Layers:

Layer: Disadvantaged Communities (0)

Name: Disadvantaged Communities

Display Field: GEOID10

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Service Item Id: 4dd8f4574fbe4f1793c1539e1540b3f1

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -92.88943299963319
YMin: 42.47877100008162
XMax: -86.75011900019166
YMax: 47.12492799972745
Spatial Reference: 4326  (4326)



Drawing Info:
Renderer:
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Field 1: SN_C
Field 2: SN_T
Field 3: N/A
Field Delimiter: ,
Default Symbol:
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Default Label: N/A
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• Value: 1,
  Label: Identified as disadvantaged
  Description: N/A
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  Label: Identified as disadvantaged
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• Value: 1,1
  Label: Identified as disadvantaged due to tribal overlap
  Description: N/A
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Supports Sql Expression: true
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Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


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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: Identified as disadvantaged )
• 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 and is low income? )
• 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_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Layer: Minority Population (1)

Name: Minority Population

Display Field: GEOID10

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Service Item Id: 4dd8f4574fbe4f1793c1539e1540b3f1

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -92.88943299963319
YMin: 42.47877100008162
XMax: -86.75011900019166
YMax: 47.12492799972745
Spatial Reference: 4326  (4326)



Drawing Info:
Renderer:
Class Breaks Renderer:
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Min. Value: 0.0
ClassBreakInfos:
• Class Maximum Value: 0.699
  Label: 30% or greater Minority Representation
  Description: N/A
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  Color: [245, 245, 0, 255]
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Transparency: 50
Labeling Info:
Advanced Query Capabilities:
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Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
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• 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: Identified as disadvantaged )
• 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 and is low income? )
• 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_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )