION_2015 = # Jobs NAICS 61 (Educational Services), 2015JOBS_NAICS_62_HEALTH_SOC_2015 = # Jobs NAICS 62 (Health Care and Social Assistance), 2015JOBS_NAICS_71_ARTS_ENT_REC_2015 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2015JOBS_NAICS_72_ACCOMM_FOOD_2015 = # Jobs NAICS 72 (Accommodation and Food Services), 2015JOBS_NAICS_81_OTHER_SERV_2015 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2015JOBS_NAICS_92_PUBLIC_ADMIN_2015 = # Jobs NAICS 92 (Public Administration), 2015- - - - - -CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_15 = Change in # of jobs, 2010-2015CHNG_JOBS_AGE_29_YNGR_2010_15 = Change in # of jobs for workers age 29 or younger, 2010-2015CHNG_JOBS_AGE_30_54_2010_15 = Change in # of jobs for workers age 30 to 54, 2010-2015CHNG_JOBS_AGE_55_OLDR_2010_15 = Change in # of jobs for workers age 55 or older, 2010-2015CHNG_JOBS_1250_LESS_2010_15 = Change in # of jobs with earnings $1250/month or less, 2010-2015CHNG_JOBS_1251_3333_2010_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_JOBS_3333_MORE_2010_15 = Change in # of jobs with earnings greater than $3333/month, 2010-2015CHNG_PCT_JOBS_29_YNGR_2010_15 = Change in % of jobs for workers age 29 or younger, 2010-2015CHNG_PCT_JOBS_30_54_2010_15 = Change in % of jobs for workers age 30 to 54, 2010-2015CHNG_PCT_JOBS_55_OLDR_2010_15 = Change in % of jobs for workers age 55 or older, 2010-2015CHNG_PCT_JOBS_1250_LESS_2010_15 = Change in % of jobs with earnings $1250/month or less, 2010-2015CHNG_PCT_JOBS_1251_3333_2010_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_PCT_JOBS_3333_MORE_2010_15 = Change in % of jobs with earnings greater than $3333/month, 2010-2015CHNG_JOBS_2002_15 = Change in # of jobs, 2002-2015CHNG_JOBS_AGE_29_YNGR_2002_15 = Change in # of jobs for workers age 29 or younger, 2002-2015CHNG_JOBS_AGE_30_54_2002_15 = Change in # of jobs for workers age 30 to 54, 2002-2015CHNG_JOBS_AGE_55_OLDR_2002_15 = Change in # of jobs for workers age 55 or older, 2002-2015CHNG_JOBS_1250_LESS_2002_15 = Change in # of jobs with earnings $1250/month or less, 2002-2015CHNG_JOBS_1251_3333_2002_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_JOBS_3333_MORE_2002_15 = Change in # of jobs with earnings greater than $3333/month, 2002-2015CHNG_PCT_JOBS_29_YNGR_2002_15 = Change in % of jobs for workers age 29 or younger, 2002-2015CHNG_PCT_JOBS_30_54_2002_15 = Change in % of jobs for workers age 30 to 54, 2002-2015CHNG_PCT_JOBS_55_OLDR_2002_15 = Change in % of jobs for workers age 55 or older, 2002-2015CHNG_PCT_JOBS_1250_LESS_2002_15 = Change in % of jobs with earnings $1250/month or less, 2002-2015CHNG_PCT_JOBS_1251_3333_2002_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_PCT_JOBS_3333_MORE_2002_15 = Change in % of jobs with earnings greater than $3333/month, 2002-2015- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_PER_SQ_MILE_2014 = Workers per Square Mile, 2014WORKER_TO_JOB_RATIO_2014 = Worker to Job Ratio, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014PCT_WRKRS_AGE_29_YNGR_2014 = % Workers age 29 or younger, 2014PCT_WRKRS_AGE_30_54_2014 = % Workers age 30 to 54, 2014PCT_WRKRS_AGE_55_OLDR_2014 = % Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014PCT_WRKRS_ERN_1250_MO_LESS_2014 = % Workers earning $1250/month or less, 2014PCT_WRKRS_ERN_1251_3333_MO_2014 = % Workers earning $1251/month to $3333/month, 2014PCT_WRKRS_ERN_MORE_3333_MO_2014 = % Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -TOTAL_WRKRS_2015 = Total number of workers, 2015WRKRS_PER_SQ_MILE_2015 = Workers per Square Mile, 2015WORKER_TO_JOB_RATIO_2015 = Worker to Job Ratio, 2015WRKRS_AGE_29_YNGR_2015 = # Workers age 29 or younger, 2015WRKRS_AGE_30_54_2015 = # Workers age 30 to 54, 2015WRKRS_AGE_55_OLDR_2015 = # Workers age 55 or older, 2015WRKRS_EARN_1250_MO_LESS_2015 = # Workers earning $1250/month or less, 2015WRKRS_EARN_1251_3333_MO_2015 = # Workers earning $1251/month to $3333/month, 2015WRKRS_EARN_MORE_3333_MO_2015 = # Workers earning greater than $3333/month, 2015PCT_WRKRS_AGE_29_YNGR_2015 = % Workers age 29 or younger, 2015PCT_WRKRS_AGE_30_54_2015 = % Workers age 30 to 54, 2015PCT_WRKRS_AGE_55_OLDR_2015 = % Workers age 55 or older, 2015PCT_WRKRS_ERN_1250_MO_LESS_2015 = % Workers earning $1250/month or less, 2015PCT_WRKRS_ERN_1251_3333_MO_2015 = % Workers earning $1251/month to $3333/month, 2015PCT_WRKRS_ERN_MORE_3333_MO_2015 = % Workers earning greater than $3333/month, 2015WRKRS_NAICS_11_AG_FOR_FISH_2015 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015WRKRS_NAICS_21_MIN_OIL_GAS_2015 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015WRKRS_NAICS_22_UTILITIES_2015 = # Workers NAICS 22 (Utilities), 2015WRKRS_NAICS_23_CONSTRUCT_2015 = # Workers NAICS 23 (Construction), 2015WRKRS_NAICS_31_33_MANUFACT_2015 = # Workers NAICS 31-33 (Manufacturing), 2015WRKRS_NAICS_42_WHOLESALE_2015 = # Workers NAICS 42 (Wholesale Trade), 2015WRKRS_NAICS_44_45_RETAIL_2015 = # Workers NAICS 44-45 (Retail Trade), 2015WRKRS_NAICS_48_49_TRANS_WH_2015 = # Workers NAICS 48-49 (Transportation and Warehousing), 2015WRKRS_NAICS_51_INFORMATION_2015 = # Workers NAICS 51 (Information), 2015WRKRS_NAICS_52_FINANCE_INS_2015 = # Workers NAICS 52 (Finance and Insurance), 2015WRKRS_NAICS_53_REAL_ESTATE_2015 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2015WRKRS_NAICS_54_PRO_SCI_TEC_2015 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2015WRKRS_NAICS_55_MANAGEMENT_2015 = # Workers NAICS 55 (Management of Companies and Enterprises), 2015WRKRS_NAICS_56_ADMIN_WASTE_2015 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015WRKRS_NAICS_61_EDUCATION_2015 = # Workers NAICS 61 (Educational Services), 2015WRKRS_NAICS_62_HEALTH_SOC_2015 = # Workers NAICS 62 (Health Care and Social Assistance), 2015WRKRS_NAICS_71_ART_ENT_REC_2015 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2015WRKRS_NAICS_72_ACCOMM_FOOD_2015 = # Workers NAICS 72 (Accommodation and Food Services), 2015WRKRS_NAICS_81_OTHER_SERV_2015 = # Workers NAICS 81 (Other Services [except Public Administration]), 2015WRKRS_NAICS_92_PUB_ADMIN_2015 = # Workers NAICS 92 (Public Administration), 2015- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_15 = Change in # of workers, 2010-2015CHG_WRKRS_AGE_29_YNGR_2010_15 = Change in # of workers age 29 or younger, 2010-2015CHG_WRKRS_AGE_30_54_2010_15 = Change in # of workers age 30 to 54, 2010-2015CHG_WRKRS_AGE_55_OLDR_2010_15 = Change in # of workers age 55 or older, 2010-2015CHG_WRKRS_1250_LESS_2010_15 = Change in # of workers with earnings $1250/month or less, 2010-2015CHG_WRKRS_1251_3333_2010_15 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2015CHG_WRKRS_3333_MORE_2010_15 = Change in # of workers with earnings greater than $3333/month, 2010-2015CHG_PCT_WRKRS_29_YNGR_2010_15 = Change in % of workers age 29 or younger, 2010-2015CHG_PCT_WRKRS_30_54_2010_15 = Change in % of workers age 30 to 54, 2010-2015CHG_PCT_WRKRS_55_OLDR_2010_15 = Change in % of workers age 55 or older, 2010-2015CHG_PCT_WRKRS_1250_LESS_2010_15 = Change in % of workers with earnings $1250/month or less, 2010-2015CHG_PCT_WRKRS_1251_3333_2010_15 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2015CHG_PCT_WRKRS_3333_MORE_2010_15 = Change in % of workers with earnings greater than $3333/month, 2010-2015CHANGE_WORKERS_2002_15 = Change in # of workers, 2002-2015CHG_WRKRS_AGE_29_YNGR_2002_15 = Change in # of workers age 29 or younger, 2002-2015CHG_WRKRS_AGE_30_54_2002_15 = Change in # of workers age 30 to 54, 2002-2015CHG_WRKRS_AGE_55_OLDR_2002_15 = Change in # of workers age 55 or older, 2002-2015CHG_WRKRS_1250_LESS_2002_15 = Change in # of workers with earnings $1250/month or less, 2002-2015CHG_WRKRS_1251_3333_2002_15 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2015CHG_WRKRS_3333_MORE_2002_15 = Change in # of workers with earnings greater than $3333/month, 2002-2015CHG_PCT_WRKRS_29_YNGR_2002_15 = Change in % of workers age 29 or younger, 2002-2015CHG_PCT_WRKRS_30_54_2002_15 = Change in % of workers age 30 to 54, 2002-2015CHG_PCT_WRKRS_55_OLDR_2002_15 = Change in % of workers age 55 or older, 2002-2015CHG_PCT_WRKRS_1250_LESS_2002_15 = Change in % of workers with earnings $1250/month or less, 2002-2015CHG_PCT_WRKRS_1251_3333_2002_15 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2015CHG_PCT_WRKRS_3333_MORE_2002_15 = Change in % of workers with earnings greater than $3333/month, 2002-2015- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional CommissionDate: GA DOL: 2010-2012; LEHD: 2002-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional Commission
CHNG_JOBS_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_07
)
CHNG_JOBS_AGE_29_YNGR_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_07
)
CHNG_JOBS_AGE_30_54_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_07
)
CHNG_JOBS_AGE_55_OLDR_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_07
)
CHNG_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_07
)
CHNG_JOBS_1251_3333_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_07
)
CHNG_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_07
)
CHNG_PCT_JOBS_29_YNGR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_07
)
CHNG_PCT_JOBS_30_54_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_07
)
CHNG_PCT_JOBS_55_OLDR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_07
)
CHNG_PCT_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_07
)
CHNG_PCT_JOBS_1251_3333_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_07
)
CHNG_PCT_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_07
)
CHNG_JOBS_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2007_10
)
CHNG_JOBS_AGE_29_YNGR_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2007_10
)
CHNG_JOBS_AGE_30_54_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2007_10
)
CHNG_JOBS_AGE_55_OLDR_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2007_10
)
CHNG_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2007_10
)
CHNG_JOBS_1251_3333_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2007_10
)
CHNG_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2007_10
)
CHNG_PCT_JOBS_29_YNGR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2007_10
)
CHNG_PCT_JOBS_30_54_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2007_10
)
CHNG_PCT_JOBS_55_OLDR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2007_10
)
CHNG_PCT_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2007_10
)
CHNG_PCT_JOBS_1251_3333_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2007_10
)
CHNG_PCT_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2007_10
)
CHNG_JOBS_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2010_15
)
CHNG_JOBS_AGE_29_YNGR_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 29 or younger, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2010_15
)
CHNG_JOBS_AGE_30_54_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 30 to 54, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2010_15
)
CHNG_JOBS_AGE_55_OLDR_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 55 or older, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2010_15
)
CHNG_JOBS_1250_LESS_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1250/month or less, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2010_15
)
CHNG_JOBS_1251_3333_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2010_15
)
CHNG_JOBS_3333_MORE_2010_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings greater than $3333/month, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2010_15
)
CHNG_PCT_JOBS_29_YNGR_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2010_15
)
CHNG_PCT_JOBS_30_54_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2010_15
)
CHNG_PCT_JOBS_55_OLDR_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2010_15
)
CHNG_PCT_JOBS_1250_LESS_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2010_15
)
CHNG_PCT_JOBS_1251_3333_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2010_15
)
CHNG_PCT_JOBS_3333_MORE_2010_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2010_15
)
CHNG_JOBS_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_15
)
CHNG_JOBS_AGE_29_YNGR_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 29 or younger, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_15
)
CHNG_JOBS_AGE_30_54_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 30 to 54, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_15
)
CHNG_JOBS_AGE_55_OLDR_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs for workers age 55 or older, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_15
)
CHNG_JOBS_1250_LESS_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1250/month or less, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_15
)
CHNG_JOBS_1251_3333_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_15
)
CHNG_JOBS_3333_MORE_2002_15
(
type: esriFieldTypeDouble, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_15
)
CHNG_PCT_JOBS_29_YNGR_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_15
)
CHNG_PCT_JOBS_30_54_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_15
)
CHNG_PCT_JOBS_55_OLDR_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_15
)
CHNG_PCT_JOBS_1250_LESS_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_15
)
CHNG_PCT_JOBS_1251_3333_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_15
)
CHNG_PCT_JOBS_3333_MORE_2002_15
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2015, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_15
)
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Dept. of Labor (DOL) and U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program to show employment data by type and sector. Data from GA DOL includes estimates of employment in each economic sector by census tract in the Atlanta Region for the years 2010 and 2012. Economic sectors correspond with those established by NAICS (North American Industry Classification System). Datasets from LEHD show total number of jobs + workers and job + worker characteristics including sector (using same NAICS classifications), worker age, and earnings, for 2014 and 2015, as well as change data from 2002-2015. All data are given by census tract, for the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -Attributes from GA DOL:AG_FORS_FISH_HUNT_JOBS_2012 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2012MINING_JOBS_2012 = Mining Jobs, 2012UTILITIES_JOBS_2012 = Utilities Sector Jobs, 2012CONSTRUCTION_JOBS_2012 = Construction Jobs, 2012MANUFACT_NON_DUR_JOBS_2012 = Manufacturing – Non-Durable Jobs, 2012MANUFACT_DURABLE_JOBS_2012 = Manufacturing – Durable Jobs, 2012WHOLESALE_TRADE_JOBS_2012 = Wholesale Trade Jobs, 2012RETAIL_TRADE_JOBS_2012 = Retail Trade Jobs, 2012TRANSPORT_WAREHSE_JOBS_2012 = Transportation & Warehousing Jobs, 2012INFORMATION_JOBS_2012 = Information Jobs, 2012FINANCE_JOBS_2012 = Finance Jobs, 2012REAL_ESTATE_JOBS_2012 = Real Estate, Rental, and Leasing Jobs, 2012PROF_SCI_TECH_JOBS_2012 = Professional, Scientific, and Technical Services Jobs, 2012MANAGEMENT_JOBS_2012 = Management of Companies Jobs, 2012ADMIN_WASTE_MGMT_JOBS_2012 = Administrative/Waste Management Jobs, 2012EDUCATION_SERVICE_JOBS_2012 = Educational Services Jobs, 2012HEALTH_SOCIAL_JOBS_2012 = Health & Social Assistance Jobs, 2012ARTS_ENT_REC_JOBS_2012 = Arts, Entertainment, & Recreation Jobs, 2012ACCOMMODATE_FOOD_JOBS_2012 = Accommodation and Food Services Jobs, 2012OTH_SERV_NOT_PUB_JOBS_2012 = Other Services (Not Pub. Admin) Jobs, 2012PUBLIC_ADMIN_JOBS_2012 = Public Administration Jobs, 2012OTHER_UNCLASS_JOBS_2012 = Other, Unclassified Sector Jobs, 2012PCT_AG_FORS_FISH_HUNT_JOBS_2012 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2012PCT_MINING_JOBS_2012 = Percent, Mining Jobs, 2012PCT_UTILITIES_JOBS_2012 = Percent, Utilities Sector Jobs, 2012PCT_CONSTRUCTION_JOBS_2012 = Percent, Construction Jobs, 2012PCT_MANUFACT_NON_DUR_JOBS_2012 = Percent, Manufacturing – Non-Durable Jobs, 2012PCT_MANUFACT_DURABLE_JOBS_2012 = Percent, Manufacturing – Durable Jobs, 2012PCT_WHOLESALE_TRADE_JOBS_2012 = Percent, Wholesale Trade Jobs, 2012PCT_RETAIL_TRADE_JOBS_2012 = Percent, Retail Trade Jobs, 2012PCT_TRANSPORT_WAREHSE_JOBS_2012 = Percent, Transportation & Warehousing Jobs, 2012PCT_INFORMATION_JOBS_2012 = Percent, Information Jobs, 2012PCT_FINANCE_JOBS_2012 = Percent, Finance Jobs, 2012PCT_REAL_ESTATE_JOBS_2012 = Percent, Real Estate, Rental, and Leasing Jobs, 2012PCT_PROF_SCI_TECH_JOBS_2012 = Percent, Professional, Scientific, and Technical Services Jobs, 2012PCT_MANAGEMENT_JOBS_2012 = Percent, Management of Companies Jobs, 2012PCT_ADMIN_WASTE_MGMT_JOBS_2012 = Percent, Administrative/Waste Management Jobs, 2012PCT_EDUCATION_SERVICE_JOBS_2012 = Percent, Educational Services Jobs, 2012PCT_HEALTH_SOCIAL_JOBS_2012 = Percent, Health & Social Assistance Jobs, 2012PCT_ARTS_ENT_REC_JOBS_2012 = Percent, Arts, Entertainment, & Recreation Jobs, 2012PCT_ACCOMMODATE_FOOD_JOBS_2012 = Percent, Accommodation and Food Services Jobs, 2012PCT_OTH_SERV_NOT_PUB_JOBS_2012 = Percent, Other Services (Not Pub. Admin) Jobs, 2012PCT_PUBLIC_ADMIN_JOBS_2012 = Percent, Public Administration Jobs, 2012PCT_OTHER_UNCLASS_JOBS_2012 = Percent, Other, Unclassified Sector Jobs, 2012AG_FORS_FISH_HUNT_JOBS_2010 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2010MINING_JOBS_2010 = Mining Jobs, 2010UTILITIES_JOBS_2010 = Utilities Sector Jobs, 2010CONSTRUCTION_JOBS_2010 = Construction Jobs, 2010MANUFACT_NON_DUR_JOBS_2010 = Manufacturing – Non-Durable Jobs, 2010MANUFACT_DURABLE_JOBS_2010 = Manufacturing – Durable Jobs, 2010WHOLESALE_TRADE_JOBS_2010 = Wholesale Trade Jobs, 2010RETAIL_TRADE_JOBS_2010 = Retail Trade Jobs, 2010TRANSPORT_WAREHSE_JOBS_2010 = Transportation & Warehousing Jobs, 2010INFORMATION_JOBS_2010 = Information Jobs, 2010FINANCE_JOBS_2010 = Finance Jobs, 2010REAL_ESTATE_JOBS_2010 = Real Estate, Rental, and Leasing Jobs, 2010PROF_SCI_TECH_JOBS_2010 = Professional, Scientific, and Technical Services Jobs, 2010MANAGEMENT_JOBS_2010 = Management of Companies Jobs, 2010ADMIN_WASTE_MGMT_JOBS_2010 = Administrative/Waste Management Jobs, 2010EDUCATION_SERVICE_JOBS_2010 = Educational Services Jobs, 2010HEALTH_SOCIAL_JOBS_2010 = Health & Social Assistance Jobs, 2010ARTS_ENT_REC_JOBS_2010 = Arts, Entertainment, & Recreation Jobs, 2010ACCOMMODATE_FOOD_JOBS_2010 = Accommodation and Food Services Jobs, 2010OTH_SERV_NOT_PUB_JOBS_2010 = Other Services (Not Pub. Admin) Jobs, 2010PUBLIC_ADMIN_JOBS_2010 = Public Administration Jobs, 2010OTHER_UNCLASS_JOBS_2010 = Other, Unclassified Sector Jobs, 2010PCT_AG_FORS_FISH_HUNT_JOBS_2010 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2010PCT_MINING_JOBS_2010 = Percent, Mining Jobs, 2010PCT_UTILITIES_JOBS_2010 = Percent, Utilities Sector Jobs, 2010PCT_CONSTRUCTION_JOBS_2010 = Percent, Construction Jobs, 2010PCT_MANUFACT_NON_DUR_JOBS_2010 = Percent, Manufacturing – Non-Durable Jobs, 2010PCT_MANUFACT_DURABLE_JOBS_2010 = Percent, Manufacturing – Durable Jobs, 2010PCT_WHOLESALE_TRADE_JOBS_2010 = Percent, Wholesale Trade Jobs, 2010PCT_RETAIL_TRADE_JOBS_2010 = Percent, Retail Trade Jobs, 2010PCT_TRANSPORT_WAREHSE_JOBS_2010 = Percent, Transportation & Warehousing Jobs, 2010PCT_INFORMATION_JOBS_20120 = Percent, Information Jobs, 2010PCT_FINANCE_JOBS_2010 = Percent, Finance Jobs, 2010PCT_REAL_ESTATE_JOBS_2010 = Percent, Real Estate, Rental, and Leasing Jobs, 2010PCT_PROF_SCI_TECH_JOBS_2010 = Percent, Professional, Scientific, and Technical Services Jobs, 2010PCT_MANAGEMENT_JOBS_2010 = Percent, Management of Companies Jobs, 2010PCT_ADMIN_WASTE_MGMT_JOBS_2010 = Percent, Administrative/Waste Management Jobs, 2010PCT_EDUCATION_SERVICE_JOBS_2010 = Percent, Educational Services Jobs, 2010PCT_HEALTH_SOCIAL_JOBS_2010 = Percent, Health & Social Assistance Jobs, 2010PCT_ARTS_ENT_REC_JOBS_2010 = Percent, Arts, Entertainment, & Recreation Jobs, 2010PCT_ACCOMMODATE_FOOD_JOBS_2010 = Percent, Accommodation and Food Services Jobs, 2010PCT_OTH_SERV_NOT_PUB_JOBS_2010 = Percent, Other Services (Not Pub. Admin) Jobs, 2010PCT_PUBLIC_ADMIN_JOBS_2010 = Percent, Public Administration Jobs, 2010PCT_OTHER_UNCLASS_JOBS_2010 = Percent, Other, Unclassified Sector Jobs, 2010- - - - - -Attributes from LEHD:TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_PER_SQ_MILE_2014 = Jobs per Square Mile, 2014JOB_TO_WORKER_RATIO_2014 = Job to Worker Ratio, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014PCT_JOBS_AGE_29_YNGR_2014 = % Jobs for workers age 29 or younger, 2014PCT_JOBS_AGE_30_54_2014 = % Jobs for workers age 30 to 54, 2014PCT_JOBS_AGE_55_OLDR_2014 = % Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014PCT_JOBS_EARN_1250_MO_LESS_2014 = % Jobs with earnings $1250/month or less, 2014PCT_JOBS_EARN_1251_3333_MO_2014 = % Jobs with earnings $1251/month to $3333/month, 2014PCT_JOBS_EARN_MORE_3333_MO_2014 = % Jobs with earnings greater than $3333/month, 2014- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -TOTAL_JOBS_2015 = Total number of jobs, 2015JOBS_PER_SQ_MILE_2015 = Jobs per Square Mile, 2015JOB_TO_WORKER_RATIO_2015 = Job to Worker Ratio, 2015JOBS_AGE_29_YNGR_2015 = # Jobs for workers age 29 or younger, 2015JOBS_AGE_30_54_2015 = # Jobs for workers age 30 to 54, 2015JOBS_AGE_55_OLDR_2015 = # Jobs for workers age 55 or older, 2015JOBS_EARN_1250_MO_LESS_2015 = # Jobs with earnings $1250/month or less, 2015JOBS_EARN_1251_3333_MO_2015 = # Jobs with earnings $1251/month to $3333/month, 2015JOBS_EARN_MORE_3333_MO_2015 = # Jobs with earnings greater than $3333/month, 2015PCT_JOBS_AGE_29_YNGR_2015 = % Jobs for workers age 29 or younger, 2015PCT_JOBS_AGE_30_54_2015 = % Jobs for workers age 30 to 54, 2015PCT_JOBS_AGE_55_OLDR_2015 = % Jobs for workers age 55 or older, 2015PCT_JOBS_EARN_1250_MO_LESS_2015 = % Jobs with earnings $1250/month or less, 2015PCT_JOBS_EARN_1251_3333_MO_2015 = % Jobs with earnings $1251/month to $3333/month, 2015PCT_JOBS_EARN_MORE_3333_MO_2015 = % Jobs with earnings greater than $3333/month, 2015- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2015 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015JOBS_NAICS_21_MINE_OIL_GAS_2015 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015JOBS_NAICS_22_UTILITIES_2015 = # Jobs NAICS 22 (Utilities), 2015JOBS_NAICS_23_CONSTRUCTION_2015 = # Jobs NAICS 23 (Construction), 2015JOBS_NAICS_31_33_MANUFACT_2015 = # Jobs NAICS 31-33 (Manufacturing), 2015JOBS_NAICS_42_WHOLESALE_2015 = # Jobs NAICS 42 (Wholesale Trade), 2015JOBS_NAICS_44_45_RETAIL_2015 = # Jobs NAICS 44-45 (Retail Trade), 2015JOBS_NAICS_48_49_TRANS_WHS_2015 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2015JOBS_NAICS_51_INFORMATION_2015 = # Jobs NAICS 51 (Information), 2015JOBS_NAICS_52_FINANCE_INS_2015 = # Jobs NAICS 52 (Finance and Insurance), 2015JOBS_NAICS_53_REAL_ESTATE_2015 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2015JOBS_NAICS_54_PRO_SCI_TECH_2015 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2015JOBS_NAICS_55_MANAGEMENT_2015 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2015JOBS_NAICS_56_ADMIN_WASTE_2015 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015JOBS_NAICS_61_EDUCATION_2015 = # Jobs NAICS 61 (Educational Services), 2015JOBS_NAICS_62_HEALTH_SOC_2015 = # Jobs NAICS 62 (Health Care and Social Assistance), 2015JOBS_NAICS_71_ARTS_ENT_REC_2015 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2015JOBS_NAICS_72_ACCOMM_FOOD_2015 = # Jobs NAICS 72 (Accommodation and Food Services), 2015JOBS_NAICS_81_OTHER_SERV_2015 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2015JOBS_NAICS_92_PUBLIC_ADMIN_2015 = # Jobs NAICS 92 (Public Administration), 2015- - - - - -CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_15 = Change in # of jobs, 2010-2015CHNG_JOBS_AGE_29_YNGR_2010_15 = Change in # of jobs for workers age 29 or younger, 2010-2015CHNG_JOBS_AGE_30_54_2010_15 = Change in # of jobs for workers age 30 to 54, 2010-2015CHNG_JOBS_AGE_55_OLDR_2010_15 = Change in # of jobs for workers age 55 or older, 2010-2015CHNG_JOBS_1250_LESS_2010_15 = Change in # of jobs with earnings $1250/month or less, 2010-2015CHNG_JOBS_1251_3333_2010_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_JOBS_3333_MORE_2010_15 = Change in # of jobs with earnings greater than $3333/month, 2010-2015CHNG_PCT_JOBS_29_YNGR_2010_15 = Change in % of jobs for workers age 29 or younger, 2010-2015CHNG_PCT_JOBS_30_54_2010_15 = Change in % of jobs for workers age 30 to 54, 2010-2015CHNG_PCT_JOBS_55_OLDR_2010_15 = Change in % of jobs for workers age 55 or older, 2010-2015CHNG_PCT_JOBS_1250_LESS_2010_15 = Change in % of jobs with earnings $1250/month or less, 2010-2015CHNG_PCT_JOBS_1251_3333_2010_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_PCT_JOBS_3333_MORE_2010_15 = Change in % of jobs with earnings greater than $3333/month, 2010-2015CHNG_JOBS_2002_15 = Change in # of jobs, 2002-2015CHNG_JOBS_AGE_29_YNGR_2002_15 = Change in # of jobs for workers age 29 or younger, 2002-2015CHNG_JOBS_AGE_30_54_2002_15 = Change in # of jobs for workers age 30 to 54, 2002-2015CHNG_JOBS_AGE_55_OLDR_2002_15 = Change in # of jobs for workers age 55 or older, 2002-2015CHNG_JOBS_1250_LESS_2002_15 = Change in # of jobs with earnings $1250/month or less, 2002-2015CHNG_JOBS_1251_3333_2002_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_JOBS_3333_MORE_2002_15 = Change in # of jobs with earnings greater than $3333/month, 2002-2015CHNG_PCT_JOBS_29_YNGR_2002_15 = Change in % of jobs for workers age 29 or younger, 2002-2015CHNG_PCT_JOBS_30_54_2002_15 = Change in % of jobs for workers age 30 to 54, 2002-2015CHNG_PCT_JOBS_55_OLDR_2002_15 = Change in % of jobs for workers age 55 or older, 2002-2015CHNG_PCT_JOBS_1250_LESS_2002_15 = Change in % of jobs with earnings $1250/month or less, 2002-2015CHNG_PCT_JOBS_1251_3333_2002_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_PCT_JOBS_3333_MORE_2002_15 = Change in % of jobs with earnings greater than $3333/month, 2002-2015- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_PER_SQ_MILE_2014 = Workers per Square Mile, 2014WORKER_TO_JOB_RATIO_2014 = Worker to Job Ratio, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014PCT_WRKRS_AGE_29_YNGR_2014 = % Workers age 29 or younger, 2014PCT_WRKRS_AGE_30_54_2014 = % Workers age 30 to 54, 2014PCT_WRKRS_AGE_55_OLDR_2014 = % Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014PCT_WRKRS_ERN_1250_MO_LESS_2014 = % Workers earning $1250/month or less, 2014PCT_WRKRS_ERN_1251_3333_MO_2014 = % Workers earning $1251/month to $3333/month, 2014PCT_WRKRS_ERN_MORE_3333_MO_2014 = % Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -TOTAL_WRKRS_2015 = Total number of workers, 2015WRKRS_PER_SQ_MILE_2015 = Workers per Square Mile, 2015WORKER_TO_JOB_RATIO_2015 = Worker to Job Ratio, 2015WRKRS_AGE_29_YNGR_2015 = # Workers age 29 or younger, 2015WRKRS_AGE_30_54_2015 = # Workers age 30 to 54, 2015WRKRS_AGE_55_OLDR_2015 = # Workers age 55 or older, 2015WRKRS_EARN_1250_MO_LESS_2015 = # Workers earning $1250/month or less, 2015WRKRS_EARN_1251_3333_MO_2015 = # Workers earning $1251/month to $3333/month, 2015WRKRS_EARN_MORE_3333_MO_2015 = # Workers earning greater than $3333/month, 2015PCT_WRKRS_AGE_29_YNGR_2015 = % Workers age 29 or younger, 2015PCT_WRKRS_AGE_30_54_2015 = % Workers age 30 to 54, 2015PCT_WRKRS_AGE_55_OLDR_2015 = % Workers age 55 or older, 2015PCT_WRKRS_ERN_1250_MO_LESS_2015 = % Workers earning $1250/month or less, 2015PCT_WRKRS_ERN_1251_3333_MO_2015 = % Workers earning $1251/month to $3333/month, 2015PCT_WRKRS_ERN_MORE_3333_MO_2015 = % Workers earning greater than $3333/month, 2015WRKRS_NAICS_11_AG_FOR_FISH_2015 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015WRKRS_NAICS_21_MIN_OIL_GAS_2015 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015WRKRS_NAICS_22_UTILITIES_2015 = # Workers NAICS 22 (Utilities), 2015WRKRS_NAICS_23_CONSTRUCT_2015 = # Workers NAICS 23 (Construction), 2015WRKRS_NAICS_31_33_MANUFACT_2015 = # Workers NAICS 31-33 (Manufacturing), 2015WRKRS_NAICS_42_WHOLESALE_2015 = # Workers NAICS 42 (Wholesale Trade), 2015WRKRS_NAICS_44_45_RETAIL_2015 = # Workers NAICS 44-45 (Retail Trade), 2015WRKRS_NAICS_48_49_TRANS_WH_2015 = # Workers NAICS 48-49 (Transportation and Warehousing), 2015WRKRS_NAICS_51_INFORMATION_2015 = # Workers NAICS 51 (Information), 2015WRKRS_NAICS_52_FINANCE_INS_2015 = # Workers NAICS 52 (Finance and Insurance), 2015WRKRS_NAICS_53_REAL_ESTATE_2015 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2015WRKRS_NAICS_54_PRO_SCI_TEC_2015 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2015WRKRS_NAICS_55_MANAGEMENT_2015 = # Workers NAICS 55 (Management of Companies and Enterprises), 2015WRKRS_NAICS_56_ADMIN_WASTE_2015 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015WRKRS_NAICS_61_EDUCATION_2015 = # Workers NAICS 61 (Educational Services), 2015WRKRS_NAICS_62_HEALTH_SOC_2015 = # Workers NAICS 62 (Health Care and Social Assistance), 2015WRKRS_NAICS_71_ART_ENT_REC_2015 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2015WRKRS_NAICS_72_ACCOMM_FOOD_2015 = # Workers NAICS 72 (Accommodation and Food Services), 2015WRKRS_NAICS_81_OTHER_SERV_2015 = # Workers NAICS 81 (Other Services [except Public Administration]), 2015WRKRS_NAICS_92_PUB_ADMIN_2015 = # Workers NAICS 92 (Public Administration), 2015- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_15 = Change in # of workers, 2010-2015CHG_WRKRS_AGE_29_YNGR_2010_15 = Change in # of workers age 29 or younger, 2010-2015CHG_WRKRS_AGE_30_54_2010_15 = Change in # of workers age 30 to 54, 2010-2015CHG_WRKRS_AGE_55_OLDR_2010_15 = Change in # of workers age 55 or older, 2010-2015CHG_WRKRS_1250_LESS_2010_15 = Change in # of workers with earnings $1250/month or less, 2010-2015CHG_WRKRS_1251_3333_2010_15 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2015CHG_WRKRS_3333_MORE_2010_15 = Change in # of workers with earnings greater than $3333/month, 2010-2015CHG_PCT_WRKRS_29_YNGR_2010_15 = Change in % of workers age 29 or younger, 2010-2015CHG_PCT_WRKRS_30_54_2010_15 = Change in % of workers age 30 to 54, 2010-2015CHG_PCT_WRKRS_55_OLDR_2010_15 = Change in % of workers age 55 or older, 2010-2015CHG_PCT_WRKRS_1250_LESS_2010_15 = Change in % of workers with earnings $1250/month or less, 2010-2015CHG_PCT_WRKRS_1251_3333_2010_15 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2015CHG_PCT_WRKRS_3333_MORE_2010_15 = Change in % of workers with earnings greater than $3333/month, 2010-2015CHANGE_WORKERS_2002_15 = Change in # of workers, 2002-2015CHG_WRKRS_AGE_29_YNGR_2002_15 = Change in # of workers age 29 or younger, 2002-2015CHG_WRKRS_AGE_30_54_2002_15 = Change in # of workers age 30 to 54, 2002-2015CHG_WRKRS_AGE_55_OLDR_2002_15 = Change in # of workers age 55 or older, 2002-2015CHG_WRKRS_1250_LESS_2002_15 = Change in # of workers with earnings $1250/month or less, 2002-2015CHG_WRKRS_1251_3333_2002_15 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2015CHG_WRKRS_3333_MORE_2002_15 = Change in # of workers with earnings greater than $3333/month, 2002-2015CHG_PCT_WRKRS_29_YNGR_2002_15 = Change in % of workers age 29 or younger, 2002-2015CHG_PCT_WRKRS_30_54_2002_15 = Change in % of workers age 30 to 54, 2002-2015CHG_PCT_WRKRS_55_OLDR_2002_15 = Change in % of workers age 55 or older, 2002-2015CHG_PCT_WRKRS_1250_LESS_2002_15 = Change in % of workers with earnings $1250/month or less, 2002-2015CHG_PCT_WRKRS_1251_3333_2002_15 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2015CHG_PCT_WRKRS_3333_MORE_2002_15 = Change in % of workers with earnings greater than $3333/month, 2002-2015- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional CommissionDate: GA DOL: 2010-2012; LEHD: 2002-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional Commission
Description: This feature class was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Dept. of Labor (DOL) and U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program to show employment data by type and sector. Data from GA DOL includes estimates of employment in each economic sector by census tract in the Atlanta Region for the years 2010 and 2012. Economic sectors correspond with those established by NAICS (North American Industry Classification System). Datasets from LEHD show total number of jobs + workers and job + worker characteristics including sector (using same NAICS classifications), worker age, and earnings, for 2014 and 2015, as well as change data from 2002-2015. All data are given by census tract, for the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -Attributes from GA DOL:AG_FORS_FISH_HUNT_JOBS_2012 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2012MINING_JOBS_2012 = Mining Jobs, 2012UTILITIES_JOBS_2012 = Utilities Sector Jobs, 2012CONSTRUCTION_JOBS_2012 = Construction Jobs, 2012MANUFACT_NON_DUR_JOBS_2012 = Manufacturing – Non-Durable Jobs, 2012MANUFACT_DURABLE_JOBS_2012 = Manufacturing – Durable Jobs, 2012WHOLESALE_TRADE_JOBS_2012 = Wholesale Trade Jobs, 2012RETAIL_TRADE_JOBS_2012 = Retail Trade Jobs, 2012TRANSPORT_WAREHSE_JOBS_2012 = Transportation & Warehousing Jobs, 2012INFORMATION_JOBS_2012 = Information Jobs, 2012FINANCE_JOBS_2012 = Finance Jobs, 2012REAL_ESTATE_JOBS_2012 = Real Estate, Rental, and Leasing Jobs, 2012PROF_SCI_TECH_JOBS_2012 = Professional, Scientific, and Technical Services Jobs, 2012MANAGEMENT_JOBS_2012 = Management of Companies Jobs, 2012ADMIN_WASTE_MGMT_JOBS_2012 = Administrative/Waste Management Jobs, 2012EDUCATION_SERVICE_JOBS_2012 = Educational Services Jobs, 2012HEALTH_SOCIAL_JOBS_2012 = Health & Social Assistance Jobs, 2012ARTS_ENT_REC_JOBS_2012 = Arts, Entertainment, & Recreation Jobs, 2012ACCOMMODATE_FOOD_JOBS_2012 = Accommodation and Food Services Jobs, 2012OTH_SERV_NOT_PUB_JOBS_2012 = Other Services (Not Pub. Admin) Jobs, 2012PUBLIC_ADMIN_JOBS_2012 = Public Administration Jobs, 2012OTHER_UNCLASS_JOBS_2012 = Other, Unclassified Sector Jobs, 2012PCT_AG_FORS_FISH_HUNT_JOBS_2012 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2012PCT_MINING_JOBS_2012 = Percent, Mining Jobs, 2012PCT_UTILITIES_JOBS_2012 = Percent, Utilities Sector Jobs, 2012PCT_CONSTRUCTION_JOBS_2012 = Percent, Construction Jobs, 2012PCT_MANUFACT_NON_DUR_JOBS_2012 = Percent, Manufacturing – Non-Durable Jobs, 2012PCT_MANUFACT_DURABLE_JOBS_2012 = Percent, Manufacturing – Durable Jobs, 2012PCT_WHOLESALE_TRADE_JOBS_2012 = Percent, Wholesale Trade Jobs, 2012PCT_RETAIL_TRADE_JOBS_2012 = Percent, Retail Trade Jobs, 2012PCT_TRANSPORT_WAREHSE_JOBS_2012 = Percent, Transportation & Warehousing Jobs, 2012PCT_INFORMATION_JOBS_2012 = Percent, Information Jobs, 2012PCT_FINANCE_JOBS_2012 = Percent, Finance Jobs, 2012PCT_REAL_ESTATE_JOBS_2012 = Percent, Real Estate, Rental, and Leasing Jobs, 2012PCT_PROF_SCI_TECH_JOBS_2012 = Percent, Professional, Scientific, and Technical Services Jobs, 2012PCT_MANAGEMENT_JOBS_2012 = Percent, Management of Companies Jobs, 2012PCT_ADMIN_WASTE_MGMT_JOBS_2012 = Percent, Administrative/Waste Management Jobs, 2012PCT_EDUCATION_SERVICE_JOBS_2012 = Percent, Educational Services Jobs, 2012PCT_HEALTH_SOCIAL_JOBS_2012 = Percent, Health & Social Assistance Jobs, 2012PCT_ARTS_ENT_REC_JOBS_2012 = Percent, Arts, Entertainment, & Recreation Jobs, 2012PCT_ACCOMMODATE_FOOD_JOBS_2012 = Percent, Accommodation and Food Services Jobs, 2012PCT_OTH_SERV_NOT_PUB_JOBS_2012 = Percent, Other Services (Not Pub. Admin) Jobs, 2012PCT_PUBLIC_ADMIN_JOBS_2012 = Percent, Public Administration Jobs, 2012PCT_OTHER_UNCLASS_JOBS_2012 = Percent, Other, Unclassified Sector Jobs, 2012AG_FORS_FISH_HUNT_JOBS_2010 = Agriculture, Forestry, Fishing, and Hunting Jobs, 2010MINING_JOBS_2010 = Mining Jobs, 2010UTILITIES_JOBS_2010 = Utilities Sector Jobs, 2010CONSTRUCTION_JOBS_2010 = Construction Jobs, 2010MANUFACT_NON_DUR_JOBS_2010 = Manufacturing – Non-Durable Jobs, 2010MANUFACT_DURABLE_JOBS_2010 = Manufacturing – Durable Jobs, 2010WHOLESALE_TRADE_JOBS_2010 = Wholesale Trade Jobs, 2010RETAIL_TRADE_JOBS_2010 = Retail Trade Jobs, 2010TRANSPORT_WAREHSE_JOBS_2010 = Transportation & Warehousing Jobs, 2010INFORMATION_JOBS_2010 = Information Jobs, 2010FINANCE_JOBS_2010 = Finance Jobs, 2010REAL_ESTATE_JOBS_2010 = Real Estate, Rental, and Leasing Jobs, 2010PROF_SCI_TECH_JOBS_2010 = Professional, Scientific, and Technical Services Jobs, 2010MANAGEMENT_JOBS_2010 = Management of Companies Jobs, 2010ADMIN_WASTE_MGMT_JOBS_2010 = Administrative/Waste Management Jobs, 2010EDUCATION_SERVICE_JOBS_2010 = Educational Services Jobs, 2010HEALTH_SOCIAL_JOBS_2010 = Health & Social Assistance Jobs, 2010ARTS_ENT_REC_JOBS_2010 = Arts, Entertainment, & Recreation Jobs, 2010ACCOMMODATE_FOOD_JOBS_2010 = Accommodation and Food Services Jobs, 2010OTH_SERV_NOT_PUB_JOBS_2010 = Other Services (Not Pub. Admin) Jobs, 2010PUBLIC_ADMIN_JOBS_2010 = Public Administration Jobs, 2010OTHER_UNCLASS_JOBS_2010 = Other, Unclassified Sector Jobs, 2010PCT_AG_FORS_FISH_HUNT_JOBS_2010 = Percent, Agriculture, Forestry, Fishing, and Hunting Jobs, 2010PCT_MINING_JOBS_2010 = Percent, Mining Jobs, 2010PCT_UTILITIES_JOBS_2010 = Percent, Utilities Sector Jobs, 2010PCT_CONSTRUCTION_JOBS_2010 = Percent, Construction Jobs, 2010PCT_MANUFACT_NON_DUR_JOBS_2010 = Percent, Manufacturing – Non-Durable Jobs, 2010PCT_MANUFACT_DURABLE_JOBS_2010 = Percent, Manufacturing – Durable Jobs, 2010PCT_WHOLESALE_TRADE_JOBS_2010 = Percent, Wholesale Trade Jobs, 2010PCT_RETAIL_TRADE_JOBS_2010 = Percent, Retail Trade Jobs, 2010PCT_TRANSPORT_WAREHSE_JOBS_2010 = Percent, Transportation & Warehousing Jobs, 2010PCT_INFORMATION_JOBS_20120 = Percent, Information Jobs, 2010PCT_FINANCE_JOBS_2010 = Percent, Finance Jobs, 2010PCT_REAL_ESTATE_JOBS_2010 = Percent, Real Estate, Rental, and Leasing Jobs, 2010PCT_PROF_SCI_TECH_JOBS_2010 = Percent, Professional, Scientific, and Technical Services Jobs, 2010PCT_MANAGEMENT_JOBS_2010 = Percent, Management of Companies Jobs, 2010PCT_ADMIN_WASTE_MGMT_JOBS_2010 = Percent, Administrative/Waste Management Jobs, 2010PCT_EDUCATION_SERVICE_JOBS_2010 = Percent, Educational Services Jobs, 2010PCT_HEALTH_SOCIAL_JOBS_2010 = Percent, Health & Social Assistance Jobs, 2010PCT_ARTS_ENT_REC_JOBS_2010 = Percent, Arts, Entertainment, & Recreation Jobs, 2010PCT_ACCOMMODATE_FOOD_JOBS_2010 = Percent, Accommodation and Food Services Jobs, 2010PCT_OTH_SERV_NOT_PUB_JOBS_2010 = Percent, Other Services (Not Pub. Admin) Jobs, 2010PCT_PUBLIC_ADMIN_JOBS_2010 = Percent, Public Administration Jobs, 2010PCT_OTHER_UNCLASS_JOBS_2010 = Percent, Other, Unclassified Sector Jobs, 2010- - - - - -Attributes from LEHD:TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_PER_SQ_MILE_2014 = Jobs per Square Mile, 2014JOB_TO_WORKER_RATIO_2014 = Job to Worker Ratio, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014PCT_JOBS_AGE_29_YNGR_2014 = % Jobs for workers age 29 or younger, 2014PCT_JOBS_AGE_30_54_2014 = % Jobs for workers age 30 to 54, 2014PCT_JOBS_AGE_55_OLDR_2014 = % Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014PCT_JOBS_EARN_1250_MO_LESS_2014 = % Jobs with earnings $1250/month or less, 2014PCT_JOBS_EARN_1251_3333_MO_2014 = % Jobs with earnings $1251/month to $3333/month, 2014PCT_JOBS_EARN_MORE_3333_MO_2014 = % Jobs with earnings greater than $3333/month, 2014- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -TOTAL_JOBS_2015 = Total number of jobs, 2015JOBS_PER_SQ_MILE_2015 = Jobs per Square Mile, 2015JOB_TO_WORKER_RATIO_2015 = Job to Worker Ratio, 2015JOBS_AGE_29_YNGR_2015 = # Jobs for workers age 29 or younger, 2015JOBS_AGE_30_54_2015 = # Jobs for workers age 30 to 54, 2015JOBS_AGE_55_OLDR_2015 = # Jobs for workers age 55 or older, 2015JOBS_EARN_1250_MO_LESS_2015 = # Jobs with earnings $1250/month or less, 2015JOBS_EARN_1251_3333_MO_2015 = # Jobs with earnings $1251/month to $3333/month, 2015JOBS_EARN_MORE_3333_MO_2015 = # Jobs with earnings greater than $3333/month, 2015PCT_JOBS_AGE_29_YNGR_2015 = % Jobs for workers age 29 or younger, 2015PCT_JOBS_AGE_30_54_2015 = % Jobs for workers age 30 to 54, 2015PCT_JOBS_AGE_55_OLDR_2015 = % Jobs for workers age 55 or older, 2015PCT_JOBS_EARN_1250_MO_LESS_2015 = % Jobs with earnings $1250/month or less, 2015PCT_JOBS_EARN_1251_3333_MO_2015 = % Jobs with earnings $1251/month to $3333/month, 2015PCT_JOBS_EARN_MORE_3333_MO_2015 = % Jobs with earnings greater than $3333/month, 2015- - - - - -JOBS_NAICS_11_AG_FOR_FISH_2015 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015JOBS_NAICS_21_MINE_OIL_GAS_2015 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015JOBS_NAICS_22_UTILITIES_2015 = # Jobs NAICS 22 (Utilities), 2015JOBS_NAICS_23_CONSTRUCTION_2015 = # Jobs NAICS 23 (Construction), 2015JOBS_NAICS_31_33_MANUFACT_2015 = # Jobs NAICS 31-33 (Manufacturing), 2015JOBS_NAICS_42_WHOLESALE_2015 = # Jobs NAICS 42 (Wholesale Trade), 2015JOBS_NAICS_44_45_RETAIL_2015 = # Jobs NAICS 44-45 (Retail Trade), 2015JOBS_NAICS_48_49_TRANS_WHS_2015 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2015JOBS_NAICS_51_INFORMATION_2015 = # Jobs NAICS 51 (Information), 2015JOBS_NAICS_52_FINANCE_INS_2015 = # Jobs NAICS 52 (Finance and Insurance), 2015JOBS_NAICS_53_REAL_ESTATE_2015 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2015JOBS_NAICS_54_PRO_SCI_TECH_2015 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2015JOBS_NAICS_55_MANAGEMENT_2015 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2015JOBS_NAICS_56_ADMIN_WASTE_2015 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015JOBS_NAICS_61_EDUCATION_2015 = # Jobs NAICS 61 (Educational Services), 2015JOBS_NAICS_62_HEALTH_SOC_2015 = # Jobs NAICS 62 (Health Care and Social Assistance), 2015JOBS_NAICS_71_ARTS_ENT_REC_2015 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2015JOBS_NAICS_72_ACCOMM_FOOD_2015 = # Jobs NAICS 72 (Accommodation and Food Services), 2015JOBS_NAICS_81_OTHER_SERV_2015 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2015JOBS_NAICS_92_PUBLIC_ADMIN_2015 = # Jobs NAICS 92 (Public Administration), 2015- - - - - -CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_15 = Change in # of jobs, 2010-2015CHNG_JOBS_AGE_29_YNGR_2010_15 = Change in # of jobs for workers age 29 or younger, 2010-2015CHNG_JOBS_AGE_30_54_2010_15 = Change in # of jobs for workers age 30 to 54, 2010-2015CHNG_JOBS_AGE_55_OLDR_2010_15 = Change in # of jobs for workers age 55 or older, 2010-2015CHNG_JOBS_1250_LESS_2010_15 = Change in # of jobs with earnings $1250/month or less, 2010-2015CHNG_JOBS_1251_3333_2010_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_JOBS_3333_MORE_2010_15 = Change in # of jobs with earnings greater than $3333/month, 2010-2015CHNG_PCT_JOBS_29_YNGR_2010_15 = Change in % of jobs for workers age 29 or younger, 2010-2015CHNG_PCT_JOBS_30_54_2010_15 = Change in % of jobs for workers age 30 to 54, 2010-2015CHNG_PCT_JOBS_55_OLDR_2010_15 = Change in % of jobs for workers age 55 or older, 2010-2015CHNG_PCT_JOBS_1250_LESS_2010_15 = Change in % of jobs with earnings $1250/month or less, 2010-2015CHNG_PCT_JOBS_1251_3333_2010_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2015CHNG_PCT_JOBS_3333_MORE_2010_15 = Change in % of jobs with earnings greater than $3333/month, 2010-2015CHNG_JOBS_2002_15 = Change in # of jobs, 2002-2015CHNG_JOBS_AGE_29_YNGR_2002_15 = Change in # of jobs for workers age 29 or younger, 2002-2015CHNG_JOBS_AGE_30_54_2002_15 = Change in # of jobs for workers age 30 to 54, 2002-2015CHNG_JOBS_AGE_55_OLDR_2002_15 = Change in # of jobs for workers age 55 or older, 2002-2015CHNG_JOBS_1250_LESS_2002_15 = Change in # of jobs with earnings $1250/month or less, 2002-2015CHNG_JOBS_1251_3333_2002_15 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_JOBS_3333_MORE_2002_15 = Change in # of jobs with earnings greater than $3333/month, 2002-2015CHNG_PCT_JOBS_29_YNGR_2002_15 = Change in % of jobs for workers age 29 or younger, 2002-2015CHNG_PCT_JOBS_30_54_2002_15 = Change in % of jobs for workers age 30 to 54, 2002-2015CHNG_PCT_JOBS_55_OLDR_2002_15 = Change in % of jobs for workers age 55 or older, 2002-2015CHNG_PCT_JOBS_1250_LESS_2002_15 = Change in % of jobs with earnings $1250/month or less, 2002-2015CHNG_PCT_JOBS_1251_3333_2002_15 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2015CHNG_PCT_JOBS_3333_MORE_2002_15 = Change in % of jobs with earnings greater than $3333/month, 2002-2015- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_PER_SQ_MILE_2014 = Workers per Square Mile, 2014WORKER_TO_JOB_RATIO_2014 = Worker to Job Ratio, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014PCT_WRKRS_AGE_29_YNGR_2014 = % Workers age 29 or younger, 2014PCT_WRKRS_AGE_30_54_2014 = % Workers age 30 to 54, 2014PCT_WRKRS_AGE_55_OLDR_2014 = % Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014PCT_WRKRS_ERN_1250_MO_LESS_2014 = % Workers earning $1250/month or less, 2014PCT_WRKRS_ERN_1251_3333_MO_2014 = % Workers earning $1251/month to $3333/month, 2014PCT_WRKRS_ERN_MORE_3333_MO_2014 = % Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -TOTAL_WRKRS_2015 = Total number of workers, 2015WRKRS_PER_SQ_MILE_2015 = Workers per Square Mile, 2015WORKER_TO_JOB_RATIO_2015 = Worker to Job Ratio, 2015WRKRS_AGE_29_YNGR_2015 = # Workers age 29 or younger, 2015WRKRS_AGE_30_54_2015 = # Workers age 30 to 54, 2015WRKRS_AGE_55_OLDR_2015 = # Workers age 55 or older, 2015WRKRS_EARN_1250_MO_LESS_2015 = # Workers earning $1250/month or less, 2015WRKRS_EARN_1251_3333_MO_2015 = # Workers earning $1251/month to $3333/month, 2015WRKRS_EARN_MORE_3333_MO_2015 = # Workers earning greater than $3333/month, 2015PCT_WRKRS_AGE_29_YNGR_2015 = % Workers age 29 or younger, 2015PCT_WRKRS_AGE_30_54_2015 = % Workers age 30 to 54, 2015PCT_WRKRS_AGE_55_OLDR_2015 = % Workers age 55 or older, 2015PCT_WRKRS_ERN_1250_MO_LESS_2015 = % Workers earning $1250/month or less, 2015PCT_WRKRS_ERN_1251_3333_MO_2015 = % Workers earning $1251/month to $3333/month, 2015PCT_WRKRS_ERN_MORE_3333_MO_2015 = % Workers earning greater than $3333/month, 2015WRKRS_NAICS_11_AG_FOR_FISH_2015 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2015WRKRS_NAICS_21_MIN_OIL_GAS_2015 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2015WRKRS_NAICS_22_UTILITIES_2015 = # Workers NAICS 22 (Utilities), 2015WRKRS_NAICS_23_CONSTRUCT_2015 = # Workers NAICS 23 (Construction), 2015WRKRS_NAICS_31_33_MANUFACT_2015 = # Workers NAICS 31-33 (Manufacturing), 2015WRKRS_NAICS_42_WHOLESALE_2015 = # Workers NAICS 42 (Wholesale Trade), 2015WRKRS_NAICS_44_45_RETAIL_2015 = # Workers NAICS 44-45 (Retail Trade), 2015WRKRS_NAICS_48_49_TRANS_WH_2015 = # Workers NAICS 48-49 (Transportation and Warehousing), 2015WRKRS_NAICS_51_INFORMATION_2015 = # Workers NAICS 51 (Information), 2015WRKRS_NAICS_52_FINANCE_INS_2015 = # Workers NAICS 52 (Finance and Insurance), 2015WRKRS_NAICS_53_REAL_ESTATE_2015 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2015WRKRS_NAICS_54_PRO_SCI_TEC_2015 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2015WRKRS_NAICS_55_MANAGEMENT_2015 = # Workers NAICS 55 (Management of Companies and Enterprises), 2015WRKRS_NAICS_56_ADMIN_WASTE_2015 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2015WRKRS_NAICS_61_EDUCATION_2015 = # Workers NAICS 61 (Educational Services), 2015WRKRS_NAICS_62_HEALTH_SOC_2015 = # Workers NAICS 62 (Health Care and Social Assistance), 2015WRKRS_NAICS_71_ART_ENT_REC_2015 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2015WRKRS_NAICS_72_ACCOMM_FOOD_2015 = # Workers NAICS 72 (Accommodation and Food Services), 2015WRKRS_NAICS_81_OTHER_SERV_2015 = # Workers NAICS 81 (Other Services [except Public Administration]), 2015WRKRS_NAICS_92_PUB_ADMIN_2015 = # Workers NAICS 92 (Public Administration), 2015- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_15 = Change in # of workers, 2010-2015CHG_WRKRS_AGE_29_YNGR_2010_15 = Change in # of workers age 29 or younger, 2010-2015CHG_WRKRS_AGE_30_54_2010_15 = Change in # of workers age 30 to 54, 2010-2015CHG_WRKRS_AGE_55_OLDR_2010_15 = Change in # of workers age 55 or older, 2010-2015CHG_WRKRS_1250_LESS_2010_15 = Change in # of workers with earnings $1250/month or less, 2010-2015CHG_WRKRS_1251_3333_2010_15 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2015CHG_WRKRS_3333_MORE_2010_15 = Change in # of workers with earnings greater than $3333/month, 2010-2015CHG_PCT_WRKRS_29_YNGR_2010_15 = Change in % of workers age 29 or younger, 2010-2015CHG_PCT_WRKRS_30_54_2010_15 = Change in % of workers age 30 to 54, 2010-2015CHG_PCT_WRKRS_55_OLDR_2010_15 = Change in % of workers age 55 or older, 2010-2015CHG_PCT_WRKRS_1250_LESS_2010_15 = Change in % of workers with earnings $1250/month or less, 2010-2015CHG_PCT_WRKRS_1251_3333_2010_15 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2015CHG_PCT_WRKRS_3333_MORE_2010_15 = Change in % of workers with earnings greater than $3333/month, 2010-2015CHANGE_WORKERS_2002_15 = Change in # of workers, 2002-2015CHG_WRKRS_AGE_29_YNGR_2002_15 = Change in # of workers age 29 or younger, 2002-2015CHG_WRKRS_AGE_30_54_2002_15 = Change in # of workers age 30 to 54, 2002-2015CHG_WRKRS_AGE_55_OLDR_2002_15 = Change in # of workers age 55 or older, 2002-2015CHG_WRKRS_1250_LESS_2002_15 = Change in # of workers with earnings $1250/month or less, 2002-2015CHG_WRKRS_1251_3333_2002_15 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2015CHG_WRKRS_3333_MORE_2002_15 = Change in # of workers with earnings greater than $3333/month, 2002-2015CHG_PCT_WRKRS_29_YNGR_2002_15 = Change in % of workers age 29 or younger, 2002-2015CHG_PCT_WRKRS_30_54_2002_15 = Change in % of workers age 30 to 54, 2002-2015CHG_PCT_WRKRS_55_OLDR_2002_15 = Change in % of workers age 55 or older, 2002-2015CHG_PCT_WRKRS_1250_LESS_2002_15 = Change in % of workers with earnings $1250/month or less, 2002-2015CHG_PCT_WRKRS_1251_3333_2002_15 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2015CHG_PCT_WRKRS_3333_MORE_2002_15 = Change in % of workers with earnings greater than $3333/month, 2002-2015- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional CommissionDate: GA DOL: 2010-2012; LEHD: 2002-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Dept. of Labor, U.S. Census Bureau (LEHD), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Community Reinvestment Act (CRA) to show total number and amount of small business loans, by loan size and by year, for 2012-2016, by census tract in the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from CRA:Num_SBloans_lessEq_100k_2012 = Number of Small Business (SB) Loans Originated <=$100k, 2012Num_SBloans_100k_250k_2012 = # SB Loans Originated $100-250k, 2012Num_SBloans_250k_1M_2012 = # SB Loans Originated $250k-$1M, 2012Num_SBloans_Rev_lessEq_1M_2012 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_SBloans_Orig_2012 = Total # SB Loans Originated, 2012PctNum_SBloans_lessEq_100k_2012 = % of # SB Loans Originated <=$100k, 2012PctNum_SBloans_100k_250k_2012 = % of # SB Loans Originated $100k-$250k, 2012PctNum_SBloans_250k_1M_2012 = % of # SB Loans Originated $250k-$1M, 2012Pct_SBloans_Rev_lessEq_1M_2012 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotAmt_Sbloans_lessEq100k_2012 = Total Amt SB Loans Originated <=$100k, 2012 (in $000s)TotAmt_Sbloans_100k_250k_2012 = Total Amt SB Loans Originated $100-250k, 2012 (in $000s)TotAmt_Sbloans_250k_1M_2012 = Total Amt SB Loans Originated $250k-$1M, 2012 (in $000s)TotAmt_SBlnsRevless1M_2012 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2012 (in $000s)TotAmt_SBloans_2012 = Total Amt SB Loans Originated, 2012 (in $000s)PctTotAmt_SBlns_less_100k_2012 = % of Total Amount SB Loans Originated <=$100k, 2012PctTotAmt_SBloans_100k250k_2012 = % of Total Amount SB Loans Originated $100k-$250k, 2012PctTotAmt_SBloans_250k_1M_2012 = % of Total Amount SB Loans Originated $250k-$1M, 2012PctAmt_SBlns_Rev_lessEq_1M_2012 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_Sbloans_Pur_2012 = Total Number of SB Loans Purchased 2012TotAmt_Sbloans_Pur_2012 = Total Amount of SB Loans Purchased 2012 (in $000s)TotNum_SBloans_Orig_SqMi_2012 = Total SB Loans Originated, per sq mile, 2012TotAmt_SBloans_Orig_SqMi_2012 = Amount of SB Loans Originated, per sq mile, 2012 (in $000s)- - - - - -Num_SBloans_lessEq_100k_2013 = Number of Small Business (SB) Loans Originated <=$100k, 2013Num_SBloans_100k_250k_2013 = Number of SB Loans Originated $100-250k, 2013Num_SBloans_250k_1M_2013 = Number of SB Loans Originated $250k-$1M, 2013Num_SBloans_Rev_lessEq_1M_2013 = Number of SB Loans Originated With Gross Annual Revenue <=$1M, 2013TotNum_SBloans_Orig_2013 = Total Number of SB Loans Originated, 2013Tot_SBloans_Orig_perSqMi_2013 = Total Number of SB Loans Originated, per sq mile, 2013PctNum_SBloans_lessEq_100k_2013 = Percentage of Number of SB Loans Originated <=$100k, 2013PctNum_SBloans_100k_250k_2013 = Percentage of Number of SB Loans Originated $100k-$250k, 2013PctNum_SBloans_250k_1M_2013 = Percentage of Number of SB Loans Originated $250k-$1M, 2013Pct_SBloans_Rev_lessEq_1M_2013 = Percentage all SB Loans Originated with Annual Revenue <=$1M, 2013TotAmt_Sbloans_lessEq100k_2013 = Total Amount of SB Loans Originated <=$100k, 2013 ($000s)TotAmt_Sbloans_100k_250k_2013 = Total Amount of SB Loans Originated $100-250k, 2013 ($000s)TotAmt_Sbloans_250k_1M_2013 = Total Amount of SB Loans Originated $250k-$1M, 2013 ($000s)TotAmt_SBlnsRevless1M_2013 = Total SB Amount of Loans Originated With Annual Revenue <=$1M, 2013 ($000s)TotAmt_SBloans_2013 = Total Amount of SB Loans Originated, 2013 ($000s)TotAmt_SBloansOrig_perSqMi_2013 = Total Amount of SB Loans Originated, per sq mile, 2013 ($000s)PctTotAmt_SBlns_less_100k_2013 = Percentage of Total SB Loans Originated <=$100k, 2013PctTotAmt_SBloans_100k250k_2013 = Percentage of Total SB Loans Originated $100k-$250k, 2013PctTotAmt_SBloans_250k_1M_2013 = Percentage of Total SB Loans Originated $250k-$1M, 2013PctAmt_SBlns_Rev_lessEq_1M_2013 = Percentage of SB Loan Amount Originated With Gross Annual Revenue <=$1M, 2013Chg_Num_Sbloans_Orig_2012_2013 = Change: Total SB Loans Originated, 2012-2013Chg_Amt_Sbloans_Orig_2012_2013 = Change: Total SB Loan Amount Originated, 2012-2013 ($000s)- - - - - -Num_SBloans_lessEq_100k_2014 = Number of Small Business (SB) Loans Originated <=$100k, 2014Num_SBloans_100k_250k_2014 = # SB Loans Originated $100-250k, 2014Num_SBloans_250k_1M_2014 = # SB Loans Originated $250k-$1M, 2014Num_SBloans_Rev_lessEq_1M_2014 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotNum_SBloans_Orig_2014 = Total # SB Loans Originated, 2014Tot_SBloans_Orig_perSqMi_2014 = Total SB Loans Originated, per sq mile, 2014PctNum_SBloans_lessEq_100k_2014 = % of # SB Loans Originated <=$100k, 2014PctNum_SBloans_100k_250k_2014 = % of # SB Loans Originated $100k-$250k, 2014PctNum_SBloans_250k_1M_2014 = % of # SB Loans Originated $250k-$1M, 2014Pct_SBloans_Rev_lessEq_1M_2014 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotAmt_Sbloans_lessEq100k_2014 = Total Amt SB Loans Originated <=$100k, 2014 (in $000s)TotAmt_Sbloans_100k_250k_2014 = Total Amt SB Loans Originated $100-250k, 2014 (in $000s)TotAmt_Sbloans_250k_1M_2014 = Total Amt SB Loans Originated $250k-$1M, 2014 (in $000s)TotAmt_SBlnsRevless1M_2014 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2014 ($000s)TotAmt_SBloans_2014 = Total Amt SB Loans Originated, 2014 ($000s)TotAmt_SBloansOrig_perSqMi_2014 = Amount of SB Loans Originated, per sq mile, 2014PctTotAmt_SBlns_less_100k_2014 = % of Total Amount SB Loans Originated <=$100k, 2014PctTotAmt_SBloans_100k250k_2014 = % of Total Amount SB Loans Originated $100k-$250k, 2014PctTotAmt_SBloans_250k_1M_2014 = % of Total Amount SB Loans Originated $250k-$1M, 2014PctAmt_SBlns_Rev_lessEq_1M_2014 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2014Chg_TotNum_SBloans_Orig_2013_14 = Change in the Total # of SB Loans Originated, 2013-2014Chg_Amt_SBlns_Orig_2013_14 = Change in the Total Amount of SB Loans Originated, 2013-2014 ($000s)Chg_TotNum_SBloans_Orig_2012_14 = Change in the Total # of SB Loans Originated, 2012-2014Chg_Amt_SBlns_Orig_2012_14 = Change in the Total Amount of SB Loans Originated, 2012-2014 ($000s)- - - - - -Num_SBloans_lessEq_100k_2015 = Number of Small Business (SB) Loans Originated <=$100k, 2015Num_SBloans_100k_250k_2015 = # SB Loans Originated $100-250k, 2015Num_SBloans_250k_1M_2015 = # SB Loans Originated $250k-$1M, 2015Num_SBloans_Rev_lessEq_1M_2015 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotNum_SBloans_Orig_2015 = Total # SB Loans Originated, 2015PctNum_SBloans_lessEq_100k_2015 = % of # SB Loans Originated <=$100k, 2015PctNum_SBloans_100k_250k_2015 = % of # SB Loans Originated $100k-$250k, 2015PctNum_SBloans_250k_1M_2015 = % of # SB Loans Originated $250k-$1M, 2015PctNum_SBlns_Rev_lessEq_1M_2015 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotAmt_Sbloans_lessEq100k_2015 = Total Amt SB Loans Originated <=$100k, 2015 (in $000s)TotAmt_Sbloans_100k_250k_2015 = Total Amt SB Loans Originated $100-250k, 2015 (in $000s)TotAmt_Sbloans_250k_1M_2015 = Total Amt SB Loans Originated $250k-$1M, 2015 (in $000s)TotAmt_inKs_SBlnsRevless1M_2015 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_inKs_SBloans_2015 = Total AMT SB Loans Originated, 2015 (in $000s)PctTotAmt_SBlns_less_100k_2015 = % of Total Amount SB Loans Originated <=$100k, 2015PctTotAmt_SBloans_100k250k_2015 = % of Total Amount SB Loans Originated $100k-$250k, 2015PctTotAmt_SBloans_250k_1M_2015 = % of Total Amount SB Loans Originated $250k-$1M, 2015PctAmt_SBlns_Rev_lessEq_1M_2015 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2015Num_SblnsPur_lessEq_100k_2015 = # SB Loans Purchased <=$100k, 2015Num_SblnsPur_100k_250k_2015 = # SB Loans Purchased $100-250k, 2015Num_SblnsPur_250k_1M_2015 = # SB Loans Purchased $250k-$1M, 2015Num_SblnsPur_Rev_less1M_2015 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Num_Sbloans_Pur_2015 = Total # SB Loans Purchased, 2015PctNum_SblnsPur_less_100k_2015 = % of # SB Loans Purchased <=$100k, 2015PctNum_SblnsPur_100k_250k_2015 = % of # SB Loans Purchased $100k-$250k, 2015PctNum_SblnsPur_250k_1M_2015 = % of # SB Loans Purchased $250k-$1M, 2015PctNum_SblnsPur_Rev_less1M_2015 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015TotAmt_SblnsPur_lessEq100k_2015 = Total Amt SB Loans Purchased <=$100k, 2015 (in $000s)TotAmt_SblnsPur_100k_250k_2015 = Total Amt SB Loans Purchased $100-250k, 2015 (in $000s)TotAmt_SblnsPur_250k_1M_2015 = Total Amt SB Loans Purchased $250k-$1M, 2015 (in $000s)TotAmt_SblnsPur_Rev_less1M_2015 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_Sbloans_Pur_2015 = Total AMT SB Loans Purchased, 2015 (in $000s)PctTot_SBlnsPur_lessEq100k_2015 = % of Total SB Loans Purchased <=$100k, 2015PctTot_SBlnsPur_100k_250k_2015 = % of Total SB Loans Purchased $100k-$250k, 2015PctTot_SBlnsPur_250k_1M_2015 = % of Total SB Loans Purchased $250k-$1M, 2015PctAmt_SBlnsPur_Rev_less1M_2015 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Chg_TotNum_SBloans_Orig_2014_15 = Change in the Total # of SB Loans Originated, 2014-2015Chg_Amt_SBlns_Orig_2014_15_inKs = Change in the Total Amount of SB Loans Originated, 2014-2015 ($000s)- - - - - -Num_SBloans_lessEq_100k_2016 = Number of Small Business (SB) Loans Originated <=$100k, 2016Num_SBloans_100k_250k_2016 = # SB Loans Originated $100-250k, 2016Num_SBloans_250k_1M_2016 = # SB Loans Originated $250k-$1M, 2016Num_SBloans_Rev_lessEq_1M_2016 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotNum_SBloans_Orig_2016 = Total # SB Loans Originated, 2016PctNum_SBloans_lessEq_100k_2016 = % of # SB Loans Originated <=$100k, 2016PctNum_SBloans_100k_250k_2016 = % of # SB Loans Originated $100k-$250k, 2016PctNum_SBloans_250k_1M_2016 = % of # SB Loans Originated $250k-$1M, 2016PctNum_SBlns_Rev_lessEq_1M_2016 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotAmt_Sbloans_lessEq100k_2016 = Total Amt SB Loans Originated <=$100k, 2016 (in $000s)TotAmt_Sbloans_100k_250k_2016 = Total Amt SB Loans Originated $100-250k, 2016 (in $000s)TotAmt_Sbloans_250k_1M_2016 = Total Amt SB Loans Originated $250k-$1M, 2016 (in $000s)TotAmt_inKs_SBlnsRevless1M_2016 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_inKs_SBloans_2016 = Total AMT SB Loans Originated, 2016 (in $000s)PctTotAmt_SBlns_less_100k_2016 = % of Total Amount SB Loans Originated <=$100k, 2016PctTotAmt_SBloans_100k250k_2016 = % of Total Amount SB Loans Originated $100k-$250k, 2016PctTotAmt_SBloans_250k_1M_2016 = % of Total Amount SB Loans Originated $250k-$1M, 2016PctAmt_SBlns_Rev_lessEq_1M_2016 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2016Num_SblnsPur_lessEq_100k_2016 = # SB Loans Purchased <=$100k, 2016Num_SblnsPur_100k_250k_2016 = # SB Loans Purchased $100-250k, 2016Num_SblnsPur_250k_1M_2016 = # SB Loans Purchased $250k-$1M, 2016Num_SblnsPur_Rev_less1M_2016 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Num_Sbloans_Pur_2016 = Total # SB Loans Purchased, 2016PctNum_SblnsPur_less_100k_2016 = % of # SB Loans Purchased <=$100k, 2016PctNum_SblnsPur_100k_250k_2016 = % of # SB Loans Purchased $100k-$250k, 2016PctNum_SblnsPur_250k_1M_2016 = % of # SB Loans Purchased $250k-$1M, 2016PctNum_SblnsPur_Rev_less1M_2016 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016TotAmt_SblnsPur_lessEq100k_2016 = Total Amt SB Loans Purchased <=$100k, 2016 (in $000s)TotAmt_SblnsPur_100k_250k_2016 = Total Amt SB Loans Purchased $100-250k, 2016 (in $000s)TotAmt_SblnsPur_250k_1M_2016 = Total Amt SB Loans Purchased $250k-$1M, 2016 (in $000s)TotAmt_SblnsPur_Rev_less1M_2016 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_Sbloans_Pur_2016 = Total AMT SB Loans Purchased, 2016 (in $000s)PctTot_SBlnsPur_lessEq100k_2016 = % of Total SB Loans Purchased <=$100k, 2016PctTot_SBlnsPur_100k_250k_2016 = % of Total SB Loans Purchased $100k-$250k, 2016PctTot_SBlnsPur_250k_1M_2016 = % of Total SB Loans Purchased $250k-$1M, 2016PctAmt_SBlnsPur_Rev_less1M_2016 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Chg_TotNum_SBloans_Orig_2015_16 = Change in the Total # of SB Loans Originated, 2014-2016Chg_Amt_SBlns_Orig_2015_16_inKs = Change in the Total Amount of SB Loans Originated, 2014-2016 ($000s)Source: Community Reinvestment Act (CRA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Community Reinvestment Act (CRA), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Community Reinvestment Act (CRA) to show total number and amount of small business loans, by loan size and by year, for 2012-2016, by census tract in the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from CRA:Num_SBloans_lessEq_100k_2012 = Number of Small Business (SB) Loans Originated <=$100k, 2012Num_SBloans_100k_250k_2012 = # SB Loans Originated $100-250k, 2012Num_SBloans_250k_1M_2012 = # SB Loans Originated $250k-$1M, 2012Num_SBloans_Rev_lessEq_1M_2012 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_SBloans_Orig_2012 = Total # SB Loans Originated, 2012PctNum_SBloans_lessEq_100k_2012 = % of # SB Loans Originated <=$100k, 2012PctNum_SBloans_100k_250k_2012 = % of # SB Loans Originated $100k-$250k, 2012PctNum_SBloans_250k_1M_2012 = % of # SB Loans Originated $250k-$1M, 2012Pct_SBloans_Rev_lessEq_1M_2012 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotAmt_Sbloans_lessEq100k_2012 = Total Amt SB Loans Originated <=$100k, 2012 (in $000s)TotAmt_Sbloans_100k_250k_2012 = Total Amt SB Loans Originated $100-250k, 2012 (in $000s)TotAmt_Sbloans_250k_1M_2012 = Total Amt SB Loans Originated $250k-$1M, 2012 (in $000s)TotAmt_SBlnsRevless1M_2012 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2012 (in $000s)TotAmt_SBloans_2012 = Total Amt SB Loans Originated, 2012 (in $000s)PctTotAmt_SBlns_less_100k_2012 = % of Total Amount SB Loans Originated <=$100k, 2012PctTotAmt_SBloans_100k250k_2012 = % of Total Amount SB Loans Originated $100k-$250k, 2012PctTotAmt_SBloans_250k_1M_2012 = % of Total Amount SB Loans Originated $250k-$1M, 2012PctAmt_SBlns_Rev_lessEq_1M_2012 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_Sbloans_Pur_2012 = Total Number of SB Loans Purchased 2012TotAmt_Sbloans_Pur_2012 = Total Amount of SB Loans Purchased 2012 (in $000s)TotNum_SBloans_Orig_SqMi_2012 = Total SB Loans Originated, per sq mile, 2012TotAmt_SBloans_Orig_SqMi_2012 = Amount of SB Loans Originated, per sq mile, 2012 (in $000s)- - - - - -Num_SBloans_lessEq_100k_2013 = Number of Small Business (SB) Loans Originated <=$100k, 2013Num_SBloans_100k_250k_2013 = Number of SB Loans Originated $100-250k, 2013Num_SBloans_250k_1M_2013 = Number of SB Loans Originated $250k-$1M, 2013Num_SBloans_Rev_lessEq_1M_2013 = Number of SB Loans Originated With Gross Annual Revenue <=$1M, 2013TotNum_SBloans_Orig_2013 = Total Number of SB Loans Originated, 2013Tot_SBloans_Orig_perSqMi_2013 = Total Number of SB Loans Originated, per sq mile, 2013PctNum_SBloans_lessEq_100k_2013 = Percentage of Number of SB Loans Originated <=$100k, 2013PctNum_SBloans_100k_250k_2013 = Percentage of Number of SB Loans Originated $100k-$250k, 2013PctNum_SBloans_250k_1M_2013 = Percentage of Number of SB Loans Originated $250k-$1M, 2013Pct_SBloans_Rev_lessEq_1M_2013 = Percentage all SB Loans Originated with Annual Revenue <=$1M, 2013TotAmt_Sbloans_lessEq100k_2013 = Total Amount of SB Loans Originated <=$100k, 2013 ($000s)TotAmt_Sbloans_100k_250k_2013 = Total Amount of SB Loans Originated $100-250k, 2013 ($000s)TotAmt_Sbloans_250k_1M_2013 = Total Amount of SB Loans Originated $250k-$1M, 2013 ($000s)TotAmt_SBlnsRevless1M_2013 = Total SB Amount of Loans Originated With Annual Revenue <=$1M, 2013 ($000s)TotAmt_SBloans_2013 = Total Amount of SB Loans Originated, 2013 ($000s)TotAmt_SBloansOrig_perSqMi_2013 = Total Amount of SB Loans Originated, per sq mile, 2013 ($000s)PctTotAmt_SBlns_less_100k_2013 = Percentage of Total SB Loans Originated <=$100k, 2013PctTotAmt_SBloans_100k250k_2013 = Percentage of Total SB Loans Originated $100k-$250k, 2013PctTotAmt_SBloans_250k_1M_2013 = Percentage of Total SB Loans Originated $250k-$1M, 2013PctAmt_SBlns_Rev_lessEq_1M_2013 = Percentage of SB Loan Amount Originated With Gross Annual Revenue <=$1M, 2013Chg_Num_Sbloans_Orig_2012_2013 = Change: Total SB Loans Originated, 2012-2013Chg_Amt_Sbloans_Orig_2012_2013 = Change: Total SB Loan Amount Originated, 2012-2013 ($000s)- - - - - -Num_SBloans_lessEq_100k_2014 = Number of Small Business (SB) Loans Originated <=$100k, 2014Num_SBloans_100k_250k_2014 = # SB Loans Originated $100-250k, 2014Num_SBloans_250k_1M_2014 = # SB Loans Originated $250k-$1M, 2014Num_SBloans_Rev_lessEq_1M_2014 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotNum_SBloans_Orig_2014 = Total # SB Loans Originated, 2014Tot_SBloans_Orig_perSqMi_2014 = Total SB Loans Originated, per sq mile, 2014PctNum_SBloans_lessEq_100k_2014 = % of # SB Loans Originated <=$100k, 2014PctNum_SBloans_100k_250k_2014 = % of # SB Loans Originated $100k-$250k, 2014PctNum_SBloans_250k_1M_2014 = % of # SB Loans Originated $250k-$1M, 2014Pct_SBloans_Rev_lessEq_1M_2014 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotAmt_Sbloans_lessEq100k_2014 = Total Amt SB Loans Originated <=$100k, 2014 (in $000s)TotAmt_Sbloans_100k_250k_2014 = Total Amt SB Loans Originated $100-250k, 2014 (in $000s)TotAmt_Sbloans_250k_1M_2014 = Total Amt SB Loans Originated $250k-$1M, 2014 (in $000s)TotAmt_SBlnsRevless1M_2014 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2014 ($000s)TotAmt_SBloans_2014 = Total Amt SB Loans Originated, 2014 ($000s)TotAmt_SBloansOrig_perSqMi_2014 = Amount of SB Loans Originated, per sq mile, 2014PctTotAmt_SBlns_less_100k_2014 = % of Total Amount SB Loans Originated <=$100k, 2014PctTotAmt_SBloans_100k250k_2014 = % of Total Amount SB Loans Originated $100k-$250k, 2014PctTotAmt_SBloans_250k_1M_2014 = % of Total Amount SB Loans Originated $250k-$1M, 2014PctAmt_SBlns_Rev_lessEq_1M_2014 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2014Chg_TotNum_SBloans_Orig_2013_14 = Change in the Total # of SB Loans Originated, 2013-2014Chg_Amt_SBlns_Orig_2013_14 = Change in the Total Amount of SB Loans Originated, 2013-2014 ($000s)Chg_TotNum_SBloans_Orig_2012_14 = Change in the Total # of SB Loans Originated, 2012-2014Chg_Amt_SBlns_Orig_2012_14 = Change in the Total Amount of SB Loans Originated, 2012-2014 ($000s)- - - - - -Num_SBloans_lessEq_100k_2015 = Number of Small Business (SB) Loans Originated <=$100k, 2015Num_SBloans_100k_250k_2015 = # SB Loans Originated $100-250k, 2015Num_SBloans_250k_1M_2015 = # SB Loans Originated $250k-$1M, 2015Num_SBloans_Rev_lessEq_1M_2015 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotNum_SBloans_Orig_2015 = Total # SB Loans Originated, 2015PctNum_SBloans_lessEq_100k_2015 = % of # SB Loans Originated <=$100k, 2015PctNum_SBloans_100k_250k_2015 = % of # SB Loans Originated $100k-$250k, 2015PctNum_SBloans_250k_1M_2015 = % of # SB Loans Originated $250k-$1M, 2015PctNum_SBlns_Rev_lessEq_1M_2015 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotAmt_Sbloans_lessEq100k_2015 = Total Amt SB Loans Originated <=$100k, 2015 (in $000s)TotAmt_Sbloans_100k_250k_2015 = Total Amt SB Loans Originated $100-250k, 2015 (in $000s)TotAmt_Sbloans_250k_1M_2015 = Total Amt SB Loans Originated $250k-$1M, 2015 (in $000s)TotAmt_inKs_SBlnsRevless1M_2015 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_inKs_SBloans_2015 = Total AMT SB Loans Originated, 2015 (in $000s)PctTotAmt_SBlns_less_100k_2015 = % of Total Amount SB Loans Originated <=$100k, 2015PctTotAmt_SBloans_100k250k_2015 = % of Total Amount SB Loans Originated $100k-$250k, 2015PctTotAmt_SBloans_250k_1M_2015 = % of Total Amount SB Loans Originated $250k-$1M, 2015PctAmt_SBlns_Rev_lessEq_1M_2015 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2015Num_SblnsPur_lessEq_100k_2015 = # SB Loans Purchased <=$100k, 2015Num_SblnsPur_100k_250k_2015 = # SB Loans Purchased $100-250k, 2015Num_SblnsPur_250k_1M_2015 = # SB Loans Purchased $250k-$1M, 2015Num_SblnsPur_Rev_less1M_2015 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Num_Sbloans_Pur_2015 = Total # SB Loans Purchased, 2015PctNum_SblnsPur_less_100k_2015 = % of # SB Loans Purchased <=$100k, 2015PctNum_SblnsPur_100k_250k_2015 = % of # SB Loans Purchased $100k-$250k, 2015PctNum_SblnsPur_250k_1M_2015 = % of # SB Loans Purchased $250k-$1M, 2015PctNum_SblnsPur_Rev_less1M_2015 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015TotAmt_SblnsPur_lessEq100k_2015 = Total Amt SB Loans Purchased <=$100k, 2015 (in $000s)TotAmt_SblnsPur_100k_250k_2015 = Total Amt SB Loans Purchased $100-250k, 2015 (in $000s)TotAmt_SblnsPur_250k_1M_2015 = Total Amt SB Loans Purchased $250k-$1M, 2015 (in $000s)TotAmt_SblnsPur_Rev_less1M_2015 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_Sbloans_Pur_2015 = Total AMT SB Loans Purchased, 2015 (in $000s)PctTot_SBlnsPur_lessEq100k_2015 = % of Total SB Loans Purchased <=$100k, 2015PctTot_SBlnsPur_100k_250k_2015 = % of Total SB Loans Purchased $100k-$250k, 2015PctTot_SBlnsPur_250k_1M_2015 = % of Total SB Loans Purchased $250k-$1M, 2015PctAmt_SBlnsPur_Rev_less1M_2015 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Chg_TotNum_SBloans_Orig_2014_15 = Change in the Total # of SB Loans Originated, 2014-2015Chg_Amt_SBlns_Orig_2014_15_inKs = Change in the Total Amount of SB Loans Originated, 2014-2015 ($000s)- - - - - -Num_SBloans_lessEq_100k_2016 = Number of Small Business (SB) Loans Originated <=$100k, 2016Num_SBloans_100k_250k_2016 = # SB Loans Originated $100-250k, 2016Num_SBloans_250k_1M_2016 = # SB Loans Originated $250k-$1M, 2016Num_SBloans_Rev_lessEq_1M_2016 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotNum_SBloans_Orig_2016 = Total # SB Loans Originated, 2016PctNum_SBloans_lessEq_100k_2016 = % of # SB Loans Originated <=$100k, 2016PctNum_SBloans_100k_250k_2016 = % of # SB Loans Originated $100k-$250k, 2016PctNum_SBloans_250k_1M_2016 = % of # SB Loans Originated $250k-$1M, 2016PctNum_SBlns_Rev_lessEq_1M_2016 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotAmt_Sbloans_lessEq100k_2016 = Total Amt SB Loans Originated <=$100k, 2016 (in $000s)TotAmt_Sbloans_100k_250k_2016 = Total Amt SB Loans Originated $100-250k, 2016 (in $000s)TotAmt_Sbloans_250k_1M_2016 = Total Amt SB Loans Originated $250k-$1M, 2016 (in $000s)TotAmt_inKs_SBlnsRevless1M_2016 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_inKs_SBloans_2016 = Total AMT SB Loans Originated, 2016 (in $000s)PctTotAmt_SBlns_less_100k_2016 = % of Total Amount SB Loans Originated <=$100k, 2016PctTotAmt_SBloans_100k250k_2016 = % of Total Amount SB Loans Originated $100k-$250k, 2016PctTotAmt_SBloans_250k_1M_2016 = % of Total Amount SB Loans Originated $250k-$1M, 2016PctAmt_SBlns_Rev_lessEq_1M_2016 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2016Num_SblnsPur_lessEq_100k_2016 = # SB Loans Purchased <=$100k, 2016Num_SblnsPur_100k_250k_2016 = # SB Loans Purchased $100-250k, 2016Num_SblnsPur_250k_1M_2016 = # SB Loans Purchased $250k-$1M, 2016Num_SblnsPur_Rev_less1M_2016 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Num_Sbloans_Pur_2016 = Total # SB Loans Purchased, 2016PctNum_SblnsPur_less_100k_2016 = % of # SB Loans Purchased <=$100k, 2016PctNum_SblnsPur_100k_250k_2016 = % of # SB Loans Purchased $100k-$250k, 2016PctNum_SblnsPur_250k_1M_2016 = % of # SB Loans Purchased $250k-$1M, 2016PctNum_SblnsPur_Rev_less1M_2016 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016TotAmt_SblnsPur_lessEq100k_2016 = Total Amt SB Loans Purchased <=$100k, 2016 (in $000s)TotAmt_SblnsPur_100k_250k_2016 = Total Amt SB Loans Purchased $100-250k, 2016 (in $000s)TotAmt_SblnsPur_250k_1M_2016 = Total Amt SB Loans Purchased $250k-$1M, 2016 (in $000s)TotAmt_SblnsPur_Rev_less1M_2016 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_Sbloans_Pur_2016 = Total AMT SB Loans Purchased, 2016 (in $000s)PctTot_SBlnsPur_lessEq100k_2016 = % of Total SB Loans Purchased <=$100k, 2016PctTot_SBlnsPur_100k_250k_2016 = % of Total SB Loans Purchased $100k-$250k, 2016PctTot_SBlnsPur_250k_1M_2016 = % of Total SB Loans Purchased $250k-$1M, 2016PctAmt_SBlnsPur_Rev_less1M_2016 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Chg_TotNum_SBloans_Orig_2015_16 = Change in the Total # of SB Loans Originated, 2014-2016Chg_Amt_SBlns_Orig_2015_16_inKs = Change in the Total Amount of SB Loans Originated, 2014-2016 ($000s)Source: Community Reinvestment Act (CRA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Community Reinvestment Act (CRA), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Community Reinvestment Act (CRA) to show total number and amount of small business loans, by loan size and by year, for 2012-2016, by census tract in the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from CRA:Num_SBloans_lessEq_100k_2012 = Number of Small Business (SB) Loans Originated <=$100k, 2012Num_SBloans_100k_250k_2012 = # SB Loans Originated $100-250k, 2012Num_SBloans_250k_1M_2012 = # SB Loans Originated $250k-$1M, 2012Num_SBloans_Rev_lessEq_1M_2012 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_SBloans_Orig_2012 = Total # SB Loans Originated, 2012PctNum_SBloans_lessEq_100k_2012 = % of # SB Loans Originated <=$100k, 2012PctNum_SBloans_100k_250k_2012 = % of # SB Loans Originated $100k-$250k, 2012PctNum_SBloans_250k_1M_2012 = % of # SB Loans Originated $250k-$1M, 2012Pct_SBloans_Rev_lessEq_1M_2012 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotAmt_Sbloans_lessEq100k_2012 = Total Amt SB Loans Originated <=$100k, 2012 (in $000s)TotAmt_Sbloans_100k_250k_2012 = Total Amt SB Loans Originated $100-250k, 2012 (in $000s)TotAmt_Sbloans_250k_1M_2012 = Total Amt SB Loans Originated $250k-$1M, 2012 (in $000s)TotAmt_SBlnsRevless1M_2012 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2012 (in $000s)TotAmt_SBloans_2012 = Total Amt SB Loans Originated, 2012 (in $000s)PctTotAmt_SBlns_less_100k_2012 = % of Total Amount SB Loans Originated <=$100k, 2012PctTotAmt_SBloans_100k250k_2012 = % of Total Amount SB Loans Originated $100k-$250k, 2012PctTotAmt_SBloans_250k_1M_2012 = % of Total Amount SB Loans Originated $250k-$1M, 2012PctAmt_SBlns_Rev_lessEq_1M_2012 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_Sbloans_Pur_2012 = Total Number of SB Loans Purchased 2012TotAmt_Sbloans_Pur_2012 = Total Amount of SB Loans Purchased 2012 (in $000s)TotNum_SBloans_Orig_SqMi_2012 = Total SB Loans Originated, per sq mile, 2012TotAmt_SBloans_Orig_SqMi_2012 = Amount of SB Loans Originated, per sq mile, 2012 (in $000s)- - - - - -Num_SBloans_lessEq_100k_2013 = Number of Small Business (SB) Loans Originated <=$100k, 2013Num_SBloans_100k_250k_2013 = Number of SB Loans Originated $100-250k, 2013Num_SBloans_250k_1M_2013 = Number of SB Loans Originated $250k-$1M, 2013Num_SBloans_Rev_lessEq_1M_2013 = Number of SB Loans Originated With Gross Annual Revenue <=$1M, 2013TotNum_SBloans_Orig_2013 = Total Number of SB Loans Originated, 2013Tot_SBloans_Orig_perSqMi_2013 = Total Number of SB Loans Originated, per sq mile, 2013PctNum_SBloans_lessEq_100k_2013 = Percentage of Number of SB Loans Originated <=$100k, 2013PctNum_SBloans_100k_250k_2013 = Percentage of Number of SB Loans Originated $100k-$250k, 2013PctNum_SBloans_250k_1M_2013 = Percentage of Number of SB Loans Originated $250k-$1M, 2013Pct_SBloans_Rev_lessEq_1M_2013 = Percentage all SB Loans Originated with Annual Revenue <=$1M, 2013TotAmt_Sbloans_lessEq100k_2013 = Total Amount of SB Loans Originated <=$100k, 2013 ($000s)TotAmt_Sbloans_100k_250k_2013 = Total Amount of SB Loans Originated $100-250k, 2013 ($000s)TotAmt_Sbloans_250k_1M_2013 = Total Amount of SB Loans Originated $250k-$1M, 2013 ($000s)TotAmt_SBlnsRevless1M_2013 = Total SB Amount of Loans Originated With Annual Revenue <=$1M, 2013 ($000s)TotAmt_SBloans_2013 = Total Amount of SB Loans Originated, 2013 ($000s)TotAmt_SBloansOrig_perSqMi_2013 = Total Amount of SB Loans Originated, per sq mile, 2013 ($000s)PctTotAmt_SBlns_less_100k_2013 = Percentage of Total SB Loans Originated <=$100k, 2013PctTotAmt_SBloans_100k250k_2013 = Percentage of Total SB Loans Originated $100k-$250k, 2013PctTotAmt_SBloans_250k_1M_2013 = Percentage of Total SB Loans Originated $250k-$1M, 2013PctAmt_SBlns_Rev_lessEq_1M_2013 = Percentage of SB Loan Amount Originated With Gross Annual Revenue <=$1M, 2013Chg_Num_Sbloans_Orig_2012_2013 = Change: Total SB Loans Originated, 2012-2013Chg_Amt_Sbloans_Orig_2012_2013 = Change: Total SB Loan Amount Originated, 2012-2013 ($000s)- - - - - -Num_SBloans_lessEq_100k_2014 = Number of Small Business (SB) Loans Originated <=$100k, 2014Num_SBloans_100k_250k_2014 = # SB Loans Originated $100-250k, 2014Num_SBloans_250k_1M_2014 = # SB Loans Originated $250k-$1M, 2014Num_SBloans_Rev_lessEq_1M_2014 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotNum_SBloans_Orig_2014 = Total # SB Loans Originated, 2014Tot_SBloans_Orig_perSqMi_2014 = Total SB Loans Originated, per sq mile, 2014PctNum_SBloans_lessEq_100k_2014 = % of # SB Loans Originated <=$100k, 2014PctNum_SBloans_100k_250k_2014 = % of # SB Loans Originated $100k-$250k, 2014PctNum_SBloans_250k_1M_2014 = % of # SB Loans Originated $250k-$1M, 2014Pct_SBloans_Rev_lessEq_1M_2014 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotAmt_Sbloans_lessEq100k_2014 = Total Amt SB Loans Originated <=$100k, 2014 (in $000s)TotAmt_Sbloans_100k_250k_2014 = Total Amt SB Loans Originated $100-250k, 2014 (in $000s)TotAmt_Sbloans_250k_1M_2014 = Total Amt SB Loans Originated $250k-$1M, 2014 (in $000s)TotAmt_SBlnsRevless1M_2014 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2014 ($000s)TotAmt_SBloans_2014 = Total Amt SB Loans Originated, 2014 ($000s)TotAmt_SBloansOrig_perSqMi_2014 = Amount of SB Loans Originated, per sq mile, 2014PctTotAmt_SBlns_less_100k_2014 = % of Total Amount SB Loans Originated <=$100k, 2014PctTotAmt_SBloans_100k250k_2014 = % of Total Amount SB Loans Originated $100k-$250k, 2014PctTotAmt_SBloans_250k_1M_2014 = % of Total Amount SB Loans Originated $250k-$1M, 2014PctAmt_SBlns_Rev_lessEq_1M_2014 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2014Chg_TotNum_SBloans_Orig_2013_14 = Change in the Total # of SB Loans Originated, 2013-2014Chg_Amt_SBlns_Orig_2013_14 = Change in the Total Amount of SB Loans Originated, 2013-2014 ($000s)Chg_TotNum_SBloans_Orig_2012_14 = Change in the Total # of SB Loans Originated, 2012-2014Chg_Amt_SBlns_Orig_2012_14 = Change in the Total Amount of SB Loans Originated, 2012-2014 ($000s)- - - - - -Num_SBloans_lessEq_100k_2015 = Number of Small Business (SB) Loans Originated <=$100k, 2015Num_SBloans_100k_250k_2015 = # SB Loans Originated $100-250k, 2015Num_SBloans_250k_1M_2015 = # SB Loans Originated $250k-$1M, 2015Num_SBloans_Rev_lessEq_1M_2015 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotNum_SBloans_Orig_2015 = Total # SB Loans Originated, 2015PctNum_SBloans_lessEq_100k_2015 = % of # SB Loans Originated <=$100k, 2015PctNum_SBloans_100k_250k_2015 = % of # SB Loans Originated $100k-$250k, 2015PctNum_SBloans_250k_1M_2015 = % of # SB Loans Originated $250k-$1M, 2015PctNum_SBlns_Rev_lessEq_1M_2015 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotAmt_Sbloans_lessEq100k_2015 = Total Amt SB Loans Originated <=$100k, 2015 (in $000s)TotAmt_Sbloans_100k_250k_2015 = Total Amt SB Loans Originated $100-250k, 2015 (in $000s)TotAmt_Sbloans_250k_1M_2015 = Total Amt SB Loans Originated $250k-$1M, 2015 (in $000s)TotAmt_inKs_SBlnsRevless1M_2015 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_inKs_SBloans_2015 = Total AMT SB Loans Originated, 2015 (in $000s)PctTotAmt_SBlns_less_100k_2015 = % of Total Amount SB Loans Originated <=$100k, 2015PctTotAmt_SBloans_100k250k_2015 = % of Total Amount SB Loans Originated $100k-$250k, 2015PctTotAmt_SBloans_250k_1M_2015 = % of Total Amount SB Loans Originated $250k-$1M, 2015PctAmt_SBlns_Rev_lessEq_1M_2015 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2015Num_SblnsPur_lessEq_100k_2015 = # SB Loans Purchased <=$100k, 2015Num_SblnsPur_100k_250k_2015 = # SB Loans Purchased $100-250k, 2015Num_SblnsPur_250k_1M_2015 = # SB Loans Purchased $250k-$1M, 2015Num_SblnsPur_Rev_less1M_2015 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Num_Sbloans_Pur_2015 = Total # SB Loans Purchased, 2015PctNum_SblnsPur_less_100k_2015 = % of # SB Loans Purchased <=$100k, 2015PctNum_SblnsPur_100k_250k_2015 = % of # SB Loans Purchased $100k-$250k, 2015PctNum_SblnsPur_250k_1M_2015 = % of # SB Loans Purchased $250k-$1M, 2015PctNum_SblnsPur_Rev_less1M_2015 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015TotAmt_SblnsPur_lessEq100k_2015 = Total Amt SB Loans Purchased <=$100k, 2015 (in $000s)TotAmt_SblnsPur_100k_250k_2015 = Total Amt SB Loans Purchased $100-250k, 2015 (in $000s)TotAmt_SblnsPur_250k_1M_2015 = Total Amt SB Loans Purchased $250k-$1M, 2015 (in $000s)TotAmt_SblnsPur_Rev_less1M_2015 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_Sbloans_Pur_2015 = Total AMT SB Loans Purchased, 2015 (in $000s)PctTot_SBlnsPur_lessEq100k_2015 = % of Total SB Loans Purchased <=$100k, 2015PctTot_SBlnsPur_100k_250k_2015 = % of Total SB Loans Purchased $100k-$250k, 2015PctTot_SBlnsPur_250k_1M_2015 = % of Total SB Loans Purchased $250k-$1M, 2015PctAmt_SBlnsPur_Rev_less1M_2015 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Chg_TotNum_SBloans_Orig_2014_15 = Change in the Total # of SB Loans Originated, 2014-2015Chg_Amt_SBlns_Orig_2014_15_inKs = Change in the Total Amount of SB Loans Originated, 2014-2015 ($000s)- - - - - -Num_SBloans_lessEq_100k_2016 = Number of Small Business (SB) Loans Originated <=$100k, 2016Num_SBloans_100k_250k_2016 = # SB Loans Originated $100-250k, 2016Num_SBloans_250k_1M_2016 = # SB Loans Originated $250k-$1M, 2016Num_SBloans_Rev_lessEq_1M_2016 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotNum_SBloans_Orig_2016 = Total # SB Loans Originated, 2016PctNum_SBloans_lessEq_100k_2016 = % of # SB Loans Originated <=$100k, 2016PctNum_SBloans_100k_250k_2016 = % of # SB Loans Originated $100k-$250k, 2016PctNum_SBloans_250k_1M_2016 = % of # SB Loans Originated $250k-$1M, 2016PctNum_SBlns_Rev_lessEq_1M_2016 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotAmt_Sbloans_lessEq100k_2016 = Total Amt SB Loans Originated <=$100k, 2016 (in $000s)TotAmt_Sbloans_100k_250k_2016 = Total Amt SB Loans Originated $100-250k, 2016 (in $000s)TotAmt_Sbloans_250k_1M_2016 = Total Amt SB Loans Originated $250k-$1M, 2016 (in $000s)TotAmt_inKs_SBlnsRevless1M_2016 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_inKs_SBloans_2016 = Total AMT SB Loans Originated, 2016 (in $000s)PctTotAmt_SBlns_less_100k_2016 = % of Total Amount SB Loans Originated <=$100k, 2016PctTotAmt_SBloans_100k250k_2016 = % of Total Amount SB Loans Originated $100k-$250k, 2016PctTotAmt_SBloans_250k_1M_2016 = % of Total Amount SB Loans Originated $250k-$1M, 2016PctAmt_SBlns_Rev_lessEq_1M_2016 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2016Num_SblnsPur_lessEq_100k_2016 = # SB Loans Purchased <=$100k, 2016Num_SblnsPur_100k_250k_2016 = # SB Loans Purchased $100-250k, 2016Num_SblnsPur_250k_1M_2016 = # SB Loans Purchased $250k-$1M, 2016Num_SblnsPur_Rev_less1M_2016 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Num_Sbloans_Pur_2016 = Total # SB Loans Purchased, 2016PctNum_SblnsPur_less_100k_2016 = % of # SB Loans Purchased <=$100k, 2016PctNum_SblnsPur_100k_250k_2016 = % of # SB Loans Purchased $100k-$250k, 2016PctNum_SblnsPur_250k_1M_2016 = % of # SB Loans Purchased $250k-$1M, 2016PctNum_SblnsPur_Rev_less1M_2016 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016TotAmt_SblnsPur_lessEq100k_2016 = Total Amt SB Loans Purchased <=$100k, 2016 (in $000s)TotAmt_SblnsPur_100k_250k_2016 = Total Amt SB Loans Purchased $100-250k, 2016 (in $000s)TotAmt_SblnsPur_250k_1M_2016 = Total Amt SB Loans Purchased $250k-$1M, 2016 (in $000s)TotAmt_SblnsPur_Rev_less1M_2016 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_Sbloans_Pur_2016 = Total AMT SB Loans Purchased, 2016 (in $000s)PctTot_SBlnsPur_lessEq100k_2016 = % of Total SB Loans Purchased <=$100k, 2016PctTot_SBlnsPur_100k_250k_2016 = % of Total SB Loans Purchased $100k-$250k, 2016PctTot_SBlnsPur_250k_1M_2016 = % of Total SB Loans Purchased $250k-$1M, 2016PctAmt_SBlnsPur_Rev_less1M_2016 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Chg_TotNum_SBloans_Orig_2015_16 = Change in the Total # of SB Loans Originated, 2014-2016Chg_Amt_SBlns_Orig_2015_16_inKs = Change in the Total Amount of SB Loans Originated, 2014-2016 ($000s)Source: Community Reinvestment Act (CRA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Community Reinvestment Act (CRA), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Community Reinvestment Act (CRA) to show total number and amount of small business loans, by loan size and by year, for 2012-2016, by census tract in the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from CRA:Num_SBloans_lessEq_100k_2012 = Number of Small Business (SB) Loans Originated <=$100k, 2012Num_SBloans_100k_250k_2012 = # SB Loans Originated $100-250k, 2012Num_SBloans_250k_1M_2012 = # SB Loans Originated $250k-$1M, 2012Num_SBloans_Rev_lessEq_1M_2012 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_SBloans_Orig_2012 = Total # SB Loans Originated, 2012PctNum_SBloans_lessEq_100k_2012 = % of # SB Loans Originated <=$100k, 2012PctNum_SBloans_100k_250k_2012 = % of # SB Loans Originated $100k-$250k, 2012PctNum_SBloans_250k_1M_2012 = % of # SB Loans Originated $250k-$1M, 2012Pct_SBloans_Rev_lessEq_1M_2012 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotAmt_Sbloans_lessEq100k_2012 = Total Amt SB Loans Originated <=$100k, 2012 (in $000s)TotAmt_Sbloans_100k_250k_2012 = Total Amt SB Loans Originated $100-250k, 2012 (in $000s)TotAmt_Sbloans_250k_1M_2012 = Total Amt SB Loans Originated $250k-$1M, 2012 (in $000s)TotAmt_SBlnsRevless1M_2012 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2012 (in $000s)TotAmt_SBloans_2012 = Total Amt SB Loans Originated, 2012 (in $000s)PctTotAmt_SBlns_less_100k_2012 = % of Total Amount SB Loans Originated <=$100k, 2012PctTotAmt_SBloans_100k250k_2012 = % of Total Amount SB Loans Originated $100k-$250k, 2012PctTotAmt_SBloans_250k_1M_2012 = % of Total Amount SB Loans Originated $250k-$1M, 2012PctAmt_SBlns_Rev_lessEq_1M_2012 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_Sbloans_Pur_2012 = Total Number of SB Loans Purchased 2012TotAmt_Sbloans_Pur_2012 = Total Amount of SB Loans Purchased 2012 (in $000s)TotNum_SBloans_Orig_SqMi_2012 = Total SB Loans Originated, per sq mile, 2012TotAmt_SBloans_Orig_SqMi_2012 = Amount of SB Loans Originated, per sq mile, 2012 (in $000s)- - - - - -Num_SBloans_lessEq_100k_2013 = Number of Small Business (SB) Loans Originated <=$100k, 2013Num_SBloans_100k_250k_2013 = Number of SB Loans Originated $100-250k, 2013Num_SBloans_250k_1M_2013 = Number of SB Loans Originated $250k-$1M, 2013Num_SBloans_Rev_lessEq_1M_2013 = Number of SB Loans Originated With Gross Annual Revenue <=$1M, 2013TotNum_SBloans_Orig_2013 = Total Number of SB Loans Originated, 2013Tot_SBloans_Orig_perSqMi_2013 = Total Number of SB Loans Originated, per sq mile, 2013PctNum_SBloans_lessEq_100k_2013 = Percentage of Number of SB Loans Originated <=$100k, 2013PctNum_SBloans_100k_250k_2013 = Percentage of Number of SB Loans Originated $100k-$250k, 2013PctNum_SBloans_250k_1M_2013 = Percentage of Number of SB Loans Originated $250k-$1M, 2013Pct_SBloans_Rev_lessEq_1M_2013 = Percentage all SB Loans Originated with Annual Revenue <=$1M, 2013TotAmt_Sbloans_lessEq100k_2013 = Total Amount of SB Loans Originated <=$100k, 2013 ($000s)TotAmt_Sbloans_100k_250k_2013 = Total Amount of SB Loans Originated $100-250k, 2013 ($000s)TotAmt_Sbloans_250k_1M_2013 = Total Amount of SB Loans Originated $250k-$1M, 2013 ($000s)TotAmt_SBlnsRevless1M_2013 = Total SB Amount of Loans Originated With Annual Revenue <=$1M, 2013 ($000s)TotAmt_SBloans_2013 = Total Amount of SB Loans Originated, 2013 ($000s)TotAmt_SBloansOrig_perSqMi_2013 = Total Amount of SB Loans Originated, per sq mile, 2013 ($000s)PctTotAmt_SBlns_less_100k_2013 = Percentage of Total SB Loans Originated <=$100k, 2013PctTotAmt_SBloans_100k250k_2013 = Percentage of Total SB Loans Originated $100k-$250k, 2013PctTotAmt_SBloans_250k_1M_2013 = Percentage of Total SB Loans Originated $250k-$1M, 2013PctAmt_SBlns_Rev_lessEq_1M_2013 = Percentage of SB Loan Amount Originated With Gross Annual Revenue <=$1M, 2013Chg_Num_Sbloans_Orig_2012_2013 = Change: Total SB Loans Originated, 2012-2013Chg_Amt_Sbloans_Orig_2012_2013 = Change: Total SB Loan Amount Originated, 2012-2013 ($000s)- - - - - -Num_SBloans_lessEq_100k_2014 = Number of Small Business (SB) Loans Originated <=$100k, 2014Num_SBloans_100k_250k_2014 = # SB Loans Originated $100-250k, 2014Num_SBloans_250k_1M_2014 = # SB Loans Originated $250k-$1M, 2014Num_SBloans_Rev_lessEq_1M_2014 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotNum_SBloans_Orig_2014 = Total # SB Loans Originated, 2014Tot_SBloans_Orig_perSqMi_2014 = Total SB Loans Originated, per sq mile, 2014PctNum_SBloans_lessEq_100k_2014 = % of # SB Loans Originated <=$100k, 2014PctNum_SBloans_100k_250k_2014 = % of # SB Loans Originated $100k-$250k, 2014PctNum_SBloans_250k_1M_2014 = % of # SB Loans Originated $250k-$1M, 2014Pct_SBloans_Rev_lessEq_1M_2014 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotAmt_Sbloans_lessEq100k_2014 = Total Amt SB Loans Originated <=$100k, 2014 (in $000s)TotAmt_Sbloans_100k_250k_2014 = Total Amt SB Loans Originated $100-250k, 2014 (in $000s)TotAmt_Sbloans_250k_1M_2014 = Total Amt SB Loans Originated $250k-$1M, 2014 (in $000s)TotAmt_SBlnsRevless1M_2014 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2014 ($000s)TotAmt_SBloans_2014 = Total Amt SB Loans Originated, 2014 ($000s)TotAmt_SBloansOrig_perSqMi_2014 = Amount of SB Loans Originated, per sq mile, 2014PctTotAmt_SBlns_less_100k_2014 = % of Total Amount SB Loans Originated <=$100k, 2014PctTotAmt_SBloans_100k250k_2014 = % of Total Amount SB Loans Originated $100k-$250k, 2014PctTotAmt_SBloans_250k_1M_2014 = % of Total Amount SB Loans Originated $250k-$1M, 2014PctAmt_SBlns_Rev_lessEq_1M_2014 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2014Chg_TotNum_SBloans_Orig_2013_14 = Change in the Total # of SB Loans Originated, 2013-2014Chg_Amt_SBlns_Orig_2013_14 = Change in the Total Amount of SB Loans Originated, 2013-2014 ($000s)Chg_TotNum_SBloans_Orig_2012_14 = Change in the Total # of SB Loans Originated, 2012-2014Chg_Amt_SBlns_Orig_2012_14 = Change in the Total Amount of SB Loans Originated, 2012-2014 ($000s)- - - - - -Num_SBloans_lessEq_100k_2015 = Number of Small Business (SB) Loans Originated <=$100k, 2015Num_SBloans_100k_250k_2015 = # SB Loans Originated $100-250k, 2015Num_SBloans_250k_1M_2015 = # SB Loans Originated $250k-$1M, 2015Num_SBloans_Rev_lessEq_1M_2015 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotNum_SBloans_Orig_2015 = Total # SB Loans Originated, 2015PctNum_SBloans_lessEq_100k_2015 = % of # SB Loans Originated <=$100k, 2015PctNum_SBloans_100k_250k_2015 = % of # SB Loans Originated $100k-$250k, 2015PctNum_SBloans_250k_1M_2015 = % of # SB Loans Originated $250k-$1M, 2015PctNum_SBlns_Rev_lessEq_1M_2015 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotAmt_Sbloans_lessEq100k_2015 = Total Amt SB Loans Originated <=$100k, 2015 (in $000s)TotAmt_Sbloans_100k_250k_2015 = Total Amt SB Loans Originated $100-250k, 2015 (in $000s)TotAmt_Sbloans_250k_1M_2015 = Total Amt SB Loans Originated $250k-$1M, 2015 (in $000s)TotAmt_inKs_SBlnsRevless1M_2015 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_inKs_SBloans_2015 = Total AMT SB Loans Originated, 2015 (in $000s)PctTotAmt_SBlns_less_100k_2015 = % of Total Amount SB Loans Originated <=$100k, 2015PctTotAmt_SBloans_100k250k_2015 = % of Total Amount SB Loans Originated $100k-$250k, 2015PctTotAmt_SBloans_250k_1M_2015 = % of Total Amount SB Loans Originated $250k-$1M, 2015PctAmt_SBlns_Rev_lessEq_1M_2015 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2015Num_SblnsPur_lessEq_100k_2015 = # SB Loans Purchased <=$100k, 2015Num_SblnsPur_100k_250k_2015 = # SB Loans Purchased $100-250k, 2015Num_SblnsPur_250k_1M_2015 = # SB Loans Purchased $250k-$1M, 2015Num_SblnsPur_Rev_less1M_2015 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Num_Sbloans_Pur_2015 = Total # SB Loans Purchased, 2015PctNum_SblnsPur_less_100k_2015 = % of # SB Loans Purchased <=$100k, 2015PctNum_SblnsPur_100k_250k_2015 = % of # SB Loans Purchased $100k-$250k, 2015PctNum_SblnsPur_250k_1M_2015 = % of # SB Loans Purchased $250k-$1M, 2015PctNum_SblnsPur_Rev_less1M_2015 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015TotAmt_SblnsPur_lessEq100k_2015 = Total Amt SB Loans Purchased <=$100k, 2015 (in $000s)TotAmt_SblnsPur_100k_250k_2015 = Total Amt SB Loans Purchased $100-250k, 2015 (in $000s)TotAmt_SblnsPur_250k_1M_2015 = Total Amt SB Loans Purchased $250k-$1M, 2015 (in $000s)TotAmt_SblnsPur_Rev_less1M_2015 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_Sbloans_Pur_2015 = Total AMT SB Loans Purchased, 2015 (in $000s)PctTot_SBlnsPur_lessEq100k_2015 = % of Total SB Loans Purchased <=$100k, 2015PctTot_SBlnsPur_100k_250k_2015 = % of Total SB Loans Purchased $100k-$250k, 2015PctTot_SBlnsPur_250k_1M_2015 = % of Total SB Loans Purchased $250k-$1M, 2015PctAmt_SBlnsPur_Rev_less1M_2015 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Chg_TotNum_SBloans_Orig_2014_15 = Change in the Total # of SB Loans Originated, 2014-2015Chg_Amt_SBlns_Orig_2014_15_inKs = Change in the Total Amount of SB Loans Originated, 2014-2015 ($000s)- - - - - -Num_SBloans_lessEq_100k_2016 = Number of Small Business (SB) Loans Originated <=$100k, 2016Num_SBloans_100k_250k_2016 = # SB Loans Originated $100-250k, 2016Num_SBloans_250k_1M_2016 = # SB Loans Originated $250k-$1M, 2016Num_SBloans_Rev_lessEq_1M_2016 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotNum_SBloans_Orig_2016 = Total # SB Loans Originated, 2016PctNum_SBloans_lessEq_100k_2016 = % of # SB Loans Originated <=$100k, 2016PctNum_SBloans_100k_250k_2016 = % of # SB Loans Originated $100k-$250k, 2016PctNum_SBloans_250k_1M_2016 = % of # SB Loans Originated $250k-$1M, 2016PctNum_SBlns_Rev_lessEq_1M_2016 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotAmt_Sbloans_lessEq100k_2016 = Total Amt SB Loans Originated <=$100k, 2016 (in $000s)TotAmt_Sbloans_100k_250k_2016 = Total Amt SB Loans Originated $100-250k, 2016 (in $000s)TotAmt_Sbloans_250k_1M_2016 = Total Amt SB Loans Originated $250k-$1M, 2016 (in $000s)TotAmt_inKs_SBlnsRevless1M_2016 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_inKs_SBloans_2016 = Total AMT SB Loans Originated, 2016 (in $000s)PctTotAmt_SBlns_less_100k_2016 = % of Total Amount SB Loans Originated <=$100k, 2016PctTotAmt_SBloans_100k250k_2016 = % of Total Amount SB Loans Originated $100k-$250k, 2016PctTotAmt_SBloans_250k_1M_2016 = % of Total Amount SB Loans Originated $250k-$1M, 2016PctAmt_SBlns_Rev_lessEq_1M_2016 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2016Num_SblnsPur_lessEq_100k_2016 = # SB Loans Purchased <=$100k, 2016Num_SblnsPur_100k_250k_2016 = # SB Loans Purchased $100-250k, 2016Num_SblnsPur_250k_1M_2016 = # SB Loans Purchased $250k-$1M, 2016Num_SblnsPur_Rev_less1M_2016 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Num_Sbloans_Pur_2016 = Total # SB Loans Purchased, 2016PctNum_SblnsPur_less_100k_2016 = % of # SB Loans Purchased <=$100k, 2016PctNum_SblnsPur_100k_250k_2016 = % of # SB Loans Purchased $100k-$250k, 2016PctNum_SblnsPur_250k_1M_2016 = % of # SB Loans Purchased $250k-$1M, 2016PctNum_SblnsPur_Rev_less1M_2016 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016TotAmt_SblnsPur_lessEq100k_2016 = Total Amt SB Loans Purchased <=$100k, 2016 (in $000s)TotAmt_SblnsPur_100k_250k_2016 = Total Amt SB Loans Purchased $100-250k, 2016 (in $000s)TotAmt_SblnsPur_250k_1M_2016 = Total Amt SB Loans Purchased $250k-$1M, 2016 (in $000s)TotAmt_SblnsPur_Rev_less1M_2016 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_Sbloans_Pur_2016 = Total AMT SB Loans Purchased, 2016 (in $000s)PctTot_SBlnsPur_lessEq100k_2016 = % of Total SB Loans Purchased <=$100k, 2016PctTot_SBlnsPur_100k_250k_2016 = % of Total SB Loans Purchased $100k-$250k, 2016PctTot_SBlnsPur_250k_1M_2016 = % of Total SB Loans Purchased $250k-$1M, 2016PctAmt_SBlnsPur_Rev_less1M_2016 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Chg_TotNum_SBloans_Orig_2015_16 = Change in the Total # of SB Loans Originated, 2014-2016Chg_Amt_SBlns_Orig_2015_16_inKs = Change in the Total Amount of SB Loans Originated, 2014-2016 ($000s)Source: Community Reinvestment Act (CRA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Community Reinvestment Act (CRA), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Community Reinvestment Act (CRA) to show total number and amount of small business loans, by loan size and by year, for 2012-2016, by census tract in the Atlanta Region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from CRA:Num_SBloans_lessEq_100k_2012 = Number of Small Business (SB) Loans Originated <=$100k, 2012Num_SBloans_100k_250k_2012 = # SB Loans Originated $100-250k, 2012Num_SBloans_250k_1M_2012 = # SB Loans Originated $250k-$1M, 2012Num_SBloans_Rev_lessEq_1M_2012 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_SBloans_Orig_2012 = Total # SB Loans Originated, 2012PctNum_SBloans_lessEq_100k_2012 = % of # SB Loans Originated <=$100k, 2012PctNum_SBloans_100k_250k_2012 = % of # SB Loans Originated $100k-$250k, 2012PctNum_SBloans_250k_1M_2012 = % of # SB Loans Originated $250k-$1M, 2012Pct_SBloans_Rev_lessEq_1M_2012 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotAmt_Sbloans_lessEq100k_2012 = Total Amt SB Loans Originated <=$100k, 2012 (in $000s)TotAmt_Sbloans_100k_250k_2012 = Total Amt SB Loans Originated $100-250k, 2012 (in $000s)TotAmt_Sbloans_250k_1M_2012 = Total Amt SB Loans Originated $250k-$1M, 2012 (in $000s)TotAmt_SBlnsRevless1M_2012 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2012 (in $000s)TotAmt_SBloans_2012 = Total Amt SB Loans Originated, 2012 (in $000s)PctTotAmt_SBlns_less_100k_2012 = % of Total Amount SB Loans Originated <=$100k, 2012PctTotAmt_SBloans_100k250k_2012 = % of Total Amount SB Loans Originated $100k-$250k, 2012PctTotAmt_SBloans_250k_1M_2012 = % of Total Amount SB Loans Originated $250k-$1M, 2012PctAmt_SBlns_Rev_lessEq_1M_2012 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2012TotNum_Sbloans_Pur_2012 = Total Number of SB Loans Purchased 2012TotAmt_Sbloans_Pur_2012 = Total Amount of SB Loans Purchased 2012 (in $000s)TotNum_SBloans_Orig_SqMi_2012 = Total SB Loans Originated, per sq mile, 2012TotAmt_SBloans_Orig_SqMi_2012 = Amount of SB Loans Originated, per sq mile, 2012 (in $000s)- - - - - -Num_SBloans_lessEq_100k_2013 = Number of Small Business (SB) Loans Originated <=$100k, 2013Num_SBloans_100k_250k_2013 = Number of SB Loans Originated $100-250k, 2013Num_SBloans_250k_1M_2013 = Number of SB Loans Originated $250k-$1M, 2013Num_SBloans_Rev_lessEq_1M_2013 = Number of SB Loans Originated With Gross Annual Revenue <=$1M, 2013TotNum_SBloans_Orig_2013 = Total Number of SB Loans Originated, 2013Tot_SBloans_Orig_perSqMi_2013 = Total Number of SB Loans Originated, per sq mile, 2013PctNum_SBloans_lessEq_100k_2013 = Percentage of Number of SB Loans Originated <=$100k, 2013PctNum_SBloans_100k_250k_2013 = Percentage of Number of SB Loans Originated $100k-$250k, 2013PctNum_SBloans_250k_1M_2013 = Percentage of Number of SB Loans Originated $250k-$1M, 2013Pct_SBloans_Rev_lessEq_1M_2013 = Percentage all SB Loans Originated with Annual Revenue <=$1M, 2013TotAmt_Sbloans_lessEq100k_2013 = Total Amount of SB Loans Originated <=$100k, 2013 ($000s)TotAmt_Sbloans_100k_250k_2013 = Total Amount of SB Loans Originated $100-250k, 2013 ($000s)TotAmt_Sbloans_250k_1M_2013 = Total Amount of SB Loans Originated $250k-$1M, 2013 ($000s)TotAmt_SBlnsRevless1M_2013 = Total SB Amount of Loans Originated With Annual Revenue <=$1M, 2013 ($000s)TotAmt_SBloans_2013 = Total Amount of SB Loans Originated, 2013 ($000s)TotAmt_SBloansOrig_perSqMi_2013 = Total Amount of SB Loans Originated, per sq mile, 2013 ($000s)PctTotAmt_SBlns_less_100k_2013 = Percentage of Total SB Loans Originated <=$100k, 2013PctTotAmt_SBloans_100k250k_2013 = Percentage of Total SB Loans Originated $100k-$250k, 2013PctTotAmt_SBloans_250k_1M_2013 = Percentage of Total SB Loans Originated $250k-$1M, 2013PctAmt_SBlns_Rev_lessEq_1M_2013 = Percentage of SB Loan Amount Originated With Gross Annual Revenue <=$1M, 2013Chg_Num_Sbloans_Orig_2012_2013 = Change: Total SB Loans Originated, 2012-2013Chg_Amt_Sbloans_Orig_2012_2013 = Change: Total SB Loan Amount Originated, 2012-2013 ($000s)- - - - - -Num_SBloans_lessEq_100k_2014 = Number of Small Business (SB) Loans Originated <=$100k, 2014Num_SBloans_100k_250k_2014 = # SB Loans Originated $100-250k, 2014Num_SBloans_250k_1M_2014 = # SB Loans Originated $250k-$1M, 2014Num_SBloans_Rev_lessEq_1M_2014 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotNum_SBloans_Orig_2014 = Total # SB Loans Originated, 2014Tot_SBloans_Orig_perSqMi_2014 = Total SB Loans Originated, per sq mile, 2014PctNum_SBloans_lessEq_100k_2014 = % of # SB Loans Originated <=$100k, 2014PctNum_SBloans_100k_250k_2014 = % of # SB Loans Originated $100k-$250k, 2014PctNum_SBloans_250k_1M_2014 = % of # SB Loans Originated $250k-$1M, 2014Pct_SBloans_Rev_lessEq_1M_2014 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2014TotAmt_Sbloans_lessEq100k_2014 = Total Amt SB Loans Originated <=$100k, 2014 (in $000s)TotAmt_Sbloans_100k_250k_2014 = Total Amt SB Loans Originated $100-250k, 2014 (in $000s)TotAmt_Sbloans_250k_1M_2014 = Total Amt SB Loans Originated $250k-$1M, 2014 (in $000s)TotAmt_SBlnsRevless1M_2014 = Total Amount SB Loans Originated With Gross Annual Revenue <=$1M, 2014 ($000s)TotAmt_SBloans_2014 = Total Amt SB Loans Originated, 2014 ($000s)TotAmt_SBloansOrig_perSqMi_2014 = Amount of SB Loans Originated, per sq mile, 2014PctTotAmt_SBlns_less_100k_2014 = % of Total Amount SB Loans Originated <=$100k, 2014PctTotAmt_SBloans_100k250k_2014 = % of Total Amount SB Loans Originated $100k-$250k, 2014PctTotAmt_SBloans_250k_1M_2014 = % of Total Amount SB Loans Originated $250k-$1M, 2014PctAmt_SBlns_Rev_lessEq_1M_2014 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2014Chg_TotNum_SBloans_Orig_2013_14 = Change in the Total # of SB Loans Originated, 2013-2014Chg_Amt_SBlns_Orig_2013_14 = Change in the Total Amount of SB Loans Originated, 2013-2014 ($000s)Chg_TotNum_SBloans_Orig_2012_14 = Change in the Total # of SB Loans Originated, 2012-2014Chg_Amt_SBlns_Orig_2012_14 = Change in the Total Amount of SB Loans Originated, 2012-2014 ($000s)- - - - - -Num_SBloans_lessEq_100k_2015 = Number of Small Business (SB) Loans Originated <=$100k, 2015Num_SBloans_100k_250k_2015 = # SB Loans Originated $100-250k, 2015Num_SBloans_250k_1M_2015 = # SB Loans Originated $250k-$1M, 2015Num_SBloans_Rev_lessEq_1M_2015 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotNum_SBloans_Orig_2015 = Total # SB Loans Originated, 2015PctNum_SBloans_lessEq_100k_2015 = % of # SB Loans Originated <=$100k, 2015PctNum_SBloans_100k_250k_2015 = % of # SB Loans Originated $100k-$250k, 2015PctNum_SBloans_250k_1M_2015 = % of # SB Loans Originated $250k-$1M, 2015PctNum_SBlns_Rev_lessEq_1M_2015 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2015TotAmt_Sbloans_lessEq100k_2015 = Total Amt SB Loans Originated <=$100k, 2015 (in $000s)TotAmt_Sbloans_100k_250k_2015 = Total Amt SB Loans Originated $100-250k, 2015 (in $000s)TotAmt_Sbloans_250k_1M_2015 = Total Amt SB Loans Originated $250k-$1M, 2015 (in $000s)TotAmt_inKs_SBlnsRevless1M_2015 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_inKs_SBloans_2015 = Total AMT SB Loans Originated, 2015 (in $000s)PctTotAmt_SBlns_less_100k_2015 = % of Total Amount SB Loans Originated <=$100k, 2015PctTotAmt_SBloans_100k250k_2015 = % of Total Amount SB Loans Originated $100k-$250k, 2015PctTotAmt_SBloans_250k_1M_2015 = % of Total Amount SB Loans Originated $250k-$1M, 2015PctAmt_SBlns_Rev_lessEq_1M_2015 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2015Num_SblnsPur_lessEq_100k_2015 = # SB Loans Purchased <=$100k, 2015Num_SblnsPur_100k_250k_2015 = # SB Loans Purchased $100-250k, 2015Num_SblnsPur_250k_1M_2015 = # SB Loans Purchased $250k-$1M, 2015Num_SblnsPur_Rev_less1M_2015 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Num_Sbloans_Pur_2015 = Total # SB Loans Purchased, 2015PctNum_SblnsPur_less_100k_2015 = % of # SB Loans Purchased <=$100k, 2015PctNum_SblnsPur_100k_250k_2015 = % of # SB Loans Purchased $100k-$250k, 2015PctNum_SblnsPur_250k_1M_2015 = % of # SB Loans Purchased $250k-$1M, 2015PctNum_SblnsPur_Rev_less1M_2015 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2015TotAmt_SblnsPur_lessEq100k_2015 = Total Amt SB Loans Purchased <=$100k, 2015 (in $000s)TotAmt_SblnsPur_100k_250k_2015 = Total Amt SB Loans Purchased $100-250k, 2015 (in $000s)TotAmt_SblnsPur_250k_1M_2015 = Total Amt SB Loans Purchased $250k-$1M, 2015 (in $000s)TotAmt_SblnsPur_Rev_less1M_2015 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2015 (in $000s)TotAmt_Sbloans_Pur_2015 = Total AMT SB Loans Purchased, 2015 (in $000s)PctTot_SBlnsPur_lessEq100k_2015 = % of Total SB Loans Purchased <=$100k, 2015PctTot_SBlnsPur_100k_250k_2015 = % of Total SB Loans Purchased $100k-$250k, 2015PctTot_SBlnsPur_250k_1M_2015 = % of Total SB Loans Purchased $250k-$1M, 2015PctAmt_SBlnsPur_Rev_less1M_2015 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2015Chg_TotNum_SBloans_Orig_2014_15 = Change in the Total # of SB Loans Originated, 2014-2015Chg_Amt_SBlns_Orig_2014_15_inKs = Change in the Total Amount of SB Loans Originated, 2014-2015 ($000s)- - - - - -Num_SBloans_lessEq_100k_2016 = Number of Small Business (SB) Loans Originated <=$100k, 2016Num_SBloans_100k_250k_2016 = # SB Loans Originated $100-250k, 2016Num_SBloans_250k_1M_2016 = # SB Loans Originated $250k-$1M, 2016Num_SBloans_Rev_lessEq_1M_2016 = # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotNum_SBloans_Orig_2016 = Total # SB Loans Originated, 2016PctNum_SBloans_lessEq_100k_2016 = % of # SB Loans Originated <=$100k, 2016PctNum_SBloans_100k_250k_2016 = % of # SB Loans Originated $100k-$250k, 2016PctNum_SBloans_250k_1M_2016 = % of # SB Loans Originated $250k-$1M, 2016PctNum_SBlns_Rev_lessEq_1M_2016 = % of # SB Loans Originated With Gross Annual Revenue <=$1M, 2016TotAmt_Sbloans_lessEq100k_2016 = Total Amt SB Loans Originated <=$100k, 2016 (in $000s)TotAmt_Sbloans_100k_250k_2016 = Total Amt SB Loans Originated $100-250k, 2016 (in $000s)TotAmt_Sbloans_250k_1M_2016 = Total Amt SB Loans Originated $250k-$1M, 2016 (in $000s)TotAmt_inKs_SBlnsRevless1M_2016 = Total SB Amt Loans Originated With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_inKs_SBloans_2016 = Total AMT SB Loans Originated, 2016 (in $000s)PctTotAmt_SBlns_less_100k_2016 = % of Total Amount SB Loans Originated <=$100k, 2016PctTotAmt_SBloans_100k250k_2016 = % of Total Amount SB Loans Originated $100k-$250k, 2016PctTotAmt_SBloans_250k_1M_2016 = % of Total Amount SB Loans Originated $250k-$1M, 2016PctAmt_SBlns_Rev_lessEq_1M_2016 = % of AMT SB Loans Originated With Gross Annual Revenue <=$1M, 2016Num_SblnsPur_lessEq_100k_2016 = # SB Loans Purchased <=$100k, 2016Num_SblnsPur_100k_250k_2016 = # SB Loans Purchased $100-250k, 2016Num_SblnsPur_250k_1M_2016 = # SB Loans Purchased $250k-$1M, 2016Num_SblnsPur_Rev_less1M_2016 = # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Num_Sbloans_Pur_2016 = Total # SB Loans Purchased, 2016PctNum_SblnsPur_less_100k_2016 = % of # SB Loans Purchased <=$100k, 2016PctNum_SblnsPur_100k_250k_2016 = % of # SB Loans Purchased $100k-$250k, 2016PctNum_SblnsPur_250k_1M_2016 = % of # SB Loans Purchased $250k-$1M, 2016PctNum_SblnsPur_Rev_less1M_2016 = % of # SB Loans Purchased With Gross Annual Revenue <=$1M, 2016TotAmt_SblnsPur_lessEq100k_2016 = Total Amt SB Loans Purchased <=$100k, 2016 (in $000s)TotAmt_SblnsPur_100k_250k_2016 = Total Amt SB Loans Purchased $100-250k, 2016 (in $000s)TotAmt_SblnsPur_250k_1M_2016 = Total Amt SB Loans Purchased $250k-$1M, 2016 (in $000s)TotAmt_SblnsPur_Rev_less1M_2016 = Total SB Amt Loans Purchased With Gross Annual Revenue <=$1M, 2016 (in $000s)TotAmt_Sbloans_Pur_2016 = Total AMT SB Loans Purchased, 2016 (in $000s)PctTot_SBlnsPur_lessEq100k_2016 = % of Total SB Loans Purchased <=$100k, 2016PctTot_SBlnsPur_100k_250k_2016 = % of Total SB Loans Purchased $100k-$250k, 2016PctTot_SBlnsPur_250k_1M_2016 = % of Total SB Loans Purchased $250k-$1M, 2016PctAmt_SBlnsPur_Rev_less1M_2016 = % of AMT SB Loans Purchased With Gross Annual Revenue <=$1M, 2016Chg_TotNum_SBloans_Orig_2015_16 = Change in the Total # of SB Loans Originated, 2014-2016Chg_Amt_SBlns_Orig_2015_16_inKs = Change in the Total Amount of SB Loans Originated, 2014-2016 ($000s)Source: Community Reinvestment Act (CRA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Community Reinvestment Act (CRA), Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on access to broadband internet service (FCC, 2016) by census tract in the Atlanta region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from FCC:Hholds_over_200_kbps_per1K= # of Households with > 200 kbps (per thousand households)Hholds_10MbpsDown_1MbpsUp_per1K= # of Households with >= 10 Mbps downstream and 1 Mbps upstream (per thousand households)- - - - - -Sources/Dates: Federal Communications Commission (FCC), 2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • Federal Communications Commission (FCC)
• Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on subsidized/public housing units (HUD, 2013) by census tract in the Atlanta region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from HUD:Subsidized_Units_2013 = Subsidized Units, 2013Public_Housing_Units_2013 = Public Housing Units, 2013All_Subsidized_Units_2013 = All Subsidized Units, 2013Total_Housing_Units_2010 = Total Housing Units, 2010Pct_Subsidized_Units = % Subsidized Units to All Units- - - - - -Sources/Dates: Urban Development (HUD): Picture of Subsidized Households, 2013For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • Urban Development (HUD): Picture of Subsidized Households
• Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on newborn health and maternal age/education (GA DPH, 2000-2004, 2010-2014), by census tract in the Atlanta region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from GA DPH:TOTAL_BIRTH_2010_2014 = Total Births, 2010-2014BIRTH_LOW_EDU_2010_2014 = Births to Females <12th Grade Education, 2010-2014BIRTH_TEEN_2010_2014 = Births to Teens (15-19), 2010-2014LOW_WT_BIRTH_2010_2014 = Low Birthweight Births <2,500 grams, 2010-2014PRE_BIRTH_2010_2014 = Premature Births <37 Weeks Gestation, 2010-2014TOTAL_BIRTH_SQMI_2010_2014 = Total Births per square mile, 2010-2014BIRTH_LOW_EDU_SQMI_2010_2014 = Births to Females <12th Grade Education per Square Mile, 2010-2014BIRTH_TEEN_SQMI_2010_2014 = Births to Teens (15-19) per Square Mile, 2010-2014LOW_WT_BIRTH_SQMI_2010_2014 = Low Birthweight Births <2,500 grams per Square Mile, 2010-2014PRE_BIRTH_SQMI_2010_2014 = Premature Births <37 Weeks Gestation per Square Mile, 2010-2014BIRTH_LOW_EDU_PER_1K_2010_2014 = Births to Females with <12th grade education per 1,000 Births, 2010-2014BIRTH_TEEN_PER_1K_2010_2014 = Births to Teens (15-19) per 1,000 Births, 2010-2014LOW_WT_BIRTH_PER_1K_2010_2014 = Low Birthweight Births (<2,500 grams) per 1,000 Births, 2010-2014PRE_BIRTH_PER_1K_2010_2014 = Premature Births (<37 weeks) per 1,000 Births, 2010-2014- - - - - -CHG_BIRTH_00_04__10_14 = Total Change: Births, 2000-2004 to 2010-2014 CHG_BIRTH_LOW_EDU_00_04__10_14 = Total Change: Births to mothers with <12th grade Education, 2000-2004 to 2010-2014CHG_BIRTH_TEEN_00_04__10_14 = Total Change: Births to teens (ages 15-19), 2000-2004 to 2010-2014CHG_LOW_WT_BIRTH_00_04__10_14 = Total Change: Low Birthweight Births (<2500 grams) 2000-2004 to 2010-2014CHG_PRE_BIRTH_00_04__10_14 = Total Change: Premature Births (<37 weeks) from 2000-2004 to 2010-2014CHG_BIRTH_00_04__10_14_SQMI = Change: Births from 2000 -2004 to 2010-2014 per sq. mile CHG_BRTH_LW_ED_00_04__10_14_SQM = Change: Births to Mothers with <12th Education 2000-2004 to 2010-2014 per sq. mile CHG_BIRTH_TEEN_00_04__10_14_SQM = Change: Births to Teens (ages 15-19) 2000-2004 to 2010-2014 per sq. mile CHG_LW_WT_BRTH_00_04__10_14_SQM = Change: Low Birthweight Births (<2500 grams) 2000-2004 to 2010-2014 per sq. mile CHG_PRE_BIRTH_00_04__10_14_SQM = Change: Premature Births (<37 weeks) 2000-2004 to 2010-2014 per sq. mile CHG_BRTH_LOW_ED_00_04__10_14_1K = Change: Births to Mothers with <12th Education 2000-2004 to 2010-2014, per 1,000 birthsCHG_BIRTH_TEEN_00_04__10_14_1K = Change: Births to Teens (ages 15-19) 2000-2004 to 2010-2014, per 1,000 birthsCHG_LOW_WT_BRTH_00_04__10_14_1K = Change: Low Birthweight Births (<2500 grams) from 2000-2004 to 2010-2014, per 1,000 Births CHG_PRE_BIRTH_00_04__10_14_1K = Change: Premature Births (<37 weeks) from 2000-2004 to 2010-2014, per 1,000 Births - - - - - -Sources/Dates: Georgia Department of Public Health (GA DPH), 2000-2004; 2010-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • Georgia Department of Public Health (GA DPH)
• Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on public school student characteristics (GA DOE, 2016), by census tract in the Atlanta region.Base Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county nameTotal_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016= # Total population estimate (Margin of Error), 2016 (American Community Survey)Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Namelast_edited_date = Last date the feature was edited by ARC- - - - - -Attributes from GA DOE:TOT_STUDENTS_ENROLLED_SCHOOL_YR = Total count of students enrolled at any time during the school yearSUBSET_STUDENTS_GRADES_PK_5 = Subset of total students - any student in grades PK-5SUBSET_STUDENTS_GRADES_6_8 = Subset of total students - any student in grades 6-8SUBSET_STUDENTS_GRADES_9_12 = Subset of total students - any student in grades 9-12PCT_GRADES_PK_5 = Percent in grades PK-5PCT_GRADES_6_8 = Percent in grades 6-8PCT_GRADES_9_12 = Percent in grades 9-12STUDENT_SERVED_BY_SPECIAL_ED = Student served by special education programPCT_SERVED_BY_SPECIAL_ED = Percent served by special ed programSTUDENT_SERVED_BY_GIFTED = Student served by Gifted programPCT_SERVED_BY_GIFTED = Percent served by gifted programSTUDENT_IS_ENGLISH_LEARNER = Student is a member of the English Learner student group (EL=Y or EL=Monitored Status)PCT_ENGLISH_LEARNER = Percent in English Learner Student groupCT_RETAINED_STUDTS = Retained Student CountPCT_RETAINED_STUDTS = Percent of Retained StudentsCT_HOMELESS_UNACCOMP_STUDTS = Count of Homeless Students (Marked either "Homeless" or "Unaccompanied Youth" in SR)PCT_HOMELESS = Percent homelessCT_STUDTS_PARENT_ACTV_MILITARY = Count of students with parent(s) in Active MilitaryPCT_STUDTS_PARENT_ACTV_MILITARY = Percent students with parents in Active MilitaryCT_MID_STUDENTS_WITHDRAW_HOME = Grade 6-8 students withdrawn during school year, reason "H" (Withdrawn to Homeschool)PCT_MID_STUDENTS_WITHDRAW_HOME = Percent of Middle School students withdrawn for homeschoolCT_HS_STUDENTS_WITHDRAW_HOME = Grade 9-12 students withdrawn during school year, reason "H" (Withdrawn to Homeschool)PCT_HS_STUDENTS_WITHDRAW_HOME = Percent of High School students withdrawn for homeschoolCT_MID_STUDENTS_WITHDRAW_DJJ = Grade 6-8 students withdrawn during school year, reason "4" (Withdrawn to DJJ)PCT_MID_STUDENTS_WITHDRAW_DJJ = Percent of Middle School students withdrawn to Department of Juvenile JusticeCT_HS_STUDENTS_WITHDRAW_DJJ = Grade 9-12 students withdrawing during school year with reason "4" (Withdrawn to DJJ)PCT_HS_STUDENTS_WITHDRAW_DJJ = Percent of High School students withdrawn to Department of Juvenile JusticeCT_STUDENTS_WITHDRAW_ANY = Students withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr.PCT_STUDENTS_WITHDRAW_ANY = Percent withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr.STUDENTS_ABSENT_0_5_days = Absence Bracket A Student Count - Students absent 0-5 daysPCT_STUDENTS_ABSENT_0_5_days = Percent students absent 0-5 daysSTUDENTS_ABSENT_6_15_days = Absence Bracket B Student Count - Students absent 6-15 daysPCT_STUDENTS_ABSENT_6_15_days = Percent students absent 6-15 daysSTUDENTS_ABSENT_16_MORE_DAYS = Absence Bracket C Student Count - Students absent 16 or More daysPCT_STUDTS_ABSENT_16_MORE_DAYS = Percent students absent more than 15 daysCT_STUDTS_REC_DISCIPLINE = Count of students receiving any discipline event records during school yearPCT_STUDTS_ABS_REC_DISCIPLINE = Percent students absent receiving any discipline eventCT_STUDTS_OSS_MORE_10_days = Students assigned to Out of School Suspension for more than 10 days during school yearPCT_STUDTS_OSS_MORE_10_days = Percent students assigned to Out of School Suspension for more than 10 daysCT_STUDTS_ISS_MORE_10_days = Students assigned to In School Suspension for more than 10 days during school yearPCT_STUDTS_ISS_MORE_10_days = Percent students assigned to In School Suspension for more than 10 days- - - - - -CT_GRD3_MILES_EOG_ELA_PRO_DIS = Count of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS PCT_GRD3_MILES_EOG_ELA_PRO_DIS = Percent of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS CT_GRD5_MILES_EOG_ELA_PRO_DIS = Count of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS PCT_GRD5_MILES_EOG_ELA_PRO_DIS = Percent of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS CT_GRD8_MILES_EOG_ELA_PRO_DIS = Count of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS PCT_GRD8_MILES_EOG_ELA_PRO_DIS = Percent of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS CT_GRD3_MILES_EOG_MATH_PRO_DIS = Count of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS PCT_GRD3_MILES_EOG_MATH_PRO_DIS = Percent of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS CT_GRD5_MILES_EOG_MATH_PRO_DIS = Count of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS PCT_GRD5_MILES_EOG_MATH_PRO_DIS = Percent of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS CT_GRD8_MILES_EOG_MATH_PRO_DIS = Count of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS PCT_GRD8_MILES_EOG_Math_PRO_DIS = Percent of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS CT_MILES_EOC_ALGEBRA_PRO_or_DIS = Count of Milestones EOC Algebra Test Takers Scoring PRO or DISPCT_MILES_EOC_ALGEBRA_PRO_DIS = Percent of Milestones EOC Algebra Test Takers Scoring PRO or DIS- - - - - -DENOM_TOT_GRD3_MILES_EOG_ELA = Denominator - Total Count of Grade 3 Milestones EOG ELA Test Takers DENOM_TOT_GRD5_MILES_EOG_ELA = Denominator - Total Count of Grade 5 Milestones EOG ELA Test Takers DENOM_TOT_GRD8_MILES_EOG_ELA = Denominator - Total Count of Grade 8 Milestones EOG ELA Test Takers DENOM_TOT_GRD3_MILES_EOG_MATH = Denominator - Total Count of Grade 3 Milestones EOG Math Test Takers DENOM_TOT_GRD5_MILES_EOG_MATH = Denominator - Total Count of Grade 5 Milestones EOG Math Test Takers DENOM_TOT_GRD8_MILES_EOG_MATH = Denominator - Total Count of Grade 8 Milestones EOG Math Test Takers DENOM_TOT_MILES_EOC_ALG_TAKERS = Denominator - Total Count of Milestones EOC Algebra Test Takers - - - - - -Sources/Dates: Georgia Department of Education (GA DOE), 2016 For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • Georgia Department of Education (GA DOE)
• Atlanta Regional Commission
TOT_STUDENTS_ENROLLED_SCHOOL_YR
(
type: esriFieldTypeDouble, alias: Total count of students enrolled at any time during the school year, editable: true, nullable: true, defaultValue: null, modelName: TOT_STUDENTS_ENROLLED_SCHOOL_YR
)
SUBSET_STUDENTS_GRADES_PK_5
(
type: esriFieldTypeDouble, alias: Subset of total students - any student in grades PK-5, editable: true, nullable: true, defaultValue: null, modelName: SUBSET_STUDENTS_GRADES_PK_5
)
SUBSET_STUDENTS_GRADES_6_8
(
type: esriFieldTypeDouble, alias: Subset of total students - any student in grades 6-8, editable: true, nullable: true, defaultValue: null, modelName: SUBSET_STUDENTS_GRADES_6_8
)
SUBSET_STUDENTS_GRADES_9_12
(
type: esriFieldTypeDouble, alias: Subset of total students - any student in grades 9-12, editable: true, nullable: true, defaultValue: null, modelName: SUBSET_STUDENTS_GRADES_9_12
)
STUDENT_SERVED_BY_SPECIAL_ED
(
type: esriFieldTypeDouble, alias: Student served by special education program, editable: true, nullable: true, defaultValue: null, modelName: STUDENT_SERVED_BY_SPECIAL_ED
)
PCT_SERVED_BY_SPECIAL_ED
(
type: esriFieldTypeDouble, alias: Percent served by special ed program, editable: true, nullable: true, defaultValue: null, modelName: PCT_SERVED_BY_SPECIAL_ED
)
STUDENT_SERVED_BY_GIFTED
(
type: esriFieldTypeDouble, alias: Student served by Gifted program, editable: true, nullable: true, defaultValue: null, modelName: STUDENT_SERVED_BY_GIFTED
)
PCT_SERVED_BY_GIFTED
(
type: esriFieldTypeDouble, alias: Percent served by gifted program, editable: true, nullable: true, defaultValue: null, modelName: PCT_SERVED_BY_GIFTED
)
STUDENT_IS_ENGLISH_LEARNER
(
type: esriFieldTypeDouble, alias: Student is a member of the English Learner student group (EL=Y or EL=Monitored Status), editable: true, nullable: true, defaultValue: null, modelName: STUDENT_IS_ENGLISH_LEARNER
)
PCT_ENGLISH_LEARNER
(
type: esriFieldTypeDouble, alias: Percent in English Learner Student group, editable: true, nullable: true, defaultValue: null, modelName: PCT_ENGLISH_LEARNER
)
CT_STUDTS_PARENT_ACTV_MILITARY
(
type: esriFieldTypeDouble, alias: Count of students with parent(s) in Active Military, editable: true, nullable: true, defaultValue: null, modelName: CT_STUDTS_PARENT_ACTV_MILITARY
)
PCT_STUDTS_PARENT_ACTV_MILITARY
(
type: esriFieldTypeDouble, alias: Percent students with parents in Active Military, editable: true, nullable: true, defaultValue: null, modelName: PCT_STUDTS_PARENT_ACTV_MILITARY
)
CT_MID_STUDENTS_WITHDRAW_HOME
(
type: esriFieldTypeDouble, alias: Grade 6-8 students withdrawn during school year, reason H (Withdrawn to Homeschool), editable: true, nullable: true, defaultValue: null, modelName: CT_MID_STUDENTS_WITHDRAW_HOME
)
PCT_MID_STUDENTS_WITHDRAW_HOME
(
type: esriFieldTypeDouble, alias: Percent of Middle School students withdrawn for homeschool, editable: true, nullable: true, defaultValue: null, modelName: PCT_MID_STUDENTS_WITHDRAW_HOME
)
CT_HS_STUDENTS_WITHDRAW_HOME
(
type: esriFieldTypeDouble, alias: Grade 9-12 students withdrawn during school year, reason H (Withdrawn to Homeschool), editable: true, nullable: true, defaultValue: null, modelName: CT_HS_STUDENTS_WITHDRAW_HOME
)
PCT_HS_STUDENTS_WITHDRAW_HOME
(
type: esriFieldTypeDouble, alias: Percent of High School students withdrawn for homeschool, editable: true, nullable: true, defaultValue: null, modelName: PCT_HS_STUDENTS_WITHDRAW_HOME
)
CT_MID_STUDENTS_WITHDRAW_DJJ
(
type: esriFieldTypeDouble, alias: Grade 6-8 students withdrawn during school year, reason 4 (Withdrawn to DJJ), editable: true, nullable: true, defaultValue: null, modelName: CT_MID_STUDENTS_WITHDRAW_DJJ
)
PCT_MID_STUDENTS_WITHDRAW_DJJ
(
type: esriFieldTypeDouble, alias: Percent of Middle School students withdrawn to Department of Juvenile Justice, editable: true, nullable: true, defaultValue: null, modelName: PCT_MID_STUDENTS_WITHDRAW_DJJ
)
CT_HS_STUDENTS_WITHDRAW_DJJ
(
type: esriFieldTypeDouble, alias: Grade 9-12 students withdrawing during school year with reason 4 (Withdrawn to DJJ), editable: true, nullable: true, defaultValue: null, modelName: CT_HS_STUDENTS_WITHDRAW_DJJ
)
PCT_HS_STUDENTS_WITHDRAW_DJJ
(
type: esriFieldTypeDouble, alias: Percent of High School students withdrawn to Department of Juvenile Justice, editable: true, nullable: true, defaultValue: null, modelName: PCT_HS_STUDENTS_WITHDRAW_DJJ
)
CT_STUDENTS_WITHDRAW_ANY
(
type: esriFieldTypeDouble, alias: Students withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr., editable: true, nullable: true, defaultValue: null, modelName: CT_STUDENTS_WITHDRAW_ANY
)
PCT_STUDENTS_WITHDRAW_ANY
(
type: esriFieldTypeDouble, alias: Percent withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr., editable: true, nullable: true, defaultValue: null, modelName: PCT_STUDENTS_WITHDRAW_ANY
)
STUDENTS_ABSENT_16_MORE_DAYS
(
type: esriFieldTypeDouble, alias: Absence Bracket C Student Count - Students absent 16 or More days, editable: true, nullable: true, defaultValue: null, modelName: STUDENTS_ABSENT_16_MORE_DAYS
)
PCT_STUDTS_ABSENT_16_MORE_DAYS
(
type: esriFieldTypeDouble, alias: Percent students absent more than 15 days, editable: true, nullable: true, defaultValue: null, modelName: PCT_STUDTS_ABSENT_16_MORE_DAYS
)
CT_STUDTS_REC_DISCIPLINE
(
type: esriFieldTypeDouble, alias: Count of students receiving any discipline event records during school year, editable: true, nullable: true, defaultValue: null, modelName: CT_STUDTS_REC_DISCIPLINE
)
CT_STUDTS_OSS_MORE_10_days
(
type: esriFieldTypeDouble, alias: Students assigned to Out of School Suspension for more than 10 days during school year, editable: true, nullable: true, defaultValue: null, modelName: CT_STUDTS_OSS_MORE_10_days
)
PCT_STUDTS_OSS_MORE_10_days
(
type: esriFieldTypeDouble, alias: Percent students assigned to Out of School Suspension for more than 10 days, editable: true, nullable: true, defaultValue: null, modelName: PCT_STUDTS_OSS_MORE_10_days
)
CT_STUDTS_ISS_MORE_10_days
(
type: esriFieldTypeDouble, alias: Students assigned to In School Suspension for more than 10 days during school year, editable: true, nullable: true, defaultValue: null, modelName: CT_STUDTS_ISS_MORE_10_days
)
PCT_STUDTS_ISS_MORE_10_days
(
type: esriFieldTypeDouble, alias: Percent students assigned to In School Suspension for more than 10 days, editable: true, nullable: true, defaultValue: null, modelName: PCT_STUDTS_ISS_MORE_10_days
)
CT_GRD3_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD3_MILES_EOG_ELA_PRO_DIS
)
PCT_GRD3_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD3_MILES_EOG_ELA_PRO_DIS
)
CT_GRD5_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD5_MILES_EOG_ELA_PRO_DIS
)
PCT_GRD5_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD5_MILES_EOG_ELA_PRO_DIS
)
CT_GRD8_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD8_MILES_EOG_ELA_PRO_DIS
)
PCT_GRD8_MILES_EOG_ELA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD8_MILES_EOG_ELA_PRO_DIS
)
CT_GRD3_MILES_EOG_MATH_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD3_MILES_EOG_MATH_PRO_DIS
)
PCT_GRD3_MILES_EOG_MATH_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD3_MILES_EOG_MATH_PRO_DIS
)
CT_GRD5_MILES_EOG_MATH_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD5_MILES_EOG_MATH_PRO_DIS
)
PCT_GRD5_MILES_EOG_MATH_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD5_MILES_EOG_MATH_PRO_DIS
)
CT_GRD8_MILES_EOG_MATH_PRO_DIS
(
type: esriFieldTypeDouble, alias: Count of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: CT_GRD8_MILES_EOG_MATH_PRO_DIS
)
PCT_GRD8_MILES_EOG_Math_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS , editable: true, nullable: true, defaultValue: null, modelName: PCT_GRD8_MILES_EOG_Math_PRO_DIS
)
CT_MILES_EOC_ALGEBRA_PRO_or_DIS
(
type: esriFieldTypeDouble, alias: Count of Milestones EOC Algebra Test Takers Scoring PRO or DIS, editable: true, nullable: true, defaultValue: null, modelName: CT_MILES_EOC_ALGEBRA_PRO_or_DIS
)
PCT_MILES_EOC_ALGEBRA_PRO_DIS
(
type: esriFieldTypeDouble, alias: Percent of Milestones EOC Algebra Test Takers Scoring PRO or DIS, editable: true, nullable: true, defaultValue: null, modelName: PCT_MILES_EOC_ALGEBRA_PRO_DIS
)
DENOM_TOT_GRD3_MILES_EOG_ELA
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 3 Milestones EOG ELA Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD3_MILES_EOG_ELA
)
DENOM_TOT_GRD5_MILES_EOG_ELA
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 5 Milestones EOG ELA Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD5_MILES_EOG_ELA
)
DENOM_TOT_GRD8_MILES_EOG_ELA
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 8 Milestones EOG ELA Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD8_MILES_EOG_ELA
)
DENOM_TOT_GRD3_MILES_EOG_MATH
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 3 Milestones EOG Math Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD3_MILES_EOG_MATH
)
DENOM_TOT_GRD5_MILES_EOG_MATH
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 5 Milestones EOG Math Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD5_MILES_EOG_MATH
)
DENOM_TOT_GRD8_MILES_EOG_MATH
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Grade 8 Milestones EOG Math Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_GRD8_MILES_EOG_MATH
)
DENOM_TOT_MILES_EOC_ALG_TAKERS
(
type: esriFieldTypeDouble, alias: Denominator - Total Count of Milestones EOC Algebra Test Takers , editable: true, nullable: true, defaultValue: null, modelName: DENOM_TOT_MILES_EOC_ALG_TAKERS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, amounts, and applicant income, by year for 2012-2016, by census tract in the Atlanta Region.Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county name- - - - - -Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)- - - - - -Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -ALL_LOAN_APPS_2012 = All Loan Applications, 2012ALL_LOAN_ORIG_2012 = All Loan Originations, 2012ALL_LOAN_DENIALS_2012 = All Loan Denials, 2012HOME_PURCH_LOAN_APPS_2012 = Home Purchase Loan Applications, 2012HOME_PURCH_LOAN_ORIG_2012 = Home Purchase Loan Originations, 2012HOME_PURCH_LOAN_DENIALS_2012 = Home Purchase Loan Denials, 2012HOME_REFI_LOAN_APPS_2012 = Home Refinancing Loan Applications, 2012HOME_REFI_LOAN_ORIG_2012 = Home Refinancing Loan Originations, 2012HOME_REFI_LOAN_DENIALS_2012 = Home Refinancing Loan Denials, 2012Med_Amount_LOAN_APLD_1K_2012 = Median Amount of Loan Applied for, $1k, 2012Med_Amount_LOAN_ORIG_1K_2012 = Median Amount of Loan Originated, $1k, 2012Med_Amount_LOAN_DEND_1K_2012 = Median Amount of Loan Denied, $1k, 2012MedAmt_HomePurLoan_APLD_1K_2012 = Median Amount of Home Purchase Loan Applied for, $1k, 2012MedAmt_HomePurLoan_ORIG_1K_2012 = Median Amount of Home Purchase Loan Originated, $1k, 2012MedAmt_HomePurLoan_DEND_1K_2012 = Median Amount of Home Purchase Loan Denied, $1k, 2012MedAmt_HomeRefLoan_APLD_1K_2012 = Median Amount of Home Refinancing Loan Applied for, $1k, 2012MedAmt_HomeRefLoan_ORIG_1K_2012 = Median Amount of Home Refinancing Loan Originated, $1k, 2012MedAmt_HomeRefLoan_DEND_1K_2012 = Median Amount of Home Refinancing Loan Denied, $1k, 2012Med_Income_LOAN_APLD_1K_2012 = Median Applicant Income for Loan Applied for, $1k, 2012Med_Income_LOAN_ORIG_1K_2012 = Median Applicant Income for Loan Originated, $1k, 2012Med_Income_LOAN_DEND_1K_2012 = Median Applicant Income for Loan Denied, $1k, 2012MedInc_PURCH_LOAN_APLD_1K_2012 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012MedInc_PURCH_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2012MedInc_PURCH_LOAN_DEND_1K_2012 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2012MedInc_REFI_LOAN_APLD_1K_2012 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012MedInc_REFI_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012MedInc_REFI_LOAN_DEND_1K_2012 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012LOANS_ORIG_PER_SQ_MI_2012 = Loans Originated per Square Mile, 2012HOME_PURCH_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Purchase per Square Mile, 2012HOME_REFI_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Refinancing per Square Mile, 2012PCT_LOAN_APPS_ORIG_2012 = % of Loan Applications Originated, 2012PCT_HOME_PURCH_LN_APPS_ORG_2012 = % of Home Purchase Loan Applications Originated, 2012PCT_HOME_REFI_LN_APPS_ORG_2012 = % of Home Refinancing Loan Applications Originated, 2012- - - - - -ALL_LOAN_APPS_2013 = All Loan Applications, 2013ALL_LOAN_ORIG_2013 = All Loan Originations, 2013ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013Med_Amount_LOAN_APLD_1K_2013 = Median Amount of Loan Applied for, $1k, 2013Med_Amount_LOAN_ORIG_1K_2013 = Median Amount of Loan Originated, $1k, 2013Med_Amount_LOAN_DEND_1K_2013 = Median Amount of Loan Denied, $1k, 2013MedAmt_HomePurLoan_APLD_1K_2013 = Median Amount of Home Purchase Loan Applied for, $1k, 2013MedAmt_HomePurLoan_ORIG_1K_2013 = Median Amount of Home Purchase Loan Originated, $1k, 2013MedAmt_HomePurLoan_DEND_1K_2013 = Median Amount of Home Purchase Loan Denied, $1k, 2013MedAmt_HomeRefLoan_APLD_1K_2013 = Median Amount of Home Refinancing Loan Applied for, $1k, 2013MedAmt_HomeRefLoan_ORIG_1K_2013 = Median Amount of Home Refinancing Loan Originated, $1k, 2013MedAmt_HomeRefLoan_DEND_1K_2013 = Median Amount of Home Refinancing Loan Denied, $1k, 2013Med_Income_LOAN_APLD_1K_2013 = Median Applicant Income for Loan Applied for, $1k, 2013Med_Income_LOAN_ORIG_1K_2013 = Median Applicant Income for Loan Originated, $1k, 2013Med_Income_LOAN_DEND_1K_2013 = Median Applicant Income for Loan Denied, $1k, 2013MedInc_PURCH_LOAN_APLD_1K_2013 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013MedInc_PURCH_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2013MedInc_PURCH_LOAN_DEND_1K_2013 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2013MedInc_REFI_LOAN_APLD_1K_2013 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013MedInc_REFI_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013MedInc_REFI_LOAN_DEND_1K_2013 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013- - - - - -ALL_LOAN_APPS_2014 = All Loan Applications, 2014ALL_LOAN_ORIG_2014 = All Loan Originations, 2014ALL_LOAN_DENIALS_2014 = All Loan Denials, 2014HOME_PURCH_LOAN_APPS_2014 = Home Purchase Loan Applications, 2014HOME_PURCH_LOAN_ORIG_2014 = Home Purchase Loan Originations, 2014HOME_PURCH_LOAN_DENIALS_2014 = Home Purchase Loan Denials, 2014HOME_REFI_LOAN_APPS_2014 = Home Refinancing Loan Applications, 2014HOME_REFI_LOAN_ORIG_2014 = Home Refinancing Loan Originations, 2014HOME_REFI_LOAN_DENIALS_2014 = Home Refinancing Loan Denials, 2014Med_Amount_LOAN_APLD_1K_2014 = Median Amount of Loan Applied for, $1k, 2014Med_Amount_LOAN_ORIG_1K_2014 = Median Amount of Loan Originated, $1k, 2014Med_Amount_LOAN_DEND_1K_2014 = Median Amount of Loan Denied, $1k, 2014MedAmt_HomePurLoan_APLD_1K_2014 = Median Amount of Home Purchase Loan Applied for, $1k, 2014MedAmt_HomePurLoan_ORIG_1K_2014 = Median Amount of Home Purchase Loan Originated, $1k, 2014MedAmt_HomePurLoan_DEND_1K_2014 = Median Amount of Home Purchase Loan Denied, $1k, 2014MedAmt_HomeRefLoan_APLD_1K_2014 = Median Amount of Home Refinancing Loan Applied for, $1k, 2014MedAmt_HomeRefLoan_ORIG_1K_2014 = Median Amount of Home Refinancing Loan Originated, $1k, 2014MedAmt_HomeRefLoan_DEND_1K_2014 = Median Amount of Home Refinancing Loan Denied, $1k, 2014Med_Income_LOAN_APLD_1K_2014 = Median Applicant Income for Loan Applied for, $1k, 2014Med_Income_LOAN_ORIG_1K_2014 = Median Applicant Income for Loan Originated, $1k, 2014Med_Income_LOAN_DEND_1K_2014 = Median Applicant Income for Loan Denied, $1k, 2014MedInc_PURCH_LOAN_APLD_1K_2014 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014MedInc_PURCH_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2014MedInc_PURCH_LOAN_DEND_1K_2014 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2014MedInc_REFI_LOAN_APLD_1K_2014 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014MedInc_REFI_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014MedInc_REFI_LOAN_DEND_1K_2014 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014LOANS_ORIG_PER_SQ_MI_2014 = Loans Originated per Square Mile, 2014HOME_PURCH_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Purchase per Square Mile, 2014HOME_REFI_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Refinancing per Square Mile, 2014PCT_LOAN_APPS_ORIG_2014 = % of Loan Applications Originated, 2014PCT_HOME_PURCH_LN_APPS_ORG_2014 = % of Home Purchase Loan Applications Originated, 2014PCT_HOME_REFI_LN_APPS_ORG_2014 = % of Home Refinancing Loan Applications Originated, 2014Chg_Loans_Orig_2012_14 = Change in Loan Originations, 2012-2014Chg_Purch_Loans_Orig_2012_14 = Change in Loan Originations for Home Purchase, 2012-2014Chg_Refi_Loans_Orig_2012_14 = Change in Loan Originations for Home Refinancing, 2012-2014Chg_Loans_Orig_SqMi_2012_14 = Change in Loans Originated per Square Mile, 2012-2014Chg_PurLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2014Chg_RefLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2014ChgPct_Loan_Apps_Orig_2012_14 = Change in % of Loan Applications Originated, 2012-2014ChgPct_PurLoan_AppsOrig_2012_14 = Change in % of Home Purchase Loan Applications Originated, 2012-2014ChgPct_RefLoan_AppsOrig_2012_14 = Change in % of Home Refinancing Loan Applications Originated, 2012-2014- - - - - -ALL_LOAN_APPS_2015 = All Loan Applications, 2015ALL_LOAN_ORIG_2015 = All Loan Originations, 2015ALL_LOAN_DENIALS_2015 = All Loan Denials, 2015HOME_PURCH_LOAN_APPS_2015 = Home Purchase Loan Applications, 2015HOME_PURCH_LOAN_ORIG_2015 = Home Purchase Loan Originations, 2015HOME_PURCH_LOAN_DENIALS_2015 = Home Purchase Loan Denials, 2015HOME_REFI_LOAN_APPS_2015 = Home Refinancing Loan Applications, 2015HOME_REFI_LOAN_ORIG_2015 = Home Refinancing Loan Originations, 2015HOME_REFI_LOAN_DENIALS_2015 = Home Refinancing Loan Denials, 2015Med_Amount_LOAN_APLD_1K_2015 = Median Amount of Loan Applied for, $1k, 2015Med_Amount_LOAN_ORIG_1K_2015 = Median Amount of Loan Originated, $1k, 2015Med_Amount_LOAN_DEND_1K_2015 = Median Amount of Loan Denied, $1k, 2015MedAmt_HomePurLoan_APLD_1K_2015 = Median Amount of Home Purchase Loan Applied for, $1k, 2015MedAmt_HomePurLoan_ORIG_1K_2015 = Median Amount of Home Purchase Loan Originated, $1k, 2015MedAmt_HomePurLoan_DEND_1K_2015 = Median Amount of Home Purchase Loan Denied, $1k, 2015MedAmt_HomeRefLoan_APLD_1K_2015 = Median Amount of Home Refinancing Loan Applied for, $1k, 2015MedAmt_HomeRefLoan_ORIG_1K_2015 = Median Amount of Home Refinancing Loan Originated, $1k, 2015MedAmt_HomeRefLoan_DEND_1K_2015 = Median Amount of Home Refinancing Loan Denied, $1k, 2015Med_Income_LOAN_APLD_1K_2015 = Median Applicant Income for Loan Applied for, $1k, 2015Med_Income_LOAN_ORIG_1K_2015 = Median Applicant Income for Loan Originated, $1k, 2015Med_Income_LOAN_DEND_1K_2015 = Median Applicant Income for Loan Denied, $1k, 2015MedInc_PURCH_LOAN_APLD_1K_2015 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015MedInc_PURCH_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2015MedInc_PURCH_LOAN_DEND_1K_2015 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2015MedInc_REFI_LOAN_APLD_1K_2015 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015MedInc_REFI_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015MedInc_REFI_LOAN_DEND_1K_2015 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015LOANS_ORIG_PER_SQ_MI_2015 = Loans Originated per Square Mile, 2015HOME_PURCH_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Purchase per Square Mile, 2015HOME_REFI_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Refinancing per Square Mile, 2015PCT_LOAN_APPS_ORIG_2015 = % of Loan Applications Originated, 2015PCT_HOME_PURCH_LN_APPS_ORG_2015 = % of Home Purchase Loan Applications Originated, 2015PCT_HOME_REFI_LN_APPS_ORG_2015 = % of Home Refinancing Loan Applications Originated, 2015Chg_Loans_Orig_2012_15 = Change in Loan Originations, 2012-2015Chg_Purch_Loans_Orig_2012_15 = Change in Loan Originations for Home Purchase, 2012-2015Chg_Refi_Loans_Orig_2012_15 = Change in Loan Originations for Home Refinancing, 2012-2015Chg_Loans_Orig_SqMi_2012_15 = Change in Loans Originated per Square Mile, 2012-2015Chg_PurLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2015Chg_RefLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2015ChgPct_Loan_Apps_Orig_2012_15 = Change in % of Loan Applications Originated, 2012-2015ChgPct_PurLoan_AppsOrig_2012_15 = Change in % of Home Purchase Loan Applications Originated, 2012-2015ChgPct_RefLoan_AppsOrig_2012_15 = Change in % of Home Refinancing Loan Applications Originated, 2012-2015Chg_Loans_Orig_2014_15 = Change in Loan Originations, 2014-2015Chg_Purch_Loans_Orig_2014_15 = Change in Loan Originations for Home Purchase, 2014-2015Chg_Refi_Loans_Orig_2014_15 = Change in Loan Originations for Home Refinancing, 2014-2015Chg_Loans_Orig_SqMi_2014_15 = Change in Loans Originated per Square Mile, 2014-2015Chg_PurLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Purchase per Square Mile, 2014-2015Chg_RefLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2014-2015ChgPct_Loan_Apps_Orig_2014_15 = Change in % of Loan Applications Originated, 2014-2015ChgPct_PurLoan_AppsOrig_2014_15 = Change in % of Home Purchase Loan Applications Originated, 2014-2015ChgPct_RefLoan_AppsOrig_2014_15 = Change in % of Home Refinancing Loan Applications Originated, 2014-2015- - - - - -ALL_LOAN_APPS_2016 = All Loan Applications, 2016ALL_LOAN_ORIG_2016 = All Loan Originations, 2016ALL_LOAN_DENIALS_2016 = All Loan Denials, 2016HOME_PURCH_LOAN_APPS_2016 = Home Purchase Loan Applications, 2016HOME_PURCH_LOAN_ORIG_2016 = Home Purchase Loan Originations, 2016HOME_PURCH_LOAN_DENIALS_2016 = Home Purchase Loan Denials, 2016HOME_REFI_LOAN_APPS_2016 = Home Refinancing Loan Applications, 2016HOME_REFI_LOAN_ORIG_2016 = Home Refinancing Loan Originations, 2016HOME_REFI_LOAN_DENIALS_2016 = Home Refinancing Loan Denials, 2016Med_Amount_LOAN_APLD_1K_2016 = Median Amount of Loan Applied for, $1k, 2016Med_Amount_LOAN_ORIG_1K_2016 = Median Amount of Loan Originated, $1k, 2016Med_Amount_LOAN_DEND_1K_2016 = Median Amount of Loan Denied, $1k, 2016MedAmt_HomePurLoan_APLD_1K_2016 = Median Amount of Home Purchase Loan Applied for, $1k, 2016MedAmt_HomePurLoan_ORIG_1K_2016 = Median Amount of Home Purchase Loan Originated, $1k, 2016MedAmt_HomePurLoan_DEND_1K_2016 = Median Amount of Home Purchase Loan Denied, $1k, 2016MedAmt_HomeRefLoan_APLD_1K_2016 = Median Amount of Home Refinancing Loan Applied for, $1k, 2016MedAmt_HomeRefLoan_ORIG_1K_2016 = Median Amount of Home Refinancing Loan Originated, $1k, 2016MedAmt_HomeRefLoan_DEND_1K_2016 = Median Amount of Home Refinancing Loan Denied, $1k, 2016Med_Income_LOAN_APLD_1K_2016 = Median Applicant Income for Loan Applied for, $1k, 2016Med_Income_LOAN_ORIG_1K_2016 = Median Applicant Income for Loan Originated, $1k, 2016Med_Income_LOAN_DEND_1K_2016 = Median Applicant Income for Loan Denied, $1k, 2016MedInc_PURCH_LOAN_APLD_1K_2016 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016MedInc_PURCH_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2016MedInc_PURCH_LOAN_DEND_1K_2016 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2016MedInc_REFI_LOAN_APLD_1K_2016 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016MedInc_REFI_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016MedInc_REFI_LOAN_DEND_1K_2016 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016LOANS_ORIG_PER_SQ_MI_2016 = Loans Originated per Square Mile, 2016HOME_PURCH_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Purchase per Square Mile, 2016HOME_REFI_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Refinancing per Square Mile, 2016PCT_LOAN_APPS_ORIG_2016 = % of Loan Applications Originated, 2016PCT_HOME_PURCH_LN_APPS_ORG_2016 = % of Home Purchase Loan Applications Originated, 2016PCT_HOME_REFI_LN_APPS_ORG_2016 = % of Home Refinancing Loan Applications Originated, 2016Chg_Loans_Orig_2012_16 = Change in Loan Originations, 2012-2016Chg_Purch_Loans_Orig_2012_16 = Change in Loan Originations for Home Purchase, 2012-2016Chg_Refi_Loans_Orig_2012_16 = Change in Loan Originations for Home Refinancing, 2012-2016Chg_Loans_Orig_SqMi_2012_16 = Change in Loans Originated per Square Mile, 2012-2016Chg_PurLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2016Chg_RefLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2016ChgPct_Loan_Apps_Orig_2012_16 = Change in % of Loan Applications Originated, 2012-2016ChgPct_PurLoan_AppsOrig_2012_16 = Change in % of Home Purchase Loan Applications Originated, 2012-2016ChgPct_RefLoan_AppsOrig_2012_16 = Change in % of Home Refinancing Loan Applications Originated, 2012-2016Chg_Loans_Orig_2015_16 = Change in Loan Originations, 2015-2016Chg_Purch_Loans_Orig_2015_16 = Change in Loan Originations for Home Purchase, 2015-2016Chg_Refi_Loans_Orig_2015_16 = Change in Loan Originations for Home Refinancing, 2015-2016Chg_Loans_Orig_SqMi_2015_16 = Change in Loans Originated per Square Mile, 2015-2016Chg_PurLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Purchase per Square Mile, 2015-2016Chg_RefLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2015-2016ChgPct_Loan_Apps_Orig_2015_16 = Change in % of Loan Applications Originated, 2015-2016ChgPct_PurLoan_AppsOrig_2015_16 = Change in % of Home Purchase Loan Applications Originated, 2015-2016ChgPct_RefLoan_AppsOrig_2015_16 = Change in % of Home Refinancing Loan Applications Originated, 2015-2016- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Home Mortgage Disclosure Act (HMDA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
MedAmt_HomePurLoan_APLD_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Applied for, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_APLD_1K_2012
)
MedAmt_HomePurLoan_ORIG_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Originated, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_ORIG_1K_2012
)
MedAmt_HomePurLoan_DEND_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Denied, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_DEND_1K_2012
)
MedAmt_HomeRefLoan_APLD_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Applied for, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_APLD_1K_2012
)
MedAmt_HomeRefLoan_ORIG_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Originated, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_ORIG_1K_2012
)
MedAmt_HomeRefLoan_DEND_1K_2012
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Denied, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_DEND_1K_2012
)
Med_Income_LOAN_APLD_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Applied for, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_APLD_1K_2012
)
Med_Income_LOAN_ORIG_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Originated, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_ORIG_1K_2012
)
Med_Income_LOAN_DEND_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Denied, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_DEND_1K_2012
)
MedInc_PURCH_LOAN_APLD_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_APLD_1K_2012
)
MedInc_PURCH_LOAN_ORIG_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Originated, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_ORIG_1K_2012
)
MedInc_PURCH_LOAN_DEND_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Denied, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_DEND_1K_2012
)
MedInc_REFI_LOAN_APLD_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_APLD_1K_2012
)
MedInc_REFI_LOAN_ORIG_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_ORIG_1K_2012
)
MedInc_REFI_LOAN_DEND_1K_2012
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_DEND_1K_2012
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, amounts, and applicant income, by year for 2012-2016, by census tract in the Atlanta Region.Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county name- - - - - -Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)- - - - - -Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -ALL_LOAN_APPS_2012 = All Loan Applications, 2012ALL_LOAN_ORIG_2012 = All Loan Originations, 2012ALL_LOAN_DENIALS_2012 = All Loan Denials, 2012HOME_PURCH_LOAN_APPS_2012 = Home Purchase Loan Applications, 2012HOME_PURCH_LOAN_ORIG_2012 = Home Purchase Loan Originations, 2012HOME_PURCH_LOAN_DENIALS_2012 = Home Purchase Loan Denials, 2012HOME_REFI_LOAN_APPS_2012 = Home Refinancing Loan Applications, 2012HOME_REFI_LOAN_ORIG_2012 = Home Refinancing Loan Originations, 2012HOME_REFI_LOAN_DENIALS_2012 = Home Refinancing Loan Denials, 2012Med_Amount_LOAN_APLD_1K_2012 = Median Amount of Loan Applied for, $1k, 2012Med_Amount_LOAN_ORIG_1K_2012 = Median Amount of Loan Originated, $1k, 2012Med_Amount_LOAN_DEND_1K_2012 = Median Amount of Loan Denied, $1k, 2012MedAmt_HomePurLoan_APLD_1K_2012 = Median Amount of Home Purchase Loan Applied for, $1k, 2012MedAmt_HomePurLoan_ORIG_1K_2012 = Median Amount of Home Purchase Loan Originated, $1k, 2012MedAmt_HomePurLoan_DEND_1K_2012 = Median Amount of Home Purchase Loan Denied, $1k, 2012MedAmt_HomeRefLoan_APLD_1K_2012 = Median Amount of Home Refinancing Loan Applied for, $1k, 2012MedAmt_HomeRefLoan_ORIG_1K_2012 = Median Amount of Home Refinancing Loan Originated, $1k, 2012MedAmt_HomeRefLoan_DEND_1K_2012 = Median Amount of Home Refinancing Loan Denied, $1k, 2012Med_Income_LOAN_APLD_1K_2012 = Median Applicant Income for Loan Applied for, $1k, 2012Med_Income_LOAN_ORIG_1K_2012 = Median Applicant Income for Loan Originated, $1k, 2012Med_Income_LOAN_DEND_1K_2012 = Median Applicant Income for Loan Denied, $1k, 2012MedInc_PURCH_LOAN_APLD_1K_2012 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012MedInc_PURCH_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2012MedInc_PURCH_LOAN_DEND_1K_2012 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2012MedInc_REFI_LOAN_APLD_1K_2012 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012MedInc_REFI_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012MedInc_REFI_LOAN_DEND_1K_2012 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012LOANS_ORIG_PER_SQ_MI_2012 = Loans Originated per Square Mile, 2012HOME_PURCH_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Purchase per Square Mile, 2012HOME_REFI_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Refinancing per Square Mile, 2012PCT_LOAN_APPS_ORIG_2012 = % of Loan Applications Originated, 2012PCT_HOME_PURCH_LN_APPS_ORG_2012 = % of Home Purchase Loan Applications Originated, 2012PCT_HOME_REFI_LN_APPS_ORG_2012 = % of Home Refinancing Loan Applications Originated, 2012- - - - - -ALL_LOAN_APPS_2013 = All Loan Applications, 2013ALL_LOAN_ORIG_2013 = All Loan Originations, 2013ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013Med_Amount_LOAN_APLD_1K_2013 = Median Amount of Loan Applied for, $1k, 2013Med_Amount_LOAN_ORIG_1K_2013 = Median Amount of Loan Originated, $1k, 2013Med_Amount_LOAN_DEND_1K_2013 = Median Amount of Loan Denied, $1k, 2013MedAmt_HomePurLoan_APLD_1K_2013 = Median Amount of Home Purchase Loan Applied for, $1k, 2013MedAmt_HomePurLoan_ORIG_1K_2013 = Median Amount of Home Purchase Loan Originated, $1k, 2013MedAmt_HomePurLoan_DEND_1K_2013 = Median Amount of Home Purchase Loan Denied, $1k, 2013MedAmt_HomeRefLoan_APLD_1K_2013 = Median Amount of Home Refinancing Loan Applied for, $1k, 2013MedAmt_HomeRefLoan_ORIG_1K_2013 = Median Amount of Home Refinancing Loan Originated, $1k, 2013MedAmt_HomeRefLoan_DEND_1K_2013 = Median Amount of Home Refinancing Loan Denied, $1k, 2013Med_Income_LOAN_APLD_1K_2013 = Median Applicant Income for Loan Applied for, $1k, 2013Med_Income_LOAN_ORIG_1K_2013 = Median Applicant Income for Loan Originated, $1k, 2013Med_Income_LOAN_DEND_1K_2013 = Median Applicant Income for Loan Denied, $1k, 2013MedInc_PURCH_LOAN_APLD_1K_2013 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013MedInc_PURCH_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2013MedInc_PURCH_LOAN_DEND_1K_2013 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2013MedInc_REFI_LOAN_APLD_1K_2013 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013MedInc_REFI_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013MedInc_REFI_LOAN_DEND_1K_2013 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013- - - - - -ALL_LOAN_APPS_2014 = All Loan Applications, 2014ALL_LOAN_ORIG_2014 = All Loan Originations, 2014ALL_LOAN_DENIALS_2014 = All Loan Denials, 2014HOME_PURCH_LOAN_APPS_2014 = Home Purchase Loan Applications, 2014HOME_PURCH_LOAN_ORIG_2014 = Home Purchase Loan Originations, 2014HOME_PURCH_LOAN_DENIALS_2014 = Home Purchase Loan Denials, 2014HOME_REFI_LOAN_APPS_2014 = Home Refinancing Loan Applications, 2014HOME_REFI_LOAN_ORIG_2014 = Home Refinancing Loan Originations, 2014HOME_REFI_LOAN_DENIALS_2014 = Home Refinancing Loan Denials, 2014Med_Amount_LOAN_APLD_1K_2014 = Median Amount of Loan Applied for, $1k, 2014Med_Amount_LOAN_ORIG_1K_2014 = Median Amount of Loan Originated, $1k, 2014Med_Amount_LOAN_DEND_1K_2014 = Median Amount of Loan Denied, $1k, 2014MedAmt_HomePurLoan_APLD_1K_2014 = Median Amount of Home Purchase Loan Applied for, $1k, 2014MedAmt_HomePurLoan_ORIG_1K_2014 = Median Amount of Home Purchase Loan Originated, $1k, 2014MedAmt_HomePurLoan_DEND_1K_2014 = Median Amount of Home Purchase Loan Denied, $1k, 2014MedAmt_HomeRefLoan_APLD_1K_2014 = Median Amount of Home Refinancing Loan Applied for, $1k, 2014MedAmt_HomeRefLoan_ORIG_1K_2014 = Median Amount of Home Refinancing Loan Originated, $1k, 2014MedAmt_HomeRefLoan_DEND_1K_2014 = Median Amount of Home Refinancing Loan Denied, $1k, 2014Med_Income_LOAN_APLD_1K_2014 = Median Applicant Income for Loan Applied for, $1k, 2014Med_Income_LOAN_ORIG_1K_2014 = Median Applicant Income for Loan Originated, $1k, 2014Med_Income_LOAN_DEND_1K_2014 = Median Applicant Income for Loan Denied, $1k, 2014MedInc_PURCH_LOAN_APLD_1K_2014 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014MedInc_PURCH_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2014MedInc_PURCH_LOAN_DEND_1K_2014 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2014MedInc_REFI_LOAN_APLD_1K_2014 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014MedInc_REFI_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014MedInc_REFI_LOAN_DEND_1K_2014 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014LOANS_ORIG_PER_SQ_MI_2014 = Loans Originated per Square Mile, 2014HOME_PURCH_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Purchase per Square Mile, 2014HOME_REFI_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Refinancing per Square Mile, 2014PCT_LOAN_APPS_ORIG_2014 = % of Loan Applications Originated, 2014PCT_HOME_PURCH_LN_APPS_ORG_2014 = % of Home Purchase Loan Applications Originated, 2014PCT_HOME_REFI_LN_APPS_ORG_2014 = % of Home Refinancing Loan Applications Originated, 2014Chg_Loans_Orig_2012_14 = Change in Loan Originations, 2012-2014Chg_Purch_Loans_Orig_2012_14 = Change in Loan Originations for Home Purchase, 2012-2014Chg_Refi_Loans_Orig_2012_14 = Change in Loan Originations for Home Refinancing, 2012-2014Chg_Loans_Orig_SqMi_2012_14 = Change in Loans Originated per Square Mile, 2012-2014Chg_PurLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2014Chg_RefLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2014ChgPct_Loan_Apps_Orig_2012_14 = Change in % of Loan Applications Originated, 2012-2014ChgPct_PurLoan_AppsOrig_2012_14 = Change in % of Home Purchase Loan Applications Originated, 2012-2014ChgPct_RefLoan_AppsOrig_2012_14 = Change in % of Home Refinancing Loan Applications Originated, 2012-2014- - - - - -ALL_LOAN_APPS_2015 = All Loan Applications, 2015ALL_LOAN_ORIG_2015 = All Loan Originations, 2015ALL_LOAN_DENIALS_2015 = All Loan Denials, 2015HOME_PURCH_LOAN_APPS_2015 = Home Purchase Loan Applications, 2015HOME_PURCH_LOAN_ORIG_2015 = Home Purchase Loan Originations, 2015HOME_PURCH_LOAN_DENIALS_2015 = Home Purchase Loan Denials, 2015HOME_REFI_LOAN_APPS_2015 = Home Refinancing Loan Applications, 2015HOME_REFI_LOAN_ORIG_2015 = Home Refinancing Loan Originations, 2015HOME_REFI_LOAN_DENIALS_2015 = Home Refinancing Loan Denials, 2015Med_Amount_LOAN_APLD_1K_2015 = Median Amount of Loan Applied for, $1k, 2015Med_Amount_LOAN_ORIG_1K_2015 = Median Amount of Loan Originated, $1k, 2015Med_Amount_LOAN_DEND_1K_2015 = Median Amount of Loan Denied, $1k, 2015MedAmt_HomePurLoan_APLD_1K_2015 = Median Amount of Home Purchase Loan Applied for, $1k, 2015MedAmt_HomePurLoan_ORIG_1K_2015 = Median Amount of Home Purchase Loan Originated, $1k, 2015MedAmt_HomePurLoan_DEND_1K_2015 = Median Amount of Home Purchase Loan Denied, $1k, 2015MedAmt_HomeRefLoan_APLD_1K_2015 = Median Amount of Home Refinancing Loan Applied for, $1k, 2015MedAmt_HomeRefLoan_ORIG_1K_2015 = Median Amount of Home Refinancing Loan Originated, $1k, 2015MedAmt_HomeRefLoan_DEND_1K_2015 = Median Amount of Home Refinancing Loan Denied, $1k, 2015Med_Income_LOAN_APLD_1K_2015 = Median Applicant Income for Loan Applied for, $1k, 2015Med_Income_LOAN_ORIG_1K_2015 = Median Applicant Income for Loan Originated, $1k, 2015Med_Income_LOAN_DEND_1K_2015 = Median Applicant Income for Loan Denied, $1k, 2015MedInc_PURCH_LOAN_APLD_1K_2015 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015MedInc_PURCH_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2015MedInc_PURCH_LOAN_DEND_1K_2015 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2015MedInc_REFI_LOAN_APLD_1K_2015 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015MedInc_REFI_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015MedInc_REFI_LOAN_DEND_1K_2015 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015LOANS_ORIG_PER_SQ_MI_2015 = Loans Originated per Square Mile, 2015HOME_PURCH_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Purchase per Square Mile, 2015HOME_REFI_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Refinancing per Square Mile, 2015PCT_LOAN_APPS_ORIG_2015 = % of Loan Applications Originated, 2015PCT_HOME_PURCH_LN_APPS_ORG_2015 = % of Home Purchase Loan Applications Originated, 2015PCT_HOME_REFI_LN_APPS_ORG_2015 = % of Home Refinancing Loan Applications Originated, 2015Chg_Loans_Orig_2012_15 = Change in Loan Originations, 2012-2015Chg_Purch_Loans_Orig_2012_15 = Change in Loan Originations for Home Purchase, 2012-2015Chg_Refi_Loans_Orig_2012_15 = Change in Loan Originations for Home Refinancing, 2012-2015Chg_Loans_Orig_SqMi_2012_15 = Change in Loans Originated per Square Mile, 2012-2015Chg_PurLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2015Chg_RefLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2015ChgPct_Loan_Apps_Orig_2012_15 = Change in % of Loan Applications Originated, 2012-2015ChgPct_PurLoan_AppsOrig_2012_15 = Change in % of Home Purchase Loan Applications Originated, 2012-2015ChgPct_RefLoan_AppsOrig_2012_15 = Change in % of Home Refinancing Loan Applications Originated, 2012-2015Chg_Loans_Orig_2014_15 = Change in Loan Originations, 2014-2015Chg_Purch_Loans_Orig_2014_15 = Change in Loan Originations for Home Purchase, 2014-2015Chg_Refi_Loans_Orig_2014_15 = Change in Loan Originations for Home Refinancing, 2014-2015Chg_Loans_Orig_SqMi_2014_15 = Change in Loans Originated per Square Mile, 2014-2015Chg_PurLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Purchase per Square Mile, 2014-2015Chg_RefLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2014-2015ChgPct_Loan_Apps_Orig_2014_15 = Change in % of Loan Applications Originated, 2014-2015ChgPct_PurLoan_AppsOrig_2014_15 = Change in % of Home Purchase Loan Applications Originated, 2014-2015ChgPct_RefLoan_AppsOrig_2014_15 = Change in % of Home Refinancing Loan Applications Originated, 2014-2015- - - - - -ALL_LOAN_APPS_2016 = All Loan Applications, 2016ALL_LOAN_ORIG_2016 = All Loan Originations, 2016ALL_LOAN_DENIALS_2016 = All Loan Denials, 2016HOME_PURCH_LOAN_APPS_2016 = Home Purchase Loan Applications, 2016HOME_PURCH_LOAN_ORIG_2016 = Home Purchase Loan Originations, 2016HOME_PURCH_LOAN_DENIALS_2016 = Home Purchase Loan Denials, 2016HOME_REFI_LOAN_APPS_2016 = Home Refinancing Loan Applications, 2016HOME_REFI_LOAN_ORIG_2016 = Home Refinancing Loan Originations, 2016HOME_REFI_LOAN_DENIALS_2016 = Home Refinancing Loan Denials, 2016Med_Amount_LOAN_APLD_1K_2016 = Median Amount of Loan Applied for, $1k, 2016Med_Amount_LOAN_ORIG_1K_2016 = Median Amount of Loan Originated, $1k, 2016Med_Amount_LOAN_DEND_1K_2016 = Median Amount of Loan Denied, $1k, 2016MedAmt_HomePurLoan_APLD_1K_2016 = Median Amount of Home Purchase Loan Applied for, $1k, 2016MedAmt_HomePurLoan_ORIG_1K_2016 = Median Amount of Home Purchase Loan Originated, $1k, 2016MedAmt_HomePurLoan_DEND_1K_2016 = Median Amount of Home Purchase Loan Denied, $1k, 2016MedAmt_HomeRefLoan_APLD_1K_2016 = Median Amount of Home Refinancing Loan Applied for, $1k, 2016MedAmt_HomeRefLoan_ORIG_1K_2016 = Median Amount of Home Refinancing Loan Originated, $1k, 2016MedAmt_HomeRefLoan_DEND_1K_2016 = Median Amount of Home Refinancing Loan Denied, $1k, 2016Med_Income_LOAN_APLD_1K_2016 = Median Applicant Income for Loan Applied for, $1k, 2016Med_Income_LOAN_ORIG_1K_2016 = Median Applicant Income for Loan Originated, $1k, 2016Med_Income_LOAN_DEND_1K_2016 = Median Applicant Income for Loan Denied, $1k, 2016MedInc_PURCH_LOAN_APLD_1K_2016 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016MedInc_PURCH_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2016MedInc_PURCH_LOAN_DEND_1K_2016 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2016MedInc_REFI_LOAN_APLD_1K_2016 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016MedInc_REFI_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016MedInc_REFI_LOAN_DEND_1K_2016 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016LOANS_ORIG_PER_SQ_MI_2016 = Loans Originated per Square Mile, 2016HOME_PURCH_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Purchase per Square Mile, 2016HOME_REFI_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Refinancing per Square Mile, 2016PCT_LOAN_APPS_ORIG_2016 = % of Loan Applications Originated, 2016PCT_HOME_PURCH_LN_APPS_ORG_2016 = % of Home Purchase Loan Applications Originated, 2016PCT_HOME_REFI_LN_APPS_ORG_2016 = % of Home Refinancing Loan Applications Originated, 2016Chg_Loans_Orig_2012_16 = Change in Loan Originations, 2012-2016Chg_Purch_Loans_Orig_2012_16 = Change in Loan Originations for Home Purchase, 2012-2016Chg_Refi_Loans_Orig_2012_16 = Change in Loan Originations for Home Refinancing, 2012-2016Chg_Loans_Orig_SqMi_2012_16 = Change in Loans Originated per Square Mile, 2012-2016Chg_PurLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2016Chg_RefLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2016ChgPct_Loan_Apps_Orig_2012_16 = Change in % of Loan Applications Originated, 2012-2016ChgPct_PurLoan_AppsOrig_2012_16 = Change in % of Home Purchase Loan Applications Originated, 2012-2016ChgPct_RefLoan_AppsOrig_2012_16 = Change in % of Home Refinancing Loan Applications Originated, 2012-2016Chg_Loans_Orig_2015_16 = Change in Loan Originations, 2015-2016Chg_Purch_Loans_Orig_2015_16 = Change in Loan Originations for Home Purchase, 2015-2016Chg_Refi_Loans_Orig_2015_16 = Change in Loan Originations for Home Refinancing, 2015-2016Chg_Loans_Orig_SqMi_2015_16 = Change in Loans Originated per Square Mile, 2015-2016Chg_PurLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Purchase per Square Mile, 2015-2016Chg_RefLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2015-2016ChgPct_Loan_Apps_Orig_2015_16 = Change in % of Loan Applications Originated, 2015-2016ChgPct_PurLoan_AppsOrig_2015_16 = Change in % of Home Purchase Loan Applications Originated, 2015-2016ChgPct_RefLoan_AppsOrig_2015_16 = Change in % of Home Refinancing Loan Applications Originated, 2015-2016- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Home Mortgage Disclosure Act (HMDA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
MedAmt_HomePurLoan_APLD_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Applied for, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_APLD_1K_2013
)
MedAmt_HomePurLoan_ORIG_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Originated, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_ORIG_1K_2013
)
MedAmt_HomePurLoan_DEND_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Denied, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_DEND_1K_2013
)
MedAmt_HomeRefLoan_APLD_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Applied for, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_APLD_1K_2013
)
MedAmt_HomeRefLoan_ORIG_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Originated, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_ORIG_1K_2013
)
MedAmt_HomeRefLoan_DEND_1K_2013
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Denied, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_DEND_1K_2013
)
Med_Income_LOAN_APLD_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Applied for, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_APLD_1K_2013
)
Med_Income_LOAN_ORIG_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Originated, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_ORIG_1K_2013
)
Med_Income_LOAN_DEND_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Denied, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_DEND_1K_2013
)
MedInc_PURCH_LOAN_APLD_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_APLD_1K_2013
)
MedInc_PURCH_LOAN_ORIG_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Originated, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_ORIG_1K_2013
)
MedInc_PURCH_LOAN_DEND_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Denied, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_DEND_1K_2013
)
MedInc_REFI_LOAN_APLD_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_APLD_1K_2013
)
MedInc_REFI_LOAN_ORIG_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_ORIG_1K_2013
)
MedInc_REFI_LOAN_DEND_1K_2013
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_DEND_1K_2013
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, amounts, and applicant income, by year for 2012-2016, by census tract in the Atlanta Region.Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county name- - - - - -Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)- - - - - -Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -ALL_LOAN_APPS_2012 = All Loan Applications, 2012ALL_LOAN_ORIG_2012 = All Loan Originations, 2012ALL_LOAN_DENIALS_2012 = All Loan Denials, 2012HOME_PURCH_LOAN_APPS_2012 = Home Purchase Loan Applications, 2012HOME_PURCH_LOAN_ORIG_2012 = Home Purchase Loan Originations, 2012HOME_PURCH_LOAN_DENIALS_2012 = Home Purchase Loan Denials, 2012HOME_REFI_LOAN_APPS_2012 = Home Refinancing Loan Applications, 2012HOME_REFI_LOAN_ORIG_2012 = Home Refinancing Loan Originations, 2012HOME_REFI_LOAN_DENIALS_2012 = Home Refinancing Loan Denials, 2012Med_Amount_LOAN_APLD_1K_2012 = Median Amount of Loan Applied for, $1k, 2012Med_Amount_LOAN_ORIG_1K_2012 = Median Amount of Loan Originated, $1k, 2012Med_Amount_LOAN_DEND_1K_2012 = Median Amount of Loan Denied, $1k, 2012MedAmt_HomePurLoan_APLD_1K_2012 = Median Amount of Home Purchase Loan Applied for, $1k, 2012MedAmt_HomePurLoan_ORIG_1K_2012 = Median Amount of Home Purchase Loan Originated, $1k, 2012MedAmt_HomePurLoan_DEND_1K_2012 = Median Amount of Home Purchase Loan Denied, $1k, 2012MedAmt_HomeRefLoan_APLD_1K_2012 = Median Amount of Home Refinancing Loan Applied for, $1k, 2012MedAmt_HomeRefLoan_ORIG_1K_2012 = Median Amount of Home Refinancing Loan Originated, $1k, 2012MedAmt_HomeRefLoan_DEND_1K_2012 = Median Amount of Home Refinancing Loan Denied, $1k, 2012Med_Income_LOAN_APLD_1K_2012 = Median Applicant Income for Loan Applied for, $1k, 2012Med_Income_LOAN_ORIG_1K_2012 = Median Applicant Income for Loan Originated, $1k, 2012Med_Income_LOAN_DEND_1K_2012 = Median Applicant Income for Loan Denied, $1k, 2012MedInc_PURCH_LOAN_APLD_1K_2012 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012MedInc_PURCH_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2012MedInc_PURCH_LOAN_DEND_1K_2012 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2012MedInc_REFI_LOAN_APLD_1K_2012 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012MedInc_REFI_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012MedInc_REFI_LOAN_DEND_1K_2012 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012LOANS_ORIG_PER_SQ_MI_2012 = Loans Originated per Square Mile, 2012HOME_PURCH_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Purchase per Square Mile, 2012HOME_REFI_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Refinancing per Square Mile, 2012PCT_LOAN_APPS_ORIG_2012 = % of Loan Applications Originated, 2012PCT_HOME_PURCH_LN_APPS_ORG_2012 = % of Home Purchase Loan Applications Originated, 2012PCT_HOME_REFI_LN_APPS_ORG_2012 = % of Home Refinancing Loan Applications Originated, 2012- - - - - -ALL_LOAN_APPS_2013 = All Loan Applications, 2013ALL_LOAN_ORIG_2013 = All Loan Originations, 2013ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013Med_Amount_LOAN_APLD_1K_2013 = Median Amount of Loan Applied for, $1k, 2013Med_Amount_LOAN_ORIG_1K_2013 = Median Amount of Loan Originated, $1k, 2013Med_Amount_LOAN_DEND_1K_2013 = Median Amount of Loan Denied, $1k, 2013MedAmt_HomePurLoan_APLD_1K_2013 = Median Amount of Home Purchase Loan Applied for, $1k, 2013MedAmt_HomePurLoan_ORIG_1K_2013 = Median Amount of Home Purchase Loan Originated, $1k, 2013MedAmt_HomePurLoan_DEND_1K_2013 = Median Amount of Home Purchase Loan Denied, $1k, 2013MedAmt_HomeRefLoan_APLD_1K_2013 = Median Amount of Home Refinancing Loan Applied for, $1k, 2013MedAmt_HomeRefLoan_ORIG_1K_2013 = Median Amount of Home Refinancing Loan Originated, $1k, 2013MedAmt_HomeRefLoan_DEND_1K_2013 = Median Amount of Home Refinancing Loan Denied, $1k, 2013Med_Income_LOAN_APLD_1K_2013 = Median Applicant Income for Loan Applied for, $1k, 2013Med_Income_LOAN_ORIG_1K_2013 = Median Applicant Income for Loan Originated, $1k, 2013Med_Income_LOAN_DEND_1K_2013 = Median Applicant Income for Loan Denied, $1k, 2013MedInc_PURCH_LOAN_APLD_1K_2013 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013MedInc_PURCH_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2013MedInc_PURCH_LOAN_DEND_1K_2013 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2013MedInc_REFI_LOAN_APLD_1K_2013 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013MedInc_REFI_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013MedInc_REFI_LOAN_DEND_1K_2013 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013- - - - - -ALL_LOAN_APPS_2014 = All Loan Applications, 2014ALL_LOAN_ORIG_2014 = All Loan Originations, 2014ALL_LOAN_DENIALS_2014 = All Loan Denials, 2014HOME_PURCH_LOAN_APPS_2014 = Home Purchase Loan Applications, 2014HOME_PURCH_LOAN_ORIG_2014 = Home Purchase Loan Originations, 2014HOME_PURCH_LOAN_DENIALS_2014 = Home Purchase Loan Denials, 2014HOME_REFI_LOAN_APPS_2014 = Home Refinancing Loan Applications, 2014HOME_REFI_LOAN_ORIG_2014 = Home Refinancing Loan Originations, 2014HOME_REFI_LOAN_DENIALS_2014 = Home Refinancing Loan Denials, 2014Med_Amount_LOAN_APLD_1K_2014 = Median Amount of Loan Applied for, $1k, 2014Med_Amount_LOAN_ORIG_1K_2014 = Median Amount of Loan Originated, $1k, 2014Med_Amount_LOAN_DEND_1K_2014 = Median Amount of Loan Denied, $1k, 2014MedAmt_HomePurLoan_APLD_1K_2014 = Median Amount of Home Purchase Loan Applied for, $1k, 2014MedAmt_HomePurLoan_ORIG_1K_2014 = Median Amount of Home Purchase Loan Originated, $1k, 2014MedAmt_HomePurLoan_DEND_1K_2014 = Median Amount of Home Purchase Loan Denied, $1k, 2014MedAmt_HomeRefLoan_APLD_1K_2014 = Median Amount of Home Refinancing Loan Applied for, $1k, 2014MedAmt_HomeRefLoan_ORIG_1K_2014 = Median Amount of Home Refinancing Loan Originated, $1k, 2014MedAmt_HomeRefLoan_DEND_1K_2014 = Median Amount of Home Refinancing Loan Denied, $1k, 2014Med_Income_LOAN_APLD_1K_2014 = Median Applicant Income for Loan Applied for, $1k, 2014Med_Income_LOAN_ORIG_1K_2014 = Median Applicant Income for Loan Originated, $1k, 2014Med_Income_LOAN_DEND_1K_2014 = Median Applicant Income for Loan Denied, $1k, 2014MedInc_PURCH_LOAN_APLD_1K_2014 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014MedInc_PURCH_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2014MedInc_PURCH_LOAN_DEND_1K_2014 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2014MedInc_REFI_LOAN_APLD_1K_2014 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014MedInc_REFI_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014MedInc_REFI_LOAN_DEND_1K_2014 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014LOANS_ORIG_PER_SQ_MI_2014 = Loans Originated per Square Mile, 2014HOME_PURCH_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Purchase per Square Mile, 2014HOME_REFI_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Refinancing per Square Mile, 2014PCT_LOAN_APPS_ORIG_2014 = % of Loan Applications Originated, 2014PCT_HOME_PURCH_LN_APPS_ORG_2014 = % of Home Purchase Loan Applications Originated, 2014PCT_HOME_REFI_LN_APPS_ORG_2014 = % of Home Refinancing Loan Applications Originated, 2014Chg_Loans_Orig_2012_14 = Change in Loan Originations, 2012-2014Chg_Purch_Loans_Orig_2012_14 = Change in Loan Originations for Home Purchase, 2012-2014Chg_Refi_Loans_Orig_2012_14 = Change in Loan Originations for Home Refinancing, 2012-2014Chg_Loans_Orig_SqMi_2012_14 = Change in Loans Originated per Square Mile, 2012-2014Chg_PurLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2014Chg_RefLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2014ChgPct_Loan_Apps_Orig_2012_14 = Change in % of Loan Applications Originated, 2012-2014ChgPct_PurLoan_AppsOrig_2012_14 = Change in % of Home Purchase Loan Applications Originated, 2012-2014ChgPct_RefLoan_AppsOrig_2012_14 = Change in % of Home Refinancing Loan Applications Originated, 2012-2014- - - - - -ALL_LOAN_APPS_2015 = All Loan Applications, 2015ALL_LOAN_ORIG_2015 = All Loan Originations, 2015ALL_LOAN_DENIALS_2015 = All Loan Denials, 2015HOME_PURCH_LOAN_APPS_2015 = Home Purchase Loan Applications, 2015HOME_PURCH_LOAN_ORIG_2015 = Home Purchase Loan Originations, 2015HOME_PURCH_LOAN_DENIALS_2015 = Home Purchase Loan Denials, 2015HOME_REFI_LOAN_APPS_2015 = Home Refinancing Loan Applications, 2015HOME_REFI_LOAN_ORIG_2015 = Home Refinancing Loan Originations, 2015HOME_REFI_LOAN_DENIALS_2015 = Home Refinancing Loan Denials, 2015Med_Amount_LOAN_APLD_1K_2015 = Median Amount of Loan Applied for, $1k, 2015Med_Amount_LOAN_ORIG_1K_2015 = Median Amount of Loan Originated, $1k, 2015Med_Amount_LOAN_DEND_1K_2015 = Median Amount of Loan Denied, $1k, 2015MedAmt_HomePurLoan_APLD_1K_2015 = Median Amount of Home Purchase Loan Applied for, $1k, 2015MedAmt_HomePurLoan_ORIG_1K_2015 = Median Amount of Home Purchase Loan Originated, $1k, 2015MedAmt_HomePurLoan_DEND_1K_2015 = Median Amount of Home Purchase Loan Denied, $1k, 2015MedAmt_HomeRefLoan_APLD_1K_2015 = Median Amount of Home Refinancing Loan Applied for, $1k, 2015MedAmt_HomeRefLoan_ORIG_1K_2015 = Median Amount of Home Refinancing Loan Originated, $1k, 2015MedAmt_HomeRefLoan_DEND_1K_2015 = Median Amount of Home Refinancing Loan Denied, $1k, 2015Med_Income_LOAN_APLD_1K_2015 = Median Applicant Income for Loan Applied for, $1k, 2015Med_Income_LOAN_ORIG_1K_2015 = Median Applicant Income for Loan Originated, $1k, 2015Med_Income_LOAN_DEND_1K_2015 = Median Applicant Income for Loan Denied, $1k, 2015MedInc_PURCH_LOAN_APLD_1K_2015 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015MedInc_PURCH_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2015MedInc_PURCH_LOAN_DEND_1K_2015 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2015MedInc_REFI_LOAN_APLD_1K_2015 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015MedInc_REFI_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015MedInc_REFI_LOAN_DEND_1K_2015 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015LOANS_ORIG_PER_SQ_MI_2015 = Loans Originated per Square Mile, 2015HOME_PURCH_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Purchase per Square Mile, 2015HOME_REFI_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Refinancing per Square Mile, 2015PCT_LOAN_APPS_ORIG_2015 = % of Loan Applications Originated, 2015PCT_HOME_PURCH_LN_APPS_ORG_2015 = % of Home Purchase Loan Applications Originated, 2015PCT_HOME_REFI_LN_APPS_ORG_2015 = % of Home Refinancing Loan Applications Originated, 2015Chg_Loans_Orig_2012_15 = Change in Loan Originations, 2012-2015Chg_Purch_Loans_Orig_2012_15 = Change in Loan Originations for Home Purchase, 2012-2015Chg_Refi_Loans_Orig_2012_15 = Change in Loan Originations for Home Refinancing, 2012-2015Chg_Loans_Orig_SqMi_2012_15 = Change in Loans Originated per Square Mile, 2012-2015Chg_PurLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2015Chg_RefLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2015ChgPct_Loan_Apps_Orig_2012_15 = Change in % of Loan Applications Originated, 2012-2015ChgPct_PurLoan_AppsOrig_2012_15 = Change in % of Home Purchase Loan Applications Originated, 2012-2015ChgPct_RefLoan_AppsOrig_2012_15 = Change in % of Home Refinancing Loan Applications Originated, 2012-2015Chg_Loans_Orig_2014_15 = Change in Loan Originations, 2014-2015Chg_Purch_Loans_Orig_2014_15 = Change in Loan Originations for Home Purchase, 2014-2015Chg_Refi_Loans_Orig_2014_15 = Change in Loan Originations for Home Refinancing, 2014-2015Chg_Loans_Orig_SqMi_2014_15 = Change in Loans Originated per Square Mile, 2014-2015Chg_PurLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Purchase per Square Mile, 2014-2015Chg_RefLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2014-2015ChgPct_Loan_Apps_Orig_2014_15 = Change in % of Loan Applications Originated, 2014-2015ChgPct_PurLoan_AppsOrig_2014_15 = Change in % of Home Purchase Loan Applications Originated, 2014-2015ChgPct_RefLoan_AppsOrig_2014_15 = Change in % of Home Refinancing Loan Applications Originated, 2014-2015- - - - - -ALL_LOAN_APPS_2016 = All Loan Applications, 2016ALL_LOAN_ORIG_2016 = All Loan Originations, 2016ALL_LOAN_DENIALS_2016 = All Loan Denials, 2016HOME_PURCH_LOAN_APPS_2016 = Home Purchase Loan Applications, 2016HOME_PURCH_LOAN_ORIG_2016 = Home Purchase Loan Originations, 2016HOME_PURCH_LOAN_DENIALS_2016 = Home Purchase Loan Denials, 2016HOME_REFI_LOAN_APPS_2016 = Home Refinancing Loan Applications, 2016HOME_REFI_LOAN_ORIG_2016 = Home Refinancing Loan Originations, 2016HOME_REFI_LOAN_DENIALS_2016 = Home Refinancing Loan Denials, 2016Med_Amount_LOAN_APLD_1K_2016 = Median Amount of Loan Applied for, $1k, 2016Med_Amount_LOAN_ORIG_1K_2016 = Median Amount of Loan Originated, $1k, 2016Med_Amount_LOAN_DEND_1K_2016 = Median Amount of Loan Denied, $1k, 2016MedAmt_HomePurLoan_APLD_1K_2016 = Median Amount of Home Purchase Loan Applied for, $1k, 2016MedAmt_HomePurLoan_ORIG_1K_2016 = Median Amount of Home Purchase Loan Originated, $1k, 2016MedAmt_HomePurLoan_DEND_1K_2016 = Median Amount of Home Purchase Loan Denied, $1k, 2016MedAmt_HomeRefLoan_APLD_1K_2016 = Median Amount of Home Refinancing Loan Applied for, $1k, 2016MedAmt_HomeRefLoan_ORIG_1K_2016 = Median Amount of Home Refinancing Loan Originated, $1k, 2016MedAmt_HomeRefLoan_DEND_1K_2016 = Median Amount of Home Refinancing Loan Denied, $1k, 2016Med_Income_LOAN_APLD_1K_2016 = Median Applicant Income for Loan Applied for, $1k, 2016Med_Income_LOAN_ORIG_1K_2016 = Median Applicant Income for Loan Originated, $1k, 2016Med_Income_LOAN_DEND_1K_2016 = Median Applicant Income for Loan Denied, $1k, 2016MedInc_PURCH_LOAN_APLD_1K_2016 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016MedInc_PURCH_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2016MedInc_PURCH_LOAN_DEND_1K_2016 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2016MedInc_REFI_LOAN_APLD_1K_2016 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016MedInc_REFI_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016MedInc_REFI_LOAN_DEND_1K_2016 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016LOANS_ORIG_PER_SQ_MI_2016 = Loans Originated per Square Mile, 2016HOME_PURCH_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Purchase per Square Mile, 2016HOME_REFI_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Refinancing per Square Mile, 2016PCT_LOAN_APPS_ORIG_2016 = % of Loan Applications Originated, 2016PCT_HOME_PURCH_LN_APPS_ORG_2016 = % of Home Purchase Loan Applications Originated, 2016PCT_HOME_REFI_LN_APPS_ORG_2016 = % of Home Refinancing Loan Applications Originated, 2016Chg_Loans_Orig_2012_16 = Change in Loan Originations, 2012-2016Chg_Purch_Loans_Orig_2012_16 = Change in Loan Originations for Home Purchase, 2012-2016Chg_Refi_Loans_Orig_2012_16 = Change in Loan Originations for Home Refinancing, 2012-2016Chg_Loans_Orig_SqMi_2012_16 = Change in Loans Originated per Square Mile, 2012-2016Chg_PurLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2016Chg_RefLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2016ChgPct_Loan_Apps_Orig_2012_16 = Change in % of Loan Applications Originated, 2012-2016ChgPct_PurLoan_AppsOrig_2012_16 = Change in % of Home Purchase Loan Applications Originated, 2012-2016ChgPct_RefLoan_AppsOrig_2012_16 = Change in % of Home Refinancing Loan Applications Originated, 2012-2016Chg_Loans_Orig_2015_16 = Change in Loan Originations, 2015-2016Chg_Purch_Loans_Orig_2015_16 = Change in Loan Originations for Home Purchase, 2015-2016Chg_Refi_Loans_Orig_2015_16 = Change in Loan Originations for Home Refinancing, 2015-2016Chg_Loans_Orig_SqMi_2015_16 = Change in Loans Originated per Square Mile, 2015-2016Chg_PurLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Purchase per Square Mile, 2015-2016Chg_RefLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2015-2016ChgPct_Loan_Apps_Orig_2015_16 = Change in % of Loan Applications Originated, 2015-2016ChgPct_PurLoan_AppsOrig_2015_16 = Change in % of Home Purchase Loan Applications Originated, 2015-2016ChgPct_RefLoan_AppsOrig_2015_16 = Change in % of Home Refinancing Loan Applications Originated, 2015-2016- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Home Mortgage Disclosure Act (HMDA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
MedAmt_HomePurLoan_APLD_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Applied for, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_APLD_1K_2014
)
MedAmt_HomePurLoan_ORIG_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Originated, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_ORIG_1K_2014
)
MedAmt_HomePurLoan_DEND_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Denied, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_DEND_1K_2014
)
MedAmt_HomeRefLoan_APLD_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Applied for, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_APLD_1K_2014
)
MedAmt_HomeRefLoan_ORIG_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Originated, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_ORIG_1K_2014
)
MedAmt_HomeRefLoan_DEND_1K_2014
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Denied, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_DEND_1K_2014
)
Med_Income_LOAN_APLD_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Applied for, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_APLD_1K_2014
)
Med_Income_LOAN_ORIG_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Originated, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_ORIG_1K_2014
)
Med_Income_LOAN_DEND_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Denied, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_DEND_1K_2014
)
MedInc_PURCH_LOAN_APLD_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_APLD_1K_2014
)
MedInc_PURCH_LOAN_ORIG_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Originated, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_ORIG_1K_2014
)
MedInc_PURCH_LOAN_DEND_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Denied, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_DEND_1K_2014
)
MedInc_REFI_LOAN_APLD_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_APLD_1K_2014
)
MedInc_REFI_LOAN_ORIG_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_ORIG_1K_2014
)
MedInc_REFI_LOAN_DEND_1K_2014
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_DEND_1K_2014
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, amounts, and applicant income, by year for 2012-2016, by census tract in the Atlanta Region.Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county name- - - - - -Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)- - - - - -Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -ALL_LOAN_APPS_2012 = All Loan Applications, 2012ALL_LOAN_ORIG_2012 = All Loan Originations, 2012ALL_LOAN_DENIALS_2012 = All Loan Denials, 2012HOME_PURCH_LOAN_APPS_2012 = Home Purchase Loan Applications, 2012HOME_PURCH_LOAN_ORIG_2012 = Home Purchase Loan Originations, 2012HOME_PURCH_LOAN_DENIALS_2012 = Home Purchase Loan Denials, 2012HOME_REFI_LOAN_APPS_2012 = Home Refinancing Loan Applications, 2012HOME_REFI_LOAN_ORIG_2012 = Home Refinancing Loan Originations, 2012HOME_REFI_LOAN_DENIALS_2012 = Home Refinancing Loan Denials, 2012Med_Amount_LOAN_APLD_1K_2012 = Median Amount of Loan Applied for, $1k, 2012Med_Amount_LOAN_ORIG_1K_2012 = Median Amount of Loan Originated, $1k, 2012Med_Amount_LOAN_DEND_1K_2012 = Median Amount of Loan Denied, $1k, 2012MedAmt_HomePurLoan_APLD_1K_2012 = Median Amount of Home Purchase Loan Applied for, $1k, 2012MedAmt_HomePurLoan_ORIG_1K_2012 = Median Amount of Home Purchase Loan Originated, $1k, 2012MedAmt_HomePurLoan_DEND_1K_2012 = Median Amount of Home Purchase Loan Denied, $1k, 2012MedAmt_HomeRefLoan_APLD_1K_2012 = Median Amount of Home Refinancing Loan Applied for, $1k, 2012MedAmt_HomeRefLoan_ORIG_1K_2012 = Median Amount of Home Refinancing Loan Originated, $1k, 2012MedAmt_HomeRefLoan_DEND_1K_2012 = Median Amount of Home Refinancing Loan Denied, $1k, 2012Med_Income_LOAN_APLD_1K_2012 = Median Applicant Income for Loan Applied for, $1k, 2012Med_Income_LOAN_ORIG_1K_2012 = Median Applicant Income for Loan Originated, $1k, 2012Med_Income_LOAN_DEND_1K_2012 = Median Applicant Income for Loan Denied, $1k, 2012MedInc_PURCH_LOAN_APLD_1K_2012 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012MedInc_PURCH_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2012MedInc_PURCH_LOAN_DEND_1K_2012 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2012MedInc_REFI_LOAN_APLD_1K_2012 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012MedInc_REFI_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012MedInc_REFI_LOAN_DEND_1K_2012 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012LOANS_ORIG_PER_SQ_MI_2012 = Loans Originated per Square Mile, 2012HOME_PURCH_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Purchase per Square Mile, 2012HOME_REFI_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Refinancing per Square Mile, 2012PCT_LOAN_APPS_ORIG_2012 = % of Loan Applications Originated, 2012PCT_HOME_PURCH_LN_APPS_ORG_2012 = % of Home Purchase Loan Applications Originated, 2012PCT_HOME_REFI_LN_APPS_ORG_2012 = % of Home Refinancing Loan Applications Originated, 2012- - - - - -ALL_LOAN_APPS_2013 = All Loan Applications, 2013ALL_LOAN_ORIG_2013 = All Loan Originations, 2013ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013Med_Amount_LOAN_APLD_1K_2013 = Median Amount of Loan Applied for, $1k, 2013Med_Amount_LOAN_ORIG_1K_2013 = Median Amount of Loan Originated, $1k, 2013Med_Amount_LOAN_DEND_1K_2013 = Median Amount of Loan Denied, $1k, 2013MedAmt_HomePurLoan_APLD_1K_2013 = Median Amount of Home Purchase Loan Applied for, $1k, 2013MedAmt_HomePurLoan_ORIG_1K_2013 = Median Amount of Home Purchase Loan Originated, $1k, 2013MedAmt_HomePurLoan_DEND_1K_2013 = Median Amount of Home Purchase Loan Denied, $1k, 2013MedAmt_HomeRefLoan_APLD_1K_2013 = Median Amount of Home Refinancing Loan Applied for, $1k, 2013MedAmt_HomeRefLoan_ORIG_1K_2013 = Median Amount of Home Refinancing Loan Originated, $1k, 2013MedAmt_HomeRefLoan_DEND_1K_2013 = Median Amount of Home Refinancing Loan Denied, $1k, 2013Med_Income_LOAN_APLD_1K_2013 = Median Applicant Income for Loan Applied for, $1k, 2013Med_Income_LOAN_ORIG_1K_2013 = Median Applicant Income for Loan Originated, $1k, 2013Med_Income_LOAN_DEND_1K_2013 = Median Applicant Income for Loan Denied, $1k, 2013MedInc_PURCH_LOAN_APLD_1K_2013 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013MedInc_PURCH_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2013MedInc_PURCH_LOAN_DEND_1K_2013 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2013MedInc_REFI_LOAN_APLD_1K_2013 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013MedInc_REFI_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013MedInc_REFI_LOAN_DEND_1K_2013 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013- - - - - -ALL_LOAN_APPS_2014 = All Loan Applications, 2014ALL_LOAN_ORIG_2014 = All Loan Originations, 2014ALL_LOAN_DENIALS_2014 = All Loan Denials, 2014HOME_PURCH_LOAN_APPS_2014 = Home Purchase Loan Applications, 2014HOME_PURCH_LOAN_ORIG_2014 = Home Purchase Loan Originations, 2014HOME_PURCH_LOAN_DENIALS_2014 = Home Purchase Loan Denials, 2014HOME_REFI_LOAN_APPS_2014 = Home Refinancing Loan Applications, 2014HOME_REFI_LOAN_ORIG_2014 = Home Refinancing Loan Originations, 2014HOME_REFI_LOAN_DENIALS_2014 = Home Refinancing Loan Denials, 2014Med_Amount_LOAN_APLD_1K_2014 = Median Amount of Loan Applied for, $1k, 2014Med_Amount_LOAN_ORIG_1K_2014 = Median Amount of Loan Originated, $1k, 2014Med_Amount_LOAN_DEND_1K_2014 = Median Amount of Loan Denied, $1k, 2014MedAmt_HomePurLoan_APLD_1K_2014 = Median Amount of Home Purchase Loan Applied for, $1k, 2014MedAmt_HomePurLoan_ORIG_1K_2014 = Median Amount of Home Purchase Loan Originated, $1k, 2014MedAmt_HomePurLoan_DEND_1K_2014 = Median Amount of Home Purchase Loan Denied, $1k, 2014MedAmt_HomeRefLoan_APLD_1K_2014 = Median Amount of Home Refinancing Loan Applied for, $1k, 2014MedAmt_HomeRefLoan_ORIG_1K_2014 = Median Amount of Home Refinancing Loan Originated, $1k, 2014MedAmt_HomeRefLoan_DEND_1K_2014 = Median Amount of Home Refinancing Loan Denied, $1k, 2014Med_Income_LOAN_APLD_1K_2014 = Median Applicant Income for Loan Applied for, $1k, 2014Med_Income_LOAN_ORIG_1K_2014 = Median Applicant Income for Loan Originated, $1k, 2014Med_Income_LOAN_DEND_1K_2014 = Median Applicant Income for Loan Denied, $1k, 2014MedInc_PURCH_LOAN_APLD_1K_2014 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014MedInc_PURCH_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2014MedInc_PURCH_LOAN_DEND_1K_2014 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2014MedInc_REFI_LOAN_APLD_1K_2014 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014MedInc_REFI_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014MedInc_REFI_LOAN_DEND_1K_2014 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014LOANS_ORIG_PER_SQ_MI_2014 = Loans Originated per Square Mile, 2014HOME_PURCH_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Purchase per Square Mile, 2014HOME_REFI_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Refinancing per Square Mile, 2014PCT_LOAN_APPS_ORIG_2014 = % of Loan Applications Originated, 2014PCT_HOME_PURCH_LN_APPS_ORG_2014 = % of Home Purchase Loan Applications Originated, 2014PCT_HOME_REFI_LN_APPS_ORG_2014 = % of Home Refinancing Loan Applications Originated, 2014Chg_Loans_Orig_2012_14 = Change in Loan Originations, 2012-2014Chg_Purch_Loans_Orig_2012_14 = Change in Loan Originations for Home Purchase, 2012-2014Chg_Refi_Loans_Orig_2012_14 = Change in Loan Originations for Home Refinancing, 2012-2014Chg_Loans_Orig_SqMi_2012_14 = Change in Loans Originated per Square Mile, 2012-2014Chg_PurLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2014Chg_RefLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2014ChgPct_Loan_Apps_Orig_2012_14 = Change in % of Loan Applications Originated, 2012-2014ChgPct_PurLoan_AppsOrig_2012_14 = Change in % of Home Purchase Loan Applications Originated, 2012-2014ChgPct_RefLoan_AppsOrig_2012_14 = Change in % of Home Refinancing Loan Applications Originated, 2012-2014- - - - - -ALL_LOAN_APPS_2015 = All Loan Applications, 2015ALL_LOAN_ORIG_2015 = All Loan Originations, 2015ALL_LOAN_DENIALS_2015 = All Loan Denials, 2015HOME_PURCH_LOAN_APPS_2015 = Home Purchase Loan Applications, 2015HOME_PURCH_LOAN_ORIG_2015 = Home Purchase Loan Originations, 2015HOME_PURCH_LOAN_DENIALS_2015 = Home Purchase Loan Denials, 2015HOME_REFI_LOAN_APPS_2015 = Home Refinancing Loan Applications, 2015HOME_REFI_LOAN_ORIG_2015 = Home Refinancing Loan Originations, 2015HOME_REFI_LOAN_DENIALS_2015 = Home Refinancing Loan Denials, 2015Med_Amount_LOAN_APLD_1K_2015 = Median Amount of Loan Applied for, $1k, 2015Med_Amount_LOAN_ORIG_1K_2015 = Median Amount of Loan Originated, $1k, 2015Med_Amount_LOAN_DEND_1K_2015 = Median Amount of Loan Denied, $1k, 2015MedAmt_HomePurLoan_APLD_1K_2015 = Median Amount of Home Purchase Loan Applied for, $1k, 2015MedAmt_HomePurLoan_ORIG_1K_2015 = Median Amount of Home Purchase Loan Originated, $1k, 2015MedAmt_HomePurLoan_DEND_1K_2015 = Median Amount of Home Purchase Loan Denied, $1k, 2015MedAmt_HomeRefLoan_APLD_1K_2015 = Median Amount of Home Refinancing Loan Applied for, $1k, 2015MedAmt_HomeRefLoan_ORIG_1K_2015 = Median Amount of Home Refinancing Loan Originated, $1k, 2015MedAmt_HomeRefLoan_DEND_1K_2015 = Median Amount of Home Refinancing Loan Denied, $1k, 2015Med_Income_LOAN_APLD_1K_2015 = Median Applicant Income for Loan Applied for, $1k, 2015Med_Income_LOAN_ORIG_1K_2015 = Median Applicant Income for Loan Originated, $1k, 2015Med_Income_LOAN_DEND_1K_2015 = Median Applicant Income for Loan Denied, $1k, 2015MedInc_PURCH_LOAN_APLD_1K_2015 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015MedInc_PURCH_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2015MedInc_PURCH_LOAN_DEND_1K_2015 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2015MedInc_REFI_LOAN_APLD_1K_2015 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015MedInc_REFI_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015MedInc_REFI_LOAN_DEND_1K_2015 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015LOANS_ORIG_PER_SQ_MI_2015 = Loans Originated per Square Mile, 2015HOME_PURCH_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Purchase per Square Mile, 2015HOME_REFI_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Refinancing per Square Mile, 2015PCT_LOAN_APPS_ORIG_2015 = % of Loan Applications Originated, 2015PCT_HOME_PURCH_LN_APPS_ORG_2015 = % of Home Purchase Loan Applications Originated, 2015PCT_HOME_REFI_LN_APPS_ORG_2015 = % of Home Refinancing Loan Applications Originated, 2015Chg_Loans_Orig_2012_15 = Change in Loan Originations, 2012-2015Chg_Purch_Loans_Orig_2012_15 = Change in Loan Originations for Home Purchase, 2012-2015Chg_Refi_Loans_Orig_2012_15 = Change in Loan Originations for Home Refinancing, 2012-2015Chg_Loans_Orig_SqMi_2012_15 = Change in Loans Originated per Square Mile, 2012-2015Chg_PurLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2015Chg_RefLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2015ChgPct_Loan_Apps_Orig_2012_15 = Change in % of Loan Applications Originated, 2012-2015ChgPct_PurLoan_AppsOrig_2012_15 = Change in % of Home Purchase Loan Applications Originated, 2012-2015ChgPct_RefLoan_AppsOrig_2012_15 = Change in % of Home Refinancing Loan Applications Originated, 2012-2015Chg_Loans_Orig_2014_15 = Change in Loan Originations, 2014-2015Chg_Purch_Loans_Orig_2014_15 = Change in Loan Originations for Home Purchase, 2014-2015Chg_Refi_Loans_Orig_2014_15 = Change in Loan Originations for Home Refinancing, 2014-2015Chg_Loans_Orig_SqMi_2014_15 = Change in Loans Originated per Square Mile, 2014-2015Chg_PurLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Purchase per Square Mile, 2014-2015Chg_RefLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2014-2015ChgPct_Loan_Apps_Orig_2014_15 = Change in % of Loan Applications Originated, 2014-2015ChgPct_PurLoan_AppsOrig_2014_15 = Change in % of Home Purchase Loan Applications Originated, 2014-2015ChgPct_RefLoan_AppsOrig_2014_15 = Change in % of Home Refinancing Loan Applications Originated, 2014-2015- - - - - -ALL_LOAN_APPS_2016 = All Loan Applications, 2016ALL_LOAN_ORIG_2016 = All Loan Originations, 2016ALL_LOAN_DENIALS_2016 = All Loan Denials, 2016HOME_PURCH_LOAN_APPS_2016 = Home Purchase Loan Applications, 2016HOME_PURCH_LOAN_ORIG_2016 = Home Purchase Loan Originations, 2016HOME_PURCH_LOAN_DENIALS_2016 = Home Purchase Loan Denials, 2016HOME_REFI_LOAN_APPS_2016 = Home Refinancing Loan Applications, 2016HOME_REFI_LOAN_ORIG_2016 = Home Refinancing Loan Originations, 2016HOME_REFI_LOAN_DENIALS_2016 = Home Refinancing Loan Denials, 2016Med_Amount_LOAN_APLD_1K_2016 = Median Amount of Loan Applied for, $1k, 2016Med_Amount_LOAN_ORIG_1K_2016 = Median Amount of Loan Originated, $1k, 2016Med_Amount_LOAN_DEND_1K_2016 = Median Amount of Loan Denied, $1k, 2016MedAmt_HomePurLoan_APLD_1K_2016 = Median Amount of Home Purchase Loan Applied for, $1k, 2016MedAmt_HomePurLoan_ORIG_1K_2016 = Median Amount of Home Purchase Loan Originated, $1k, 2016MedAmt_HomePurLoan_DEND_1K_2016 = Median Amount of Home Purchase Loan Denied, $1k, 2016MedAmt_HomeRefLoan_APLD_1K_2016 = Median Amount of Home Refinancing Loan Applied for, $1k, 2016MedAmt_HomeRefLoan_ORIG_1K_2016 = Median Amount of Home Refinancing Loan Originated, $1k, 2016MedAmt_HomeRefLoan_DEND_1K_2016 = Median Amount of Home Refinancing Loan Denied, $1k, 2016Med_Income_LOAN_APLD_1K_2016 = Median Applicant Income for Loan Applied for, $1k, 2016Med_Income_LOAN_ORIG_1K_2016 = Median Applicant Income for Loan Originated, $1k, 2016Med_Income_LOAN_DEND_1K_2016 = Median Applicant Income for Loan Denied, $1k, 2016MedInc_PURCH_LOAN_APLD_1K_2016 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016MedInc_PURCH_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2016MedInc_PURCH_LOAN_DEND_1K_2016 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2016MedInc_REFI_LOAN_APLD_1K_2016 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016MedInc_REFI_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016MedInc_REFI_LOAN_DEND_1K_2016 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016LOANS_ORIG_PER_SQ_MI_2016 = Loans Originated per Square Mile, 2016HOME_PURCH_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Purchase per Square Mile, 2016HOME_REFI_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Refinancing per Square Mile, 2016PCT_LOAN_APPS_ORIG_2016 = % of Loan Applications Originated, 2016PCT_HOME_PURCH_LN_APPS_ORG_2016 = % of Home Purchase Loan Applications Originated, 2016PCT_HOME_REFI_LN_APPS_ORG_2016 = % of Home Refinancing Loan Applications Originated, 2016Chg_Loans_Orig_2012_16 = Change in Loan Originations, 2012-2016Chg_Purch_Loans_Orig_2012_16 = Change in Loan Originations for Home Purchase, 2012-2016Chg_Refi_Loans_Orig_2012_16 = Change in Loan Originations for Home Refinancing, 2012-2016Chg_Loans_Orig_SqMi_2012_16 = Change in Loans Originated per Square Mile, 2012-2016Chg_PurLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2016Chg_RefLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2016ChgPct_Loan_Apps_Orig_2012_16 = Change in % of Loan Applications Originated, 2012-2016ChgPct_PurLoan_AppsOrig_2012_16 = Change in % of Home Purchase Loan Applications Originated, 2012-2016ChgPct_RefLoan_AppsOrig_2012_16 = Change in % of Home Refinancing Loan Applications Originated, 2012-2016Chg_Loans_Orig_2015_16 = Change in Loan Originations, 2015-2016Chg_Purch_Loans_Orig_2015_16 = Change in Loan Originations for Home Purchase, 2015-2016Chg_Refi_Loans_Orig_2015_16 = Change in Loan Originations for Home Refinancing, 2015-2016Chg_Loans_Orig_SqMi_2015_16 = Change in Loans Originated per Square Mile, 2015-2016Chg_PurLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Purchase per Square Mile, 2015-2016Chg_RefLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2015-2016ChgPct_Loan_Apps_Orig_2015_16 = Change in % of Loan Applications Originated, 2015-2016ChgPct_PurLoan_AppsOrig_2015_16 = Change in % of Home Purchase Loan Applications Originated, 2015-2016ChgPct_RefLoan_AppsOrig_2015_16 = Change in % of Home Refinancing Loan Applications Originated, 2015-2016- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Home Mortgage Disclosure Act (HMDA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
MedAmt_HomePurLoan_APLD_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Applied for, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_APLD_1K_2015
)
MedAmt_HomePurLoan_ORIG_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Originated, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_ORIG_1K_2015
)
MedAmt_HomePurLoan_DEND_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Denied, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_DEND_1K_2015
)
MedAmt_HomeRefLoan_APLD_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Applied for, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_APLD_1K_2015
)
MedAmt_HomeRefLoan_ORIG_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Originated, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_ORIG_1K_2015
)
MedAmt_HomeRefLoan_DEND_1K_2015
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Denied, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_DEND_1K_2015
)
Med_Income_LOAN_APLD_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Applied for, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_APLD_1K_2015
)
Med_Income_LOAN_ORIG_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Originated, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_ORIG_1K_2015
)
Med_Income_LOAN_DEND_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Denied, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_DEND_1K_2015
)
MedInc_PURCH_LOAN_APLD_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_APLD_1K_2015
)
MedInc_PURCH_LOAN_ORIG_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Originated, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_ORIG_1K_2015
)
MedInc_PURCH_LOAN_DEND_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Denied, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_DEND_1K_2015
)
MedInc_REFI_LOAN_APLD_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_APLD_1K_2015
)
MedInc_REFI_LOAN_ORIG_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_ORIG_1K_2015
)
MedInc_REFI_LOAN_DEND_1K_2015
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_DEND_1K_2015
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using Home Mortgage Disclosure Act (HMDA) data to show mortgage loan applications, originations, denials, amounts, and applicant income, by year for 2012-2016, by census tract in the Atlanta Region.Attributes:GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)Area_Name = 2010 Census tract number and county name- - - - - -Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)- - - - - -Planning_Region = Planning region designation for ARC purposesAcresLand = Land area within the tract (in acres)AcresWater = Water area within the tract (in acres)AcresTotal = Total area within the tract (in acres)SqMi_Land = Land area within the tract (in square miles)SqMi_Water = Water area within the tract (in square miles)SqMi_Total = Total area within the tract (in square miles)TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.CountyName = County Name- - - - - -ALL_LOAN_APPS_2012 = All Loan Applications, 2012ALL_LOAN_ORIG_2012 = All Loan Originations, 2012ALL_LOAN_DENIALS_2012 = All Loan Denials, 2012HOME_PURCH_LOAN_APPS_2012 = Home Purchase Loan Applications, 2012HOME_PURCH_LOAN_ORIG_2012 = Home Purchase Loan Originations, 2012HOME_PURCH_LOAN_DENIALS_2012 = Home Purchase Loan Denials, 2012HOME_REFI_LOAN_APPS_2012 = Home Refinancing Loan Applications, 2012HOME_REFI_LOAN_ORIG_2012 = Home Refinancing Loan Originations, 2012HOME_REFI_LOAN_DENIALS_2012 = Home Refinancing Loan Denials, 2012Med_Amount_LOAN_APLD_1K_2012 = Median Amount of Loan Applied for, $1k, 2012Med_Amount_LOAN_ORIG_1K_2012 = Median Amount of Loan Originated, $1k, 2012Med_Amount_LOAN_DEND_1K_2012 = Median Amount of Loan Denied, $1k, 2012MedAmt_HomePurLoan_APLD_1K_2012 = Median Amount of Home Purchase Loan Applied for, $1k, 2012MedAmt_HomePurLoan_ORIG_1K_2012 = Median Amount of Home Purchase Loan Originated, $1k, 2012MedAmt_HomePurLoan_DEND_1K_2012 = Median Amount of Home Purchase Loan Denied, $1k, 2012MedAmt_HomeRefLoan_APLD_1K_2012 = Median Amount of Home Refinancing Loan Applied for, $1k, 2012MedAmt_HomeRefLoan_ORIG_1K_2012 = Median Amount of Home Refinancing Loan Originated, $1k, 2012MedAmt_HomeRefLoan_DEND_1K_2012 = Median Amount of Home Refinancing Loan Denied, $1k, 2012Med_Income_LOAN_APLD_1K_2012 = Median Applicant Income for Loan Applied for, $1k, 2012Med_Income_LOAN_ORIG_1K_2012 = Median Applicant Income for Loan Originated, $1k, 2012Med_Income_LOAN_DEND_1K_2012 = Median Applicant Income for Loan Denied, $1k, 2012MedInc_PURCH_LOAN_APLD_1K_2012 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2012MedInc_PURCH_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2012MedInc_PURCH_LOAN_DEND_1K_2012 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2012MedInc_REFI_LOAN_APLD_1K_2012 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2012MedInc_REFI_LOAN_ORIG_1K_2012 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2012MedInc_REFI_LOAN_DEND_1K_2012 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2012LOANS_ORIG_PER_SQ_MI_2012 = Loans Originated per Square Mile, 2012HOME_PURCH_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Purchase per Square Mile, 2012HOME_REFI_LOANS_ORIG_SQMI_2012 = Loans Originated for Home Refinancing per Square Mile, 2012PCT_LOAN_APPS_ORIG_2012 = % of Loan Applications Originated, 2012PCT_HOME_PURCH_LN_APPS_ORG_2012 = % of Home Purchase Loan Applications Originated, 2012PCT_HOME_REFI_LN_APPS_ORG_2012 = % of Home Refinancing Loan Applications Originated, 2012- - - - - -ALL_LOAN_APPS_2013 = All Loan Applications, 2013ALL_LOAN_ORIG_2013 = All Loan Originations, 2013ALL_LOAN_DENIALS_2013 = All Loan Denials, 2013HOME_PURCH_LOAN_APPS_2013 = Home Purchase Loan Applications, 2013HOME_PURCH_LOAN_ORIG_2013 = Home Purchase Loan Originations, 2013HOME_PURCH_LOAN_DENIALS_2013 = Home Purchase Loan Denials, 2013HOME_REFI_LOAN_APPS_2013 = Home Refinancing Loan Applications, 2013HOME_REFI_LOAN_ORIG_2013 = Home Refinancing Loan Originations, 2013HOME_REFI_LOAN_DENIALS_2013 = Home Refinancing Loan Denials, 2013Med_Amount_LOAN_APLD_1K_2013 = Median Amount of Loan Applied for, $1k, 2013Med_Amount_LOAN_ORIG_1K_2013 = Median Amount of Loan Originated, $1k, 2013Med_Amount_LOAN_DEND_1K_2013 = Median Amount of Loan Denied, $1k, 2013MedAmt_HomePurLoan_APLD_1K_2013 = Median Amount of Home Purchase Loan Applied for, $1k, 2013MedAmt_HomePurLoan_ORIG_1K_2013 = Median Amount of Home Purchase Loan Originated, $1k, 2013MedAmt_HomePurLoan_DEND_1K_2013 = Median Amount of Home Purchase Loan Denied, $1k, 2013MedAmt_HomeRefLoan_APLD_1K_2013 = Median Amount of Home Refinancing Loan Applied for, $1k, 2013MedAmt_HomeRefLoan_ORIG_1K_2013 = Median Amount of Home Refinancing Loan Originated, $1k, 2013MedAmt_HomeRefLoan_DEND_1K_2013 = Median Amount of Home Refinancing Loan Denied, $1k, 2013Med_Income_LOAN_APLD_1K_2013 = Median Applicant Income for Loan Applied for, $1k, 2013Med_Income_LOAN_ORIG_1K_2013 = Median Applicant Income for Loan Originated, $1k, 2013Med_Income_LOAN_DEND_1K_2013 = Median Applicant Income for Loan Denied, $1k, 2013MedInc_PURCH_LOAN_APLD_1K_2013 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2013MedInc_PURCH_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2013MedInc_PURCH_LOAN_DEND_1K_2013 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2013MedInc_REFI_LOAN_APLD_1K_2013 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2013MedInc_REFI_LOAN_ORIG_1K_2013 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2013MedInc_REFI_LOAN_DEND_1K_2013 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2013LOANS_ORIG_PER_SQ_MI_2013 = Loans Originated per Square Mile, 2013HOME_PURCH_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Purchase per Square Mile, 2013HOME_REFI_LOANS_ORIG_SQMI_2013 = Loans Originated for Home Refinancing per Square Mile, 2013PCT_LOAN_APPS_ORIG_2013 = % of Loan Applications Originated, 2013PCT_HOME_PURCH_LN_APPS_ORG_2013 = % of Home Purchase Loan Applications Originated, 2013PCT_HOME_REFI_LN_APPS_ORG_2013 = % of Home Refinancing Loan Applications Originated, 2013- - - - - -ALL_LOAN_APPS_2014 = All Loan Applications, 2014ALL_LOAN_ORIG_2014 = All Loan Originations, 2014ALL_LOAN_DENIALS_2014 = All Loan Denials, 2014HOME_PURCH_LOAN_APPS_2014 = Home Purchase Loan Applications, 2014HOME_PURCH_LOAN_ORIG_2014 = Home Purchase Loan Originations, 2014HOME_PURCH_LOAN_DENIALS_2014 = Home Purchase Loan Denials, 2014HOME_REFI_LOAN_APPS_2014 = Home Refinancing Loan Applications, 2014HOME_REFI_LOAN_ORIG_2014 = Home Refinancing Loan Originations, 2014HOME_REFI_LOAN_DENIALS_2014 = Home Refinancing Loan Denials, 2014Med_Amount_LOAN_APLD_1K_2014 = Median Amount of Loan Applied for, $1k, 2014Med_Amount_LOAN_ORIG_1K_2014 = Median Amount of Loan Originated, $1k, 2014Med_Amount_LOAN_DEND_1K_2014 = Median Amount of Loan Denied, $1k, 2014MedAmt_HomePurLoan_APLD_1K_2014 = Median Amount of Home Purchase Loan Applied for, $1k, 2014MedAmt_HomePurLoan_ORIG_1K_2014 = Median Amount of Home Purchase Loan Originated, $1k, 2014MedAmt_HomePurLoan_DEND_1K_2014 = Median Amount of Home Purchase Loan Denied, $1k, 2014MedAmt_HomeRefLoan_APLD_1K_2014 = Median Amount of Home Refinancing Loan Applied for, $1k, 2014MedAmt_HomeRefLoan_ORIG_1K_2014 = Median Amount of Home Refinancing Loan Originated, $1k, 2014MedAmt_HomeRefLoan_DEND_1K_2014 = Median Amount of Home Refinancing Loan Denied, $1k, 2014Med_Income_LOAN_APLD_1K_2014 = Median Applicant Income for Loan Applied for, $1k, 2014Med_Income_LOAN_ORIG_1K_2014 = Median Applicant Income for Loan Originated, $1k, 2014Med_Income_LOAN_DEND_1K_2014 = Median Applicant Income for Loan Denied, $1k, 2014MedInc_PURCH_LOAN_APLD_1K_2014 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2014MedInc_PURCH_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2014MedInc_PURCH_LOAN_DEND_1K_2014 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2014MedInc_REFI_LOAN_APLD_1K_2014 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2014MedInc_REFI_LOAN_ORIG_1K_2014 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2014MedInc_REFI_LOAN_DEND_1K_2014 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2014LOANS_ORIG_PER_SQ_MI_2014 = Loans Originated per Square Mile, 2014HOME_PURCH_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Purchase per Square Mile, 2014HOME_REFI_LOANS_ORIG_SQMI_2014 = Loans Originated for Home Refinancing per Square Mile, 2014PCT_LOAN_APPS_ORIG_2014 = % of Loan Applications Originated, 2014PCT_HOME_PURCH_LN_APPS_ORG_2014 = % of Home Purchase Loan Applications Originated, 2014PCT_HOME_REFI_LN_APPS_ORG_2014 = % of Home Refinancing Loan Applications Originated, 2014Chg_Loans_Orig_2012_14 = Change in Loan Originations, 2012-2014Chg_Purch_Loans_Orig_2012_14 = Change in Loan Originations for Home Purchase, 2012-2014Chg_Refi_Loans_Orig_2012_14 = Change in Loan Originations for Home Refinancing, 2012-2014Chg_Loans_Orig_SqMi_2012_14 = Change in Loans Originated per Square Mile, 2012-2014Chg_PurLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2014Chg_RefLoans_Orig_SqMi_2012_14 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2014ChgPct_Loan_Apps_Orig_2012_14 = Change in % of Loan Applications Originated, 2012-2014ChgPct_PurLoan_AppsOrig_2012_14 = Change in % of Home Purchase Loan Applications Originated, 2012-2014ChgPct_RefLoan_AppsOrig_2012_14 = Change in % of Home Refinancing Loan Applications Originated, 2012-2014- - - - - -ALL_LOAN_APPS_2015 = All Loan Applications, 2015ALL_LOAN_ORIG_2015 = All Loan Originations, 2015ALL_LOAN_DENIALS_2015 = All Loan Denials, 2015HOME_PURCH_LOAN_APPS_2015 = Home Purchase Loan Applications, 2015HOME_PURCH_LOAN_ORIG_2015 = Home Purchase Loan Originations, 2015HOME_PURCH_LOAN_DENIALS_2015 = Home Purchase Loan Denials, 2015HOME_REFI_LOAN_APPS_2015 = Home Refinancing Loan Applications, 2015HOME_REFI_LOAN_ORIG_2015 = Home Refinancing Loan Originations, 2015HOME_REFI_LOAN_DENIALS_2015 = Home Refinancing Loan Denials, 2015Med_Amount_LOAN_APLD_1K_2015 = Median Amount of Loan Applied for, $1k, 2015Med_Amount_LOAN_ORIG_1K_2015 = Median Amount of Loan Originated, $1k, 2015Med_Amount_LOAN_DEND_1K_2015 = Median Amount of Loan Denied, $1k, 2015MedAmt_HomePurLoan_APLD_1K_2015 = Median Amount of Home Purchase Loan Applied for, $1k, 2015MedAmt_HomePurLoan_ORIG_1K_2015 = Median Amount of Home Purchase Loan Originated, $1k, 2015MedAmt_HomePurLoan_DEND_1K_2015 = Median Amount of Home Purchase Loan Denied, $1k, 2015MedAmt_HomeRefLoan_APLD_1K_2015 = Median Amount of Home Refinancing Loan Applied for, $1k, 2015MedAmt_HomeRefLoan_ORIG_1K_2015 = Median Amount of Home Refinancing Loan Originated, $1k, 2015MedAmt_HomeRefLoan_DEND_1K_2015 = Median Amount of Home Refinancing Loan Denied, $1k, 2015Med_Income_LOAN_APLD_1K_2015 = Median Applicant Income for Loan Applied for, $1k, 2015Med_Income_LOAN_ORIG_1K_2015 = Median Applicant Income for Loan Originated, $1k, 2015Med_Income_LOAN_DEND_1K_2015 = Median Applicant Income for Loan Denied, $1k, 2015MedInc_PURCH_LOAN_APLD_1K_2015 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2015MedInc_PURCH_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2015MedInc_PURCH_LOAN_DEND_1K_2015 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2015MedInc_REFI_LOAN_APLD_1K_2015 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2015MedInc_REFI_LOAN_ORIG_1K_2015 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2015MedInc_REFI_LOAN_DEND_1K_2015 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2015LOANS_ORIG_PER_SQ_MI_2015 = Loans Originated per Square Mile, 2015HOME_PURCH_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Purchase per Square Mile, 2015HOME_REFI_LOANS_ORIG_SQMI_2015 = Loans Originated for Home Refinancing per Square Mile, 2015PCT_LOAN_APPS_ORIG_2015 = % of Loan Applications Originated, 2015PCT_HOME_PURCH_LN_APPS_ORG_2015 = % of Home Purchase Loan Applications Originated, 2015PCT_HOME_REFI_LN_APPS_ORG_2015 = % of Home Refinancing Loan Applications Originated, 2015Chg_Loans_Orig_2012_15 = Change in Loan Originations, 2012-2015Chg_Purch_Loans_Orig_2012_15 = Change in Loan Originations for Home Purchase, 2012-2015Chg_Refi_Loans_Orig_2012_15 = Change in Loan Originations for Home Refinancing, 2012-2015Chg_Loans_Orig_SqMi_2012_15 = Change in Loans Originated per Square Mile, 2012-2015Chg_PurLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2015Chg_RefLoans_Orig_SqMi_2012_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2015ChgPct_Loan_Apps_Orig_2012_15 = Change in % of Loan Applications Originated, 2012-2015ChgPct_PurLoan_AppsOrig_2012_15 = Change in % of Home Purchase Loan Applications Originated, 2012-2015ChgPct_RefLoan_AppsOrig_2012_15 = Change in % of Home Refinancing Loan Applications Originated, 2012-2015Chg_Loans_Orig_2014_15 = Change in Loan Originations, 2014-2015Chg_Purch_Loans_Orig_2014_15 = Change in Loan Originations for Home Purchase, 2014-2015Chg_Refi_Loans_Orig_2014_15 = Change in Loan Originations for Home Refinancing, 2014-2015Chg_Loans_Orig_SqMi_2014_15 = Change in Loans Originated per Square Mile, 2014-2015Chg_PurLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Purchase per Square Mile, 2014-2015Chg_RefLoans_Orig_SqMi_2014_15 = Change in Loans Originated for Home Refinancing per Square Mile, 2014-2015ChgPct_Loan_Apps_Orig_2014_15 = Change in % of Loan Applications Originated, 2014-2015ChgPct_PurLoan_AppsOrig_2014_15 = Change in % of Home Purchase Loan Applications Originated, 2014-2015ChgPct_RefLoan_AppsOrig_2014_15 = Change in % of Home Refinancing Loan Applications Originated, 2014-2015- - - - - -ALL_LOAN_APPS_2016 = All Loan Applications, 2016ALL_LOAN_ORIG_2016 = All Loan Originations, 2016ALL_LOAN_DENIALS_2016 = All Loan Denials, 2016HOME_PURCH_LOAN_APPS_2016 = Home Purchase Loan Applications, 2016HOME_PURCH_LOAN_ORIG_2016 = Home Purchase Loan Originations, 2016HOME_PURCH_LOAN_DENIALS_2016 = Home Purchase Loan Denials, 2016HOME_REFI_LOAN_APPS_2016 = Home Refinancing Loan Applications, 2016HOME_REFI_LOAN_ORIG_2016 = Home Refinancing Loan Originations, 2016HOME_REFI_LOAN_DENIALS_2016 = Home Refinancing Loan Denials, 2016Med_Amount_LOAN_APLD_1K_2016 = Median Amount of Loan Applied for, $1k, 2016Med_Amount_LOAN_ORIG_1K_2016 = Median Amount of Loan Originated, $1k, 2016Med_Amount_LOAN_DEND_1K_2016 = Median Amount of Loan Denied, $1k, 2016MedAmt_HomePurLoan_APLD_1K_2016 = Median Amount of Home Purchase Loan Applied for, $1k, 2016MedAmt_HomePurLoan_ORIG_1K_2016 = Median Amount of Home Purchase Loan Originated, $1k, 2016MedAmt_HomePurLoan_DEND_1K_2016 = Median Amount of Home Purchase Loan Denied, $1k, 2016MedAmt_HomeRefLoan_APLD_1K_2016 = Median Amount of Home Refinancing Loan Applied for, $1k, 2016MedAmt_HomeRefLoan_ORIG_1K_2016 = Median Amount of Home Refinancing Loan Originated, $1k, 2016MedAmt_HomeRefLoan_DEND_1K_2016 = Median Amount of Home Refinancing Loan Denied, $1k, 2016Med_Income_LOAN_APLD_1K_2016 = Median Applicant Income for Loan Applied for, $1k, 2016Med_Income_LOAN_ORIG_1K_2016 = Median Applicant Income for Loan Originated, $1k, 2016Med_Income_LOAN_DEND_1K_2016 = Median Applicant Income for Loan Denied, $1k, 2016MedInc_PURCH_LOAN_APLD_1K_2016 = Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016MedInc_PURCH_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Purchase Loan Originated, $1k, 2016MedInc_PURCH_LOAN_DEND_1K_2016 = Median Applicant Income for Home Purchase Loan Denied, $1k, 2016MedInc_REFI_LOAN_APLD_1K_2016 = Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016MedInc_REFI_LOAN_ORIG_1K_2016 = Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016MedInc_REFI_LOAN_DEND_1K_2016 = Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016LOANS_ORIG_PER_SQ_MI_2016 = Loans Originated per Square Mile, 2016HOME_PURCH_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Purchase per Square Mile, 2016HOME_REFI_LOANS_ORIG_SQMI_2016 = Loans Originated for Home Refinancing per Square Mile, 2016PCT_LOAN_APPS_ORIG_2016 = % of Loan Applications Originated, 2016PCT_HOME_PURCH_LN_APPS_ORG_2016 = % of Home Purchase Loan Applications Originated, 2016PCT_HOME_REFI_LN_APPS_ORG_2016 = % of Home Refinancing Loan Applications Originated, 2016Chg_Loans_Orig_2012_16 = Change in Loan Originations, 2012-2016Chg_Purch_Loans_Orig_2012_16 = Change in Loan Originations for Home Purchase, 2012-2016Chg_Refi_Loans_Orig_2012_16 = Change in Loan Originations for Home Refinancing, 2012-2016Chg_Loans_Orig_SqMi_2012_16 = Change in Loans Originated per Square Mile, 2012-2016Chg_PurLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Purchase per Square Mile, 2012-2016Chg_RefLoans_Orig_SqMi_2012_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2012-2016ChgPct_Loan_Apps_Orig_2012_16 = Change in % of Loan Applications Originated, 2012-2016ChgPct_PurLoan_AppsOrig_2012_16 = Change in % of Home Purchase Loan Applications Originated, 2012-2016ChgPct_RefLoan_AppsOrig_2012_16 = Change in % of Home Refinancing Loan Applications Originated, 2012-2016Chg_Loans_Orig_2015_16 = Change in Loan Originations, 2015-2016Chg_Purch_Loans_Orig_2015_16 = Change in Loan Originations for Home Purchase, 2015-2016Chg_Refi_Loans_Orig_2015_16 = Change in Loan Originations for Home Refinancing, 2015-2016Chg_Loans_Orig_SqMi_2015_16 = Change in Loans Originated per Square Mile, 2015-2016Chg_PurLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Purchase per Square Mile, 2015-2016Chg_RefLoans_Orig_SqMi_2015_16 = Change in Loans Originated for Home Refinancing per Square Mile, 2015-2016ChgPct_Loan_Apps_Orig_2015_16 = Change in % of Loan Applications Originated, 2015-2016ChgPct_PurLoan_AppsOrig_2015_16 = Change in % of Home Purchase Loan Applications Originated, 2015-2016ChgPct_RefLoan_AppsOrig_2015_16 = Change in % of Home Refinancing Loan Applications Originated, 2015-2016- - - - - -last_edited_date = Last date the feature was edited by ARCSource: Home Mortgage Disclosure Act (HMDA), Atlanta Regional CommissionDate: 2012-2016For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Home Mortgage Disclosure Act (HMDA), Atlanta Regional Commission
MedAmt_HomePurLoan_APLD_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Applied for, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_APLD_1K_2016
)
MedAmt_HomePurLoan_ORIG_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Originated, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_ORIG_1K_2016
)
MedAmt_HomePurLoan_DEND_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Purchase Loan Denied, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomePurLoan_DEND_1K_2016
)
MedAmt_HomeRefLoan_APLD_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Applied for, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_APLD_1K_2016
)
MedAmt_HomeRefLoan_ORIG_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Originated, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_ORIG_1K_2016
)
MedAmt_HomeRefLoan_DEND_1K_2016
(
type: esriFieldTypeDouble, alias: Median Amount of Home Refinancing Loan Denied, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedAmt_HomeRefLoan_DEND_1K_2016
)
Med_Income_LOAN_APLD_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Applied for, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_APLD_1K_2016
)
Med_Income_LOAN_ORIG_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Originated, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_ORIG_1K_2016
)
Med_Income_LOAN_DEND_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Loan Denied, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: Med_Income_LOAN_DEND_1K_2016
)
MedInc_PURCH_LOAN_APLD_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Applied for, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_APLD_1K_2016
)
MedInc_PURCH_LOAN_ORIG_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Originated, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_ORIG_1K_2016
)
MedInc_PURCH_LOAN_DEND_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Purchase Loan Denied, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_PURCH_LOAN_DEND_1K_2016
)
MedInc_REFI_LOAN_APLD_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Applied for, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_APLD_1K_2016
)
MedInc_REFI_LOAN_ORIG_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Originated, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_ORIG_1K_2016
)
MedInc_REFI_LOAN_DEND_1K_2016
(
type: esriFieldTypeDouble, alias: Median Applicant Income for Home Refinancing Loan Denied, $1k, 2016, editable: true, nullable: true, defaultValue: null, modelName: MedInc_REFI_LOAN_DEND_1K_2016
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on population by age and race/ethnicity (U.S. Census, 2010), by zip code for the Atlanta region.- - - - - - Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010 = Total Population, 2010 CensusTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)- - - - - - Attributes from Census 2010:Age_under18_2010 = Age under 18, 2010Age_18_29_2010 = Age 18-29, 2010Age_30_44_2010 = Age 30-44, 2010Age_45_64_2010 = Age 45-64, 2010Age_65Plus_2010 = Age 65+, 2010Pct_under18_2010 = % age under 18, 2010Pct_18_29_2010 = % age 18-29, 2010Pct_30_44_2010 = % age 30-44, 2010Pct_45_64_2010 = % age 45-64, 2010Pct_65Plus_2010 = % age 65+, 2010- - - - - -White_Population_2010 = 2010 White PopulationBlack_Population_2010 = 2010 Black PopulationAsian_Population_2010 = 2010 Asian PopulationHispanic_Population_2010 = 2010 Hispanic PopulationOther_Population_2010 = 2010 Other PopulationNon_White_Population_2010 = 2010 Non-White PopulationPct_White_Population_2010 = % White Population, 2010Pct_Black_Population_2010 = % Black Population, 2010Pct_Asian_Population_2010 = % Asian Population, 2010Pct_Hispanic_Population_2010 = % Hispanic Population, 2010Pct_Other_Population_2010 = % Other Population, 2010Pct_Non_White_Population_2010 = % Non-White Population, 2010- - - - - - Sources/Dates:U.S. Census Bureau, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • U.S. Census Bureau
• Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on population by age and race/ethnicity (U.S. Census, 2010), by zip code for the Atlanta region.- - - - - - Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010 = Total Population, 2010 CensusTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)- - - - - - Attributes from Census 2010:Age_under18_2010 = Age under 18, 2010Age_18_29_2010 = Age 18-29, 2010Age_30_44_2010 = Age 30-44, 2010Age_45_64_2010 = Age 45-64, 2010Age_65Plus_2010 = Age 65+, 2010Pct_under18_2010 = % age under 18, 2010Pct_18_29_2010 = % age 18-29, 2010Pct_30_44_2010 = % age 30-44, 2010Pct_45_64_2010 = % age 45-64, 2010Pct_65Plus_2010 = % age 65+, 2010- - - - - -White_Population_2010 = 2010 White PopulationBlack_Population_2010 = 2010 Black PopulationAsian_Population_2010 = 2010 Asian PopulationHispanic_Population_2010 = 2010 Hispanic PopulationOther_Population_2010 = 2010 Other PopulationNon_White_Population_2010 = 2010 Non-White PopulationPct_White_Population_2010 = % White Population, 2010Pct_Black_Population_2010 = % Black Population, 2010Pct_Asian_Population_2010 = % Asian Population, 2010Pct_Hispanic_Population_2010 = % Hispanic Population, 2010Pct_Other_Population_2010 = % Other Population, 2010Pct_Non_White_Population_2010 = % Non-White Population, 2010- - - - - - Sources/Dates:U.S. Census Bureau, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • U.S. Census Bureau
• Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on business establishments (U.S. Census: County Business Patterns, 2005-2015), by zip code for the Atlanta region.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - - Attributes from U.S. Census: County Business Patterns:Number_of_establishments_2015= Number of establishments, 2015Establishments_perSqMi_2015= Establishments per Square Mile, 2015Establishments_per1000_Pop_2015= Establishments per 1,000 population, 2015 (Population is 2010)Paid_employees_March_2015= Paid employees for pay period including March 12 (number), 2015First_quarter_payroll_000s_2015= First-quarter payroll (000s), 2015Annual_payroll_000s_2015= Annual payroll (000s), 2015Number_of_establishments_2013= Number of establishments, 2013Establishments_perSqMi_2013= Establishments per Square Mile, 2013Establishments_per1000_Pop_2013= Establishments per 1,000 population, 2013 (Population is 2010)Annual_payroll_000s_2013= Annual payroll (000s), 2013First_quarter_payroll_000s_2013= First-quarter payroll (000s), 2013Paid_employees_March_2013= Paid employees for pay period including March 12 (number), 2013Number_of_establishments_2010= Number of establishments, 2010Paid_employees_March_2010= Paid employees for pay period including March 12 (number), 2010First_quarter_payroll_000s_2010= First-quarter payroll (000s), 2010Annual_payroll_000s_2010= Annual payroll (000s), 2010Number_of_establishments_2005= Number of establishments, 2005Paid_employees_March_2005= Paid employees for pay period including March 12 (number), 2005First_quarter_payroll_000s_2005= First-quarter payroll (000s), 2005Annual_payroll_000s_2005= Annual payroll (000s), 2005Chng_establishments_2005_2010= Change in the number of establishments between 2005-2010Chng_establishments_2005_2013= Change in the number of establishments between 2005-2013 Chng_establishments_2005_2015= Change in the number of establishments between 2005-2015Chng_estabmts_PerSqMi_2005_2010= Change in the number of establishments, Per Sq Mile, between 2005-2010Chng_estabmts_PerSqMi_2005_2013= Change in the number of establishments, Per Sq Mile, between 2005-2013 Chng_estabmts_PerSqMi_2005_2015= Change in the number of establishments, Per Sq Mile, between 2005-2015Chng_establishments_2010_2015= Change in the number of establishments between 2010-2015Chng_estabmts_PerSqMi_2010_2015= Change in the number of establishments, Per Sq Mile, between 2010-2015- - - - - - All_establishments_2015= All establishments, 2015Very_Small_Businesses_2015= Very Small businesses (1-4) employees, 2015Small_Businesses_2015= Small Businesses (5-19 employees), 2015Medium_Businesses_2015= Medium-sized businesses (20-99 employees), 2015Large_Businesses_2015= Large Businesses (100+ employees), 2015Pct_Very_Small_Businesses_2015= %, Very Small businesses (1-4) employees, 2015Pct_Small_Businesses_2015= %, Small Businesses (5-19 employees), 2015Pct_Medium_Businesses_2015= %, Medium-sized businesses (20-99 employees), 2015Pct_Large_Businesses_2015= %, Large Businesses (100+ employees), 2015All_establishments_2010= All establishments, 2010Very_Small_Businesses_2010= Very Small businesses (1-4) employees, 2010Small_Businesses_2010= Small Businesses (5-19 employees), 2010Medium_Businesses_2010= Medium-sized businesses (20-99 employees), 2010Large_Businesses_2010= Large Businesses (100+ employees), 2010Pct_Very_Small_Businesses_2010= % Very Small businesses (1-4) employees, 2010Pct_Small_Businesses_2010= % Small Businesses (5-19 employees), 2010Pct_Medium_Businesses_2010= % Medium-sized businesses (20-99 employees), 2010Pct_Large_Businesses_2010= % Large Businesses (100+ employees), 2010All_establishments_2005= All establishments, 2005Very_Small_Businesses_2005= Very Small businesses (1-4) employees, 2005Small_Businesses_2005= Small Businesses (5-19 employees), 2005Medium_Businesses_2005= Medium-sized businesses (20-99 employees), 2005Large_Businesses_2005= Large Businesses (100+ employees), 2005Pct_Very_Small_Businesses_2005= %, Very Small businesses (1-4) employees, 2005Pct_Small_Businesses_2005= %, Small Businesses (5-19 employees), 2005Pct_Medium_Businesses_2005= %, Medium-sized businesses (20-99 employees), 2005Pct_Large_Businesses_2005= %, Large Businesses (100+ employees), 2005- - - - - - Sources/Dates:U.S. Census: County Business Patterns, 2005-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • U.S. Census: County Business Patterns
• Atlanta Regional Commission
Chng_establishments_2005_2010
(
type: esriFieldTypeInteger, alias: Change in the number of establishments between 2005-2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_establishments_2005_2010
)
Chng_establishments_2005_2013
(
type: esriFieldTypeInteger, alias: Change in the number of establishments between 2005-2013 , editable: true, nullable: true, defaultValue: null, modelName: Chng_establishments_2005_2013
)
Chng_establishments_2005_2015
(
type: esriFieldTypeInteger, alias: Change in the number of establishments between 2005-2015, editable: true, nullable: true, defaultValue: null, modelName: Chng_establishments_2005_2015
)
Chng_estabmts_PerSqMi_2005_2010
(
type: esriFieldTypeDouble, alias: Change in the number of establishments, Per Sq Mile, between 2005-2010, editable: true, nullable: true, defaultValue: null, modelName: Chng_estabmts_PerSqMi_2005_2010
)
Chng_estabmts_PerSqMi_2005_2013
(
type: esriFieldTypeDouble, alias: Change in the number of establishments, Per Sq Mile, between 2005-2013 , editable: true, nullable: true, defaultValue: null, modelName: Chng_estabmts_PerSqMi_2005_2013
)
Chng_estabmts_PerSqMi_2005_2015
(
type: esriFieldTypeDouble, alias: Change in the number of establishments, Per Sq Mile, between 2005-2015, editable: true, nullable: true, defaultValue: null, modelName: Chng_estabmts_PerSqMi_2005_2015
)
Chng_establishments_2010_2015
(
type: esriFieldTypeInteger, alias: Change in the number of establishments between 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: Chng_establishments_2010_2015
)
Chng_estabmts_PerSqMi_2010_2015
(
type: esriFieldTypeDouble, alias: Change in the number of establishments, Per Sq Mile, between 2010-2015, editable: true, nullable: true, defaultValue: null, modelName: Chng_estabmts_PerSqMi_2010_2015
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on home sales/rentals and negative equity (Zillow, 2005-2016), by zip code for the Atlanta region.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - - Attributes from Zillow:Total_NegEquity_Millions_2015Q1= Total Amount of Negative Equity (Millions), 2015 Quarter 1Total_Homes_NegEquity_2015Q1= Total Number of Homes with Negative Equity, 2015 Quarter 1Pct_Homes_wMortg_NegEqty_2015Q1= Percent of Homes (w/Mortgage) with Negative Equity, 2015 Quarter 1Total_NegEquity_Millions_2015Q2= Total Amount of Negative Equity (Millions), 2015 Quarter 2Total_Homes_NegEquity_2015Q2= Total Number of Homes with Negative Equity, 2015 Quarter 2Pct_Homes_wMortg_NegEqty_2015Q2= Percent of Homes (w/Mortgage) with Negative Equity, 2015 Quarter 2Total_NegEquity_Millions_2016Q1= Total Amount of Negative Equity (Millions), 2016 Quarter 1Total_Homes_NegEquity_2016Q1= Total Number of Homes in Negative Equity, 2016 Quarter 1Pct_Homes_wMortg_NegEqty_2016Q1= Percent of Homes (w/Mortgage) with Negative Equity, 2016 Quarter 1Total_NegEquity_Millions_2016Q3= Total Amount of Negative Equity (Millions), 2016 Quarter 3Total_Homes_NegEquity_2016Q3= Total Number of Homes in Negative Equity, 2016 Quarter 3Pct_Homes_wMortg_NegEqty_2016Q3= Percent of Homes (w/Mortgage) with Negative Equity, 2016 Quarter 3- - - - - - MedHomeSalePrice_2yrAvg_2005_07= Median Home Sale Price (24 Month Average), May 2005 - April 2007MedHomeSalePrice_2yrAvg_2014_16= Median Home Sale Price (24 Month Average), May 2014 - April 2016Chg_MedPrice_2005_07_2014_16= Change in Median Home Sale Price, 2005-2007 & 2014-2016PctChg_MedPrice_2005_07_2014_16= % Change in Median Home Sale Price, 2005-2007 & 2014-2016- - - - - -AvgMoRent_2011_through_Nov = Annual Average of Median Monthly Rent, 2011 (through November)AvgMoRent_2016_through_Nov = Annual Average of Median Monthly Rent, 2016 (through November)Change_AvgMoRent_2011_2016 = Change in Annual Average of Median Monthly Rent, 2011-2016Pct_Change_AvgMoRent_2011_2016 = % Change in Annual Average of Median Monthly Rent, 2011-2016- - - - - - Sources/Dates:Zillow, 2005-2016For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: • Zillow
• Atlanta Regional Commission
Total_Homes_NegEquity_2015Q1
(
type: esriFieldTypeDouble, alias: Total Number of Homes with Negative Equity, 2015 Quarter 1, editable: true, nullable: true, defaultValue: null, modelName: Total_Homes_NegEquity_2015Q1
)
Pct_Homes_wMortg_NegEqty_2015Q1
(
type: esriFieldTypeDouble, alias: Percent of Homes (w/Mortgage) with Negative Equity, 2015 Quarter 1, editable: true, nullable: true, defaultValue: null, modelName: Pct_Homes_wMortg_NegEqty_2015Q1
)
Total_Homes_NegEquity_2015Q2
(
type: esriFieldTypeDouble, alias: Total Number of Homes with Negative Equity, 2015 Quarter 2, editable: true, nullable: true, defaultValue: null, modelName: Total_Homes_NegEquity_2015Q2
)
Pct_Homes_wMortg_NegEqty_2015Q2
(
type: esriFieldTypeDouble, alias: Percent of Homes (w/Mortgage) with Negative Equity, 2015 Quarter 2, editable: true, nullable: true, defaultValue: null, modelName: Pct_Homes_wMortg_NegEqty_2015Q2
)
Total_Homes_NegEquity_2016Q1
(
type: esriFieldTypeInteger, alias: Total Number of Homes in Negative Equity, 2016 Quarter 1, editable: true, nullable: true, defaultValue: null, modelName: Total_Homes_NegEquity_2016Q1
)
Pct_Homes_wMortg_NegEqty_2016Q1
(
type: esriFieldTypeDouble, alias: Percent of Homes (w/Mortgage) with Negative Equity, 2016 Quarter 1, editable: true, nullable: true, defaultValue: null, modelName: Pct_Homes_wMortg_NegEqty_2016Q1
)
Total_Homes_NegEquity_2016Q3
(
type: esriFieldTypeInteger, alias: Total Number of Homes in Negative Equity, 2016 Quarter 3, editable: true, nullable: true, defaultValue: null, modelName: Total_Homes_NegEquity_2016Q3
)
Pct_Homes_wMortg_NegEqty_2016Q3
(
type: esriFieldTypeDouble, alias: Percent of Homes (w/Mortgage) with Negative Equity, 2016 Quarter 3, editable: true, nullable: true, defaultValue: null, modelName: Pct_Homes_wMortg_NegEqty_2016Q3
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, to show data on tax filing status (Brookings Institution, 2013, 2014, 2015), by zip code for the Atlanta region.- - - - - - Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010 = Total Population, 2010 CensusTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from Brookings Institution:Total_returns_2013 = Total number of returns, 2013Total_returns_rec_EITC_2013 = Total number of returns receiving the Earned Income Tax Credit (EITC), 2013Pct_returns_receiving_EITC_2013 = % of returns receiving EITC, 2013Sum_of_EITC_received_2013 = Sum of EITC received, 2013Avg_EITCrec_per_EITC_Filer_2013 = Average EITC Received per EITC Filer, 2013Total_rec_Child_Tax_Credit_2013 = Total number of returns receiving the Child Tax Credit, 2013Pct_rec_Child_Tax_Credit_2013 = % of returns receiving Child Tax Credit, 2013Total_receiving_refund_2013 = Total number of returns receiving a refund, 2013Pct_receiving_refund_2013 = % of returns receiving refund, 2013Sum_of_refunds_received_2013 = Sum of refunds received, 2013AvgRefund_perFiler_wRefund_2013 = Average Refund per Filer Receiving Refund, 2013Total_requesting_RAC_2013 = Total number of returns requesting a Refund Anticipation Check (RAC), 2013PctReturns_wRefund_reqRAC_2013 = % Returns (receiving a refund) requesting Refund Anticipation Check, 2013Returns_AGI_less15K_2013 = Returns with Income (AGI) less than $15,000, 2013Returns_AGI_15K_to_30K_2013 = Returns with Income (AGI) from $15,000 to $29,999, 2013Returns_AGI_30K_to_50K_2013 = Returns with Income (AGI) from $30,000 to $49,999, 2013Returns_AGI_50K_to_75K_2013 = Returns with Income (AGI) from $50,000 to $74,999, 2013Returns_AGI_75K_to_100K_2013 = Returns with Income (AGI) from $75,000 to $99,999, 2013Returns_AGI_100Kplus_2013 = Returns with Income (AGI) greater than or equal to $100,000, 2013Pct_AGI_less_15K_2013 = % of returns with income (AGI) less than $15,000, of total, 2013Pct_AGI_15K_to_30K_2013 = % of returns with income (AGI) from $15,000 to $29,999, of total, 2013Pct_AGI_30K_to_50K_2013 = % of returns with income (AGI) from $30,000 to $49,999, of total, 2013Pct_AGI_50K_to_75K_2013 = % of returns with income (AGI) from $50,000 to $74,999, of total, 2013Pct_AGI_75K_to_100K_2013 = % of returns with income (AGI) from $75,000 to $99,999, of total, 2013Pct_AGI_greater_100K_2013 = % of returns with income (AGI) greater than or equal to $100,000, of total, 2013Chng_Total_Returns_2011_2013 = Change: Total Returns, 2011-2013Chng_Returns_EITC_2011_2013 = Change: Returns receiving the Earned Income Tax Credit (EITC), 2011-2013Chng_Pct_with_EITC_2011_2013 = Change: % of returns with EITC, 2011-2013Chng_Pct_AGI_less15K_2011_2013 = Change: % of returns with Income (AGI) less than $14,999, of total, 2011-2013Chng_Pct_AGI_15K_30K_2011_2013 = Change: % of returns with Income (AGI) from $15,000 to $29,999, of total, 2011-2013Chng_Pct_AGI_30K_50K_2011_2013 = Change: % of returns with Income (AGI) from $30,000 to $49,999, of total, 2011-2013Chng_Pct_AGI_50K_75K_2011_2013 = Change: % of returns with Income (AGI) from $50,000 to $74,999, of total, 2011-2013Chng_Pct_AGI_75K_100K_2011_2013 = Change: % of returns with Income (AGI) from $75,000 to $99,999, of total, 2011-2013Chng_Pct_AGI_100Kplus_2011_2013 = Change: % of returns with Income (AGI) greater than or equal to $100,000, of total, 2011-2013- - - - - - Tot_Returns_2015 = Total Returns, 2015Tot_Returns_with_EITC_2015 = Total returns with EITC, 2015Tot_Returns_wChildTaxCred_2015 = Total Returns with Child Tax Credit, 2015Num_Returns_wEducatorExp_2015 = Number of returns with educator expenses, 2015Num_Returns_wUnempComp_2015 = Number of returns with unemployment compensation, 2015Num_single_Returns_2015 = Number of single returns, 2015Num_joint_Returns_2015 = Number of joint returns, 2015Num_exemptions_2015 = Number of exemptions, 2015Num_dependents_2015 = Number of dependents, 2015Tot_Amount_EITC_2015 = Total Amount (000s) of EITC, 2015Pct_Returns_with_EITC_2015 = Percent returns with EITC, 2015Pct_Returns_wChildTaxCred_2015 = Percent Returns with Child Tax Credit, 2015Pct_Returns_wEducatorExp_2015 = Percent of returns with educator expenses, 2015Pct_Returns_wUnempComp_2015 = Percent of returns with unemployment compensation, 2015Pct_single_Returns_2015 = Percent of single returns, 2015Pct_joint_Returns_2015 = Percent of joint returns, 2015Tot_Returns_2014 = Total Returns, 2014Tot_Returns_with_EITC_2014 = Total returns with EITC, 2014Tot_Returns_wChildTaxCred_2014 = Total Returns with Child Tax Credit, 2014Num_Returns_wEducatorExp_2014 = Number of returns with educator expenses, 2014Num_Returns_wUnempComp_2014 = Number of returns with unemployment compensation, 2014Num_single_Returns_2014 = Number of single returns, 2014Num_joint_Returns_2014 = Number of joint returns, 2014Num_exemptions_2014 = Number of exemptions, 2014Num_dependents_2014 = Number of dependents, 2014Tot_Amount_EITC_2014 = Total Amount (000s) of EITC, 2014Pct_Returns_with_EITC_2014 = Percent returns with EITC, 2014Pct_Returns_wChildTaxCred_2014 = Percent Returns with Child Tax Credit, 2014Pct_Returns_wEducatorExp_2014 = Percent of returns with educator expenses, 2014Pct_Returns_wUnempComp_2014 = Percent of returns with unemployment compensation, 2014Pct_single_Returns_2014 = Percent of single returns, 2014Pct_joint_Returns_2014 = Percent of joint returns, 2014Chg_Total_Returns_2014_15 = Change: Total Returns, 2014-2015Chg_Total_Returns_wEITC_2014_15 = Change: Total Returns with EITC, 2014-2015ChgPct_Returns_wEITC_2014_15 = Change: % of returns with EITC, 2014-2015ChgPct_Returns_wCTC_2014_15 = Change: % of returns with Child Tax Credit, 2014-2015ChgPct_Returns_wUnemp_2014_15 = Change: % of returns with unemployment compensation, 2014-2015- - - - - - Sources/Dates:Brookings Institution, 2013, 2014, 2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: • Brookings Institution
• Atlanta Regional Commission
Returns_AGI_less15K_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) less than $15,000, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_less15K_2013
)
Returns_AGI_15K_to_30K_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) from $15,000 to $29,999, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_15K_to_30K_2013
)
Returns_AGI_30K_to_50K_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) from $30,000 to $49,999, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_30K_to_50K_2013
)
Returns_AGI_50K_to_75K_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) from $50,000 to $74,999, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_50K_to_75K_2013
)
Returns_AGI_75K_to_100K_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) from $75,000 to $99,999, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_75K_to_100K_2013
)
Returns_AGI_100Kplus_2013
(
type: esriFieldTypeInteger, alias: Returns with Income (AGI) greater than or equal to $100,000, 2013, editable: true, nullable: true, defaultValue: null, modelName: Returns_AGI_100Kplus_2013
)
Pct_AGI_less_15K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) less than $15,000, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_less_15K_2013
)
Pct_AGI_15K_to_30K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) from $15,000 to $29,999, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_15K_to_30K_2013
)
Pct_AGI_30K_to_50K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) from $30,000 to $49,999, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_30K_to_50K_2013
)
Pct_AGI_50K_to_75K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) from $50,000 to $74,999, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_50K_to_75K_2013
)
Pct_AGI_75K_to_100K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) from $75,000 to $99,999, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_75K_to_100K_2013
)
Pct_AGI_greater_100K_2013
(
type: esriFieldTypeDouble, alias: % of returns with income (AGI) greater than or equal to $100,000, of total, 2013, editable: true, nullable: true, defaultValue: null, modelName: Pct_AGI_greater_100K_2013
)
Chng_Pct_AGI_less15K_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) less than $14,999, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_less15K_2011_2013
)
Chng_Pct_AGI_15K_30K_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) from $15,000 to $29,999, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_15K_30K_2011_2013
)
Chng_Pct_AGI_30K_50K_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) from $30,000 to $49,999, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_30K_50K_2011_2013
)
Chng_Pct_AGI_50K_75K_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) from $50,000 to $74,999, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_50K_75K_2011_2013
)
Chng_Pct_AGI_75K_100K_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) from $75,000 to $99,999, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_75K_100K_2011_2013
)
Chng_Pct_AGI_100Kplus_2011_2013
(
type: esriFieldTypeDouble, alias: Change: % of returns with Income (AGI) greater than or equal to $100,000, of total, 2011-2013, editable: true, nullable: true, defaultValue: null, modelName: Chng_Pct_AGI_100Kplus_2011_2013
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau and American Community Survey (ACS) to show total population counts and estimates by year, for 2000, 2010, and 2011-2015, by city in the state of Georgia.- - - - - -Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county region- - - - - -Attributes from Census Bureau:Population_Change_2000_2010 = Population Change, 2000-2010 (Census)Population_2000 = Total Population, 2000 CensusPopulation_2010 = Total Population, 2010 CensusPopulation_Estimate_2011 = Population Estimate, 2011 (ACS)Population_Estimate_2012 = Population Estimate, 2012 (ACS)Population_Estimate_2013 = Population Estimate, 2013 (ACS)Population_Estimate_2014 = Population Estimate, 2014 (ACS)Population_Estimate_2015 = Population Estimate, 2015 (ACS)- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000; 2010-2015For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Revenue to show tax digest data for 2015 by city for the State of Georgia. For more information, contact Georgia Department of Revenueor Georgia Municipal Association.- - - - - -Base Attributes:Residential_Parcels = Residential ParcelsResidential_40pct_Assd_Value = Residential 40% Assessed ValueAgricultural_Parcels = Agricultural ParcelsAgricultural_40pct_Assd_Value = Agricultural 40% Assessed ValueCommercial_Parcels = Commercial ParcelsCommercial_40pct_Assd_Value = Commercial 40% Assessed ValueHistorical_Parcels = Historical ParcelsHistorical_40pct_Assd_Value = Historical 40% Assessed ValueIndustrial_Parcels = Industrial ParcelsIndustrial_40pct_Assd_Value = Industrial 40% Assessed ValueExempt_Parcels = Exempt ParcelsExempt_40pct_Assd_Value = Exempt 40% Assessed ValueMotor_Vehicle_Parcels = Motor Vehicle ParcelsMotor_Vehicle_40pct_Assd_Value = Motor Vehicle 40% Assessed ValueGross_Digest_Parcels = Gross Digest ParcelsGross_Digest_40pct_Assd_Value = Gross Digest 40% Assessed ValueNet_M_O_Digest = Net M&O Digest- - - - - -last_edited_date = Last date feature was edited by ARC- - - - - -Source: Georgia Department of RevenueDate: 2015For additional information, contact Georgia Department of Revenue or Georgia Municipal Association, or visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Georgia Department of Revenue, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Family_HH_wOwnChild_un18yr
(
type: esriFieldTypeInteger, alias: Family households with own children under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Family_HH_wOwnChild_un18yr
)
Pct_Family_HH_wOwnChild_un18yr
(
type: esriFieldTypeDouble, alias: % Family households with own children under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Pct_Family_HH_wOwnChild_un18yr
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state Senate district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Family_HH_wOwnChild_un18yr
(
type: esriFieldTypeDouble, alias: Family households with own children under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Family_HH_wOwnChild_un18yr
)
Pct_Family_HH_wOwnChild_un18yr
(
type: esriFieldTypeDouble, alias: % Family households with own children under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Pct_Family_HH_wOwnChild_un18yr
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state Senate district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state Senate district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state Senate district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state Senate district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state House district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
CHNG_JOBS_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_07
)
CHNG_JOBS_AGE_29_YNGR_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_07
)
CHNG_JOBS_AGE_30_54_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_07
)
CHNG_JOBS_AGE_55_OLDR_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_07
)
CHNG_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_07
)
CHNG_JOBS_1251_3333_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_07
)
CHNG_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_07
)
CHNG_PCT_JOBS_29_YNGR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_07
)
CHNG_PCT_JOBS_30_54_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_07
)
CHNG_PCT_JOBS_55_OLDR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_07
)
CHNG_PCT_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_07
)
CHNG_PCT_JOBS_1251_3333_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_07
)
CHNG_PCT_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_07
)
CHNG_JOBS_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2007_10
)
CHNG_JOBS_AGE_29_YNGR_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2007_10
)
CHNG_JOBS_AGE_30_54_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2007_10
)
CHNG_JOBS_AGE_55_OLDR_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2007_10
)
CHNG_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2007_10
)
CHNG_JOBS_1251_3333_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2007_10
)
CHNG_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2007_10
)
CHNG_PCT_JOBS_29_YNGR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2007_10
)
CHNG_PCT_JOBS_30_54_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2007_10
)
CHNG_PCT_JOBS_55_OLDR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2007_10
)
CHNG_PCT_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2007_10
)
CHNG_PCT_JOBS_1251_3333_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2007_10
)
CHNG_PCT_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2007_10
)
CHNG_JOBS_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2010_14
)
CHNG_JOBS_AGE_29_YNGR_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2010_14
)
CHNG_JOBS_AGE_30_54_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2010_14
)
CHNG_JOBS_AGE_55_OLDR_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2010_14
)
CHNG_JOBS_1250_LESS_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2010_14
)
CHNG_JOBS_1251_3333_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2010_14
)
CHNG_JOBS_3333_MORE_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2010_14
)
CHNG_PCT_JOBS_29_YNGR_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2010_14
)
CHNG_PCT_JOBS_30_54_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2010_14
)
CHNG_PCT_JOBS_55_OLDR_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2010_14
)
CHNG_PCT_JOBS_1250_LESS_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2010_14
)
CHNG_PCT_JOBS_1251_3333_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2010_14
)
CHNG_PCT_JOBS_3333_MORE_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2010_14
)
CHNG_JOBS_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_14
)
CHNG_JOBS_AGE_29_YNGR_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_14
)
CHNG_JOBS_AGE_30_54_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_14
)
CHNG_JOBS_AGE_55_OLDR_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_14
)
CHNG_JOBS_1250_LESS_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_14
)
CHNG_JOBS_1251_3333_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_14
)
CHNG_JOBS_3333_MORE_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_14
)
CHNG_PCT_JOBS_29_YNGR_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_14
)
CHNG_PCT_JOBS_30_54_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_14
)
CHNG_PCT_JOBS_55_OLDR_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_14
)
CHNG_PCT_JOBS_1250_LESS_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_14
)
CHNG_PCT_JOBS_1251_3333_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_14
)
CHNG_PCT_JOBS_3333_MORE_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_14
)
CHNG_JOBS_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2013_14
)
CHNG_JOBS_AGE_29_YNGR_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2013_14
)
CHNG_JOBS_AGE_30_54_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2013_14
)
CHNG_JOBS_AGE_55_OLDR_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2013_14
)
CHNG_JOBS_1250_LESS_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2013_14
)
CHNG_JOBS_1251_3333_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2013_14
)
CHNG_JOBS_3333_MORE_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2013_14
)
CHNG_PCT_JOBS_29_YNGR_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2013_14
)
CHNG_PCT_JOBS_30_54_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2013_14
)
CHNG_PCT_JOBS_55_OLDR_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2013_14
)
CHNG_PCT_JOBS_1250_LESS_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2013_14
)
CHNG_PCT_JOBS_1251_3333_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2013_14
)
CHNG_PCT_JOBS_3333_MORE_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2013_14
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state House district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state House district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state House district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state Senate district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
CHNG_JOBS_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_07
)
CHNG_JOBS_AGE_29_YNGR_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_07
)
CHNG_JOBS_AGE_30_54_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_07
)
CHNG_JOBS_AGE_55_OLDR_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_07
)
CHNG_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_07
)
CHNG_JOBS_1251_3333_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_07
)
CHNG_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_07
)
CHNG_PCT_JOBS_29_YNGR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_07
)
CHNG_PCT_JOBS_30_54_2002_07
(
type: esriFieldTypeInteger, alias: Change in % of jobs for workers age 30 to 54, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_07
)
CHNG_PCT_JOBS_55_OLDR_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_07
)
CHNG_PCT_JOBS_1250_LESS_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_07
)
CHNG_PCT_JOBS_1251_3333_2002_07
(
type: esriFieldTypeInteger, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_07
)
CHNG_PCT_JOBS_3333_MORE_2002_07
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2007, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_07
)
CHNG_JOBS_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2007_10
)
CHNG_JOBS_AGE_29_YNGR_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2007_10
)
CHNG_JOBS_AGE_30_54_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2007_10
)
CHNG_JOBS_AGE_55_OLDR_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2007_10
)
CHNG_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2007_10
)
CHNG_JOBS_1251_3333_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2007_10
)
CHNG_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2007_10
)
CHNG_PCT_JOBS_29_YNGR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2007_10
)
CHNG_PCT_JOBS_30_54_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2007_10
)
CHNG_PCT_JOBS_55_OLDR_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2007_10
)
CHNG_PCT_JOBS_1250_LESS_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2007_10
)
CHNG_PCT_JOBS_1251_3333_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2007_10
)
CHNG_PCT_JOBS_3333_MORE_2007_10
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2007-2010, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2007_10
)
CHNG_JOBS_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2010_14
)
CHNG_JOBS_AGE_29_YNGR_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2010_14
)
CHNG_JOBS_AGE_30_54_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2010_14
)
CHNG_JOBS_AGE_55_OLDR_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2010_14
)
CHNG_JOBS_1250_LESS_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2010_14
)
CHNG_JOBS_1251_3333_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2010_14
)
CHNG_JOBS_3333_MORE_2010_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2010_14
)
CHNG_PCT_JOBS_29_YNGR_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2010_14
)
CHNG_PCT_JOBS_30_54_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2010_14
)
CHNG_PCT_JOBS_55_OLDR_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2010_14
)
CHNG_PCT_JOBS_1250_LESS_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2010_14
)
CHNG_PCT_JOBS_1251_3333_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2010_14
)
CHNG_PCT_JOBS_3333_MORE_2010_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2010-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2010_14
)
CHNG_JOBS_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2002_14
)
CHNG_JOBS_AGE_29_YNGR_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2002_14
)
CHNG_JOBS_AGE_30_54_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2002_14
)
CHNG_JOBS_AGE_55_OLDR_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2002_14
)
CHNG_JOBS_1250_LESS_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2002_14
)
CHNG_JOBS_1251_3333_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2002_14
)
CHNG_JOBS_3333_MORE_2002_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2002_14
)
CHNG_PCT_JOBS_29_YNGR_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2002_14
)
CHNG_PCT_JOBS_30_54_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2002_14
)
CHNG_PCT_JOBS_55_OLDR_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2002_14
)
CHNG_PCT_JOBS_1250_LESS_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2002_14
)
CHNG_PCT_JOBS_1251_3333_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2002_14
)
CHNG_PCT_JOBS_3333_MORE_2002_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2002-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2002_14
)
CHNG_JOBS_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_2013_14
)
CHNG_JOBS_AGE_29_YNGR_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 29 or younger, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_29_YNGR_2013_14
)
CHNG_JOBS_AGE_30_54_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 30 to 54, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_30_54_2013_14
)
CHNG_JOBS_AGE_55_OLDR_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs for workers age 55 or older, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_AGE_55_OLDR_2013_14
)
CHNG_JOBS_1250_LESS_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1250/month or less, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1250_LESS_2013_14
)
CHNG_JOBS_1251_3333_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_1251_3333_2013_14
)
CHNG_JOBS_3333_MORE_2013_14
(
type: esriFieldTypeInteger, alias: Change in # of jobs with earnings greater than $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_JOBS_3333_MORE_2013_14
)
CHNG_PCT_JOBS_29_YNGR_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 29 or younger, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_29_YNGR_2013_14
)
CHNG_PCT_JOBS_30_54_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 30 to 54, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_30_54_2013_14
)
CHNG_PCT_JOBS_55_OLDR_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs for workers age 55 or older, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_55_OLDR_2013_14
)
CHNG_PCT_JOBS_1250_LESS_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1250/month or less, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1250_LESS_2013_14
)
CHNG_PCT_JOBS_1251_3333_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_1251_3333_2013_14
)
CHNG_PCT_JOBS_3333_MORE_2013_14
(
type: esriFieldTypeDouble, alias: Change in % of jobs with earnings greater than $3333/month, 2013-2014, editable: true, nullable: true, defaultValue: null, modelName: CHNG_PCT_JOBS_3333_MORE_2013_14
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state Senate district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state Senate district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD), to show job and worker characteristics, including total number of jobs, sector, worker age, and earnings, for year 2014, and change in those same measures from 2002-2014, by state Senate district for the state of Georgia.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Name = GA Senate District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from LEHD:CHNG_JOBS_2002_07 = Change in # of jobs, 2002-2007CHNG_JOBS_AGE_29_YNGR_2002_07 = Change in # of jobs for workers age 29 or younger, 2002-2007CHNG_JOBS_AGE_30_54_2002_07 = Change in # of jobs for workers age 30 to 54, 2002-2007CHNG_JOBS_AGE_55_OLDR_2002_07 = Change in # of jobs for workers age 55 or older, 2002-2007CHNG_JOBS_1250_LESS_2002_07 = Change in # of jobs with earnings $1250/month or less, 2002-2007CHNG_JOBS_1251_3333_2002_07 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_JOBS_3333_MORE_2002_07 = Change in # of jobs with earnings greater than $3333/month, 2002-2007CHNG_PCT_JOBS_29_YNGR_2002_07 = Change in % of jobs for workers age 29 or younger, 2002-2007CHNG_PCT_JOBS_30_54_2002_07 = Change in % of jobs for workers age 30 to 54, 2002-2007CHNG_PCT_JOBS_55_OLDR_2002_07 = Change in % of jobs for workers age 55 or older, 2002-2007CHNG_PCT_JOBS_1250_LESS_2002_07 = Change in % of jobs with earnings $1250/month or less, 2002-2007CHNG_PCT_JOBS_1251_3333_2002_07 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2007CHNG_PCT_JOBS_3333_MORE_2002_07 = Change in % of jobs with earnings greater than $3333/month, 2002-2007CHNG_JOBS_2007_10 = Change in # of jobs, 2007-2010CHNG_JOBS_AGE_29_YNGR_2007_10 = Change in # of jobs for workers age 29 or younger, 2007-2010CHNG_JOBS_AGE_30_54_2007_10 = Change in # of jobs for workers age 30 to 54, 2007-2010CHNG_JOBS_AGE_55_OLDR_2007_10 = Change in # of jobs for workers age 55 or older, 2007-2010CHNG_JOBS_1250_LESS_2007_10 = Change in # of jobs with earnings $1250/month or less, 2007-2010CHNG_JOBS_1251_3333_2007_10 = Change in # of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_JOBS_3333_MORE_2007_10 = Change in # of jobs with earnings greater than $3333/month, 2007-2010CHNG_PCT_JOBS_29_YNGR_2007_10 = Change in % of jobs for workers age 29 or younger, 2007-2010CHNG_PCT_JOBS_30_54_2007_10 = Change in % of jobs for workers age 30 to 54, 2007-2010CHNG_PCT_JOBS_55_OLDR_2007_10 = Change in % of jobs for workers age 55 or older, 2007-2010CHNG_PCT_JOBS_1250_LESS_2007_10 = Change in % of jobs with earnings $1250/month or less, 2007-2010CHNG_PCT_JOBS_1251_3333_2007_10 = Change in % of jobs with earnings $1251/month to $3333/month, 2007-2010CHNG_PCT_JOBS_3333_MORE_2007_10 = Change in % of jobs with earnings greater than $3333/month, 2007-2010CHNG_JOBS_2010_14 = Change in # of jobs, 2010-2014CHNG_JOBS_AGE_29_YNGR_2010_14 = Change in # of jobs for workers age 29 or younger, 2010-2014CHNG_JOBS_AGE_30_54_2010_14 = Change in # of jobs for workers age 30 to 54, 2010-2014CHNG_JOBS_AGE_55_OLDR_2010_14 = Change in # of jobs for workers age 55 or older, 2010-2014CHNG_JOBS_1250_LESS_2010_14 = Change in # of jobs with earnings $1250/month or less, 2010-2014CHNG_JOBS_1251_3333_2010_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_JOBS_3333_MORE_2010_14 = Change in # of jobs with earnings greater than $3333/month, 2010-2014CHNG_PCT_JOBS_29_YNGR_2010_14 = Change in % of jobs for workers age 29 or younger, 2010-2014CHNG_PCT_JOBS_30_54_2010_14 = Change in % of jobs for workers age 30 to 54, 2010-2014CHNG_PCT_JOBS_55_OLDR_2010_14 = Change in % of jobs for workers age 55 or older, 2010-2014CHNG_PCT_JOBS_1250_LESS_2010_14 = Change in % of jobs with earnings $1250/month or less, 2010-2014CHNG_PCT_JOBS_1251_3333_2010_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2010-2014CHNG_PCT_JOBS_3333_MORE_2010_14 = Change in % of jobs with earnings greater than $3333/month, 2010-2014CHNG_JOBS_2002_14 = Change in # of jobs, 2002-2014CHNG_JOBS_AGE_29_YNGR_2002_14 = Change in # of jobs for workers age 29 or younger, 2002-2014CHNG_JOBS_AGE_30_54_2002_14 = Change in # of jobs for workers age 30 to 54, 2002-2014CHNG_JOBS_AGE_55_OLDR_2002_14 = Change in # of jobs for workers age 55 or older, 2002-2014CHNG_JOBS_1250_LESS_2002_14 = Change in # of jobs with earnings $1250/month or less, 2002-2014CHNG_JOBS_1251_3333_2002_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_JOBS_3333_MORE_2002_14 = Change in # of jobs with earnings greater than $3333/month, 2002-2014CHNG_PCT_JOBS_29_YNGR_2002_14 = Change in % of jobs for workers age 29 or younger, 2002-2014CHNG_PCT_JOBS_30_54_2002_14 = Change in % of jobs for workers age 30 to 54, 2002-2014CHNG_PCT_JOBS_55_OLDR_2002_14 = Change in % of jobs for workers age 55 or older, 2002-2014CHNG_PCT_JOBS_1250_LESS_2002_14 = Change in % of jobs with earnings $1250/month or less, 2002-2014CHNG_PCT_JOBS_1251_3333_2002_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2002-2014CHNG_PCT_JOBS_3333_MORE_2002_14 = Change in % of jobs with earnings greater than $3333/month, 2002-2014CHNG_JOBS_2013_14 = Change in # of jobs, 2013-2014CHNG_JOBS_AGE_29_YNGR_2013_14 = Change in # of jobs for workers age 29 or younger, 2013-2014CHNG_JOBS_AGE_30_54_2013_14 = Change in # of jobs for workers age 30 to 54, 2013-2014CHNG_JOBS_AGE_55_OLDR_2013_14 = Change in # of jobs for workers age 55 or older, 2013-2014CHNG_JOBS_1250_LESS_2013_14 = Change in # of jobs with earnings $1250/month or less, 2013-2014CHNG_JOBS_1251_3333_2013_14 = Change in # of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_JOBS_3333_MORE_2013_14 = Change in # of jobs with earnings greater than $3333/month, 2013-2014CHNG_PCT_JOBS_29_YNGR_2013_14 = Change in % of jobs for workers age 29 or younger, 2013-2014CHNG_PCT_JOBS_30_54_2013_14 = Change in % of jobs for workers age 30 to 54, 2013-2014CHNG_PCT_JOBS_55_OLDR_2013_14 = Change in % of jobs for workers age 55 or older, 2013-2014CHNG_PCT_JOBS_1250_LESS_2013_14 = Change in % of jobs with earnings $1250/month or less, 2013-2014CHNG_PCT_JOBS_1251_3333_2013_14 = Change in % of jobs with earnings $1251/month to $3333/month, 2013-2014CHNG_PCT_JOBS_3333_MORE_2013_14 = Change in % of jobs with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_JOBS_2014 = Total number of jobs, 2014JOBS_AGE_29_YNGR_2014 = # Jobs for workers age 29 or younger, 2014JOBS_AGE_30_54_2014 = # Jobs for workers age 30 to 54, 2014JOBS_AGE_55_OLDR_2014 = # Jobs for workers age 55 or older, 2014JOBS_EARN_1250_MO_LESS_2014 = # Jobs with earnings $1250/month or less, 2014JOBS_EARN_1251_3333_MO_2014 = # Jobs with earnings $1251/month to $3333/month, 2014JOBS_EARN_MORE_3333_MO_2014 = # Jobs with earnings greater than $3333/month, 2014JOBS_NAICS_11_AG_FOR_FISH_2014 = # Jobs NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014JOBS_NAICS_21_MINE_OIL_GAS_2014 = # Jobs NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014JOBS_NAICS_22_UTILITIES_2014 = # Jobs NAICS 22 (Utilities), 2014JOBS_NAICS_23_CONSTRUCTION_2014 = # Jobs NAICS 23 (Construction), 2014JOBS_NAICS_31_33_MANUFACT_2014 = # Jobs NAICS 31-33 (Manufacturing), 2014JOBS_NAICS_42_WHOLESALE_2014 = # Jobs NAICS 42 (Wholesale Trade), 2014JOBS_NAICS_44_45_RETAIL_2014 = # Jobs NAICS 44-45 (Retail Trade), 2014JOBS_NAICS_48_49_TRANS_WHS_2014 = # Jobs NAICS 48-49 (Transportation and Warehousing), 2014JOBS_NAICS_51_INFORMATION_2014 = # Jobs NAICS 51 (Information), 2014JOBS_NAICS_52_FINANCE_INS_2014 = # Jobs NAICS 52 (Finance and Insurance), 2014JOBS_NAICS_53_REAL_ESTATE_2014 = # Jobs NAICS 53 (Real Estate and Rental and Leasing), 2014JOBS_NAICS_54_PRO_SCI_TECH_2014 = # Jobs NAICS 54 (Professional, Scientific, and Technical Services), 2014JOBS_NAICS_55_MANAGEMENT_2014 = # Jobs NAICS 55 (Management of Companies and Enterprises), 2014JOBS_NAICS_56_ADMIN_WASTE_2014 = # Jobs NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014JOBS_NAICS_61_EDUCATION_2014 = # Jobs NAICS 61 (Educational Services), 2014JOBS_NAICS_62_HEALTH_SOC_2014 = # Jobs NAICS 62 (Health Care and Social Assistance), 2014JOBS_NAICS_71_ARTS_ENT_REC_2014 = # Jobs NAICS 71 (Arts, Entertainment, and Recreation), 2014JOBS_NAICS_72_ACCOMM_FOOD_2014 = # Jobs NAICS 72 (Accommodation and Food Services), 2014JOBS_NAICS_81_OTHER_SERV_2014 = # Jobs NAICS 81 (Other Services [except Public Administration]), 2014JOBS_NAICS_92_PUBLIC_ADMIN_2014 = # Jobs NAICS 92 (Public Administration), 2014- - - - - -CHANGE_WORKERS_2002_07 = Change in # of workers, 2002-2007CHG_WRKRS_AGE_29_YNGR_2002_07 = Change in # of workers age 29 or younger, 2002-2007CHG_WRKRS_AGE_30_54_2002_07 = Change in # of workers age 30 to 54, 2002-2007CHG_WRKRS_AGE_55_OLDR_2002_07 = Change in # of workers age 55 or older, 2002-2007CHG_WRKRS_1250_LESS_2002_07 = Change in # of workers with earnings $1250/month or less, 2002-2007CHG_WRKRS_1251_3333_2002_07 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2007CHG_WRKRS_3333_MORE_2002_07 = Change in # of workers with earnings greater than $3333/month, 2002-2007CHG_PCT_WRKRS_29_YNGR_2002_07 = Change in % of workers age 29 or younger, 2002-2007CHG_PCT_WRKRS_30_54_2002_07 = Change in % of workers age 30 to 54, 2002-2007CHG_PCT_WRKRS_55_OLDR_2002_07 = Change in % of workers age 55 or older, 2002-2007CHG_PCT_WRKRS_1250_LESS_2002_07 = Change in % of workers with earnings $1250/month or less, 2002-2007CHG_PCT_WRKRS_1251_3333_2002_07 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2007CHG_PCT_WRKRS_3333_MORE_2002_07 = Change in % of workers with earnings greater than $3333/month, 2002-2007CHANGE_WORKERS_2007_10 = Change in # of workers, 2007-2010CHG_WRKRS_AGE_29_YNGR_2007_10 = Change in # of workers age 29 or younger, 2007-2010CHG_WRKRS_AGE_30_54_2007_10 = Change in # of workers age 30 to 54, 2007-2010CHG_WRKRS_AGE_55_OLDR_2007_10 = Change in # of workers age 55 or older, 2007-2010CHG_WRKRS_1250_LESS_2007_10 = Change in # of workers with earnings $1250/month or less, 2007-2010CHG_WRKRS_1251_3333_2007_10 = Change in # of workers with earnings $1251/month to $3333/month, 2007-2010CHG_WRKRS_3333_MORE_2007_10 = Change in # of workers with earnings greater than $3333/month, 2007-2010CHG_PCT_WRKRS_29_YNGR_2007_10 = Change in % of workers age 29 or younger, 2007-2010CHG_PCT_WRKRS_30_54_2007_10 = Change in % of workers age 30 to 54, 2007-2010CHG_PCT_WRKRS_55_OLDR_2007_10 = Change in % of workers age 55 or older, 2007-2010CHG_PCT_WRKRS_1250_LESS_2007_10 = Change in % of workers with earnings $1250/month or less, 2007-2010CHG_PCT_WRKRS_1251_3333_2007_10 = Change in % of workers with earnings $1251/month to $3333/month, 2007-2010CHG_PCT_WRKRS_3333_MORE_2007_10 = Change in % of workers with earnings greater than $3333/month, 2007-2010CHANGE_WORKERS_2010_14 = Change in # of workers, 2010-2014CHG_WRKRS_AGE_29_YNGR_2010_14 = Change in # of workers age 29 or younger, 2010-2014CHG_WRKRS_AGE_30_54_2010_14 = Change in # of workers age 30 to 54, 2010-2014CHG_WRKRS_AGE_55_OLDR_2010_14 = Change in # of workers age 55 or older, 2010-2014CHG_WRKRS_1250_LESS_2010_14 = Change in # of workers with earnings $1250/month or less, 2010-2014CHG_WRKRS_1251_3333_2010_14 = Change in # of workers with earnings $1251/month to $3333/month, 2010-2014CHG_WRKRS_3333_MORE_2010_14 = Change in # of workers with earnings greater than $3333/month, 2010-2014CHG_PCT_WRKRS_29_YNGR_2010_14 = Change in % of workers age 29 or younger, 2010-2014CHG_PCT_WRKRS_30_54_2010_14 = Change in % of workers age 30 to 54, 2010-2014CHG_PCT_WRKRS_55_OLDR_2010_14 = Change in % of workers age 55 or older, 2010-2014CHG_PCT_WRKRS_1250_LESS_2010_14 = Change in % of workers with earnings $1250/month or less, 2010-2014CHG_PCT_WRKRS_1251_3333_2010_14 = Change in % of workers with earnings $1251/month to $3333/month, 2010-2014CHG_PCT_WRKRS_3333_MORE_2010_14 = Change in % of workers with earnings greater than $3333/month, 2010-2014CHANGE_WORKERS_2002_14 = Change in # of workers, 2002-2014CHG_WRKRS_AGE_29_YNGR_2002_14 = Change in # of workers age 29 or younger, 2002-2014CHG_WRKRS_AGE_30_54_2002_14 = Change in # of workers age 30 to 54, 2002-2014CHG_WRKRS_AGE_55_OLDR_2002_14 = Change in # of workers age 55 or older, 2002-2014CHG_WRKRS_1250_LESS_2002_14 = Change in # of workers with earnings $1250/month or less, 2002-2014CHG_WRKRS_1251_3333_2002_14 = Change in # of workers with earnings $1251/month to $3333/month, 2002-2014CHG_WRKRS_3333_MORE_2002_14 = Change in # of workers with earnings greater than $3333/month, 2002-2014CHG_PCT_WRKRS_29_YNGR_2002_14 = Change in % of workers age 29 or younger, 2002-2014CHG_PCT_WRKRS_30_54_2002_14 = Change in % of workers age 30 to 54, 2002-2014CHG_PCT_WRKRS_55_OLDR_2002_14 = Change in % of workers age 55 or older, 2002-2014CHG_PCT_WRKRS_1250_LESS_2002_14 = Change in % of workers with earnings $1250/month or less, 2002-2014CHG_PCT_WRKRS_1251_3333_2002_14 = Change in % of workers with earnings $1251/month to $3333/month, 2002-2014CHG_PCT_WRKRS_3333_MORE_2002_14 = Change in % of workers with earnings greater than $3333/month, 2002-2014CHANGE_WORKERS_2013_14 = Change in # of workers, 2013-2014CHG_WRKRS_AGE_29_YNGR_2013_14 = Change in # of workers age 29 or younger, 2013-2014CHG_WRKRS_AGE_30_54_2013_14 = Change in # of workers age 30 to 54, 2013-2014CHG_WRKRS_AGE_55_OLDR_2013_14 = Change in # of workers age 55 or older, 2013-2014CHG_WRKRS_1250_LESS_2013_14 = Change in # of workers with earnings $1250/month or less, 2013-2014CHG_WRKRS_1251_3333_2013_14 = Change in # of workers with earnings $1251/month to $3333/month, 2013-2014CHG_WRKRS_3333_MORE_2013_14 = Change in # of workers with earnings greater than $3333/month, 2013-2014CHG_PCT_WRKRS_29_YNGR_2013_14 = Change in % of workers age 29 or younger, 2013-2014CHG_PCT_WRKRS_30_54_2013_14 = Change in % of workers age 30 to 54, 2013-2014CHG_PCT_WRKRS_55_OLDR_2013_14 = Change in % of workers age 55 or older, 2013-2014CHG_PCT_WRKRS_1250_LESS_2013_14 = Change in % of workers with earnings $1250/month or less, 2013-2014CHG_PCT_WRKRS_1251_3333_2013_14 = Change in % of workers with earnings $1251/month to $3333/month, 2013-2014CHG_PCT_WRKRS_3333_MORE_2013_14 = Change in % of workers with earnings greater than $3333/month, 2013-2014- - - - - -TOTAL_WRKRS_2014 = Total number of workers, 2014WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014- - - - - -Source: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional CommissionDates: 2014; 2002-2014For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: Longitudinal Employer-Household Dynamics (U.S. Census Bureau), Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Worked_at_home
(
type: esriFieldTypeInteger, alias: Number, Worked at home, editable: true, nullable: true, defaultValue: null, modelName: Worked_at_home
)
Pct_Worked_at_home
(
type: esriFieldTypeDouble, alias: Percent, Worked at home, editable: true, nullable: true, defaultValue: null, modelName: Pct_Worked_at_home
)
Mean_Travel_Time_to_Work_min
(
type: esriFieldTypeDouble, alias: Mean travel time to work (minutes), editable: true, nullable: true, defaultValue: null, modelName: Mean_Travel_Time_to_Work_min
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: %, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Population Under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: %, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Population 18 to 64 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: %, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Population 65 years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: %, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
USnative_Born_in_US
(
type: esriFieldTypeInteger, alias: #, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: %, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_State_Resid
(
type: esriFieldTypeInteger, alias: #, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: %, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
US_Native_Born_Diff_State
(
type: esriFieldTypeInteger, alias: #, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: %, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeInteger, alias: #, Grandparents living with own grandchildren under 18 years, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_wHealth_Insurance
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Population_with_public_coverage
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Population_with_public_coverage
)
Pct_Pop_with_public_coverage
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_with_public_coverage
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: #, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: %, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized ages 18 to 64, not in labor force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeInteger, alias: #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeInteger, alias: #, Housing units for which Selected Monthly Owner Costs as % of income are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeInteger, alias: #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeInteger, alias: #, Housing units for which Gross rent as a percentage of income is computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeInteger, alias: #, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: %, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeInteger, alias: #, Housing units for which SMOCAPI or GRAPI are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeInteger, alias: #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_PovertyStatus_Determined
(
type: esriFieldTypeInteger, alias: #, Population for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Population_in_poverty
(
type: esriFieldTypeInteger, alias: #, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Population_in_poverty
)
Percent_Population_in_poverty
(
type: esriFieldTypeDouble, alias: %, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Percent_Population_in_poverty
)
Pop_under18_PovStatusDetermined
(
type: esriFieldTypeInteger, alias: #, Population under 18 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatusDetermined
)
Pop_under18_in_Poverty
(
type: esriFieldTypeInteger, alias: #, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_in_Poverty
)
Pct_Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: %, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_under18_in_Poverty
)
Pop_18_64_PovStatus_Determined
(
type: esriFieldTypeInteger, alias: #, Population 18 to 64 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determined
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeInteger, alias: #, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: %, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_in_Poverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeInteger, alias: #, Population 65 years and over for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeInteger, alias: #, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: %, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_in_Poverty
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_3yrsOlder_Enrolld_in_School
(
type: esriFieldTypeInteger, alias: #, Population 3 years and over enrolled in school, editable: true, nullable: true, defaultValue: null, modelName: Pop_3yrsOlder_Enrolld_in_School
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by zip code in the Atlanta region (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:ZIP = Zip code (text)ZIP_dbl = Zip code (numeric)Total_Population_2010= Total Population, 2010 CensusTotal_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized Population Under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized Population 18 to 64 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized Population 65 years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeInteger, alias: Disability: #, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
USnative_Born_in_US
(
type: esriFieldTypeInteger, alias: Foreign Born: #, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_State_Resid
(
type: esriFieldTypeInteger, alias: Foreign Born: #, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
US_Native_Born_Diff_State
(
type: esriFieldTypeInteger, alias: Foreign Born: #, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeInteger, alias: Grandparents: #, Grandparents living with own grandchildren under 18 years, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_wHealth_Insurance
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Population_with_public_coverage
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Population_with_public_coverage
)
Pct_Pop_with_public_coverage
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_with_public_coverage
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeInteger, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Housing units for which Selected Monthly Owner Costs as % of income are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Housing units for which Gross rent as a percentage of income is computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Housing units for which SMOCAPI or GRAPI are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeInteger, alias: Housing Affordability: #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_5Years_andOlder
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: #, Population 5 years and Over, editable: true, nullable: true, defaultValue: null, modelName: Pop_5Years_andOlder
)
SpeakEngl_lessThan_vWell
(
type: esriFieldTypeInteger, alias: Linguistic Isolation: #, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: SpeakEngl_lessThan_vWell
)
Pct_SpeakEng_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: %, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: Pct_SpeakEng_lessThan_vWell
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_PovertyStatus_Determined
(
type: esriFieldTypeInteger, alias: Poverty: #, Population for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Population_in_poverty
(
type: esriFieldTypeInteger, alias: Poverty: #, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Population_in_poverty
)
Percent_Population_in_poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Percent_Population_in_poverty
)
Pop_under18_PovStatusDetermined
(
type: esriFieldTypeInteger, alias: Poverty: #, Population under 18 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatusDetermined
)
Pop_under18_in_Poverty
(
type: esriFieldTypeInteger, alias: Poverty: #, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_in_Poverty
)
Pct_Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_under18_in_Poverty
)
Pop_18_64_PovStatus_Determined
(
type: esriFieldTypeInteger, alias: Poverty: #, Population 18 to 64 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determined
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeInteger, alias: Poverty: #, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_in_Poverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeInteger, alias: Poverty: #, Population 65 years and over for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeInteger, alias: Poverty: #, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_in_Poverty
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Pop_3yrsOlder_Enrolld_in_School
(
type: esriFieldTypeInteger, alias: School Enrollment: #, Population 3 years and over enrolled in school, editable: true, nullable: true, defaultValue: null, modelName: Pop_3yrsOlder_Enrolld_in_School
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by House district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, No vehicles availablePercent_No_vehicles_available= %, No vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA House District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Name
(
type: esriFieldTypeString, alias: GA House District Name, editable: true, nullable: true, length: 1073741822, defaultValue: null, modelName: Name
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeInteger, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population Under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population 18 to 64 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population 65 years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
USnative_Born_in_US
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
US_Native_Born_Diff_State
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeDouble, alias: Grandparents: #, Grandparents living with own grandchildren under 18 years, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Pop_wHealth_Insurance
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Population_with_public_coverage
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Population_with_public_coverage
)
Pct_Pop_with_public_coverage
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_with_public_coverage
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which Selected Monthly Owner Costs as % of income are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which Gross rent as a percentage of income is computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which SMOCAPI or GRAPI are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Pop_5Years_andOlder
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: #, Population 5 years and Over, editable: true, nullable: true, defaultValue: null, modelName: Pop_5Years_andOlder
)
SpeakEngl_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: #, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: SpeakEngl_lessThan_vWell
)
Pct_SpeakEng_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: %, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: Pct_SpeakEng_lessThan_vWell
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Pop_PovertyStatus_Determined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Population_in_poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Population_in_poverty
)
Percent_Population_in_poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Percent_Population_in_poverty
)
Pop_under18_PovStatusDetermined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population under 18 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatusDetermined
)
Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_in_Poverty
)
Pct_Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_under18_in_Poverty
)
Pop_18_64_PovStatus_Determined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 18 to 64 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determined
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_in_Poverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 65 years and over for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_in_Poverty
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Pop_3yrsOlder_Enrolld_in_School
(
type: esriFieldTypeDouble, alias: School Enrollment: #, Population 3 years and over enrolled in school, editable: true, nullable: true, defaultValue: null, modelName: Pop_3yrsOlder_Enrolld_in_School
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2011-2015, to show various demographic data by state Senate district in the state of Georgia (including the following categories: total population, age, race/ethnicity, household composition, grandparents, school enrollment, educational attainment, veteran status, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.- - - - - -Base Attributes:DISTRICT = GA Senate DistrictPOPULATION = District Population (2010 Census)Total_Population_2011_2015_ACS= Total Population, 2011-2015 American Community Survey (ACS)Name = GA Senate District Nameprofile_url = Web address of ARC district profile- - - - - -Attributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - - GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units= Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlierOwner_occupied_housing_units= Housing Tenure: #, Owner occupied housing unitsPct_Owner_Occ_HousUnits= Housing Tenure: %, Owner occupied housing unitsRenter_occupied_housing_units= Housing Tenure: #, Renter occupied housing unitsPct_Renter_Occ_Units= Housing Tenure: %, Renter occupied housing units- - - - - -OwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -Civil_Pop_18years_andOlder = #, Civilian population 18 years and overCivilian_veterans = #, Civilian veteransPercent_Civilian_veterans = %, Civilian veterans- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2011-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
DISTRICT
(
type: esriFieldTypeString, alias: GA Senate District, editable: true, nullable: true, length: 12, defaultValue: null, modelName: DISTRICT
)
POPULATION
(
type: esriFieldTypeDouble, alias: District Population (2010 Census), editable: true, nullable: true, defaultValue: null, modelName: POPULATION
)
Total_Population_2011_2015_ACS
(
type: esriFieldTypeDouble, alias: Total Population, 2011-2015 American Community Survey (ACS), editable: true, nullable: true, defaultValue: null, modelName: Total_Population_2011_2015_ACS
)
Name
(
type: esriFieldTypeString, alias: GA Senate District Name, editable: true, nullable: true, length: 255, defaultValue: null, modelName: Name
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Civ_nonInstitution_Pop_wDisabil
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitution_Pop_wDisabil
)
Pct_Civ_nonInstitut_Pop_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Population With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInstitut_Pop_wDisab
)
Civ_nonInstitut_Pop_under_18yrs
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population Under 18 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInstitut_Pop_under_18yrs
)
Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_under18_wDisab
)
Pct_Civ_nonInst_under18_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized Under 18 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_under18_wDisab
)
Civ_nonInst_Pop_18_to_64
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population 18 to 64 years, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_18_to_64
)
Civ_nonInst_18_to_64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_18_to_64_wDisab
)
Pct_Civ_nonInst_18to64_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 18 to 64 years With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_18to64_wDisab
)
Civ_nonInst_Pop_65years_up
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized Population 65 years and over, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_Pop_65years_up
)
Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Disability: #, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Civ_nonInst_65up_wDisab
)
Pct_Civ_nonInst_65up_wDisab
(
type: esriFieldTypeDouble, alias: Disability: %, Civilian Noninstitutionalized 65 years and over With a disability, editable: true, nullable: true, defaultValue: null, modelName: Pct_Civ_nonInst_65up_wDisab
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
USnative_Born_in_US
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_in_US
)
Pct_USnative_Born_US
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in the United States, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_US
)
USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: USnative_Born_State_Resid
)
Pct_USnative_Born_State_Resid
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in State of Residence, editable: true, nullable: true, defaultValue: null, modelName: Pct_USnative_Born_State_Resid
)
US_Native_Born_Diff_State
(
type: esriFieldTypeDouble, alias: Foreign Born: #, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: US_Native_Born_Diff_State
)
Pct_US_Natv_Born_inDiff_State
(
type: esriFieldTypeDouble, alias: Foreign Born: %, U.S. Native, Born in Different State, editable: true, nullable: true, defaultValue: null, modelName: Pct_US_Natv_Born_inDiff_State
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
GParents_Liv_wOwn_GChild_und18
(
type: esriFieldTypeDouble, alias: Grandparents: #, Grandparents living with own grandchildren under 18 years, editable: true, nullable: true, defaultValue: null, modelName: GParents_Liv_wOwn_GChild_und18
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Pop_wHealth_Insurance
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wHealth_Insurance
)
Pct_Pop_wHealth_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wHealth_Ins
)
Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_wPriv_Health_Ins
)
Pct_Pop_wPriv_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with private health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wPriv_Health_Ins
)
Population_with_public_coverage
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Population_with_public_coverage
)
Pct_Pop_with_public_coverage
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with public coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_with_public_coverage
)
Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pop_wNo_Health_Ins
)
Pct_Pop_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized population with no health insurance coverage, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_wNo_Health_Ins
)
Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_u18_wNo_Health_Ins
)
Pct_Pop_u18_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian Noninstitutionalized Population Under 18 years with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_u18_wNo_Health_Ins
)
Pop_18to64_Unemp_wNo_Health_Ins
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Unemp_wNo_Health_Ins
)
Pct_Pop_18to64_Unemp_No_HlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18to64_Unemp_No_HlthIns
)
Pop_18to64_Not_in_Labor_Force
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_in_Labor_Force
)
Pop_18to64_Not_LabFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: Pop_18to64_Not_LabFor_NoHlthIns
)
PctPop_18to64_NotLFor_NoHlthIns
(
type: esriFieldTypeDouble, alias: Health Insurance: %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance, editable: true, nullable: true, defaultValue: null, modelName: PctPop_18to64_NotLFor_NoHlthIns
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
HousUnits_MonthOwnerCosts_toInc
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which Selected Monthly Owner Costs as % of income are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_MonthOwnerCosts_toInc
)
Sel_Mo_Own_Costs_30pct_of_Incom
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Sel_Mo_Own_Costs_30pct_of_Incom
)
Pct_Sel_Mo_Own_Costs_30pct_Inc
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: Pct_Sel_Mo_Own_Costs_30pct_Inc
)
HousUnits_Compute_RentPctIncome
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which Gross rent as a percentage of income is computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_Compute_RentPctIncome
)
Rent_Pct_of_Inc_More30Pct
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: Rent_Pct_of_Inc_More30Pct
)
PctRent_PctIncome_More30Pct
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Gross rent as a percentage of household income (GRAPI) is 30% or more, editable: true, nullable: true, defaultValue: null, modelName: PctRent_PctIncome_More30Pct
)
HousUnits_OwnRent_Compute
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing units for which SMOCAPI or GRAPI are computed, editable: true, nullable: true, defaultValue: null, modelName: HousUnits_OwnRent_Compute
)
HousCosts_Units_30pctMore_Inc
(
type: esriFieldTypeDouble, alias: Housing Affordability: #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: HousCosts_Units_30pctMore_Inc
)
PctHousCost_30pctMore_Income
(
type: esriFieldTypeDouble, alias: Housing Affordability: %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income, editable: true, nullable: true, defaultValue: null, modelName: PctHousCost_30pctMore_Income
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Pop_5Years_andOlder
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: #, Population 5 years and Over, editable: true, nullable: true, defaultValue: null, modelName: Pop_5Years_andOlder
)
SpeakEngl_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: #, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: SpeakEngl_lessThan_vWell
)
Pct_SpeakEng_lessThan_vWell
(
type: esriFieldTypeDouble, alias: Linguistic Isolation: %, Speak English Less than very well, editable: true, nullable: true, defaultValue: null, modelName: Pct_SpeakEng_lessThan_vWell
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Pop_PovertyStatus_Determined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_PovertyStatus_Determined
)
Population_in_poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Population_in_poverty
)
Percent_Population_in_poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population in poverty, editable: true, nullable: true, defaultValue: null, modelName: Percent_Population_in_poverty
)
Pop_under18_PovStatusDetermined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population under 18 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_PovStatusDetermined
)
Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_under18_in_Poverty
)
Pct_Pop_under18_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population under 18 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_under18_in_Poverty
)
Pop_18_64_PovStatus_Determined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 18 to 64 years for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_PovStatus_Determined
)
Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_18_64_Years_in_Poverty
)
Pct_Pop_18_64_Years_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 18 to 64 years in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_18_64_Years_in_Poverty
)
Pop_65older_PovStatusDetermined
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 65 years and over for whom poverty status is determined, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_PovStatusDetermined
)
Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: #, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pop_65older_in_Poverty
)
Pct_Pop_65older_in_Poverty
(
type: esriFieldTypeDouble, alias: Poverty: %, Population 65 years and over in poverty, editable: true, nullable: true, defaultValue: null, modelName: Pct_Pop_65older_in_Poverty
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
In_School
(
type: esriFieldTypeDouble, alias: School Enrollment: #, Population 3 years and over enrolled in school, editable: true, nullable: true, defaultValue: null, modelName: In_School
)
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show various demographic data by city in the state of Georgia (including the following categories: total population, household composition, grandparents, school enrollment, educational attainment, disability, foreign born status, linguistic isolation, unemployment, commuting mode, occupation, income, health insurance, poverty, housing characteristics, vehicle availability, housing values, and housing affordability).The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:NAME = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county regionAttributes from ACS:Workers_16_years_and_over= Number, Workers, 16 years and overCar_Truck_or_Van_drove_alone= Number, Car, truck, or van – drove alonePct_Car_Truck_Van_drove_alone= Percent, Car, truck, or van – drove aloneCar_truck_or_van_carpooled= Number, Car, truck, or van – carpooledPct_Car_Truck_Van_carpooled= Percent, Car, truck, or van – carpooledPublic_Transport_excluding_Taxi= Number, Public transportation (excluding taxicab)Pct_Public_Transp_exclude_Taxi= Percent, Public transportation (excluding taxicab)Worked_at_home= Number, Worked at homePct_Worked_at_home= Percent, Worked at homeMean_Travel_Time_to_Work_min= Mean travel time to work (minutes)- - - - - -Civilian_nonInstitutional_Pop= Total Civilian Noninstitutionalized PopulationCiv_nonInstitution_Pop_wDisabil= #, Civilian Noninstitutionalized Population With a disabilityPct_Civ_nonInstitut_Pop_wDisab= %, Civilian Noninstitutionalized Population With a disabilityCiv_nonInstitut_Pop_under_18yrs= #, Civilian Noninstitutionalized Population Under 18 yearsCiv_nonInst_under18_wDisab= #, Civilian Noninstitutionalized Under 18 years With a disabilityPct_Civ_nonInst_under18_wDisab= %, Civilian Noninstitutionalized Under 18 years With a disabilityCiv_nonInst_Pop_18_to_64= #, Civilian Noninstitutionalized Population 18 to 64 yearsCiv_nonInst_18_to_64_wDisab= #, Civilian Noninstitutionalized 18 to 64 years With a disabilityPct_Civ_nonInst_18to64_wDisab= %, Civilian Noninstitutionalized 18 to 64 years With a disabilityCiv_nonInst_Pop_65years_up= #, Civilian Noninstitutionalized Population 65 years and overCiv_nonInst_65up_wDisab= #, Civilian Noninstitutionalized 65 years and over With a disabilityPct_Civ_nonInst_65up_wDisab= %, Civilian Noninstitutionalized 65 years and over With a disability- - - - - -Population_25_years_and_over= #, Population 25 years and overLess_than_HS_or_GED= #, Less than HS or GEDPercent_Less_than_HS_or_GED= %, Less than HS or GEDBA_or_Higher= #, BA or HigherPercent_BA_or_Higher= %, BA or Higher- - - - - -US_Native= #, U.S. NativePercent_US_Native= %, U.S. NativeUSnative_Born_in_US= #, U.S. Native, Born in the United StatesPct_USnative_Born_US= %, U.S. Native, Born in the United StatesUSnative_Born_State_Resid= #, U.S. Native, Born in State of ResidencePct_USnative_Born_State_Resid= %, U.S. Native, Born in State of ResidenceUS_Native_Born_Diff_State= #, U.S. Native, Born in Different StatePct_US_Natv_Born_inDiff_State= %, U.S. Native, Born in Different StateForeign_Born= #, Foreign BornPercent_Foreign_Born= %, Foreign BornForBorn_Nat_UScitizen= #, Foreign Born, Naturalized U.S. CitizenPct_ForBorn_Nat_UScitizen= %, Foreign Born, Naturalized U.S. CitizenForeignBorn_notUS_Citizen= #, Foreign Born, Not a U.S. CitizenPct_ForBorn_notUS_Citizen= %, Foreign Born, Not a U.S. Citizen- - - - - -GParents_Liv_wOwn_GChild_und18= #, Grandparents living with own grandchildren under 18 yearsGParents_RespFor_Gchildren= #, Grandparents Responsible for grandchildrenPct_GPar_RespFor_Gchildren= %, Grandparents Responsible for grandchildren- - - - - -Pop_wHealth_Insurance= #, Civilian noninstitutionalized population with health insurance coveragePct_Pop_wHealth_Ins= %, Civilian noninstitutionalized population with health insurance coveragePop_wPriv_Health_Ins= #, Civilian noninstitutionalized population with private health insurancePct_Pop_wPriv_Health_Ins= %, Civilian noninstitutionalized population with private health insurancePopulation_with_public_coverage= #, Civilian noninstitutionalized population with public coveragePct_Pop_with_public_coverage= %, Civilian noninstitutionalized population with public coveragePop_wNo_Health_Ins= #, Civilian noninstitutionalized population with no health insurance coveragePct_Pop_wNo_Health_Ins= %, Civilian noninstitutionalized population with no health insurance coveragePop_u18_wNo_Health_Ins= #, Civilian Noninstitutionalized Population Under 18 years with no health insurancePct_Pop_u18_wNo_Health_Ins= %, Civilian Noninstitutionalized Population Under 18 years with no health insurancePop_18to64_Employed= #, Civilian noninstitutionalized ages 18 to 64, employedPop_18to64_Empl_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePct_Pop_18to64_Emp_wNo_Hlth_Ins= %, Civilian noninstitutionalized ages 18 to 64, employed with no health insurancePop_18to64_Unemployed= #, Civilian noninstitutionalized ages 18 to 64, unemployedPop_18to64_Unemp_wNo_Health_Ins= #, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePct_Pop_18to64_Unemp_No_HlthIns= %, Civilian noninstitutionalized ages 18 to 64, unemployed with no health insurancePop_18to64_Not_in_Labor_Force= #, Civilian noninstitutionalized ages 18 to 64, not in labor forcePop_18to64_Not_LabFor_NoHlthIns= #, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurancePctPop_18to64_NotLFor_NoHlthIns= %, Civilian noninstitutionalized ages 18 to 64, not in labor force with no health insurance- - - - - -HousUnits_MonthOwnerCosts_toInc= #, Housing units for which Selected Monthly Owner Costs as % of income are computedSel_Mo_Own_Costs_30pct_of_Incom= #, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomePct_Sel_Mo_Own_Costs_30pct_Inc= %, Selected Monthly Owner Costs (SMOCAPI) are 30% or more of household incomeHousUnits_Compute_RentPctIncome= #, Housing units for which Gross rent as a percentage of income is computedRent_Pct_of_Inc_More30Pct= #, Gross rent as a percentage of household income (GRAPI) is 30% or morePctRent_PctIncome_More30Pct= %, Gross rent as a percentage of household income (GRAPI) is 30% or moreHousUnits_OwnRent_Compute= #, Housing units for which SMOCAPI or GRAPI are computedHousCosts_Units_30pctMore_Inc= #, Housing costs (GRAPI or SMOCAPI) are 30% or more of household incomePctHousCost_30pctMore_Income= %, Housing costs (GRAPI or SMOCAPI) are 30% or more of household income- - - - - -Total_housing_units = Housing Characteristics: Total housing unitsOccupied_housing_units= #, Occupied housing unitsPercent_Occupied_housing_units= %, Occupied housing unitsVacant_housing_units= #, Vacant housing unitsPercent_Vacant_housing_units= %, Vacant housing unitsHomeowner_vacancy_rate= Homeowner vacancy rateRental_vacancy_rate= Rental vacancy rateOne_unit_detatched_housing_unit= #, 1-unit detached housing unitsPercent_1Unit_Detached= %, 1-unit detached housing unitsHousing_units_built_since_2000= #, Housing units built since 2000Pct_Units_Built_Since_2000= %, Housing units built since 2000Units_Built_1980_to_1999= #, Housing units built 1980 to 1999Pct_Units_Built_1980_to_1999= %, Housing units built 1980 to 1999Units_Built_1979_or_Earlier= #, Housing units built 1979 or earlierPct_Units_Built_1979_or_Earlier= %, Housing units built 1979 or earlier- - - - - -Total_Housing_Units_Val = Housing Value: Total Housing UnitsOccupied_Housing_Units_Val = Housing Value: Occupied Housing UnitsOwnOcc_units_valued_less_100k= #, Owner occupied housing units valued less than $100,000Pct_OwnOcc_units_val_less_100k= %, Owner occupied housing units valued less than $100,000OwnOcc_units_valued_100k_300k= #, Owner occupied housing units valued $100,000-$299,999Pct_OwnOcc_units_val_100k_300k= %, Owner occupied housing units valued $100,000-$299,999OwnOcc_units_valued_300k_more= #, Owner occupied housing units valued $300,000 or morePct_OwnOcc_units_val_300k_more= %, Owner occupied housing units valued $300,000 or moreMedian_value_own_occ_units= Median value, owner occupied housing units- - - - - -Income_Total_households = Income: Total householdsHousehold_inc_less_35k= #, Household income less than $35,000Pct_Household_inc_less_35k= %, Household income less than $35,000Household_inc_35k_75k= #, Household income $35,000 to $74,999Pct_Household_inc_35k_75k= %, Household income $35,000 to $74,999Household_inc_75k_200k= #, Household income $75,000 to $200,000Pct_Household_inc_75k_200k= %, Household income $75,000 to $200,000Household_inc_200k_more= #, Household income $200,000 or morePct_Household_inc_200k_more= %, Household income $200,000 or moreMedian_household_Income= Median household incomeAverage_Per_capita_Income= Average Per capita IncomeAggregate_HH_Income= Aggregate Household IncomeAverage_Household_Income= Average Household Income- - - - - -Pop_5Years_andOlder= #, Population 5 years and OverSpeakEngl_lessThan_vWell= #, Speak English Less than "very well"Pct_SpeakEng_lessThan_vWell= %, Speak English Less than "very well"- - - - - -Pop_PovertyStatus_Determined= #, Population for whom poverty status is determinedPopulation_in_poverty= #, Population in povertyPercent_Population_in_poverty= %, Population in povertyPop_under18_PovStatusDetermined= #, Population under 18 years for whom poverty status is determinedPop_under18_in_Poverty= #, Population under 18 years in povertyPct_Pop_under18_in_Poverty= %, Population under 18 years in povertyPop_18_64_PovStatus_Determined= #, Population 18 to 64 years for whom poverty status is determinedPop_18_64_Years_in_Poverty= #, Population 18 to 64 years in povertyPct_Pop_18_64_Years_in_Poverty= %, Population 18 to 64 years in povertyPop_65older_PovStatusDetermined= #, Population 65 years and over for whom poverty status is determinedPop_65older_in_Poverty= #, Population 65 years and over in povertyPct_Pop_65older_in_Poverty= %, Population 65 years and over in poverty- - - - - -Pop_3yrsOlder_Enrolld_in_School= #, Population 3 years and over enrolled in schoolNursery_school_preschool= #, Enrolled in nursery school, preschoolPct_Nursery_Preschool= %, Enrolled in nursery school, preschoolKindergarten= #, Enrolled in kindergartenPercent_Kindergarten= %, Enrolled in kindergartenElementary_school_grades_1_8= #, Enrolled in elementary school (grades 1-8)Percent_ElemSchool_grades_1_8= %, Enrolled in elementary school (grades 1-8)High_school_grades_9_12= #, Enrolled in high school (grades 9-12)Percent_HS_grades_9_12= %, Enrolled in high school (grades 9-12)College_or_graduate_school= #, Enrolled in college or graduate schoolPercent_College_or_grad_school= %, Enrolled in college or graduate school- - - - - -Population_16_years_and_over= #, Population 16 years and overCivilian_Labor_Force= #, Civilian Labor ForcePercent_Civilian_Labor_Force= %, Civilian Labor ForceUnemp_Civil_Lab_Force= #, Unemployed, Civilian Labor ForcePercent_Unemp_Civ_Lab_Force= %, Unemployed, Civilian Labor Force- - - - - -No_vehicles_available= #, Households with no vehicles availablePercent_No_vehicles_available= %, Households with no vehicles available- - - - - -CivEmplPop_16yrsAndOlder= #, Civilian employed population 16 years and overMgmtBusSciArts_Occup= #, Management, business, science, arts occupationsPct_MgmtBusSciArts_Occup= %, Management, business, science, arts occupationsService_occupations= #, Service occupationsPercent_Service_occupations= %, Service occupationsSales_and_office_occupations= #, Sales and office occupationsPct_Sales_and_Office_Occup= %, Sales and office occupationsNatRes_Constr_Maint_Occup= #, Natural resources, construction, and maintenance occupationsPct_NatRes_Constr_Maint_Occup= %, Natural resources, construction, and maintenance occupationsProd_Transp_MaterialMov_Occup= #, Production, transportation, and material moving occupationsPct_Prod_Trans_MatMov_Occup= %, Production, transportation, and material moving occupations- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show population by age groups and race/ethnic groups.The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The data shown here are ACS combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:Name = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county region- - - - - -Attributes from ACS:Under_18_years = Under 18 yearsPct_Under_18_years = % Under 18 years18_29_years = 18-29 yearsPct_18_29_years = % 18-29 years30_44_years = 30-44 yearsPct_30_44_years = % 30-44 years45_64_years = 45-64 yearsPct_45_64_years = % 45-64 years65_years_and_over = 65 years and overPct_65_years_and_over = % 65 years and overMedian_Age = Median Age - - - - - -White = WhitePct_White = % WhiteBlack_African_American = Black or African AmericanPct_Black_African_American = % Black or African AmericanAsian = AsianPct_Asian = % AsianOther_two_races = Other or two racesPct_Other_two_races = % Other or two racesHispanic_Latino_all_races = Hispanic or Latino, all racesPct_Hispanic_Latino_all_races = % Hispanic or Latino, all races- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2010-2014, to show population by age groups and race/ethnic groups.The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. The Census Bureau also calculates a corresponding margin of error (MOE) for ACS measures (although margins of error are not included in this dataset).The data shown here are ACS combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2010-2014). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.For further explanation of ACS estimates and margin of error, refer to Census Bureau documentation.Base Attributes:Name = Name of city or municipalityAcres = Area in acresSq_Miles = Area in square milesCounty20 = Within ARC 20-county regionCounty10 = Within ARC 10-county region- - - - - -Attributes from ACS:Under_18_years = Under 18 yearsPct_Under_18_years = % Under 18 years18_29_years = 18-29 yearsPct_18_29_years = % 18-29 years30_44_years = 30-44 yearsPct_30_44_years = % 30-44 years45_64_years = 45-64 yearsPct_45_64_years = % 45-64 years65_years_and_over = 65 years and overPct_65_years_and_over = % 65 years and overMedian_Age = Median Age - - - - - -White = WhitePct_White = % WhiteBlack_African_American = Black or African AmericanPct_Black_African_American = % Black or African AmericanAsian = AsianPct_Asian = % AsianOther_two_races = Other or two racesPct_Other_two_races = % Other or two racesHispanic_Latino_all_races = Hispanic or Latino, all racesPct_Hispanic_Latino_all_races = % Hispanic or Latino, all races- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010-2014For additional information, please visit the Atlanta Regional Commission atwww.atlantaregional.com.
Copyright Text: U.S. Census Bureau, Atlanta Regional Commission
Description: Fields include: Overall Child Well-Being (CWB) Score, Child Score, Family Score, Community Score, % Low Weight Births, % Students Exceeding 3rd Grade Reading Standards, % Students Exceeding 8th Grade Math Standards, High School Graduation Rate, High School College & Career Readiness Score, % Children without Health Insurance, % Children in Poverty, % Families Not Financially Stable, % Families with Housing Cost Burden, % Births to Mothers without a High School Diploma, % Enrolled in Post-Secondary Education, % Adults without a High School Diploma, % Adults without Health Insurance, Unemployment Rate, and overall score colors for users who want to maintain the United Way's color scheme.
Copyright Text: Atlanta Regional Commission, Neighborhood Nexus, United Way of Greater Atlanta
Pct_Births_Mothers_no_HSDiplom
(
type: esriFieldTypeDouble, alias: % Births to Mothers without a High School Diploma, editable: true, nullable: true, defaultValue: null, modelName: Pct_Births_Mothers_no_HSDiploma
)
Description: This dataset was processed and published by the Atlanta Regional Commission from the Center for Disease Control U.S. Small-area Life Expectancy Estimates Project (USALEEP), a partnership of NCHS, the Robert Wood Johnson Foundation (RWJF), and the National Association for Public Health Statistics and Information Systems (NAPHSIS) to produce a new measure of health for where you live. The USALEEP project produced estimates of life expectancy at birth—the average number of years a person can expect to live—for most of the census tracts in the United States for the period 2010-2015.Attributes:TRACTCE: Census Tract NumberGEOID: Concatanation of State FIPS, County FIPS and Census Tract NumberPLNG_REGIO: ARC Planning RegionLife_Expectancy_at_Birth: Life Expectancy at BirthStnd_Error_of_Life_Expenctancy_at_Birth: Standard error of Life Expectancy at BirthMethodsThe abridged period life tables calculated to estimate census-tract life expectancy at birth for the period 2010-2015 are based on a methodology developed for this project and described in the report:Arias E, Escobedo LA, Kennedy J, Fu C, Cisewski J. U.S. Small-area Life Expectancy Estimates Project: Methodology and Results Summary[PDF – 8 MB]. National Center for Health Statistics. Vital Health Stat 2(181). 2018.Data and Documentation FilesLife Expectancy Files contain geographic identifiers, life expectancy at birth for 2010-2015, and flags noting whether the estimates were based exclusively on observed data, a combination of observed and predicted values, or exclusively predicted values.Abridged Period Life Table Files contain geographic identifiers and the abridged, period life tables for 2010-2015 that were calculated to generate the life expectancy estimates for each census tract.Record layout [PDF – 69 KB] [XLS – 18 KB]Copyright informationAll material appearing on this page is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.Suggested citationFor data files: Atlanta Regional Commission, National Center for Health Statistics. U.S. Small-Area Life Expectancy Estimates Project (USALEEP): Life Expectancy Estimates File for {Jurisdiction}, 2010-2015]. National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html.For methodology: Arias E, Escobedo LA, Kennedy J, Fu C, Cisewski J. U.S. Small-area Life Expectancy Estimates Project: Methodology and Results Summary[PDF – 8 MB]. National Center for Health Statistics. Vital Health Stat 2(181). 2018.
Copyright Text: Atlanta Regional Commission, National Center for Health Statistics. U.S. Small-Area Life Expectancy Estimates Project (USALEEP): Life Expectancy Estimates File for {Jurisdiction}, 2010-2015]. National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html.