University of Florida - GeoPlan Center20220311Climate and Economic Justice Screening Tool Census Tract Level Data in Florida - February 2022Vector Digital Data Set (Polygon)State 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 in FDOT's Environmental Screening Tool (EST).20220201UnknownUnknown-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.htmlUniversity of Florida - GeoPlan CenterAlexis ThomasDirectormailing and physical431 Architecture BuildingGainesvilleFl32611n/adata@fgdl.org 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 GeoPlanprocess steps: https://screeningtool.geoplatform.gov/en/methodology download csv (last updated 2/18/22) from: https://d3jqyw10j8e7p9.cloudfront.net/data-pipeline/data/score/downloadable/Screening_Tool_Data.zip -extract FL tracts -delete fields related to islands -reproject -field names are too long (descriptive) -create new field names (see Justice40_fields.xlsx, tab=field crosswalk) name convention: Category acronym+variable name acronym Variables: PCT (Percent) PCTL (Percentile) DIS (Disadvantaged) - binary field IDX (Index) download EPA EJScreen tract data: https://gaftp.epa.gov/EJSCREEN/2021/EJSCREEN_2021_USPR_Tracts.gdb.zip -extract FL tracts -drop all fields except ID (=GEOID10) Join FL Justice 40 data w/ EPA EJScreen tractsGeoPlan20220310VectorGT-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_FEB22JUSTICE_40_TRACT_FEB22University of Florida - GeoPlan CenterOBJECTIDOBJECTIDEsriSequential unique whole numbers that are automatically generated.GEOID10GEOID10_TRACTCOUNTYCounty NameSTATEState-TerritoryTOTAL_THRESHOLDTotal threshold criteria exceededDISADVANTAGEDIdentified as disadvantaged (v0.1)TOTALPOPTotal populationEDIs low income and has a low percent of higher ed students?ED_PCTPercent enrollment in college or graduate schoolED_20_PCTPercent higher ed enrollment rate is less than 20%CC_AG_DISGreater than or equal to the 90th percentile for expected agriculture loss rate, is low income, and has a low percent of higher ed students?CC_AG_PCTLExpected agricultural loss rate (Natural Hazards Risk Index) (percentile)CC_AG_IDXExpected agricultural loss rate (Natural Hazards Risk Index)CC_BLDG_DISGreater than or equal to the 90th percentile for expected building loss rate, is low income, and has a low percent of higher ed students?CC_BLDG_PCTLExpected building loss rate (Natural Hazards Risk Index) (percentile)CC_BLDG_IDXExpected building loss rate (Natural Hazards Risk Index)CC_POP_DISGreater than or equal to the 90th percentile for expected population loss rate, is low income, and has a low percent of higher ed students?CC_POP_PCTLExpected population loss rate (Natural Hazards Risk Index) (percentile)CC_POP_IDXExpected population loss rate (Natural Hazards Risk Index)CE_EB_DISGreater than or equal to the 90th percentile for energy burden, is low income, and has a low percent of higher ed students?CE_EB_PCTLEnergy burden (percentile)CE_EBEnergy burdenCE_PM2_DISGreater than or equal to the 90th percentile for PM2.5 exposure, is low income, and has a low percent of higher ed students?CE_PM2_PCTLPM2.5 in the air (percentile)CE_PM2PM2.5 in the airCT_DP_DISGreater than or equal to the 90th percentile for diesel particulate matter, is low income, and has a low percent of higher ed students?CT_DP_PCTLDiesel particulate matter exposure (percentile)CT_DPDiesel particulate matter exposureCT_TPV_DISGreater than or equal to the 90th percentile for traffic proximity, is low income, and has a low percent of higher ed students?CT_TPV_PCTLTraffic proximity and volume (percentile)CT_TPVTraffic proximity and volumeASH_HB_DISGreater than or equal to the 90th percentile for housing burden, is low income, and has a low percent of higher ed students?ASH_HB_PCTLHousing burden (percent) (percentile)ASH_HB_PCTHousing burden (percent)ASH_LP_DISGreater 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?ASH_LP_PCTLPercent pre-1960s housing (lead paint indicator) (percentile)ASH_LP_PCTPercent pre-1960s housing (lead paint indicator)ASH_MV_PCTLMedian value ($) of owner-occupied housing units (percentile)ASH_MVMedian value ($) of owner-occupied housing unitsRR_HW_DISGreater 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?RR_HW_PCTLProximity to hazardous waste sites (percentile)RR_HWProximity to hazardous waste sitesRR_NPL_DISGreater than or equal to the 90th percentile for proximity to superfund sites, is low income, and has a low percent of higher ed students?RR_NPL_PCTLProximity to NPL sites (percentile)RR_NPLProximity to NPL sitesRR_RMP_DISGreater than or equal to the 90th percentile for proximity to RMP sites, is low income, and has a low percent of higher ed students?RR_RMP_PCTLProximity to Risk Management Plan (RMP) facilities (percentile)RR_RMPProximity to Risk Management Plan (RMP) facilitiesINF_WW_DISGreater than or equal to the 90th percentile for wastewater discharge, is low income, and has a low percent of higher ed students?INF_WW_PCTLWastewater discharge (percentile)INF_WWWastewater dischargeHB_AST_DISGreater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?HB_AST_PCTLCurrent asthma among adults aged greater than or equal to 18 years (percentile)HB_ASTCurrent asthma among adults aged greater than or equal to 18 yearsHB_DIA_DISGreater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?HB_DIA_PCTLDiagnosed diabetes among adults aged greater than or equal to 18 years (percentile)HB_DIADiagnosed diabetes among adults aged greater than or equal to 18 yearsHB_CHD_DISGreater than or equal to the 90th percentile for heart disease, is low income, and has a low percent of higher ed students?HB_CHD_PCTLCoronary heart disease among adults aged greater than or equal to 18 years (percentile)HB_CHDCoronary heart disease among adults aged greater than or equal to 18 yearsHB_LLE_DISGreater than or equal to the 90th percentile for low life expectancy, is low income, and has a low percent of higher ed students?HB_LLE_PCTLLow life expectancy (percentile)HB_LLELife expectancy (years)TWD_DISGreater 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?TWD_LMH_PCTLLow median household income as a percent of area median income (percentile)TWD_MH_PCTMedian household income as a percent of area median incomeTWD_LI_DISGreater 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?TWD_LI_PCTLLinguistic isolation (percent) (percentile)TWD_LI_PCTLinguistic isolation (percent)TWD_UNE_DISGreater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?TWD_UNE_PCTLUnemployment (percent) (percentile)TWD_UNE_PCTUnemployment (percent)TWD_100_DISGreater 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?TWD_200_PCTLPercent of individuals below 200% Federal Poverty Line (percentile)TWD_100_PCTLPercent of individuals Less Than 100% Federal Poverty Line (percentile)TWD_200_PCTPercent of individuals below 200% Federal Poverty LineTWD_100_PCTPercent of individuals Less Than 100% Federal Poverty LineTWD_HSD_PCTLPercent individuals age 25 or over with less than high school degree (percentile)TWD_HSD_PCTPercent individuals age 25 or over with less than high school degreeDESCRIPTGeoPlan added item based on TOTAL_THRESHOLDFGDLAQDATEDate GeoPlan acquired from source.SHAPESHAPEEsriCoordinates defining the features.AUTOIDSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.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.html20220312University of Florida - GeoPlan CenterAlexis ThomasDirectormailing and physical431 Architecture BuildingGainesvilleFl32611n/adata@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeAlexis ThomasUniversity of Florida - GeoPlan CenterDirectorn/a431 Architecture BuildingGainesvilleFl32611data@fgdl.org20220312ArcGIS 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 - February 20222022-03-11University 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 in FDOT's Environmental Screening Tool (EST).Alexis ThomasUniversity of Florida - GeoPlan CenterDirectorn/a431 Architecture BuildingGainesvilleFl32611data@fgdl.orgboundariesISO 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 10.8.1.14362-87.639357-79.81221524.35469531.042641Unknown2022-02-01This 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 GeoPlanprocess steps: https://screeningtool.geoplatform.gov/en/methodology download csv (last updated 2/18/22) from: https://d3jqyw10j8e7p9.cloudfront.net/data-pipeline/data/score/downloadable/Screening_Tool_Data.zip -extract FL tracts -delete fields related to islands -reproject -field names are too long (descriptive) -create new field names (see Justice40_fields.xlsx, tab=field crosswalk) name convention: Category acronym+variable name acronym Variables: PCT (Percent) PCTL (Percentile) DIS (Disadvantaged) - binary field IDX (Index) download EPA EJScreen tract data: https://gaftp.epa.gov/EJSCREEN/2021/EJSCREEN_2021_USPR_Tracts.gdb.zip -extract FL tracts -drop all fields except ID (=GEOID10) Join FL Justice 40 data w/ EPA EJScreen tracts2022-03-10GeoPlan424520220312095350001.0original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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