Abstract

MEJ aims to create easy-to-use, publicly-available maps that paint a holistic picture of intersecting environmental, social, and health impacts experienced by communities across the US.

With guidance from the residents of impacted communities, MEJ combines environmental, public health, and demographic data into an indicator of vulnerability for communities in every state. MEJ’s goal is to fill an existing data gap for individual states without environmental justice mapping tools, and to provide a valuable tool for advocates, scholars, students, lawyers, and policy makers.

Methodology

The negative effects of pollution depend on a combination of vulnerability and exposure. People living in poverty, for example, are more likely to develop asthma or die due to air pollution. The method MEJ uses, following the method developed for CalEnviroScreen, reflects this in the two overall components of a census tract’s final “Cumulative EJ Impact”: population characteristics and pollution burden. The CalEnviroScreen methodology was developed through an intensive, multi-year effort to develop a science-backed, peer-reviewed tool to assess environmental justice in a holistic way, and has since been replicated by several other states.

CalEnviroScreen Methodology:

• Population characteristics are a combination of socioeconomic data (often referred to as the social determinants of health) and health data that together reflect a populations' vulnerability to pollutants. Pollution burden is a combination of direct exposure to a pollutant and environmental effects, which are adverse environmental conditions caused by pollutants, such as toxic waste sites or wastewater releases. Together, population characteristics and pollution burden help describe the disproportionate impact that environmental pollution has on different communities.

• Every indicator is ranked as a percentile from 0 to 100 and averaged with the others of the same component to form an overall score for that component. Each component score is then percentile ranked to create a component percentile. The Sensitive Populations component score, for example, is the average of a census tract’s Asthma, Low Birthweight Infants, and Heart Disease indicator percentiles, and the Sensitive Populations component percentile is the percentile rank of the Sensitive Populations score.

• The Population Characteristics score is the average of the Sensitive Populations component score and the Socioeconomic Factors component score. The Population Characteristics percentile is the percentile rank of the Population Characteristics score.

• The Pollution Burden score is the average of the Pollution Exposure component score and one half of the Environmental Effects component score (Environmental Effects may have a smaller effect on health outcomes than the indicators included the Exposures component so are weighted half as much as Exposures). The Pollution Burden percentile is the percentile rank of the Pollution Burden score.

• The Populaton Characteristics and Pollution Burden scores are then multiplied to find the final Cumulative EJ Impact score for a census tract, and then this final score is percentile-ranked to find a census tract's final Cumulative EJ Impact percentile.

• Census tracts with no population aren't given a Population Characteristics score.

• Census tracts with an indicator score of zero are assigned a percentile rank of zero. Percentile rank is then only calculated for those census tracts with a score above zero.

• Census tracts that are missing data for more than two indicators don't receive a final Cumulative EJ Impact ranking.

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Environmental Justice Block Groups 2022 was created from Connecticut block group boundary data located in the Census Bureau's 2020 TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2020 ACS 5-year estimate. This poverty data was joined with the block group boundaries in ArcPro. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2020 was created from Connecticut town boundary data located in the Census Bureau's 2020 TIGER/Line Shapefiles (County Subdivisions).

From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2022 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2020 TIGER/Line files. In the resulting layer, the tribal lands were deleted so only the distressed municipalities remained. Maintenance – This layer will be updated annually when the DECD produces its new list of distressed municipalities (around August/September).

Note: A distressed municipality, as designated by the Connecticut Department of Economic and Community Development, includes municipalities that no longer meet the threshold requirements but are still in a 5-year grace period. (See definition at CGS Sec. 32-9p(b).) Fitting into that grace period, eight towns continue to be eligible for distressed municipality benefits because they dropped off the list within the last five years. Those are Enfield, Killingly, Naugatuck, Plymouth, New Haven, Preston, Stratford, and Voluntown.

Be certain to read the MassGIS methodology to fully understand how these areas are identified.

Environmental Justice 2024 Set is comprised of two layers: Environmental Justice Block Groups 2024 and Environmental Justice Distressed Municipality 2024. All Census and ACS data used in the creation of these data are the latest available from the Census at time of calculation. Environmental Justice Block Groups 2024 was created from Connecticut block group boundary data located in the Census Bureau's 2024 Block Group TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2023 ACS 5-year estimate. This poverty data was joined with the block group boundaries in ArcPro. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2024 was created from the Connecticut town boundary data located in the Census Bureau's 2024 TIGER/Line Shapefiles (County Subdivisions). From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2024 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2024 TIGER/Line files. In the resulting layer, the tribal lands were deleted so only the distressed municipalities remained. Maintenance – This layer will be updated

The Environmental Justice Communities Map (“EJ Communities Map”) describes areas of San Francisco that have higher pollution and are predominately low-income. This map is based on CalEnviroScreen, a tool created by CalEPA & OEHHA that maps California communities that are most affected by pollution and other health risks. This EJ Communities Map includes additional local data on pollution and demographics, and was refined during the community engagement process based on public feedback. “EJ Communities” are defined as the areas facing the top one-third of cumulative environmental and socioeconomic burdens across the City. The EJ Communities include areas of Bayview Hunters Point, Chinatown, Excelsior, Japantown, Mission, Ocean View-Merced Heights-Ingleside, Outer Mission, Potrero Hill, SoMa, Tenderloin, Treasure Island, Visitacion Valley, and Western Addition. "EJ Communities” are defined as the areas facing the top one-third of cumulative environmental and socioeconomic burdens across the City, with scores 21-30. Further information is available here: https://sfplanning.org/project/environmental-justice-framework-and-general-plan-policies#ej-communities

Presentation of the integrated environmental impact including the core indicator of social problems and other supplementary indicators as a “Berlin environmental justice map”.

Environmental Justice Block Groups 2021 was created from Connecticut block group boundary data located in the Census Bureau's 2019 TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2019 ACS 5-year estimate- Table C17002. This poverty data was joined with the block group boundaries in ArcMap. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2021 was created from Connecticut town boundary data located in the Census Bureau's 2019 TIGER/Line Shapefiles (County Subdivisions). From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2021 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2019 TIGER/Line files. In the resulting layer, the tribal lands were deleted so only the distressed municipalities remained. Maintenance – This layer will be updated annually when the DECD produces its new list of distressed municipalities (around August/September).

Presentation of the integrated environmental impact including the core indicator of social problems and other supplementary indicators as a "Berlin environmental justice map".

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information "The Environmental and Climate Justice Program (ECJ Program), created by the Inflation Reduction Act (IRA), provides funding for financial and technical assistance to carry out environmental and climate justice activities to benefit disadvantaged communities. EPA has created the EPA Disadvantaged Community Environmental and Climate Justice Program map to assist potential applicants seeking to identify whether a community is disadvantaged for the purposes of implementing the ECJ Program. The EPA Disadvantaged Communities Environmental and Climate Justice program map includes the following components: EPA IRA Disadvantaged Communities 1.0 map EPA IRA Disadvantaged Communities 2.0 map Any area of American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, or the U.S. Virgin Islands The EPA IRA Disadvantaged Communities maps combines multiple datasets that individually can be used to determine whether a community is disadvantaged for the purposes of implementing programs under the IRA. All data sets are assigned values at the Census block group level. The criteria and associated datasets used in the maps are: Any census tract that is included as disadvantaged in the Climate and Economic Justice Screening Tool (CEJST) Any census block group at or above the 90th percentile for any of EJScreen’s Supplemental Indexes when compared to the nation or state, and/or any of the following geographic areas within the Tribal lands category in EJScreen: Alaska Native Allotments Alaska Native Villages American Indian Reservations American Indian Off-reservation Trust Lands Oklahoma Tribal Statistical Areas The EPA IRA Disadvantaged Communities 1.0 map uses data from EJScreen version 2.2. The EPA IRA Disadvantaged Communities 2.0 map uses data from EJScreen version 2.3. To further assist applicants, EPA has provided the underlying data for the map" [Quote from https://www.epa.gov/environmentaljustice/inflation-reduction-act-disadvantaged-communities-map] Note: If you have questions about the underlying data, please contact the Environmental Protection Agency (environmental-justice@epa.gov). If you have questions or recommendations related to this metadata entry, please contact the CAFE Data Management team at: climatecafe@bu.edu

description: These data are from EJSCREEN, an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.; abstract: These data are from EJSCREEN, an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.

This resouce contains two spatial datasets.

MPCA Environmental Justice Areas
MPCA Census Tribal Areas

These data represent areas of consideration for MPCA environmental justice efforts. Our goal is to highlight regions where community members are disproportionately impacted by environmental issues. The data fields in this layer are a mix of American Community Survey (ACS) 5-year estimates and calculations performed by MPCA staff. Margins of error are not considered when determining potential areas of consideration.

As an attempt to highlight environmental justice areas of concern, we show census tracts where the estimated percentage of the population that identify as people of color is 40% or greater, the estimated percentage of economically disadvantaged community members is 35% or greater, as well as the estimated percentage of the population that has limited English proficiency is 40% or greater. We also include language information for each census tract and highlight the top three estimated languages spoken by those who report that they do not speak English well.

Income Threshold:
The federal government defines poverty thresholds on an annual basis (https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html). For MPCA use, we show an income threshold at 2 times the federal poverty threshold.

2022:
2 x $13,590 = $27,180 (individual)
2 x $27,750 = $55,500 (family of four)

This resource also contains Tribal Areas. These areas are derived by taking the maximum extent of two spatial datasets: the U.S. Census Bureau's 2022 TIGER/Line Shapefiles, Current American Indian/Alaska Native/Native Hawaiian Areas for United States; and Minnesota Department of Transportation's Tribal Government in Minnesota.

Provided by Sacramento County Planning.Environmental Justice Element

Shapefile contains census tracts identified as disadvantaged in the Climate and Economic Justice Screening Tool (CEJST) for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

The original shapefile was downloaded from the The White House Council on Environmental Quality, Climate and Economic Justice Screening Tool (CEJST), Methodology & Data webpage.. The “Clip” tool in ArcMap was used to select only those features which are located within the boundaries of the five Bay Area counties included in the Frontline Communities Map. Only those census tracts where SN_C column is equal to 1 are displayed. Where, SN_C is defined as "Identified as disadvantaged" in the original codebook and 1 is equivalent to a true statement. To learn more about the methodology behind the original dataset, please visit: https://screeningtool.geoplatform.gov/en/methodology#3/33.47/-97.5

The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

As outlined in Executive Order 14008 on Tackling the Climate Crisis at Home and Abroad, the Climate and Economic Justice Screening Tool (CEJST) is a geospatial mapping tool designed to identify disadvantaged communities that are marginalized and overburdened by pollution and underinvestment, for the purposes of Justice40 Initiative.

This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.University of Vermont Spatial Analysis LaboratoryThe dataset covers the following tree canopy categories:Environmental Justice Priority AreasCensus tracts composite / quintileExisting tree canopy percentage & environmental justice priority levelExisting tree canopyPossible tree canopyRelative percentage changeFor more information, please see the 2021 Tree Canopy Assessment.

All residents of the State of New Jersey have a right to live, learn, work, and recreate in a clean and healthy environment. Environmental justice requires fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income, in the development, implementation and enforcement of environmental laws, regulations and policies. This goal can only be achieved when everyone enjoys the same degree of protection from environmental and health hazards and has equal access to the decision-making processes in the places they live, learn, and work, and recreate.Historically, New Jersey’s low-income communities and communities of color historically have been subjected to a disproportionately high number of environmental and public health stressors—including mobile sources of pollution, and numerous industrial, commercial, and governmental stationary sources of pollution. Further compounding this inequity, New Jersey’s overburdened communities (OBCs) often lack important environmental benefits, such as quality green and open spaces, sufficient tree canopy, or adequate stormwater management.

This layer is an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.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.

Environmental Justice 2023 Set is comprised of two layers: Environmental Justice Block Groups 2023 and Environmental Justice Distressed Municipality 2023. All Census and ACS data used in the creation of these data are the latest available from the Census at time of calculation. Environmental Justice Block Groups 2023 was created from Connecticut block group boundary data located in the Census Bureau's 2022 Block Group TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2021 ACS 5-year estimate. This poverty data was joined with the block group boundaries in ArcPro. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2023 was created from the Connecticut town boundary data located in the Census Bureau's 2022 TIGER/Line Shapefiles (County Subdivisions). From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2023 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2020 TIGER/Line files. In the re

Analysis of ‘Environmental Justice Area Census Tract Designation’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8079e6d2-e738-4d50-b91e-cbae8e32c516 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Shapefile of census tracts by environmental justice area designation defined by Local Law 64 (2017). For more information about this dataset, visit the Environmental Justice Areas map.

--- Original source retains full ownership of the source dataset ---

description: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern. The National-scale Air Toxics Assessment (NATA) environmental indicators and EJ indexes, which include cancer risk, respiratory hazard, neurodevelopment hazard, and diesel particulate matter will be added into EJSCREEN during the first full public update after the soon-to-be-released 2011 dataset is made available. All NATA associated indicator and index elements are currently set to "Null".; abstract: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern. The National-scale Air Toxics Assessment (NATA) environmental indicators and EJ indexes, which include cancer risk, respiratory hazard, neurodevelopment hazard, and diesel particulate matter will be added into EJSCREEN during the first full public update after the soon-to-be-released 2011 dataset is made available. All NATA associated indicator and index elements are currently set to "Null".

Abstract

Connecticut EJ communities maps is a collection of csv files downloaded from Connecticut Department of Energy and Environmental Protection's ArcGIS website. The csv files contain data that was used to generate three main maps: Connecticut 2021 EJ communities, Connecticut: Environmental Justice Affecting Facilities, and Connecticut Demographics and Affecting Facilities. A link to each map is available under the Links section below.