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."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40The layer has some transparency applied to allow it to work sufficiently well on top of many basemaps. For optimum map display where streets and labels are clearly shown on top of this layer, try one of the Human Geography basemaps and set transparency to 0%, as is done in this example web map.Browse 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
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)
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)
KP_PFS (type: esriFieldTypeDouble, alias: Share of homes with no kitchen or indoor plumbing (percent) (percentile), 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)
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)
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)
TD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for DOT travel barriers, 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)
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)