University of Florida - GeoPlan Center20220601Vector 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/The purpose of this dataset is to provide Justice40 Initiative data to be used by the Justice40 Screening tool. The purpose of the tool is to help Federal agencies identify disadvantaged communities that are marginalized, underserved, and overburdened by pollution. The current version of the tool provides socioeconomic, environmental, and climate information to inform decisions that may affect these communities. The tool identifies disadvantaged communities through publicly-available, nationally-consistent datasets.20220601publication dateCompleteUnknown-87.639357-79.81221531.04264124.354695ISO 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 physical

431 Architecture Building

GainesvilleFl32611352-392-8686Screeningtool-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 Centerdownloaded on 6/10/22 from: https://static-data-screeningtool.geoplatform.gov/data-pipeline/data/score/shapefile/usa.zip (zip data was from 20220601). extract Florida. reproject to epsg=3087. changed field names to be logical and consistent with other versions of the layer. added fields: USDOT: based on value from JUSTICE_40_USDOT_MAY22 USDOT_MATCH: Y/N based on 'USDOT=SM_C' FGDLAQDATE: DESCRIPT based on 'SM_C' (text version) AUTOIDGeoPlan20220623VectorGT-polygon composed of chains4245NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101JUSTICE_40_TRACT_JUN22JUSTICE_40_TRACT_JUN22University of Florida - GeoPlan CenterOBJECTIDOBJECTIDEsriSequential unique whole numbers that are automatically generated.ShapeShapeEsriCoordinates defining the features.GEOID10GEOID10SFState/TerritoryCFCounty NameDF_PFSDiagnosed diabetes among adults aged greater than or equal to 18 years (percentile)AF_PFSCurrent asthma among adults aged greater than or equal to 18 years (percentile)HDF_PFSCoronary heart disease among adults aged greater than or equal to 18 years (percentile)DSF_PFSDiesel particulate matter exposure (percentile)EBF_PFSEnergy burden (percentile)EALR_PFSExpected agricultural loss rate (Natural Hazards Risk Index) (percentile)EBLR_PFSExpected building loss rate (Natural Hazards Risk Index) (percentile)EPLR_PFSExpected population loss rate (Natural Hazards Risk Index) (percentile)HBF_PFSHousing burden (percent) (percentile)LLEF_PFSLow life expectancy (percentile)LIF_PFSLinguistic isolation (percent) (percentile)LMI_PFSLow median household income as a percent of area median income (percentile)MHVF_PFSMedian value ($) of owner-occupied housing units (percentile)PM25F_PFSPM2.5 in the air (percentile)HSEFPercent individuals age 25 or over with less than high school degreeP100_PFSPercent of individuals Less Than 100% Federal Poverty Line (percentile)P200_PFSPercent of individuals below 200% Federal Poverty Line (percentile)LPF_PFSPercent pre-1960s housing (lead paint indicator) (percentile)NPL_PFSProximity to NPL sites (percentile)RMP_PFSProximity to Risk Management Plan (RMP) facilities (percentile)TSDF_PFSProximity to hazardous waste sites (percentile)TPFTotal populationTF_PFSTraffic proximity and volume (percentile)UF_PFSUnemployment (percent) (percentile)WF_PFSWastewater discharge (percentile)M_WTRWater Factor (Definition M)M_WKFCWorkforce Factor (Definition M)M_CLTClimate Factor (Definition M)M_ENYEnergy Factor (Definition M)M_TRNTransportation Factor (Definition M)M_HSGHousing Factor (Definition M)M_PLNPollution Factor (Definition M)M_HLTHHealth Factor (Definition M)SM_CDefinition M (communities)SM_PFSDefinition M (percentile)EPLRLIGreater than or equal to the 90th percentile for expected population loss rate, is low income, and has a low percent of higher ed students?EALRLIGreater than or equal to the 90th percentile for expected agriculture loss rate, is low income, and has a low percent of higher ed students?EBLRLIGreater than or equal to the 90th percentile for expected building loss rate, is low income, and has a low percent of higher ed students?PM25LIGreater than or equal to the 90th percentile for PM2.5 exposure, is low income, and has a low percent of higher ed students?EBLIGreater than or equal to the 90th percentile for energy burden, is low income, and has a low percent of higher ed students?DPMLIGreater than or equal to the 90th percentile for diesel particulate matter, is low income, and has a low percent of higher ed students?TPLIGreater than or equal to the 90th percentile for traffic proximity, is low income, and has a low percent of higher ed students?LPMHVLIGreater than or equal to the 90th percentile for lead paint, the median house value is less than 90th percentile, is low income, and has a low percent of higher ed students?HBLIGreater than or equal to the 90th percentile for housing burden, is low income, and has a low percent of higher ed students?RMPLIGreater than or equal to the 90th percentile for proximity to RMP sites, is low income, and has a low percent of higher ed students?SFLIGreater than or equal to the 90th percentile for proximity to superfund sites, is low income, and has a low percent of higher ed students?HWLIGreater than or equal to the 90th percentile for proximity to hazardous waste facilities, is low income, and has a low percent of higher ed students?WDLIGreater than or equal to the 90th percentile for wastewater discharge, is low income, and has a low percent of higher ed students?DLIGreater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?ALIGreater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?HDLIGreater than or equal to the 90th percentile for heart disease, is low income, and has a low percent of higher ed students?LLELIGreater than or equal to the 90th percentile for low life expectancy, is low income, and has a low percent of higher ed students?LILHSEGreater than or equal to the 90th percentile for households in linguistic isolation, has low HS attainment, and has a low percent of higher ed students?PLHSEGreater than or equal to the 90th percentile for households at or below 100% federal poverty level, has low HS attainment, and has a low percent of higher ed students?LMILHSEGreater than or equal to the 90th percentile for low median household income as a percent of area median income, has low HS attainment, and has a low percent of higher ed students?ULHSEGreater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?EPL_ETGreater than or equal to the 90th percentile for expected population lossEAL_ETGreater than or equal to the 90th percentile for expected agricultural lossEBL_ETGreater than or equal to the 90th percentile for expected building lossEB_ETGreater than or equal to the 90th percentile for energy burdenPM25_ETGreater than or equal to the 90th percentile for pm2.5 exposureDS_ETGreater than or equal to the 90th percentile for diesel particulate matterTP_ETGreater than or equal to the 90th percentile for traffic proximityLPP_ETGreater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentileHB_ETGreater than or equal to the 90th percentile for housing burdenRMP_ETGreater than or equal to the 90th percentile for RMP proximityNPL_ETGreater than or equal to the 90th percentile for NPL (superfund sites) proximityTSDF_ETGreater than or equal to the 90th percentile for proximity to hazardous waste sitesWD_ETGreater than or equal to the 90th percentile for wastewater dischargeDB_ETGreater than or equal to the 90th percentile for diabetesA_ETGreater than or equal to the 90th percentile for asthmaHD_ETGreater than or equal to the 90th percentile for heart diseaseLLE_ETGreater than or equal to the 90th percentile for low life expectancyUN_ETGreater than or equal to the 90th percentile for unemploymentLISO_ETGreater than or equal to the 90th percentile for households in linguistic isolationPOV_ETGreater than or equal to the 90th percentile for households at or below 100% federal poverty levelLMI_ETGreater than or equal to the 90th percentile for low median household income as a percent of area median incomeIA_LMI_ETLow median household income as a percent of territory median income in 2009 exceeds 90th percentileIA_UN_ETUnemployment (percent) in 2009 exceeds 90th percentileIA_POV_ETPercentage households below 100% of federal poverty line in 2009 exceeds 90th percentileTCTotal threshold criteria exceededCCTotal categories exceededIAULHSEGreater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?IAPLHSEGreater than or equal to the 90th percentile for households at or below 100% federal poverty level and has low HS education in 2009 (island areas)?IALMILHSEGreater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?IALMIL_87Low median household income as a percent of territory median income in 2009 (percentile)IAPLHS_88Percentage households below 100% of federal poverty line in 2009 for island areas (percentile)IAULHS_89Unemployment (percent) in 2009 for island areas (percentile)LHELow high school education and low percent of higher ed studentsIALHELow high school education in 2009 (island areas)IAHSEFPercent individuals age 25 or over with less than high school degree in 2009CAPercent enrollment in college or graduate schoolNCAPercent of population not currently enrolled in college or graduate schoolCA_LT20Percent higher ed enrollment rate is less than 20%M_CLT_EOMIAt least one climate threshold exceededM_ENY_EOMIAt least one energy threshold exceededM_TRN_EOMIAt least one traffic threshold exceededM_HSG_EOMIAt least one housing threshold exceededM_PLN_EOMIAt least one pollution threshold exceededM_WTR_EOMIAt least one water threshold exceededM_HLTH_102At least one health threshold exceededM_WKFC_103At least one workforce threshold exceededFPL200SIs low income?M_WKFC_105Both workforce socioeconomic indicators exceededM_EBSIIs low income and has a low percent of higher ed students?UI_EXPUI_EXPTHRHLDTHRHLDUSDOTUSDOTUSDOT_MATCHUSDOT_MATCHDESCRIPTBased on 'OVERALLDIS' - converted number to text descriptFGDLAQDATEDate GeoPlan acquired from source.AUTOIDUnique ID added by GeoPlanSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.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 physical

431 Architecture Building

GainesvilleFl32611352-392-8686data@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 (White House) - June 20222022-06-01Univesrity of Fl - GeoPlan CenterGainesville, FlUniversity of Florida - GeoPlan CenterVector 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/The purpose of this dataset is to provide Justice40 Initiative data to be used by the Justice40 Screening tool. The purpose of the tool is to help Federal agencies identify disadvantaged communities that are marginalized, underserved, and overburdened by pollution. The current version of the tool provides socioeconomic, environmental, and climate information to inform decisions that may affect these communities. The tool identifies disadvantaged communities through publicly-available, nationally-consistent datasets.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 10.8.1.14362-87.639357-79.81221524.35469531.042641publication date2022-06-01This 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 GeoPlandownloaded on 6/10/22 from: https://static-data-screeningtool.geoplatform.gov/data-pipeline/data/score/shapefile/usa.zip (zip data was from 20220601). extract Florida. reproject to epsg=3087. changed field names to be logical and consistent with other versions of the layer. added fields: USDOT: based on value from JUSTICE_40_USDOT_MAY22 USDOT_MATCH: Y/N based on 'USDOT=SM_C' FGDLAQDATE: DESCRIPT based on 'SM_C' (text version) AUTOID2022-06-23GeoPlanUniversity of Florida - GeoPlan Center0424520220624094751001.0original 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