Census Block Group (CBG)A census block group is a geographical unit used by the US Census that is smaller than a census tract but larger than a census block. Each block groups is a cluster of census blocks having the same first digit of their four-digit identifying numbers within a census tract.US CensusGEOID10Unique 12-digit block group identification string (FIPS code)US Census 2010SFIPSState 2-digit FIPS codeUS CensusCFIPSCounty 3-digit FIPS codeUS CensusTRFIPSCensus tract FIPS code in which CBG residesCSAFIPS for Combined Statistical Area in which CBG residesUS CensusCSA_NameName of CSA in which CBG residesUS CensusCCBSAFIPS for core based statistical area in which CBG residesUS CensusCountHUHousing units, 2010US Census 2010TotPopPopulation, 2010US Census 2010P_WrkAgePercent of population that is working-aged, 2010US Census 2010AutoOwn0Numer of households in CBG that own zero automobiles, 2010Amercian Community Survey, 2010Pct_AO0Percent of households with zero automobiles, 2010.Amercian Community Survey, 2010AutoOwn1Number of households in CBG that own one automobile, 2010.Amercian Community Survey, 2010Pct_AO1Percentage of households with one automobile, 2010Amercian Community Survey, 2010AutoOwn2pNumber of households that own 2 or more automobiles, 2010Pct_AO2pPercentage of of households with 2 or more automobiles, 2010Amercian Community Survey, 2010WorkersNumber of workers in CBG (home location), 2010Census LEHD, 2010R_LowWageWkNumber of workers earning $1250/month or less (home location), 2010Census LEHD, 2010R_MedWageWkNumber of workers earning more than $1250/month but less than $3333/month (home location), 2010Census LEHD, 2010R_HiWageWkNumber of workers earning greater than $3333/month (home location), 2010Census LEHD, 2010R_PctLowWageLow wage workers as a percentage of all workers (home location), 2010Census LEHD, 2010TotEmpTotal employment, 2010Census LEHD, 2010E5_Ret10Retail jobs within a 5-tier employment classification scheme (LEHD: CNS07)Census LEHD, 2010E5_Off10Office jobs within a 5-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13 + CNS20)Census LEHD, 2010E5_Ind10Industrial jobs within a 5-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08)Census LEHD, 2010E5_Svc10Service jobs within a 5-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS15 + CNS16 + CNS19)Census LEHD, 2010E5_Ent10Entertainment jobs within a 5-tier employment classification scheme (LEHD: CNS17 + CNS18)Census LEHD, 2010E8_Ret10Retail jobs within a 8-tier employment classification scheme (LEHD: CNS07)Census LEHD, 2010E8_Off10Office jobs within a 8-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13)Census LEHD, 2010E8_Ind10Industrial jobs within a 8-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08)Census LEHD, 2010E8_Svc10Service jobs within a 8-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS19)Census LEHD, 2010E8_Ent10Entertainment jobs within a 8-tier employment classification scheme (LEHD: CNS17 + CNS18)Census LEHD, 2010E8_Ed10Education jobs within a 8-tier employment classification scheme (LEHD: CNS15)Census LEHD, 2010E8_Hlth10Health care jobs within a 8-tier employment classification scheme (LEHD: CNS16)Census LEHD, 2010E8_Pub10Public administration jobs within a 8-tier employment classification scheme (LEHD: CNS20)Census LEHD, 2010E_LowWageWkNumber of workers earning $1250/month or less (work location), 2010Census LEHD, 2010E_MedWageWkNumber of workers earning greater than $1250/month and less than $3333/month (work location), 2010Census LEHD, 2010E_HiWageWkNumber of workers earning greater than $3333/month (work location), 2010Census LEHD, 2010E_PctLowWagePercentage low wage workers of total workers in CBG (work location), 2010Census LEHD, 2010Ac_totTotal geometric area of the CBG (in acres)US Census TIGER/Line Shapefile 2010Ac_UnprAcres of land area that is not protected from development (i.e., not a park or conservation area)Navteq 2011; PAD-US 2013Ac_LandBlock group area that is land (in acres)Navteq 2011; PAD-US 2013D1aGross residential density (HU/acre) on unprotected land, 2010Derived from SLD metricsD1bGross population density (people/acre) on unprocted land, 2010Derived from SLD metricsD1cGross employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c_Ret10Gross retail employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c5_Off10Gross office (5-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c8_Off10Gross office (8-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c_Ind10Gross industrial employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c5_Svc10Gross service (5-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c8_Svc10Gross service (8-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metrics0D1c_Ent10Gross entertainment employment density (jobs/acre) on unprotected land, 2010Census LEHD, 2010D1c8_Ed10Gross education (8-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c8_Hlth10Gross health care (8-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1c8_Pub10Gross public sector (8-tier) employment density (jobs/acre) on unprotected land, 2010Derived from SLD metricsD1dGross activity density (HU + employment / acre) on unprotected land, 2010Derived from SLD metricsD1_flagFlag to indicate D1 density metrics use land area rather than unprotected land area in denominator.Derived from SLD metricsD2a_JpHHJobs per housing unitDerived from SLD metricsD2b_E5Mix5-tier employment entropyDerived from SLD metricsD3b_E5MixA5-tier employment entropy, denominator set to the static 5 eployment types in the CBGDerived from SLD metricsD2b_E8Mix8-tier employment entropyDerived from SLD metricsD2b_E8MixA8-tier employment entropy, denominator set to the static 8 eployment types in the CBGDerived from SLD metricsD2a_EpHHm5-tier employment and household entropyDerived from SLD metricsD2c_TrpMx15-tier employment and household entropy, based on vehicle trip production and trip attractionsDerived from SLD metricsD2c_TrpMx2Employment and household entropy (excluding industrial jobs), based on trip production and attractionDerived from SLD metricsD2c_TripEqTrip production and trip attractions equilibrium index (closer to 1 = more balance)Derived from SLD metricsD2r_JobPopDeviation of CBG jobs/population ratio from regional average jobs/pop ratioDerived from SLD metricsD2a_WrkEmpHousehold workers per jobDerived from SLD metricsD2r_WrkEmpDeviation of CBG ratio of household workers/job from regional average ratio of household workers/obDerived from SLD metricsD2c_WrEmixHousehold worker per job equilibrium index (closer to one = more balanced)Derived from SLD metricsD3aTotal road network density (facility-miles per square mile)Navteq NAVSTREETS 2011D3aaoRoad network density in terms of facility miles of auto-oriented links per square mileNavteq NAVSTREETS 2011D3ammRoad network density in terms of facility miles of multi-model links per square mileNavteq NAVSTREETS 2011D3apoStreet network density in terms of facility miles of pedestrian oriented links per square mileNavteq NAVSTREETS 2011D3bWeighted intersection density per square mile (auto-oriented intersections excluded)Navteq NAVSTREETS 2011D3baoIntersection density in terms of auto-oriented intersections per square mileNavteq NAVSTREETS 2011D3bmm3Intersection density in terms of multi-model intersections having three legs per square mileNavteq NAVSTREETS 2011D3bmm4Intersection density in terms of multi-model intersections having four or more legs per square mileNavteq NAVSTREETS 2011D3bpo3Intersection density in terms of pedestrian-oriented intersections having three legs per square mileNavteq NAVSTREETS 2011D3bpo4Intersection density in terms of pedestrian-oriented intersections having four or more legs per square mileNavteq NAVSTREETS 2011D4aDistance from population weighted centroid to nearest transit stop, metersPublically available GTFS data, 2012D4b025Proportion of CBG employment within 1/4 mile of fixed guideway transit stopCensus LEHD 2010; Center for Transit Oriented Development, 2011D4b050Proportion of CBG employment within 1/2 mile of fixed guideway transit stopCensus LEHD 2010; Center for Transit Oriented Development, 2011D4cTransit service frequency. (Afternoon peak period transit departure within 0.25 miles)Publically available GTFS data, 2012D4dPeak pm transit departure within 0.25 miles of CBG, per square mileDerived from SLD metricsD5arJobs within a 45 minute drive (weighted)Census LEHD 2010; Navteq NAVSTREETS 2011D5aeWorking-age population within 45 min. drive (weighted)Census 2010; Navteq NAVSTREETS 2011D5brJobs within 45 min. transit commute (weighted)Census LEHD 2010; Publically available GTFS data, 2012D5beWorking-age population within 45 min. transit commute (weighted)Census 2010; Publically available GTFS data, 2012D5crJob accessibility (D5ar) as proportion of total regional job accessibilityDerived from SLD metricsD5criRegional centrality index (auto) - D5cr divided by max D5cr in metro region (CBSA)Derived from SLD metricsD5ceAccessibility to working-age populatin (D5ae) as proportion of total regional accessibilityDerived from SLD metricsD5ceiRegional centrality index (auto) - D5ce divided by max D5ce in metro region (CBSA)Derived from SLD metricsD5drJob accessibility by transit (D5br) as proportion of total regional job accessibility by transitDerived from SLD metricsD5driRegional centrality index (transit) - D5dr divided by max D5dr in metro region (CBSA)Derived from SLD metricsD5deAccessibility to working-age populatin by transit (D5be) as proportion of total regional accessibilityDerived from SLD metricsD5deiRegional centrality index (transit) - D5de divided by max D5de in metro region (CBSA)Derived from SLD metricsAttribute descriptions and data sources available in the SLD Guidebook.See report.John V. ThomasU.S. Environmental Protection Agency, Office of Land and Emergency ManagementEnvironmental Research Specialist202-564-66771200 Pennsylvania Avenue, NW (MC 8623R)WashingtonDC20460thomas.john@epa.govhttps://www.epa.gov/smartgrowth2021-06-22https://edg.epa.gov/EPADataCommons/public/OA/SLD/SmartLocationDatabaseV3.ziphttps://geodata.epa.gov/arcgis/rest/services/OA/SmartLocationDatabase/MapServerOGC:WMShttps://www.epa.gov/smartgrowth/smart-location-mappinghttps://www.epa.gov/smartgrowth/smart-location-database-technical-documentation-and-user-guidehttps://edg.epa.gov/EPADataCommons/public/OA/EPA_SmartLocationDatabase_V3_Jan_2021_Final.csvSmart Location Database2013-07-09US Environmental Protection AgencyU.S. EPA Office of Land and Emergency ManagementWashington, DCA large body of research has demonstrated that land use and urban form can have a significant effect on transportation outcomes. People who live and/or work in compact neighborhoods with a walkable street grid and easy access to public transit, jobs, stores, and services are more likely to have several transportation options to meet their everyday needs. As a result, they can choose to drive less, which reduces their emissions of greenhouse gases and other pollutants compared to people who live and work in places that are not location efficient. Walking, biking, and taking public transit can also save people money and improve their health by encouraging physical activity. The Smart Location Database summarizes several demographic, employment, and built environment variables for every census block group (CBG) in the United States. The database includes indicators of the commonly cited “D” variables shown in the transportation research literature to be related to travel behavior. The Ds include residential and employment density, land use diversity, design of the built environment, access to destinations, and distance to transit. SLD variables can be used as inputs to travel demand models, baseline data for scenario planning studies, and combined into composite indicators characterizing the relative location efficiency of CBG within U.S. metropolitan regions. This update features the most recent geographic boundaries (2019 Census Block Groups) and new and expanded sources of data used to calculate variables. Entirely new variables have been added and the methods used to calculate some of the SLD variables have changed. More information on the National Walkability index: https://www.epa.gov/smartgrowth/smart-location-mapping More information on the Smart Location Calculator: https://www.slc.gsa.gov/slc/ John V. ThomasU.S. Environmental Protection Agency, Office of Land and Emergency ManagementEnvironmental Protection Specialist202-564-66771200 Pennsylvania Avenue, NW (MC 8623R)WashingtonDC20460thomas.john@epa.govhttps://www.epa.gov/smartgrowthPublisherEPA Place Names2015-01-31https://ofmpub.epa.gov/sor_internet/registry/termreg/searchandretrieve/taxonomies/search.do?search=&searchString=&taxonomyName=WBT%20-%20Geographic%20LocationsWeb Taxonomy - Geographic LocationsUnited StatesEPA GIS Keyword Thesaurus2007-11-02https://ofmpub.epa.gov/sor_internet/registry/termreg/searchandretrieve/taxonomies/search.do?search=&searchString=&taxonomyName=WBT%20-%20Geographic%20LocationsEPA Metadata Technical SpecificationEnvironmentHumanLandTransportationThese data are available for public access and use and carry no restrictions. See the Smart Location Database Technical Documentation and User Guide (2021) for data sources (https://www.epa.gov/smartgrowth/smart-location-database-technical-documentation-and-user-guide), limitations, and methodologies used to calculate the variables in the Smart Location Database. Although the majority of SLD variables are consistent in the data source and calculation method to previous versions, it may not be appropriate to compare all variables with version 2.0 directly. Changes in data sources and methods are explained in detail in this guide. See the National Walkability Index User Guide and Methodology and or email SLC@gsa.gov for more information on the data and methodology of the Smart Location Calculator.true-138.21454852-12.6815164561.71101576.65223303Ground condition20102010The Smart Location Database (SLD) enables the consistent comparison of different locations across the U.S. in terms of their land use characteristics, infrastructure, and accessibility to nearby destinations. SLD attributes were selected for their utility in travel demand modeling studies. However they may also be relevant to land use scenario planning, community development, and public health studies – particularly when obtaining local data is not possible or practical. Planned updates to the SLD will summarize these environment and accessibility characteristics in the form of a Smart Location Index that represents a block group’s relative location efficiency when compared to other block groups within the same metropolitan region. https://www.epa.gov/smartgrowthThe Smart Location Database summarizes more than 90 different indicators associated with the built environment and location efficiency. Indicators include density of development, diversity of land use, street network design, and accessibility to destinations as well as various demographic and employment statistics. Most attributes are available for all U.S. block groups. This data in this map includes not only the Smart Location Database, but also data from two other public data tools that use the Smart Location Database and other inputs to measure location efficiency: EPA’s National Walkability Index provides walkability scores based on a simple formula that ranks selected indicators from the Smart Location Database that have been demonstrated to affect the propensity of walk trips. The National Walkability Index data is labeled field “NatWalkIndex”. GSA’s Smart Location Calculator is a simple tool for exploring how workplace location affects worker commute travel. Indicators include worker commute mode-share, work-related vehicle miles traveled, estimated work-related greenhouse gas emissions, and workplace accessibility via transit. The Calculator provides a Smart Location Index (SLI), which ranges in value from 0-100, where 0 indicates the least location efficient site in the region, and 100 indicates the most location efficient site. These scores are relative to the region and should not be compared across regions. The Smart Location Index data in this map is labeled as field “SLC_score”.EPA Office of Community Revitalization and EPA National Geospatial Support TeamFederal Program Inventory2013-09-16https://www.performance.gov/federalprograminventoryFederal Program Inventory020:072Unrestricted Licensehttps://edg.epa.gov/EPA_Data_License.htmlEPA Public Domain License2021-04-20T00:00:00Attribute value ranges were tested for validity. See report for full discussion of corrective measures taken.See report for full discussion of data completeness.See report for full description of processing steps.33514B4C-54F2-464A-BCC7-35F441B7E21A15000000050001.0ISO19115_3