Name: USDOT Underserved Community

Display Field: GEOID10

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This layer assesses and identifies communities that are disadvantaged according to updated Justice40 Initiative criteria. Census tracts in the U.S. and its territories that meet the Version 1.0 criteria are shaded in semi-transparent blue colors to work with a variety of basemaps. See this web map for use in your dashboards, story maps, and apps.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.If you have been using a previous version of the Justice40 data, please know that this Version 1.0 differs in many ways. See the updated Justice40 Initiative criteria for current specifics. Use this layer to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications. See this blog post for more information.From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe 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.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.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."Source: https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/usa_november_2022/FeatureServerBrowse the DataView the Data tab in the top right of this page to browse the data in a table and view the metadata available for each field, including field name, field alias, and a field description explaining what the field represents.Symbology updated 2/19/2023 to show additional tracts whose overlap with tribal lands is greater than 0% but less than 1%, to be designated as "Partially Disadvantaged" alongside tracts whose overlap with tribal lands is 1% or more.

Copyright Text: Council on Environmental Quality, Esri

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: 559992.2034120746
YMin: 801948.0062335953
XMax: 784308.024934385
YMax: 982978.1069553792
Spatial Reference: 2868  (2868)

Drawing Info:

Renderer:
Simple Renderer:
Symbol:
Style: esriSFSSolid
Color: [255, 227, 0, 255]
Outline:
Style: esriSLSSolid
Color: [0, 0, 0, 255]
Width: 0
Label: N/A
Description: N/A
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
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true

HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: ObjectID )
• GEOID10 ( type: esriFieldTypeString, alias: 2010 FIPS Code, 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 (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 and Wastewater Disadvantaged )
• N_WKFC ( type: esriFieldTypeInteger, alias: Workforce Development Disadvantaged )
• N_CLT ( type: esriFieldTypeInteger, alias: Climate Change Disadvantaged )
• N_ENY ( type: esriFieldTypeInteger, alias: Energy Disadvantaged )
• N_TRN ( type: esriFieldTypeInteger, alias: Transportation Disadvantaged )
• N_HSG ( type: esriFieldTypeInteger, alias: Housing Disadvantaged )
• N_PLN ( type: esriFieldTypeInteger, alias: Legacy Pollution Disadvantaged )
• N_HLTH ( type: esriFieldTypeInteger, alias: Health Disadvantaged )
• 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, 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? )
• 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 PM 2.5 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 Risk Management Plan (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 and low percent of higher ed students )
• 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: Exceeds Federal Poverty Level 200 threshold )
• 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 (imputed) 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: Methodology type used, length: 80 )
• THRHLD ( type: esriFieldTypeDouble, alias: Total thresholds possible )
• GlobalID ( type: esriFieldTypeGlobalID, alias: GlobalID, length: 38 )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape.STArea() )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )

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

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