Layers:

Layer: usa_november_2022_Clip (181)


Name: usa_november_2022_Clip

Display Field: GEOID10

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Copyright Text:

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• GEOID10 (type: esriFieldTypeString, alias: 2010 FIPS Code, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• SF (type: esriFieldTypeString, alias: State/Territory, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• CF (type: esriFieldTypeString, alias: County Name, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• DF_PFS (type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• AF_PFS (type: esriFieldTypeDouble, alias: Current asthma among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• HDF_PFS (type: esriFieldTypeDouble, alias: Coronary heart disease among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• DSF_PFS (type: esriFieldTypeDouble, alias: Diesel particulate matter exposure (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• EBF_PFS (type: esriFieldTypeDouble, alias: Energy burden (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• EALR_PFS (type: esriFieldTypeDouble, alias: Expected agricultural loss rate (Natural Hazards Risk Index) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• EBLR_PFS (type: esriFieldTypeDouble, alias: Expected building loss rate (Natural Hazards Risk Index) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• EPLR_PFS (type: esriFieldTypeDouble, alias: Expected population loss rate (Natural Hazards Risk Index) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• HBF_PFS (type: esriFieldTypeDouble, alias: Housing burden (percent) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• LLEF_PFS (type: esriFieldTypeDouble, alias: Low life expectancy (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• LIF_PFS (type: esriFieldTypeDouble, alias: Linguistic isolation (percent) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• LMI_PFS (type: esriFieldTypeDouble, alias: Low median household income as a percent of area median income (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• PM25F_PFS (type: esriFieldTypeDouble, alias: PM2.5 in the air (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• HSEF (type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree, SQL Type: sqlTypeOther, nullable: true, editable: true)
• P100_PFS (type: esriFieldTypeDouble, alias: Percent of individuals < 100% Federal Poverty Line (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• P200_I_PFS (type: esriFieldTypeDouble, alias: Percent of individuals below 200% Federal Poverty Line (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• AJDLI_ET (type: esriFieldTypeInteger, alias: Meets the less stringent low income criterion for the adjacency index?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• LPF_PFS (type: esriFieldTypeDouble, alias: Percent pre-1960s housing (lead paint indicator) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• KP_PFS (type: esriFieldTypeDouble, alias: Share of homes with no kitchen or indoor plumbing (percent) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• NPL_PFS (type: esriFieldTypeDouble, alias: Proximity to NPL sites (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• RMP_PFS (type: esriFieldTypeDouble, alias: Proximity to Risk Management Plan (RMP) facilities (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• TSDF_PFS (type: esriFieldTypeDouble, alias: Proximity to hazardous waste sites (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• TPF (type: esriFieldTypeDouble, alias: Total population, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TF_PFS (type: esriFieldTypeDouble, alias: Traffic proximity and volume (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• UF_PFS (type: esriFieldTypeDouble, alias: Unemployment (percent) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• WF_PFS (type: esriFieldTypeDouble, alias: Wastewater discharge (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• UST_PFS (type: esriFieldTypeDouble, alias: Leaky underground storage tanks (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_WTR (type: esriFieldTypeInteger, alias: Water and Wastewater Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_WKFC (type: esriFieldTypeInteger, alias: Workforce Development Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_CLT (type: esriFieldTypeInteger, alias: Climate Change Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_ENY (type: esriFieldTypeInteger, alias: Energy Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_TRN (type: esriFieldTypeInteger, alias: Transportation Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_HSG (type: esriFieldTypeInteger, alias: Housing Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_PLN (type: esriFieldTypeInteger, alias: Legacy Pollution Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_HLTH (type: esriFieldTypeInteger, alias: Health Disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• SN_C (type: esriFieldTypeInteger, alias: Identified as disadvantaged, SQL Type: sqlTypeOther, nullable: true, editable: true)
• SN_T (type: esriFieldTypeString, alias: Identified as disadvantaged due to tribal overlap, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• DLI (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• ALI (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• PLHSE (type: esriFieldTypeInteger, alias: 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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• LMILHSE (type: esriFieldTypeInteger, alias: 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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• ULHSE (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• EPL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected population loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
• EAL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected agricultural loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
• EBL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected building loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
• EB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for energy burden, SQL Type: sqlTypeOther, nullable: true, editable: true)
• PM25_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for PM 2.5 exposure, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DS_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diesel particulate matter, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for traffic proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
• 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, SQL Type: sqlTypeOther, nullable: true, editable: true)
• HRS_ET (type: esriFieldTypeString, alias: Tract-level redlining score meets or exceeds 3.25, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• KP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen, SQL Type: sqlTypeOther, nullable: true, editable: true)
• HB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for housing burden, SQL Type: sqlTypeOther, nullable: true, editable: true)
• RMP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
• NPL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for NPL (superfund sites) proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TSDF_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to hazardous waste sites, SQL Type: sqlTypeOther, nullable: true, editable: true)
• WD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for wastewater discharge, SQL Type: sqlTypeOther, nullable: true, editable: true)
• UST_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for leaky underwater storage tanks, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes, SQL Type: sqlTypeOther, nullable: true, editable: true)
• A_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma, SQL Type: sqlTypeOther, nullable: true, editable: true)
• HD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for heart disease, SQL Type: sqlTypeOther, nullable: true, editable: true)
• LLE_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low life expectancy, SQL Type: sqlTypeOther, nullable: true, editable: true)
• UN_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment, SQL Type: sqlTypeOther, nullable: true, editable: true)
• LISO_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households in linguistic isolation, SQL Type: sqlTypeOther, nullable: true, editable: true)
• POV_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level, SQL Type: sqlTypeOther, nullable: true, editable: true)
• 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, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IA_LMI_ET (type: esriFieldTypeInteger, alias: Low median household income as a percent of territory median income in 2009 exceeds 90th percentile, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IA_UN_ET (type: esriFieldTypeInteger, alias: Unemployment (percent) in 2009 exceeds 90th percentile, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IA_POV_ET (type: esriFieldTypeInteger, alias: Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TC (type: esriFieldTypeDouble, alias: Total threshold criteria exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• CC (type: esriFieldTypeDouble, alias: Total categories exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IAULHSE (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• 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)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• 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)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IALMIL_76 (type: esriFieldTypeDouble, alias: Low median household income as a percent of territory median income in 2009 (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• IAPLHS_77 (type: esriFieldTypeDouble, alias: Percentage households below 100% of federal poverty line in 2009 for island areas (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• IAULHS_78 (type: esriFieldTypeDouble, alias: Unemployment (percent) in 2009 for island areas (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• LHE (type: esriFieldTypeInteger, alias: Low high school education and low percent of higher ed students, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IALHE (type: esriFieldTypeInteger, alias: Low high school education in 2009 (island areas), SQL Type: sqlTypeOther, nullable: true, editable: true)
• IAHSEF (type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree in 2009, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_CLT_EOMI (type: esriFieldTypeInteger, alias: At least one climate threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_ENY_EOMI (type: esriFieldTypeInteger, alias: At least one energy threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_TRN_EOMI (type: esriFieldTypeInteger, alias: At least one traffic threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_HSG_EOMI (type: esriFieldTypeInteger, alias: At least one housing threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_PLN_EOMI (type: esriFieldTypeInteger, alias: At least one pollution threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_WTR_EOMI (type: esriFieldTypeInteger, alias: At least one water threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_HLTH_88 (type: esriFieldTypeInteger, alias: At least one health threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_WKFC_89 (type: esriFieldTypeInteger, alias: At least one workforce threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• FPL200S (type: esriFieldTypeInteger, alias: Exceeds Federal Poverty Level 200 threshold, SQL Type: sqlTypeOther, nullable: true, editable: true)
• N_WKFC_91 (type: esriFieldTypeInteger, alias: Both workforce socioeconomic indicators exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for DOT travel barriers, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TD_PFS (type: esriFieldTypeDouble, alias: DOT Travel Barriers Score (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• FLD_PFS (type: esriFieldTypeDouble, alias: Share of properties at risk of flood in 30 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• WFR_PFS (type: esriFieldTypeDouble, alias: Share of properties at risk of fire in 30 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• FLD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years, SQL Type: sqlTypeOther, nullable: true, editable: true)
• WFR_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years, SQL Type: sqlTypeOther, nullable: true, editable: true)
• ADJ_ET (type: esriFieldTypeInteger, alias: Is the tract surrounded by disadvantaged communities?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IS_PFS (type: esriFieldTypeDouble, alias: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
• 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 and is low income?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• AML_ET (type: esriFieldTypeInteger, alias: Is there at least one abandoned mine in this census tract, where missing data is treated as False?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• FUDS_RAW (type: esriFieldTypeString, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract?, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• 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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
• IMP_FLG (type: esriFieldTypeString, alias: Income data has been estimated (imputed) based on neighbor income, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• DM_B (type: esriFieldTypeDouble, alias: Percent Black or African American, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_AI (type: esriFieldTypeDouble, alias: Percent American Indian / Alaska Native, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_A (type: esriFieldTypeDouble, alias: Percent Asian, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_HI (type: esriFieldTypeDouble, alias: Percent Native Hawaiian or Pacific, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_T (type: esriFieldTypeDouble, alias: Percent two or more races, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_W (type: esriFieldTypeDouble, alias: Percent White, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_H (type: esriFieldTypeDouble, alias: Percent Hispanic or Latino, SQL Type: sqlTypeOther, nullable: true, editable: true)
• DM_O (type: esriFieldTypeDouble, alias: Percent other races, SQL Type: sqlTypeOther, nullable: true, editable: true)
• AGE_10 (type: esriFieldTypeDouble, alias: Percent age under 10, SQL Type: sqlTypeOther, nullable: true, editable: true)
• AGE_MIDDLE (type: esriFieldTypeDouble, alias: Percent age 10 to 64, SQL Type: sqlTypeOther, nullable: true, editable: true)
• AGE_OLD (type: esriFieldTypeDouble, alias: Percent age over 64, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TA_COU_116 (type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract for Alaska, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TA_COUNT_C (type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TA_PERC (type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas, SQL Type: sqlTypeOther, nullable: true, editable: true)
• TA_PERC_FE (type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas, for display, SQL Type: sqlTypeOther, nullable: true, editable: true)
• UI_EXP (type: esriFieldTypeString, alias: Methodology type used, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
• THRHLD (type: esriFieldTypeDouble, alias: Total thresholds possible, SQL Type: sqlTypeOther, nullable: true, editable: true)
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• Shape__Length (type: esriFieldTypeDouble, alias: Shape__Length, SQL Type: sqlTypeDouble, nullable: true, editable: false)

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Name: usa_november_2022_Clip
Description:
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Last Edit Date: 6/17/2024 1:10:57 PM

Schema Last Edit Date: 6/17/2024 1:10:57 PM

Data Last Edit Date: 6/17/2024 1:10:57 PM