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EJSCREEN_2021_StatePct_LOW_INCOME_ERWtrshd_wm
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WGS_1984_Web_Mercator_Auxiliary_Sphere
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EJSCREEN_2021_StatePct_LOW_INCOME_ERWtrshd_wm
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>
EJSCREEN
Virginia
Elizabeth River Watershed
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.</SPAN></P></DIV></DIV></DIV>
U.S. Environmental Protection Agency, Office of Environmental Justice
lung.tai@epa.gov
202-566-1296
EJSCREEN data for 2021 selected for the Elizabeth River Watershed in Virginia. For more information about EJSCREEN, visit https://www.epa.gov/ejscreen
US EPA
The goal of EJScreen is to provide a nationally consistent environmental justice screening tool. The EJScreen Block Group Data is built from a number of sources. They are described fully in the technical document "EJScreen Data Processing Summary" from December 2021. There are three primary categories of indicators used to evaluate the vulnerability of a block group: Socioeconomic Indicators, Pollution and Sources, and Environmental Justice Indexes. The spatial data source is the Census Bureau's TIGER/Line 2019 block group boundaries for the 50 states, District of Columbia and Puerto Rico. The 2019 TIGER is required for use with the 2015-2019 ACS 5-year Summary datasets. The spatial dataset contains 220,333 block groups. Block group ID's, state names and state abbreviations were added from Census data, and EPA Regions are also assigned based on the state. The data for the socioeconomic indicators is from the Census Bureau's 2015-2019 American Community Survey (ACS) 5-year Summary datasets. The socioeconomic indicators (previously called demographic indexes) are pulled from ACS block group level tables. Seven socioeconomic indicators are derived from these ACS inputs (% people of color; % low income; % linguistically isolated; % less than high school education; % under age 5; % over age 64; % unemployment). The first 2 of these indicators are used to create the Demographic Index--(% people of color + % low income) / 2. To calculate the excess vulnerability of a block group, the difference between the block group demographic index value and national mean demographic index value is calculated. This number is multiplied by the environmental indicators listed in the paragraphs below to produce an EJ index for each environmental indicator. There are twelve different indicators for Pollution and Sources (previously called Environmental Indicators). The data for these come from multiple different sources. The Lead paint environmental indicator is "Percent Houses Built before 1960." The data are derived from the American Community Survey (ACS) 2015-2019 5-year Summary, block group-level estimates. The ACS information on lead paint is captured in the table Year Structure Built (ACS Table ID: B25034). The non-attainment concentrations for 2018 Ozone and Particulate Matter 2.5 constitute additional environmental indicators. The data are provided as a spreadsheet by EPA’s OAQPS using a fusion of monitor data and Community Multiscale Air Quality (CMAQ) air quality modeling. For more information about the methods used, see EPA Report EPA-454/S-15-001. The current source data is from October 2021. The AirToxScreen data, which is part of EPA’s 2017 Air Toxics Data Update, are used for three indicators: 2017 Air Toxics Cancer Risk, 2017 Air Toxics Respiratory HI, and 2017 Diesel Particulate Matter. The data were provided by the Office of Air Quality Planning and Standards (OAQPS) of EPA in November 2021. For the 2017 Air Toxics Cancer Risk, 2017 Air Toxics Respiratory HI, 2017 Diesel Particulate Matter, Ozone, and Particulate Matter 2.5 indicators, the source data is compiled by 2010 Census tract. This data is remapped to 2019 tracts by use of a tracts change lookup table. The resulting 2019 tract input is then assigned to 2019 block groups. The tract values are repeated for each child-level block group. The Traffic Proximity environmental indicator is created using highway segments from the Highway Performance Monitoring System (HPMS) lines from the 2019 HPMS release, Federal Highway Administration, US Department of Transportation. Proximity scores are calculated by assigning distance weighted scores to Census blocks (distance between block centroids and highway segments). To create the Superfund Proximity environmental indicator, final and proposed NPL sites were downloaded from the Superfund Enterprise Management System (SEMS) website on November 5, 2021. Proximity scores are calculated by assigning distance-weighted scores to Census blocks (distance between block centroids and facilities). To create the RMP Facility Proximity environmental indicator, RMP facilities are pulled from EPA’s Facility Registry Service (FRS) by selecting facilities included in the RMP National Program System. The source data was pulled on September 8, 2021. Proximity scores are calculated by assigning distance-weighted scores to Census blocks (distance between block centroids and facilities). For the Hazardous Waste Proximity environmental indicator, the source data consist of 668 Treatment, Storage and Disposal Facilities (TSDFs) of hazardous waste from EPA’s RCRAInfo and 18,105 LQG records from the 2019 BR. The source data was pulled on September 14, 2021. Proximity scores are calculated by assigning distance weighted scores to Census blocks (distance between block centroids and facilities). The Wastewater Discharge environmental indicator is based 2019 RSEI modeled outflows using DMR and TRI. The toxic concentrations were assigned to National Hydrography Dataset stream segments. Proximity scores are calculated by assigning inverse distance weighted scores to Census blocks (distance between block centroids and stream segments), and the weighted scores are then multiply by Toxic Concentrations to produce the final block scores. For the environmental indicators of Traffic Proximity, Superfund Proximity, RMP Facility Proximity, Hazardous Waste Proximity, and Wastewater Discharge, the results are aggregated to the parent block group using the population weight for each block within the block group. The population weights come from the 2010 Census. Minor adjustments are needed to crosswalk Census 2010 blocks and 2019 blocks. The Underground Storage Tanks (UST) environmental indicator scores are provided by EPA Office of Underground Storage Tanks, October 2021. The UST indicator is derived by the weighted sum of active leaking USTs and sum of active and temporarily out of service USTs divided by the buffered areas of 2019 block groups. The score is then joined to 2019 block groups. The Environmental Justice Indexes are created by taking the block group value for a given Pollution and Sources indicator and multiplying it by the population of the block group as well as the “excess vulnerability” value. There are 12 EJ Indexes, one for each Pollution and Sources indicator. In addition to generating EJ indexes for each environmental indicator described above, further processing was performed to create table elements for reporting, query and statistical analysis. The additional processing steps include creating percentiles, bins (grouping percentiles from 0 to 100), and text descriptions of indicators and indexes.
EPSG
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EJSCREEN_2021_StatePct_LOW_INCOME_ERWtrshd_wm
Feature Class
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OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
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Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
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ID
ID
String
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0
0
Census FIPS code for block group
EJSCREEN State Percentiles Feature Class Columns Explained excel file 2021
ACSTOTPOP
ACSTOTPOP
Integer
4
0
0
American Comunity Survey (ASC) Total population
EJSCREEN State Percentiles Feature Class Columns Explained excel file 2021
MINORPCT
MINORPCT
Double
8
0
0
% people of color
The percent of individuals in a block group who list their racial status as a race other than white alone and/or list their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. The word alone in this case indicates that the person is of a single race, since multi race individuals are tabulated in another category, for example, a non-Hispanic individual who is half white and half American Indian would be counted as a person of color by this definition. Census definitions of race/ethnicity are available at:https://www.census.gov/topics/population/race/about.html
USEPA
LOWINCPCT
LOWINCPCT
Double
8
0
0
% low income
The percent of a block group's population in households where the household income is less than twice the relevant level defining a poverty level.
USEPA
LESSHSPCT
LESSHSPCT
Double
8
0
0
% less than high school education
The percent of people age 25 or older in a block group with less than a high school degree.
USEPA
LINGISOPCT
LINGISOPCT
Double
8
0
0
% linguistically isolated
The percent of people in a block group living in linguistically isolated households. A household in which all members age 14 years and over speak a non-English language and also speak English less than "very well" (have difficulty with English) is linguistically isolated.
USEPA
UNDER5PCT
UNDER5PCT
Double
8
0
0
% under age 5
The percent of people in a block group under the age of 5.
USEPA
OVER64PCT
OVER64PCT
Double
8
0
0
% over age 64
The percent of people in a block group over the age of 64.
USEPA
VULEOPCT
VULEOPCT
Double
8
0
0
Demographic Index - The Demographic Index in EJScreen is a combination of percent low-income and percent minority, the two demographic factors that were explicitly named in Executive Order 12898 on Environmental Justice. For each Census block group, these two numbers are simply averaged together. The formula is as follows: Demographic Index = (% people of color + % low-income) / 2.
USEPA
STATE_NAME
STATE_NAME
String
20
0
0
ST_ABBREV
ST_ABBREV
String
2
0
0
REGION
REGION
SmallInteger
2
0
0
P_MINORPCT
P_MINORPCT
Double
8
0
0
Percentile for % people of color -
The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of individuals in a block group who list their racial status as a race other than white alone and/or list their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. The word "alone" in this case indicates that the person is of a single race, since multi race individuals are tabulated in another category, for example, a non-Hispanic individual who is half white and half American Indian would be counted as a person of color by this definition. Census definitions of race/ethnicity are available at: https://www.census.gov/topics/population/race/about.html
USEPA
P_LWINCPCT
P_LWINCPCT
Double
8
0
0
Percentile for % low income - The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of individuals whose ratio of household income to poverty level in the past 12 months was less than 2 (as a fraction of individuals for whom ratio was determined).
USEPA
P_LESHSPCT
P_LESHSPCT
Double
8
0
0
Percentile for % less than high school education - The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of people age 25 or older in a block group with less than a high school degree.
USEPA
P_LNGISPCT
P_LNGISPCT
Double
8
0
0
Percentile for % linguistically isolated - The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of people in a block group living in linguistically isolated households. A household in which all members age 14 years and over speak a non-English language and also speak English less than "very well" (have difficulty with English) is linguistically isolated.
USEPA
P_UNDR5PCT
P_UNDR5PCT
Double
8
0
0
Percentile for % under age 5 - The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of people in a block group under the age of 5.
USEPA
P_OVR64PCT
P_OVR64PCT
Double
8
0
0
Percentile for % over age 64 - The percentile (roughly what % of the State population lives in a block group with a lower value) of the percent of people in a block group over the age of 64.
USEPA
P_VULEOPCT
P_VULEOPCT
Double
8
0
0
Percentile for Demographic Index - The percentile (roughly what % of the Statepopulation lives in a block group with a lower value) of the Demographic Index (the average of percent people of color and percent low income in the block group).
USEPA
B_MINORPCT
B_MINORPCT
Integer
4
0
0
Map color bin for % people of color
B_LWINCPCT
B_LWINCPCT
Integer
4
0
0
Map color bin for % low income
B_LESHSPCT
B_LESHSPCT
Integer
4
0
0
Map color bin for % less than high school education
B_LNGISPCT
B_LNGISPCT
Integer
4
0
0
Map color bin for % linguistically isolated
B_UNDR5PCT
B_UNDR5PCT
Integer
4
0
0
Map color bin for % under age 5
B_OVR64PCT
B_OVR64PCT
Integer
4
0
0
Map color bin for % over age 64
B_VULEOPCT
B_VULEOPCT
Integer
4
0
0
Map color bin for Demographic Index
T_MINORPCT
% people of color
String
20
0
0
Map popup text for % people of color
T_LWINCPCT
% low income
String
20
0
0
Map popup text for % low income
T_LESHSPCT
% less than high school
String
20
0
0
Map popup text for the percent of people age 25 or older in a block group whose education is short of a high school diploma.
USEPA
T_LNGISPCT
% linguistic isolation
String
20
0
0
Map popup text for % linguistically isolated
T_UNDR5PCT
% under age 5
String
20
0
0
Map popup text for % under age 5
USEPA
T_OVR64PCT
% over age 64
String
20
0
0
Map popup text for % over age 64
USEPA
T_VULEOPCT
Demographic Index
String
20
0
0
Map popup text for Demographic Index
Shape_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Length
Double
8
0
0
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Double
8
0
0
lowIncome
% Low-Income
SmallInteger
2
0
0
minority
% Minority
SmallInteger
2
0
0
noHSDegree
% Less Than High School Education
SmallInteger
2
0
0
lingIsolate
% Linguistic Isolation
SmallInteger
2
0
0
under5yrs
% Under Age 5
SmallInteger
2
0
0
over64yrs
% Over Age 64
SmallInteger
2
0
0
lowIncome2020
% low Income pub 2020
SmallInteger
2
0
0
minority2020
% Minority pub 2020
SmallInteger
2
0
0
NoHSDegree2020
% Less Than High School Education pub 2020
SmallInteger
2
0
0
lingIsolate2020
% Linguistic Isolation pub 2020
SmallInteger
2
0
0
under5yrs2020
% Under Age 5 pub 2020
SmallInteger
2
0
0
lowIncome2021
% Low Income pub 2021
SmallInteger
2
0
0
minority2021
% Minority pub 2021
SmallInteger
2
0
0
noHSDegree2021
% Less Than High School Education pub 2021
SmallInteger
2
0
0
lingIsolate2021
% Linguistic Isolation pub 2021
SmallInteger
2
0
0
under5yrs2021
% Under Age 5 pub 2021
SmallInteger
2
0
0
over64yrs2021
% Over Age 62 pub 2021
SmallInteger
2
0
0
TotPop2021
Total Estimated Population pub 2021
Integer
4
0
0
CatBinLI2021
Category_Bin_LowInc_2021
String
255
0
0
CatBinMin2021
Category_Bin_Minority_2021
String
255
0
0
CatBinLTHS2021
Category_Bin_LTHS_2021
String
255
0
0
CatBinLinIso2021
Category_Bin_LingIsolate_2021
String
255
0
0
CatBinLT52021
Category_Bin_LT5Yrs_2021
String
255
0
0
CatBinGT642021
Category_Bin_GT64Yrs_2021
String
255
0
0
CtyFIPS
County FIPS
String
255
0
0
CntyName
CountyName
String
255
0
0
CatBinLI2020
Category_Bin_LowInc_2020
String
255
0
0
CatBinMin2020
Category_Bin_Minority_2020
String
255
0
0
CatBinLTHS2020
Category_Bin_LTHS_2020
String
255
0
0
CatBinLinIso2020
Category_Bin_LingIsolate_2020
String
255
0
0
CatBinLT52020
Category_Bin_LT5Yrs_2020
String
255
0
0
CatBinGT642020
Category_Bin_GT64Yrs_2020
String
255
0
0
over64yrs2020
% Over Age 64 pub 2020
SmallInteger
2
0
0
TotalPop2020
Estimated Total Population pub 2020
Integer
4
0
0
Please refer to technical documentation located on EPA's EJSCREEN application webpages for a full review of geoprocessing steps applied to the input data sources. https://www.epa.gov/ejscreen
United States Environmental Protection Agency (USEPA)
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0
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