Name: Justice 40 (all variables)

Display Field: GEOID10

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Copyright Text:

Default Visibility: true

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: 52654.8630000018
YMin: 45682.4648000002
XMax: 799725.485399999
YMax: 781582.7177
Spatial Reference: 3087  (3087)

Drawing Info:

Renderer:
Unique Value Renderer:
Field 1: SM_C
Field 2: N/A
Field 3: N/A
Field Delimiter: ,
Default Symbol:
N/A
Default Label: N/A
UniqueValueInfos:
• Value: 0
  Label: Non disadvantaged
  Description: N/A
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  Outline:
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• Value: 1
  Label: Identified as disadvantaged
  Description: N/A
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  Color: [204, 204, 204, 204]
  Outline:
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  Color: [130, 130, 130, 204]
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Transparency: 0
Labeling Info:

Advanced Query Capabilities:

Supports Statistics: true
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:

• 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) )
• MHVF_PFS ( type: esriFieldTypeDouble, alias: Median value ($) of owner-occupied housing units (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_PFS ( type: esriFieldTypeDouble, alias: Percent of individuals below 200% Federal Poverty Line (percentile) )
• LPF_PFS ( type: esriFieldTypeDouble, alias: Percent pre-1960s housing (lead paint indicator) (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) )
• M_WTR ( type: esriFieldTypeInteger, alias: Water Factor (Definition M) )
• M_WKFC ( type: esriFieldTypeInteger, alias: Workforce Factor (Definition M) )
• M_CLT ( type: esriFieldTypeInteger, alias: Climate Factor (Definition M) )
• M_ENY ( type: esriFieldTypeInteger, alias: Energy Factor (Definition M) )
• M_TRN ( type: esriFieldTypeInteger, alias: Transportation Factor (Definition M) )
• M_HSG ( type: esriFieldTypeInteger, alias: Housing Factor (Definition M) )
• M_PLN ( type: esriFieldTypeInteger, alias: Pollution Factor (Definition M) )
• M_HLTH ( type: esriFieldTypeInteger, alias: Health Factor (Definition M) )
• SM_C ( type: esriFieldTypeInteger, alias: Definition M (communities) )
• SM_PFS ( type: esriFieldTypeDouble, alias: Definition M (percentile) )
• EPLRLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected population loss rate, is low income, and has a low percent of higher ed students? )
• EALRLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected agriculture loss rate, is low income, and has a low percent of higher ed students? )
• EBLRLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected building loss rate, is low income, and has a low percent of higher ed students? )
• PM25LI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for PM2.5 exposure, is low income, and has a low percent of higher ed students? )
• EBLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for energy burden, is low income, and has a low percent of higher ed students? )
• DPMLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diesel particulate matter, is low income, and has a low percent of higher ed students? )
• TPLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for traffic proximity, is low income, and has a low percent of higher ed students? )
• LPMHVLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for lead paint, the median house value is less than 90th percentile, is low income, and has a low percent of higher ed students? )
• HBLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for housing burden, is low income, and has a low percent of higher ed students? )
• RMPLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to RMP sites, is low income, and has a low percent of higher ed students? )
• SFLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to superfund sites, is low income, and has a low percent of higher ed students? )
• HWLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to hazardous waste facilities, is low income, and has a low percent of higher ed students? )
• WDLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for wastewater discharge, is low income, and has a low percent of higher ed students? )
• 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? )
• 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? )
• HDLI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for heart disease, is low income, and has a low percent of higher ed students? )
• LLELI ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low life expectancy, is low income, and has a low percent of higher ed students? )
• LILHSE ( type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households in linguistic isolation, has low HS attainment, and has a low percent of higher ed students? )
• 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? )
• 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? )
• 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? )
• 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 )
• 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 )
• 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_87 ( type: esriFieldTypeDouble, alias: Low median household income as a percent of territory median income in 2009 (percentile) )
• IAPLHS_88 ( type: esriFieldTypeDouble, alias: Percentage households below 100% of federal poverty line in 2009 for island areas (percentile) )
• IAULHS_89 ( type: esriFieldTypeDouble, alias: Unemployment (percent) in 2009 for island areas (percentile) )
• LHE ( type: esriFieldTypeDouble, alias: Low high school education and low percent of higher ed students )
• IALHE ( type: esriFieldTypeDouble, 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 )
• CA ( type: esriFieldTypeDouble, alias: Percent enrollment in college or graduate school )
• NCA ( type: esriFieldTypeDouble, alias: Percent of population not currently enrolled in college or graduate school )
• CA_LT20 ( type: esriFieldTypeInteger, alias: Percent higher ed enrollment rate is less than 20% )
• M_CLT_EOMI ( type: esriFieldTypeInteger, alias: At least one climate threshold exceeded )
• M_ENY_EOMI ( type: esriFieldTypeInteger, alias: At least one energy threshold exceeded )
• M_TRN_EOMI ( type: esriFieldTypeInteger, alias: At least one traffic threshold exceeded )
• M_HSG_EOMI ( type: esriFieldTypeInteger, alias: At least one housing threshold exceeded )
• M_PLN_EOMI ( type: esriFieldTypeInteger, alias: At least one pollution threshold exceeded )
• M_WTR_EOMI ( type: esriFieldTypeInteger, alias: At least one water threshold exceeded )
• M_HLTH_102 ( type: esriFieldTypeInteger, alias: At least one health threshold exceeded )
• M_WKFC_103 ( type: esriFieldTypeInteger, alias: At least one workforce threshold exceeded )
• FPL200S ( type: esriFieldTypeInteger, alias: Is low income? )
• M_WKFC_105 ( type: esriFieldTypeInteger, alias: Both workforce socioeconomic indicators exceeded )
• M_EBSI ( type: esriFieldTypeInteger, alias: Is low income and has a low percent of higher ed students? )
• UI_EXP ( type: esriFieldTypeString, alias: UI_EXP, length: 80 )
• THRHLD ( type: esriFieldTypeDouble, alias: THRHLD )
• USDOT ( type: esriFieldTypeSmallInteger, alias: USDOT )
• USDOT_MATCH ( type: esriFieldTypeString, alias: USDOT_MATCH, length: 1 )
• DESCRIPT ( type: esriFieldTypeString, alias: DESCRIPT, length: 50 )
• FGDLAQDATE ( type: esriFieldTypeDate, alias: FGDLAQDATE, length: 8 )
• AUTOID ( type: esriFieldTypeInteger, alias: AUTOID )
• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )

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

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