University of Florida - GeoPlan Center20220510Climate and Economic Justice Screening Tool Census Tract Level Data in Florida (USDOT) - May 2022Vector Digital Data Set (Polygon)Gainesville, FlUnivesrity of Fl - GeoPlan CenterState of Floridawww.fgdl.orgThis dataset represents communities that are disadvantaged for the purposes of the Justice40 Initiative using US Census Tracts. Communities are identified as disadvantaged for the Justice40 Initiative if they are located in Census Tracts that are at or above the combined thresholds in one or more of eight categories: Climate change, Clean energy and energy efficiency, Clean transit, Affordable and sustainable housing, Reduction and remediation of legacy pollution, Critical clean water and waste infrastructure, Health burdens, Training and workforce development. For more information https://screeningtool.geoplatform.gov/As part of DOT’s work in implementing the Justice40 Initiative, the Department developed a definition for disadvantaged communities (“DACs”) to be utilized in connection with certain criteria under Justice40-covered grant programs. In order to help grant applicants determine whether the locations of their proposed projects were in a DAC, the Department created an interim mapping tool which went live on January 28, 2022. The Department subsequently conducted a data audit and found that the mapping tool had data errors affecting approximately 11% of U.S. Census tracts. As of May 6, 2022, the DAC designations in the mapping tool are correct and available for public use in connection with Justice40-covered programs. The Department has also inventoried grant applications which have open notices of funding opportunity that referred to this tool and is contacting program applicants directly to notify them of this update and will assist with any corrections needed to their applications. Other users of this data may wish to revisit the site and update any analyses based on the mapping tool. The Department apologizes for any inconvenience or confusion this error has caused.20220510publication dateUnknown-87.639412-79.87233931.04264524.482175ISO 19115 Topic CategoryboundariesNoneThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlUnivesrity of Fl - GeoPlan CenterAlexis ThomasManagermailing and physical431 Architecture BuildingGainesvilleFl32611352-392-8686Screeningtool-Support@omb.eop.gov Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan0onLineUniversity of Florida - GeoPlan CenterDownload Transportation Disadvantaged Census Tracts shapefile (version 2 .0, posted 5/10/22) from: https://www.transportation.gov/sites/dot.gov/files/Shapefile_and_Metadata.zip Extract Florida. Reproject to epsg=3087. Added DESCRIPT based on 'OVERALLDIS' - converted number to text descriptGeoPlan20220623VectorGT-polygon composed of chains4212NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101JUSTICE_40_USDOT_MAY22JUSTICE_40_TRACT_JUN22University of Florida - GeoPlan CenterOBJECTIDOBJECTIDEsriSequential unique whole numbers that are automatically generated.STState FIPS codeSTATEState NameCOUNTY_FIPSCounty FIPS CodeST_ABBRState AbbreviationCOUNTYCOUNTYTRACT_FIPSCensus Tract FIPS CodeLOCATIONText description of tractAREA_SQMIArea - Sq MilesE_TOTPOPPopulation estimate, 2014-2018 ACSTOTAL_WORKERSTotal workers 16 or older in a census tractNON_TRANSIT_USERSNumber of non-transit workersTRANSIT_USERSNumber of transit users 16 and overEST_VMILESAverage weekday vehicle miles traveled per stateEST_ANNUAL_VMILESCalculated Average Annual Vehicle Miles TraveledAVG_ANNUAL_MEDIAN_EARNINGSAverage Annual Median EarningsFIVE_YEAR_AVERAGE_PRICE_OF_GASFive Year average price of gas per stateHIGHWAY_MPGFive year average gas mileage per stateMEAN_ANNUAL_TRAVEL_TIME_MINUTEAnnual Travel Time in MinutesMEAN_ANNUAL_TRAVEL_TIME_HOURSAnnual Travel Time in HoursAVERAGE_AUTOSCalculated average number of cars per householdAVERAGE_ANNUAL_TRANSPORTATION_Calculated average annual cost of transportationAVERAGE_ANNUAL_AUTOS_COSTCalculated average cost of owning a carTRAVEL_TIME_COSTTravel Time CostAVERAGE_ANNUAL_TRANSIT_COSTCalculated national average annual cost of using transitTRANSPORTATION_DISADVANTAGE_PECalculated average annual cost of transportation as a percent of incomeZERO_VEHICLESPercentage of non-transit households who have 0 vehiclesEPL_NOVEHPercentile percentage households with no vehicle available estimateONE_VEHICLESPercentage of non-transit households who have 1 vehiclesTWO_VEHICLESPercentage of non-transit households who have 2 vehiclesTHREE_VEHICLESPercentage of non-transit households who have 3+ vehiclesEPL_COMMUTEPercentile of Mean commute time to work (in minutes)EPL_TCBPercentile of Transportation Cost BurdenNWKINational Walkability IndexEPL_NWKINational Walkability Index PercentileTRANSP_THAverage of Transportation Indicator Percentiles (calculated)EPL_AGE65Percentile percentage of persons aged 65 and older estimateEP_UNINSURAdjunct variable - Percentage uninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEPL_UNINSURPercentile percentage uninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEPL_DISABLPercentile percentage of civilian noninstitutionalized population with a disability estimateHEALTH_THAverage of Health Indicator Percentiles (calculated)EPL_NOHSDPPercentile Percentage of persons with no high school diploma (age 25+) estimateB25003_C_2Overall Renter Rate: Percent of Occupied Housing Units that are Renter-OccupiedEPL_RENTERPercentile Overall Renter Rate: Percent of Occupied Housing Units that are Renter-OccupiedEPL_UNEMPPercentile Percentage of civilian (age 16+) unemployed estimateEPL_PCIPercentile per capita income estimateEPL_POVPercentile Percentage of persons below poverty estimateGINIGINI Index (RAPT)EPL_GINIGINI Index Percentile (calculated)*B25106_001ETotal housing unitsB25106_002ETotal Owner-occupied housing unitsB25106_006EOwner-occupied housing units - Less than $20,000 - 30 percent or moreB25106_010EOwner-occupied housing units - $20,000 to $34,999 - 30 percent or moreB25106_014EOwner-occupied housing units - $35,000 to $49,999 - 30 percent or moreB25106_018EOwner-occupied housing units - $50,000 to $74,999 - 30 percent or moreB25106_022EOwner-occupied housing units - $75,000 or more - 30 percent or moreB25106_024ERenter-occupied housing unitsB25106_028ERenter-occupied housing units - Less than $20,000 - 30 percent or moreB25106_032ERenter-occupied housing units - $20,000 to $34,999 - 30 percent or moreB25106_036ERenter-occupied housing units - $35,000 to $49,999 - 30 percent or moreB25106_040ERenter-occupied housing units - $50,000 to $74,999 - 30 percent or moreB25106_044ERenter-occupied housing units - $75,000 or more - 30 percent or moreP_HUCBPercent of Household Units with 30 percent or more income towards housing costEPL_HUCBPercentile Percent of Household Units with 30 percent or more income towards housing costECONOMY_THAverage of Economy Indicator Percentiles (calculated)EPL_LIMENGPercentile percentage of persons (age 5+) who speak English 'less than well' estimateEQUITY_THAverage of Social and Equity Indicator Percentiles (calculated)RESILIENCEResilience Indicator (NRI)P_LDPNTPercentile for % pre-1960 housing (lead paint indicator)P_DSLPMPercentile for Diesel particulate matter level in airP_CANCRPercentile for Air toxics cancer riskP_RESPPercentile for Air toxics respiratory hazard indexP_OZONEPercentile for Ozone level in airP_PM25Percentile for PM2.5 level in airENVIRO_THAverage of Environmental IndicatorsTRANSPORTATIONDISTransportation Disadvantage IndicatorHEALTHDISHealth Disadvantage IndicatorECONOMYDISEconomy Disadvantage IndicatorEQUITYDISEquity Disadvantage IndicatorRESILIENCEDISResilience Disadvantage IndicatorENVIRODISEnvironmental Disadvantage IndicatorSUMDISSum of Disadvantage IndicatorsOVERALLDISOverall Disadvantage IndicatorDESCRIPTGeoPlan added field on 'OVERALLDIS'FGDLAQDATEDate GeoPlan acquired from sourceAUTOIDGeoPlan added IDSHAPESHAPEEsriCoordinates defining the features.SHAPE.AREASHAPE.AREASHAPE.LENSHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html20220624University of Florida - GeoPlan CenterAlexis ThomasManagermailing and physical431 Architecture BuildingGainesvilleFl32611352-392-8686data@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeAlexis ThomasUniversity of Florida - GeoPlan CenterManager352-392-8686431 Architecture BuildingGainesvilleFl32611data@fgdl.org20220624ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAwww.fgdl.orgClimate and Economic Justice Screening Tool Census Tract Level Data in Florida (USDOT) - May 20222022-05-10University of Florida - GeoPlan CenterUnivesrity of Fl - GeoPlan CenterGainesville, FlVector Digital Data Set (Polygon)State of FloridaThis dataset represents communities that are disadvantaged for the purposes of the Justice40 Initiative using US Census Tracts. Communities are identified as disadvantaged for the Justice40 Initiative if they are located in Census Tracts that are at or above the combined thresholds in one or more of eight categories: Climate change, Clean energy and energy efficiency, Clean transit, Affordable and sustainable housing, Reduction and remediation of legacy pollution, Critical clean water and waste infrastructure, Health burdens, Training and workforce development. For more information https://screeningtool.geoplatform.gov/As part of DOT’s work in implementing the Justice40 Initiative, the Department developed a definition for disadvantaged communities (“DACs”) to be utilized in connection with certain criteria under Justice40-covered grant programs. In order to help grant applicants determine whether the locations of their proposed projects were in a DAC, the Department created an interim mapping tool which went live on January 28, 2022. The Department subsequently conducted a data audit and found that the mapping tool had data errors affecting approximately 11% of U.S. Census tracts. As of May 6, 2022, the DAC designations in the mapping tool are correct and available for public use in connection with Justice40-covered programs. The Department has also inventoried grant applications which have open notices of funding opportunity that referred to this tool and is contacting program applicants directly to notify them of this update and will assist with any corrections needed to their applications. Other users of this data may wish to revisit the site and update any analyses based on the mapping tool. The Department apologizes for any inconvenience or confusion this error has caused.Alexis ThomasUnivesrity of Fl - GeoPlan CenterManager352-392-8686431 Architecture BuildingGainesvilleFl32611Screeningtool-Support@omb.eop.govboundariesISO 19115 Topic CategoryboundariesThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.639412-79.87233924.48217531.042645publication date2022-05-10This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanDownload Transportation Disadvantaged Census Tracts shapefile (version 2 .0, posted 5/10/22) from: https://www.transportation.gov/sites/dot.gov/files/Shapefile_and_Metadata.zip Extract Florida. 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