Name: Federal Climate Justice and Economic Justice Screening Tool

Display Field: GEOID10

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data highlights disadvantaged census tracts within Mariposa County. Communities are considered disadvantaged:</SPAN></P><P><SPAN>If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, or</SPAN></P><P><SPAN>If they are on land within the boundaries of Federally Recognized Tribes</SPAN></P><P><SPAN>The tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.</SPAN></P><P><SPAN>In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.</SPAN></P></DIV></DIV></DIV>

Service Item Id: 76f782b4244d4a66b312f38ecbf94bf6

Copyright Text: Council on Environmental Quality (CEQ) Data Processed and Published by Marty Delgado - GIS Analyst Contact Information: William Edmonson, GISP, Assistant GIS Manager Fehr & Peers w.edmonson@fehrandpeers.com - 916-262-7394 Marty Delgado, GIS Analyst m.delgado@fehrandpeers.com - 916-262-7429

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Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• GEOID10 ( type: esriFieldTypeString, alias: GEOID10, length: 80 )
• SF ( type: esriFieldTypeString, alias: State/Territory, length: 80 )
• CF ( type: esriFieldTypeString, alias: County Name, length: 80 )
• DF_PFS ( type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile) )
• AF_PFS ( type: esriFieldTypeDouble, alias: Current asthma among adults aged greater than or equal to 18 years (percentile) )
• HDF_PFS ( type: esriFieldTypeDouble, alias: Coronary heart disease among adults aged greater than or equal to 18 years (percentile) )
• DSF_PFS ( type: esriFieldTypeDouble, alias: Diesel particulate matter exposure (percentile) )
• EBF_PFS ( type: esriFieldTypeDouble, alias: Energy burden (percentile) )
• EALR_PFS ( type: esriFieldTypeDouble, alias: Expected agricultural loss rate (Natural Hazards Risk Index) (percentile) )
• EBLR_PFS ( type: esriFieldTypeDouble, alias: Expected building loss rate (Natural Hazards Risk Index) (percentile) )
• EPLR_PFS ( type: esriFieldTypeDouble, alias: Expected population loss rate (Natural Hazards Risk Index) (percentile) )
• HBF_PFS ( type: esriFieldTypeDouble, alias: Housing burden (percent) (percentile) )
• LLEF_PFS ( type: esriFieldTypeDouble, alias: Low life expectancy (percentile) )
• LIF_PFS ( type: esriFieldTypeDouble, alias: Linguistic isolation (percent) (percentile) )
• LMI_PFS ( type: esriFieldTypeDouble, alias: Low median household income as a percent of area median income (percentile) )
• PM25F_PFS ( type: esriFieldTypeDouble, alias: PM2.5 in the air (percentile) )
• HSEF ( type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree )
• P100_PFS ( type: esriFieldTypeDouble, alias: Percent of individuals < 100% Federal Poverty Line (percentile) )
• P200_I_PFS ( type: esriFieldTypeDouble, alias: Percent of individuals below 200% Federal Poverty Line, imputed and adjusted (percentile) )
• AJDLI_ET ( type: esriFieldTypeInteger, alias: Meets the less stringent low income criterion for the adjacency index? )
• LPF_PFS ( type: esriFieldTypeDouble, alias: Percent pre-1960s housing (lead paint indicator) (percentile) )
• KP_PFS ( type: esriFieldTypeDouble, alias: Share of homes with no kitchen or indoor plumbing (percent) (percentile) )
• NPL_PFS ( type: esriFieldTypeDouble, alias: Proximity to NPL sites (percentile) )
• RMP_PFS ( type: esriFieldTypeDouble, alias: Proximity to Risk Management Plan (RMP) facilities (percentile) )
• TSDF_PFS ( type: esriFieldTypeDouble, alias: Proximity to hazardous waste sites (percentile) )
• TPF ( type: esriFieldTypeDouble, alias: Total population )
• TF_PFS ( type: esriFieldTypeDouble, alias: Traffic proximity and volume (percentile) )
• UF_PFS ( type: esriFieldTypeDouble, alias: Unemployment (percent) (percentile) )
• WF_PFS ( type: esriFieldTypeDouble, alias: Wastewater discharge (percentile) )
• UST_PFS ( type: esriFieldTypeDouble, alias: Leaky underground storage tanks (percentile) )
• N_WTR ( type: esriFieldTypeInteger, alias: Water Factor (Definition N) )
• N_WKFC ( type: esriFieldTypeInteger, alias: Workforce Factor (Definition N) )
• N_CLT ( type: esriFieldTypeInteger, alias: Climate Factor (Definition N) )
• N_ENY ( type: esriFieldTypeInteger, alias: Energy Factor (Definition N) )
• N_TRN ( type: esriFieldTypeInteger, alias: Transportation Factor (Definition N) )
• N_HSG ( type: esriFieldTypeInteger, alias: Housing Factor (Definition N) )
• N_PLN ( type: esriFieldTypeInteger, alias: Pollution Factor (Definition N) )
• N_HLTH ( type: esriFieldTypeInteger, alias: Health Factor (Definition N) )
• SN_C ( type: esriFieldTypeInteger, alias: Definition N community, including adjacency index tracts )
• SN_T ( type: esriFieldTypeString, alias: Identified as disadvantaged due to tribal overlap, length: 80 )
• DLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes and is low income? )
• ALI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma and is low income? )
• PLHSE ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level and has low HS attainment? )
• LMILHSE ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS attainment? )
• ULHSE ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment and has low HS attainment? )
• EPL_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected population loss )
• EAL_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected agricultural loss )
• EBL_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected building loss )
• EB_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for energy burden )
• PM25_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for pm2.5 exposure )
• DS_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diesel particulate matter )
• TP_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for traffic proximity )
• LPP_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentile )
• HRS_ET ( type: esriFieldTypeString, alias: Tract-level redlining score meets or exceeds 3.25, length: 80 )
• KP_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen )
• HB_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for housing burden )
• RMP_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for RMP proximity )
• NPL_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for NPL (superfund sites) proximity )
• TSDF_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to hazardous waste sites )
• WD_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for wastewater discharge )
• UST_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for leaky underwater storage tanks )
• DB_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes )
• A_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma )
• HD_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for heart disease )
• LLE_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low life expectancy )
• UN_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment )
• LISO_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households in linguistic isolation )
• POV_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level )
• LMI_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low median household income as a percent of area median income )
• IA_LMI_ET ( type: esriFieldTypeInteger, alias: Low median household income as a percent of territory median income in 2009 exceeds 90th percentile )
• IA_UN_ET ( type: esriFieldTypeInteger, alias: Unemployment (percent) in 2009 exceeds 90th percentile )
• IA_POV_ET ( type: esriFieldTypeInteger, alias: Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile )
• TC ( type: esriFieldTypeDouble, alias: Total threshold criteria exceeded )
• CC ( type: esriFieldTypeDouble, alias: Total categories exceeded )
• IAULHSE ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)? )
• IAPLHSE ( type: esriFieldTypeInteger, alias: 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)? )
• IALMILHSE ( type: esriFieldTypeInteger, alias: 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)? )
• IALMIL_76 ( type: esriFieldTypeDouble, alias: Low median household income as a percent of territory median income in 2009 (percentile) )
• IAPLHS_77 ( type: esriFieldTypeDouble, alias: Percentage households below 100% of federal poverty line in 2009 for island areas (percentile) )
• IAULHS_78 ( type: esriFieldTypeDouble, alias: Unemployment (percent) in 2009 for island areas (percentile) )
• LHE ( type: esriFieldTypeInteger, alias: Low high school education )
• IALHE ( type: esriFieldTypeInteger, alias: Low high school education in 2009 (island areas) )
• IAHSEF ( type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree in 2009 )
• N_CLT_EOMI ( type: esriFieldTypeInteger, alias: At least one climate threshold exceeded )
• N_ENY_EOMI ( type: esriFieldTypeInteger, alias: At least one energy threshold exceeded )
• N_TRN_EOMI ( type: esriFieldTypeInteger, alias: At least one traffic threshold exceeded )
• N_HSG_EOMI ( type: esriFieldTypeInteger, alias: At least one housing threshold exceeded )
• N_PLN_EOMI ( type: esriFieldTypeInteger, alias: At least one pollution threshold exceeded )
• N_WTR_EOMI ( type: esriFieldTypeInteger, alias: At least one water threshold exceeded )
• N_HLTH_88 ( type: esriFieldTypeInteger, alias: At least one health threshold exceeded )
• N_WKFC_89 ( type: esriFieldTypeInteger, alias: At least one workforce threshold exceeded )
• FPL200S ( type: esriFieldTypeInteger, alias: Is low income (imputed and adjusted)? )
• N_WKFC_91 ( type: esriFieldTypeInteger, alias: Both workforce socioeconomic indicators exceeded )
• TD_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for DOT travel barriers )
• TD_PFS ( type: esriFieldTypeDouble, alias: DOT Travel Barriers Score (percentile) )
• FLD_PFS ( type: esriFieldTypeDouble, alias: Share of properties at risk of flood in 30 years (percentile) )
• WFR_PFS ( type: esriFieldTypeDouble, alias: Share of properties at risk of fire in 30 years (percentile) )
• FLD_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years )
• WFR_ET ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years )
• ADJ_ET ( type: esriFieldTypeInteger, alias: Is the tract surrounded by disadvantaged communities? )
• IS_PFS ( type: esriFieldTypeDouble, alias: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile) )
• IS_ET ( type: esriFieldTypeInteger, alias: 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 )
• AML_ET ( type: esriFieldTypeInteger, alias: Is there at least one abandoned mine in this census tract, where missing data is treated as False? )
• FUDS_RAW ( type: esriFieldTypeString, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract?, length: 80 )
• FUDS_ET ( type: esriFieldTypeInteger, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False? )
• IMP_FLG ( type: esriFieldTypeString, alias: Income data has been estimated based on neighbor income, length: 80 )
• DM_B ( type: esriFieldTypeDouble, alias: Percent Black or African American )
• DM_AI ( type: esriFieldTypeDouble, alias: Percent American Indian / Alaska Native )
• DM_A ( type: esriFieldTypeDouble, alias: Percent Asian )
• DM_HI ( type: esriFieldTypeDouble, alias: Percent Native Hawaiian or Pacific )
• DM_T ( type: esriFieldTypeDouble, alias: Percent two or more races )
• DM_W ( type: esriFieldTypeDouble, alias: Percent White )
• DM_H ( type: esriFieldTypeDouble, alias: Percent Hispanic or Latino )
• DM_O ( type: esriFieldTypeDouble, alias: Percent other races )
• AGE_10 ( type: esriFieldTypeDouble, alias: Percent age under 10 )
• AGE_MIDDLE ( type: esriFieldTypeDouble, alias: Percent age 10 to 64 )
• AGE_OLD ( type: esriFieldTypeDouble, alias: Percent age over 64 )
• TA_COU_116 ( type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract for Alaska )
• TA_COUNT_C ( type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract )
• TA_PERC ( type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas )
• TA_PERC_FE ( type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas, for display )
• UI_EXP ( type: esriFieldTypeString, alias: UI_EXP, length: 80 )
• THRHLD ( type: esriFieldTypeDouble, alias: THRHLD )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape_Area )

Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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