20230308 11463400 1.0 FALSE SACOG_JUSTICE_40_NOV_2022 002 file://\\data-svr\GIS\Projects\Warren\Environmental_Justice_March_2023\Environmental_Justice_2023.gdb Local Area Network Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> ExportFeatures usa_november_2022\usa_november_2022 I:\Projects\Warren\Environmental_Justice_March_2023\Environmental_Justice_2023.gdb\SACOG_JUSTICE_40_NOV_2022 # NOT_USE_ALIAS "GEOID10 "2010 FIPS Code" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,GEOID10,0,80;SF "State/Territory" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,SF,0,80;CF "County Name" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,CF,0,80;DF_PFS "Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DF_PFS,-1,-1;AF_PFS "Current asthma among adults aged greater than or equal to 18 years (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,AF_PFS,-1,-1;HDF_PFS "Coronary heart disease among adults aged greater than or equal to 18 years (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,HDF_PFS,-1,-1;DSF_PFS "Diesel particulate matter exposure (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DSF_PFS,-1,-1;EBF_PFS "Energy burden (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,EBF_PFS,-1,-1;EALR_PFS "Expected agricultural loss rate (Natural Hazards Risk Index) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,EALR_PFS,-1,-1;EBLR_PFS "Expected building loss rate (Natural Hazards Risk Index) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,EBLR_PFS,-1,-1;EPLR_PFS "Expected population loss rate (Natural Hazards Risk Index) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,EPLR_PFS,-1,-1;HBF_PFS "Housing burden (percent) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,HBF_PFS,-1,-1;LLEF_PFS "Low life expectancy (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,LLEF_PFS,-1,-1;LIF_PFS "Linguistic isolation (percent) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,LIF_PFS,-1,-1;LMI_PFS "Low median household income as a percent of area median income (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,LMI_PFS,-1,-1;PM25F_PFS "PM2.5 in the air (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,PM25F_PFS,-1,-1;HSEF "Percent individuals age 25 or over with less than high school degree" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,HSEF,-1,-1;P100_PFS "Percent of individuals < 100% Federal Poverty Line (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,P100_PFS,-1,-1;P200_I_PFS "Percent of individuals below 200% Federal Poverty Line (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,P200_I_PFS,-1,-1;AJDLI_ET "Meets the less stringent low income criterion for the adjacency index?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,AJDLI_ET,-1,-1;LPF_PFS "Percent pre-1960s housing (lead paint indicator) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,LPF_PFS,-1,-1;KP_PFS "Share of homes with no kitchen or indoor plumbing (percent) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,KP_PFS,-1,-1;NPL_PFS "Proximity to NPL sites (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,NPL_PFS,-1,-1;RMP_PFS "Proximity to Risk Management Plan (RMP) facilities (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,RMP_PFS,-1,-1;TSDF_PFS "Proximity to hazardous waste sites (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TSDF_PFS,-1,-1;TPF "Total population" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TPF,-1,-1;TF_PFS "Traffic proximity and volume (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TF_PFS,-1,-1;UF_PFS "Unemployment (percent) (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,UF_PFS,-1,-1;WF_PFS "Wastewater discharge (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,WF_PFS,-1,-1;UST_PFS "Leaky underground storage tanks (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,UST_PFS,-1,-1;N_WTR "Critical Clean Water and Waste Infrastructure Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_WTR,-1,-1;N_WKFC "Training and Workforce Development Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_WKFC,-1,-1;N_CLT "Climate Change Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_CLT,-1,-1;N_ENY "Clean Energy and Energy Efficiency Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_ENY,-1,-1;N_TRN "Clean Transit Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_TRN,-1,-1;N_HSG "Affordable and Sustainable Housing Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_HSG,-1,-1;N_PLN "Reduction and Remediation of Legacy Pollution Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_PLN,-1,-1;N_HLTH "Health Burdens Disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_HLTH,-1,-1;SN_C "Identified as disadvantaged" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,SN_C,-1,-1;SN_T "Identified as disadvantaged due to tribal overlap" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,SN_T,0,80;DLI "Greater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,DLI,-1,-1;ALI "Greater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,ALI,-1,-1;PLHSE "Greater 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?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,PLHSE,-1,-1;LMILHSE "Greater 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?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LMILHSE,-1,-1;ULHSE "Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,ULHSE,-1,-1;EPL_ET "Greater than or equal to the 90th percentile for expected population loss" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,EPL_ET,-1,-1;EAL_ET "Greater than or equal to the 90th percentile for expected agricultural loss" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,EAL_ET,-1,-1;EBL_ET "Greater than or equal to the 90th percentile for expected building loss" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,EBL_ET,-1,-1;EB_ET "Greater than or equal to the 90th percentile for energy burden" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,EB_ET,-1,-1;PM25_ET "Greater than or equal to the 90th percentile for PM 2.5 exposure" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,PM25_ET,-1,-1;DS_ET "Greater than or equal to the 90th percentile for diesel particulate matter" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,DS_ET,-1,-1;TP_ET "Greater than or equal to the 90th percentile for traffic proximity" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,TP_ET,-1,-1;LPP_ET "Greater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentile" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LPP_ET,-1,-1;HRS_ET "Tract-level redlining score meets or exceeds 3.25" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,HRS_ET,0,80;KP_ET "Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,KP_ET,-1,-1;HB_ET "Greater than or equal to the 90th percentile for housing burden" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,HB_ET,-1,-1;RMP_ET "Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,RMP_ET,-1,-1;NPL_ET "Greater than or equal to the 90th percentile for NPL (superfund sites) proximity" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,NPL_ET,-1,-1;TSDF_ET "Greater than or equal to the 90th percentile for proximity to hazardous waste sites" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,TSDF_ET,-1,-1;WD_ET "Greater than or equal to the 90th percentile for wastewater discharge" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,WD_ET,-1,-1;UST_ET "Greater than or equal to the 90th percentile for leaky underwater storage tanks" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,UST_ET,-1,-1;DB_ET "Greater than or equal to the 90th percentile for diabetes" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,DB_ET,-1,-1;A_ET "Greater than or equal to the 90th percentile for asthma" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,A_ET,-1,-1;HD_ET "Greater than or equal to the 90th percentile for heart disease" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,HD_ET,-1,-1;LLE_ET "Greater than or equal to the 90th percentile for low life expectancy" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LLE_ET,-1,-1;UN_ET "Greater than or equal to the 90th percentile for unemployment" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,UN_ET,-1,-1;LISO_ET "Greater than or equal to the 90th percentile for households in linguistic isolation" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LISO_ET,-1,-1;POV_ET "Greater than or equal to the 90th percentile for households at or below 100% federal poverty level" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,POV_ET,-1,-1;LMI_ET "Greater than or equal to the 90th percentile for low median household income as a percent of area median income" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LMI_ET,-1,-1;IA_LMI_ET "Low median household income as a percent of territory median income in 2009 exceeds 90th percentile" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IA_LMI_ET,-1,-1;IA_UN_ET "Unemployment (percent) in 2009 exceeds 90th percentile" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IA_UN_ET,-1,-1;IA_POV_ET "Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IA_POV_ET,-1,-1;TC "Total threshold criteria exceeded" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TC,-1,-1;CC "Total categories exceeded" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,CC,-1,-1;IAULHSE "Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IAULHSE,-1,-1;IAPLHSE "Greater 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)?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IAPLHSE,-1,-1;IALMILHSE "Greater 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)?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IALMILHSE,-1,-1;IALMIL_76 "Low median household income as a percent of territory median income in 2009 (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,IALMIL_76,-1,-1;IAPLHS_77 "Percentage households below 100% of federal poverty line in 2009 for island areas (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,IAPLHS_77,-1,-1;IAULHS_78 "Unemployment (percent) in 2009 for island areas (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,IAULHS_78,-1,-1;LHE "Low high school education and low percent of higher ed students" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,LHE,-1,-1;IALHE "Low high school education in 2009 (island areas)" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IALHE,-1,-1;IAHSEF "Percent individuals age 25 or over with less than high school degree in 2009" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,IAHSEF,-1,-1;N_CLT_EOMI "At least one climate threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_CLT_EOMI,-1,-1;N_ENY_EOMI "At least one energy threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_ENY_EOMI,-1,-1;N_TRN_EOMI "At least one traffic threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_TRN_EOMI,-1,-1;N_HSG_EOMI "At least one housing threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_HSG_EOMI,-1,-1;N_PLN_EOMI "At least one pollution threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_PLN_EOMI,-1,-1;N_WTR_EOMI "At least one water threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_WTR_EOMI,-1,-1;N_HLTH_88 "At least one health threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_HLTH_88,-1,-1;N_WKFC_89 "At least one workforce threshold exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_WKFC_89,-1,-1;FPL200S "Exceeds Federal Poverty Level 200 threshold" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,FPL200S,-1,-1;N_WKFC_91 "Both workforce socioeconomic indicators exceeded" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,N_WKFC_91,-1,-1;TD_ET "Greater than or equal to the 90th percentile for DOT travel barriers" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,TD_ET,-1,-1;TD_PFS "DOT Travel Barriers Score (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TD_PFS,-1,-1;FLD_PFS "Share of properties at risk of flood in 30 years (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,FLD_PFS,-1,-1;WFR_PFS "Share of properties at risk of fire in 30 years (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,WFR_PFS,-1,-1;FLD_ET "Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,FLD_ET,-1,-1;WFR_ET "Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,WFR_ET,-1,-1;ADJ_ET "Is the tract surrounded by disadvantaged communities?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,ADJ_ET,-1,-1;IS_PFS "Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,IS_PFS,-1,-1;IS_ET "Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,IS_ET,-1,-1;AML_ET "Is there at least one abandoned mine in this census tract, where missing data is treated as False?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,AML_ET,-1,-1;FUDS_RAW "Is there at least one Formerly Used Defense Site (FUDS) in the tract?" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,FUDS_RAW,0,80;FUDS_ET "Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?" true true false 0 Long 0 0,First,#,usa_november_2022\usa_november_2022,FUDS_ET,-1,-1;IMP_FLG "Income data has been estimated (imputed) based on neighbor income" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,IMP_FLG,0,80;DM_B "Percent Black or African American" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_B,-1,-1;DM_AI "Percent American Indian / Alaska Native" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_AI,-1,-1;DM_A "Percent Asian" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_A,-1,-1;DM_HI "Percent Native Hawaiian or Pacific" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_HI,-1,-1;DM_T "Percent two or more races" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_T,-1,-1;DM_W "Percent White" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_W,-1,-1;DM_H "Percent Hispanic or Latino" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_H,-1,-1;DM_O "Percent other races" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,DM_O,-1,-1;AGE_10 "Percent age under 10" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,AGE_10,-1,-1;AGE_MIDDLE "Percent age 10 to 64" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,AGE_MIDDLE,-1,-1;AGE_OLD "Percent age over 64" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,AGE_OLD,-1,-1;TA_COU_116 "Number of Tribal areas within Census tract for Alaska" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TA_COU_116,-1,-1;TA_COUNT_C "Number of Tribal areas within Census tract" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TA_COUNT_C,-1,-1;TA_PERC "Percent of the Census tract that is within Tribal areas" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TA_PERC,-1,-1;TA_PERC_FE "Percent of the Census tract that is within Tribal areas, for display" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,TA_PERC_FE,-1,-1;UI_EXP "Methodology type used" true true false 80 Text 0 0,First,#,usa_november_2022\usa_november_2022,UI_EXP,0,80;THRHLD "Total thresholds possible" true true false 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,THRHLD,-1,-1;Shape__Area "Shape Area" false true true 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,Shape__Area,-1,-1;Shape__Length "Shape Length" false true true 0 Double 0 0,First,#,usa_november_2022\usa_november_2022,Shape__Length,-1,-1" # 20230308 11463400 20230308 11463400 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.3.36057 EJ SACOG_JUSTICE_40_NOV_2022 justice 40 justice 40 File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE SACOG_JUSTICE_40_NOV_2022 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. GEOID10 2010 FIPS Code String 80 0 0 SF State/Territory String 80 0 0 CF County Name String 80 0 0 DF_PFS Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile) Double 8 0 0 AF_PFS Current asthma among adults aged greater than or equal to 18 years (percentile) Double 8 0 0 HDF_PFS Coronary heart disease among adults aged greater than or equal to 18 years (percentile) Double 8 0 0 DSF_PFS Diesel particulate matter exposure (percentile) Double 8 0 0 EBF_PFS Energy burden (percentile) Double 8 0 0 EALR_PFS Expected agricultural loss rate (Natural Hazards Risk Index) (percentile) Double 8 0 0 EBLR_PFS Expected building loss rate (Natural Hazards Risk Index) (percentile) Double 8 0 0 EPLR_PFS Expected population loss rate (Natural Hazards Risk Index) (percentile) Double 8 0 0 HBF_PFS Housing burden (percent) (percentile) Double 8 0 0 LLEF_PFS Low life expectancy (percentile) Double 8 0 0 LIF_PFS Linguistic isolation (percent) (percentile) Double 8 0 0 LMI_PFS Low median household income as a percent of area median income (percentile) Double 8 0 0 PM25F_PFS PM2.5 in the air (percentile) Double 8 0 0 HSEF Percent individuals age 25 or over with less than high school degree Double 8 0 0 P100_PFS Percent of individuals < 100% Federal Poverty Line (percentile) Double 8 0 0 P200_I_PFS Percent of individuals below 200% Federal Poverty Line (percentile) Double 8 0 0 AJDLI_ET Meets the less stringent low income criterion for the adjacency index? Integer 4 0 0 LPF_PFS Percent pre-1960s housing (lead paint indicator) (percentile) Double 8 0 0 KP_PFS Share of homes with no kitchen or indoor plumbing (percent) (percentile) Double 8 0 0 NPL_PFS Proximity to NPL sites (percentile) Double 8 0 0 RMP_PFS Proximity to Risk Management Plan (RMP) facilities (percentile) Double 8 0 0 TSDF_PFS Proximity to hazardous waste sites (percentile) Double 8 0 0 TPF Total population Double 8 0 0 TF_PFS Traffic proximity and volume (percentile) Double 8 0 0 UF_PFS Unemployment (percent) (percentile) Double 8 0 0 WF_PFS Wastewater discharge (percentile) Double 8 0 0 UST_PFS Leaky underground storage tanks (percentile) Double 8 0 0 N_WTR Critical Clean Water and Waste Infrastructure Disadvantaged Integer 4 0 0 N_WKFC Training and Workforce Development Disadvantaged Integer 4 0 0 N_CLT Climate Change Disadvantaged Integer 4 0 0 N_ENY Clean Energy and Energy Efficiency Disadvantaged Integer 4 0 0 N_TRN Clean Transit Disadvantaged Integer 4 0 0 N_HSG Affordable and Sustainable Housing Disadvantaged Integer 4 0 0 N_PLN Reduction and Remediation of Legacy Pollution Disadvantaged Integer 4 0 0 N_HLTH Health Burdens Disadvantaged Integer 4 0 0 SN_C Identified as disadvantaged Integer 4 0 0 SN_T Identified as disadvantaged due to tribal overlap String 80 0 0 DLI Greater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students? Integer 4 0 0 ALI Greater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students? Integer 4 0 0 PLHSE Greater 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? Integer 4 0 0 LMILHSE Greater 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? Integer 4 0 0 ULHSE Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students? Integer 4 0 0 EPL_ET Greater than or equal to the 90th percentile for expected population loss Integer 4 0 0 EAL_ET Greater than or equal to the 90th percentile for expected agricultural loss Integer 4 0 0 EBL_ET Greater than or equal to the 90th percentile for expected building loss Integer 4 0 0 EB_ET Greater than or equal to the 90th percentile for energy burden Integer 4 0 0 PM25_ET Greater than or equal to the 90th percentile for PM 2.5 exposure Integer 4 0 0 DS_ET Greater than or equal to the 90th percentile for diesel particulate matter Integer 4 0 0 TP_ET Greater than or equal to the 90th percentile for traffic proximity Integer 4 0 0 LPP_ET Greater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentile Integer 4 0 0 HRS_ET Tract-level redlining score meets or exceeds 3.25 String 80 0 0 KP_ET Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen Integer 4 0 0 HB_ET Greater than or equal to the 90th percentile for housing burden Integer 4 0 0 RMP_ET Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity Integer 4 0 0 NPL_ET Greater than or equal to the 90th percentile for NPL (superfund sites) proximity Integer 4 0 0 TSDF_ET Greater than or equal to the 90th percentile for proximity to hazardous waste sites Integer 4 0 0 WD_ET Greater than or equal to the 90th percentile for wastewater discharge Integer 4 0 0 UST_ET Greater than or equal to the 90th percentile for leaky underwater storage tanks Integer 4 0 0 DB_ET Greater than or equal to the 90th percentile for diabetes Integer 4 0 0 A_ET Greater than or equal to the 90th percentile for asthma Integer 4 0 0 HD_ET Greater than or equal to the 90th percentile for heart disease Integer 4 0 0 LLE_ET Greater than or equal to the 90th percentile for low life expectancy Integer 4 0 0 UN_ET Greater than or equal to the 90th percentile for unemployment Integer 4 0 0 LISO_ET Greater than or equal to the 90th percentile for households in linguistic isolation Integer 4 0 0 POV_ET Greater than or equal to the 90th percentile for households at or below 100% federal poverty level Integer 4 0 0 LMI_ET Greater than or equal to the 90th percentile for low median household income as a percent of area median income Integer 4 0 0 IA_LMI_ET Low median household income as a percent of territory median income in 2009 exceeds 90th percentile Integer 4 0 0 IA_UN_ET Unemployment (percent) in 2009 exceeds 90th percentile Integer 4 0 0 IA_POV_ET Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile Integer 4 0 0 TC Total threshold criteria exceeded Double 8 0 0 CC Total categories exceeded Double 8 0 0 IAULHSE Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)? Integer 4 0 0 IAPLHSE Greater 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)? Integer 4 0 0 IALMILHSE Greater 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)? Integer 4 0 0 IALMIL_76 Low median household income as a percent of territory median income in 2009 (percentile) Double 8 0 0 IAPLHS_77 Percentage households below 100% of federal poverty line in 2009 for island areas (percentile) Double 8 0 0 IAULHS_78 Unemployment (percent) in 2009 for island areas (percentile) Double 8 0 0 LHE Low high school education and low percent of higher ed students Integer 4 0 0 IALHE Low high school education in 2009 (island areas) Integer 4 0 0 IAHSEF Percent individuals age 25 or over with less than high school degree in 2009 Double 8 0 0 N_CLT_EOMI At least one climate threshold exceeded Integer 4 0 0 N_ENY_EOMI At least one energy threshold exceeded Integer 4 0 0 N_TRN_EOMI At least one traffic threshold exceeded Integer 4 0 0 N_HSG_EOMI At least one housing threshold exceeded Integer 4 0 0 N_PLN_EOMI At least one pollution threshold exceeded Integer 4 0 0 N_WTR_EOMI At least one water threshold exceeded Integer 4 0 0 N_HLTH_88 At least one health threshold exceeded Integer 4 0 0 N_WKFC_89 At least one workforce threshold exceeded Integer 4 0 0 FPL200S Exceeds Federal Poverty Level 200 threshold Integer 4 0 0 N_WKFC_91 Both workforce socioeconomic indicators exceeded Integer 4 0 0 TD_ET Greater than or equal to the 90th percentile for DOT travel barriers Integer 4 0 0 TD_PFS DOT Travel Barriers Score (percentile) Double 8 0 0 FLD_PFS Share of properties at risk of flood in 30 years (percentile) Double 8 0 0 WFR_PFS Share of properties at risk of fire in 30 years (percentile) Double 8 0 0 FLD_ET Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years Integer 4 0 0 WFR_ET Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years Integer 4 0 0 ADJ_ET Is the tract surrounded by disadvantaged communities? Integer 4 0 0 IS_PFS Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile) Double 8 0 0 IS_ET Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income? Integer 4 0 0 AML_ET Is there at least one abandoned mine in this census tract, where missing data is treated as False? Integer 4 0 0 FUDS_RAW Is there at least one Formerly Used Defense Site (FUDS) in the tract? String 80 0 0 FUDS_ET Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False? Integer 4 0 0 IMP_FLG Income data has been estimated (imputed) based on neighbor income String 80 0 0 DM_B Percent Black or African American Double 8 0 0 DM_AI Percent American Indian / Alaska Native Double 8 0 0 DM_A Percent Asian Double 8 0 0 DM_HI Percent Native Hawaiian or Pacific Double 8 0 0 DM_T Percent two or more races Double 8 0 0 DM_W Percent White Double 8 0 0 DM_H Percent Hispanic or Latino Double 8 0 0 DM_O Percent other races Double 8 0 0 AGE_10 Percent age under 10 Double 8 0 0 AGE_MIDDLE Percent age 10 to 64 Double 8 0 0 AGE_OLD Percent age over 64 Double 8 0 0 TA_COU_116 Number of Tribal areas within Census tract for Alaska Double 8 0 0 TA_COUNT_C Number of Tribal areas within Census tract Double 8 0 0 TA_PERC Percent of the Census tract that is within Tribal areas Double 8 0 0 TA_PERC_FE Percent of the Census tract that is within Tribal areas, for display Double 8 0 0 UI_EXP Methodology type used String 80 0 0 THRHLD Total thresholds possible Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. 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