U.S. Environmental Protection Agency Office of Environmental Justice20220222US EPA Environmental Justice Screening and Mapping Tool (EJSCREEN) Block Group Level Indicators in Florida - 2021vector digital dataState of Floridahttps://gaftp.epa.gov/EJSCREEN/Washington, D.C.U.S. Environmental Protection AgencyThis dataset contains environmental and demographic indicators in Florida at block group-level geography from the US EPA Environmental Justice Screening and Mapping Tool (EJSCREEN). EJSCREEN contains environmental indicators, which range from estimates of human health risk to proxies for potential exposure such as proximity to hazardous waste sites. The tool also contains demographic indicators and a demographic index. The EJSCREEN demographic index uses the average of two indicators, low-income and minority and is combined with an environmental indicator to create the associated EJ Index. The environmental, demographic, and EJ indicators and indexes are all calculated for each census geographic unit, and can be summarized within a defined buffer area.EJScreen allows users to access high-resolution environmental and demographic information for locations in the United States, and compare their selected locations to the rest of the state, EPA region, or the nation.
The tool may help users identify areas with:
- People of color and/or low-income populations
- Potential environmental quality issues
- A combination of environmental and demographic indicators that is greater than usual
- Other factors that may be of interest
EJScreen may also be used to support:
- Educational programs
- Grant writing
- Community awareness efforts
- Other purposes
This screening tool and data may be of interest to community residents or other stakeholders as they search for environmental or demographic information. It can also support a wide range of research and policy goals. The public has used EJScreen in many different locations and in many different ways.
EPA is sharing EJScreen with the public:
- to be more transparent about how we consider environmental justice in our work,
- to assist our stakeholders in making informed decisions about pursuing environmental justice and
- to create a common starting point between the agency and the public when looking at issues related to environmental justice.
Screening tools should be used for a "screening-level" look. Screening is a useful first step in understanding or highlighting locations that may be candidates for further review. However, it is essential to remember that screening-level results:
- do not, by themselves, determine the existence or absence of environmental justice concerns in a given location
- they do not provide a risk assessment and
- have other significant limitations.
More information on EJSCREEN can be found at https://www.epa.gov/ejscreen. Environmental Indicators Selected for EJSCREEN:
Some environmental indicators used in EJSCREEN quantify proximity to and the numbers of certain
types of potential sources of exposure to environmental pollutants, such as nearby hazardous waste
sites or traffic. The lead paint indicator indicates the presence of older housing, which often, but not
always, indicates the presence of lead paint, and therefore the possibility of exposure. In some cases,
the term “exposure” is used very broadly here to refer to the potential for exposure. Others indicators in
EJSCREEN are estimates of ambient levels of air pollutants, such as PM2.5, ozone, and diesel particulate
matter. Still others are actual estimates of air toxics-related cancer risk, or a hazard index, which
summarizes the ratios of ambient air toxics levels to health-based reference concentrations. In other
words, these environmental indicators vary widely in what they indicate, as discussed further below.
A variety of considerations has informed the selection of these environmental indicators; in general, the
selected indicators exhibit the following characteristics:
• Resolution: Screening level data are available (or could be readily developed) at the block
group level (or at least close to this resolution).
• Coverage: Screening level data are available (or could be readily developed) for the entire
United States (or with nearly complete coverage).
• Relevance to EJ: Pollutants or impacts are relevant to EJ (e.g., differences between groups
have been indicated in exposures, susceptibility, or health endpoints associated with the
exposures)
• Public health significance: Pollutants or impacts are potentially important in the United
States (e.g., notable impacts estimated or significant concerns have been expressed, at least
locally, or exposure has been linked to health endpoints with substantial impacts
nationwide).
EPA selected environmental indicators after a review of data availability (including the criteria and
review of data availability for an Environmental Quality Index, now provided by county in Messer, Jagai,
Rappazzo, & Lobdell (2014), and described in Lobdell, Jagai, Rappazzo, & Messer (2011)); health
disparity information (e.g., CDC’s major 2011 report on health disparities (Centers for Disease Control
and Prevention, 2011a)); risk ranking studies (e.g., Unfinished Business (U.S. EPA, 1987), Reducing Risk
(U.S. EPA, 1992), and related reports); and risk estimates from major studies (e.g., related to PM2.5
ambient standards). EPA also reviewed data from the CDC (Centers for Disease Control and Prevention,
2011c) and other sources in the federal government (Fedstats, 2007), and consulted EPA Regions and
program offices that are responsible for data collection and analysis under EPA’s key environmental
statutes. The State of California’s work on CalEnviroScreen5 was also tracked throughout its
development. Other internal EPA data tools were also examined, including EJSEAT, EJVIEW, C-FERST, and
tools used in EPA Regional Offices.
After review, EPA selected the following environmental indicators for use in the public version of
EJSCREEN:
Air pollution:
o PM2.5 level in air.
o Ozone level in air.
o NATA air toxics:
- Diesel particulate matter level in air.
- Air toxics cancer risk.
- Air toxics respiratory hazard index.
Traffic proximity and volume: Amount of vehicular traffic nearby, and distance from roads.
Lead paint indicator: Percentage of housing units built before 1960, as an indicator of
potential exposure to lead.
Proximity to waste and hazardous chemical facilities or sites: Number of significant
industrial facilities and/or hazardous waste sites nearby, and distance from those:
o National Priorities List (NPL) sites.
o Risk Management Plan (RMP) Facilities.
o Hazardous waste Treatment, Storage and Disposal Facilities (TSDFs).
Wastewater discharge indicator: Proximity to toxicity-weighted wastewater discharges
More information about EJSCREEN methodology can be found in the links below:
https://www.epa.gov/ejscreen
https://www.epa.gov/ejscreen/technical-documentation-ejscreen20211231publication dateAnnually-87.639357-79.81221531.04264124.354695ISO 19115 Topic CategoriesclimatologyMeteorologyAtmosphereenvironmenthealthsocietyNoneCaveats and Limitations of EJSCREEN:
EJSCREEN is a pre-decisional screening tool, and was not designed to be the basis for agency decision
making or determinations regarding the existence or absence of EJ concerns. It also should not be used
to identify or label an area as an “EJ Community.” Instead, EJSCREEN is designed as a starting point, to
highlight the extent to which certain locations may be candidates for further review or outreach.
EJSCREEN’s initial results should be supplemented with additional information and local knowledge
whenever appropriate, for a more complete picture of a location. Additional considerations and data,
such as national, regional, or local information and concerns, along with appropriate analysis, should
form the basis for any decisions.
EJSCREEN, as a screening tool, is more limited than a detailed analysis in two key ways. First, it has data
on only some of the relevant issues, and second, there is uncertainty in the data it does have. It is
important to understand each of these limitations.
The first limitation arises because a screening tool cannot capture all the relevant issues that should be
considered (e.g., other local environmental concerns). Any national screening tool must balance a desire
for data quality and national coverage against the goal of including as many important environmental
indicators as feasible given resource constraints. Many environmental concerns are not yet included in
comprehensive, nationwide databases. For example, data on environmental indicators such as local
drinking water quality and indoor air quality were not available with adequate quality, coverage and/or
resolution to be included in this national screening tool. EJSCREEN cannot provide data on every
environmental impact and demographic factor that may be important to any location.
The second important limitation is that EJSCREEN relies on demographic and environmental estimates
that involve substantial uncertainty. This is especially true when looking at a small geographic area, such
as a single Census block group. A single block group is often small and has uncertain estimates. A buffer
that is roughly the same size as a block group or smaller will introduce additional uncertainty because it
has to approximate the locations of residences. Therefore, it is typically very useful to summarize
EJSCREEN data for a larger area, covering several block groups, in what is called a “buffer” report, as
explained later in this document. There is a tradeoff between resolution and precision: Detailed maps at
high resolution can suggest the presence of a local “hotpot,” but are uncertain. Estimates based on
larger areas will provide more confidence and precision, but may overlook local “hotpots” if not
supplemented with detailed maps.
The demographic uncertainty combined with uncertainty in environmental data means EJ index values
are often quite uncertain for a single block group. Therefore, modest differences in percentile scores
between block groups or small buffers should not be interpreted as meaningful because of the
uncertainties in demographic and environmental data at the block group level. We do not have a high
degree of confidence when comparing or ranking places with only modest differences in estimated
percentile. For this reason, it is critical that EJSCREEN results be interpreted carefully, particularly for
individual block groups, and that additional information be used to supplement or follow up on
screening, where appropriate.
The demographic estimates, such as percent low-income, come from the American Community Survey
(ACS) from the United States Census Bureau. The ACS is comprised of surveys, not a full census of all
households. This means the Census Bureau may estimate that a block group is 30% low-income, for
example, but it might actually be 20% or 40% in some cases (see Appendix B for a discussion of
uncertainty in demographics).
Uncertainties are also discussed in section 2 (with regard to buffer reports), and Appendix B (in
discussions of buffering details and demographic data).
Related to the issue of uncertainty is that fact that the environmental indicators are only screening-level
proxies for actual exposures or health risks. This is particularly true for the proximity indicators, for
example. Even for the indicators that directly estimate risks or hazards, as with the air toxics cancer risk
indicator, estimates have substantial uncertainty because emissions, ambient levels in the air, exposure
of individuals, and toxicity are uncertain. Section 3 provides technical details on each environmental
indicator.
The inclusion of a dataset in EJSCREEN does not imply it is the newest, best, or primary estimate of
actual conditions or risks. Estimates are based on historical data and may not reflect current or future
conditions. The vintage of environmental indicators varies and is not the same as the vintage of the
demographic data. The NATA air toxics indicators and the PM2.5 and ozone indicators in particular should
be viewed with this in mind, because emissions related to PM2.5, ozone, and air toxics generally have
decreased in recent years. This version of EJSCREEN incorporated the most recent data that were
available at the time of each indicator’s development. Every attempt will be made to use the most
recent appropriate data available in future updates of EJSCREEN. There is always a delay between the
release of raw data and their eventual incorporation into any models, tools, or maps. It is also useful to
note that although the raw numbers for some indicators do not represent current conditions, the
percentiles are much more likely to be reasonably representative of today’s conditions in most
locations. This is because even if emissions have been significantly reduced overall, for example, the
differences between various locations are unlikely to have changed as dramatically, especially when the
reductions have come from national regulations and other trends affecting entire industries or sectors in
many locations. For this reason, the percentiles may be more representative of current conditions than
the raw values of the indicators. Finally, some supplementary maps and local information can
complement the EJSCREEN indicators to provide more recent information. In particular, EJSCREEN also
provides updated maps of PM2.5 and ozone nonattainment areas (areas not meeting national ambient
air quality standards).
There are also some limitations in geographic coverage -- EJSCREEN lacks data in some locations for
some indicators, such as in Alaska, Hawaii, and Puerto Rico.
In short, as with any screening tool, the indicators in EJSCREEN cannot address all the considerations
that may be relevant to a given situation, they are often only a screening-level proxy for a given issue,
and in any case, there is significant uncertainty involved, particularly for a single block group. For these
types of reasons, among others, it generally is not appropriate to rely on any screening tool as the basis
for a key decision. It is often very useful to obtain information on other issues not included in EJSCREEN,
updated information when available, as well as local knowledge, data, and concerns.U.S. Environmental Protection Agency Office of Environmental Justicemailing and physical address1200 Pennsylvania Ave, N.W.WashingtonD.C. 20460USUS EPA Environmental Justice Screening and Mapping Tool (EJSCREEN) Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.onlineSpatial and Attribute InformationUnknownUSEPAGeoPlan Process Steps:
EJSCREEN data was downloaded from https://gaftp.epa.gov/EJSCREEN on 3/9/2022.
Original filename: EJSCREEN_Full
Original projection: WGS_1984.
Data was exported as a subset of the original file, containing only records for the State of Florida.
(Attribute selection query: ID LIKE '12%').
The layer was reprojected to FGDL Albers (EPSG: 3087).
Added Descript field based on ID.
Added FGDLAQDATE based on date downloaded from the source.
Renamed the file ejscreen_blkrgp_202120220309UF GeoPlan CenterVectorSimpleFALSE0FALSEFALSEejscreen_blkgrp_2021EJSCREEN_BLKGRP_2021.DBFUSEPAFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.ShapeGeometry000IDCensus FIPS code for block group
US EPAIDString1200ACSTOTPOPTotal population
US EPAACSTOTPOPInteger10100ACSIPOVBASPopulation for whom poverty status is determined
US EPAACSIPOVBASInteger10100ACSEDUCBASPopulation 25 years and over
US EPAACSEDUCBASInteger10100ACSTOTHHHouseholds (for linguistic isolation)
US EPAACSTOTHHInteger10100ACSTOTHUHousing units (for % built pre-1960)
US EPAACSTOTHUInteger10100ACSUNEMPBAUnemployment base--persons in civilian labor force (unemployment rate)
US EPAACSUNEMPBAInteger10100MINORPOPPeople of color
US EPAMINORPOPInteger10100MINORPCT% people of color
US EPAMINORPCTDouble19188LOWINCOMELow income
US EPALOWINCOMEInteger10100LOWINCPCT% low income
US EPALOWINCPCTDouble19188LESSHSLess than high school education
US EPALESSHSInteger10100LESSHSPCT% less than high school education
US EPALESSHSPCTDouble19188LINGISOLinguistically isolated
US EPALINGISOInteger10100LINGISOPCT% linguistically isolated
US EPALINGISOPCTDouble19188UNDER5Under age 5
US EPAUNDER5Integer10100UNDER5PCT% under age 5
US EPAUNDER5PCTDouble19188OVER64Over age 64
US EPAOVER64Integer10100OVER64PCT% over age 64
US EPAOVER64PCTDouble19188PRE1960Housing units built before 1960
US EPAPRE1960Integer10100PRE1960PCT% housing units built before 1960
US EPAPRE1960PCTDouble19188UNEMPLOYEDUnemployed in civilian labor force
US EPAUNEMPLOYEDInteger10100UNEMPPCTUnemployment rate
US EPAUNEMPPCTDouble19188VULEOPCTDemographic Index
US EPAVULEOPCTDouble19188VULEOIntermediate variable used for the Demographic Index
US EPAVULEODouble19188DISPEOIntermediate variable used for the Demographic Index
US EPADISPEODouble19188DSLPM2017 Diesel particulate matter
US EPADSLPMDouble19188CANCER2017 Air toxics cancer risk
US EPACANCERDouble19188RESP2017 Air toxics respiratory HI
US EPARESPDouble19188PTRAFTraffic proximity
US EPAPTRAFDouble19188PWDISWastewater discharge
US EPAPWDISDouble19188PNPLSuperfund proximity
US EPAPNPLDouble19188PRMPRMP facility proximity
US EPAPRMPDouble19188PTSDFHazardous waste proximity
US EPAPTSDFDouble19188OZONEOzone
US EPAOZONEDouble19188PM25Particulate Matter 2.5
US EPAPM25Double19188USTUnderground storage tanks
US EPAUSTDouble19188D_LDPNT_2EJ Index for Lead paint
US EPAD_LDPNT_2Double19188D_DSLPM_2EJ Index for 2017 Diesel particulate matter
US EPAD_DSLPM_2Double19188D_CANCR_2EJ Index for 2017 Air toxics cancer risk
US EPAD_CANCR_2Double19188D_RESP_2EJ Index for 2017 Air toxics respiratory HI
US EPAD_RESP_2Double19188D_PTRAF_2EJ Index for Traffic proximity
US EPAD_PTRAF_2Double19188D_PWDIS_2EJ Index for Wastewater discharge
US EPAD_PWDIS_2Double19188D_PNPL_2EJ Index for Superfund Proximity
US EPAD_PNPL_2Double19188D_PRMP_2EJ Index for RMP Facility Proximity
US EPAD_PRMP_2Double19188D_PTSDF_2EJ Index for Hazardous waste proximity
US EPAD_PTSDF_2Double19188D_OZONE_2EJ Index for Ozone
US EPAD_OZONE_2Double19188D_PM25_2EJ Index for Particulate Matter 2.5
US EPAD_PM25_2Double19188D_UST_2EJ Index for Underground storage tanks
US EPAD_UST_2Double19188STATE_NAMEName of state
US EPASTATE_NAMEString2000ST_ABBREVTwo-letter abbreviation for state
US EPAST_ABBREVString200REGIONUS EPA region number
US EPAREGIONInteger550P_MINORPCTPercentile for % people of color
US EPAP_MINORPCTDouble19188P_LWINCPCTPercentile for % low income
US EPAP_LWINCPCTDouble19188P_LESHSPCTPercentile for % less than high school education
US EPAP_LESHSPCTDouble19188P_LNGISPCTPercentile for % linguistically isolated
US EPAP_LNGISPCTDouble19188P_UNDR5PCTPercentile for % under age 5
US EPAP_UNDR5PCTDouble19188P_OVR64PCTPercentile for % over age 64
US EPAP_OVR64PCTDouble19188P_LDPNTPercentile for Lead paint
US EPAP_LDPNTDouble19188P_UNEMPPCTPercentile for Unemployment rate
US EPAP_UNEMPPCTDouble19188P_VULEOPCTPercentile for Demographic Index
US EPAP_VULEOPCTDouble19188P_DSLPMPercentile for 2017 Diesel particulate matter
US EPAP_DSLPMDouble19188P_CANCRPercentile for 2017 Air toxics cancer risk
US EPAP_CANCRDouble19188P_RESPPercentile for 2017 Air toxics respiratory HI
US EPAP_RESPDouble19188P_PTRAFPercentile for Traffic proximity
US EPAP_PTRAFDouble19188P_PWDISPercentile for Wastewater discharge
US EPAP_PWDISDouble19188P_PNPLPercentile for Superfund proximity
US EPAP_PNPLDouble19188P_PRMPPercentile for RMP facility proximity
US EPAP_PRMPDouble19188P_PTSDFPercentile for Hazardous waste proximity
US EPAP_PTSDFDouble19188P_OZONEPercentile for Ozone
US EPAP_OZONEDouble19188P_PM25Percentile for Particulate Matter 2.5
US EPAP_PM25Double19188P_USTPercentile for Underground storage tanks
US EPAP_USTDouble19188P_LDPNT_D2Percentile for EJ Index for Lead paint
US EPAP_LDPNT_D2Double19188P_DSLPM_D2Percentile for EJ Index for 2017 Diesel particulate matter
US EPAP_DSLPM_D2Double19188P_CANCR_D2Percentile for EJ Index for 2017 Air toxics cancer risk
US EPAP_CANCR_D2Double19188P_RESP_D2Percentile for EJ Index for 2017 Air toxics respiratory HI
US EPAP_RESP_D2Double19188P_PTRAF_D2Percentile for EJ Index for Traffic proximity
US EPAP_PTRAF_D2Double19188P_PWDIS_D2Percentile for EJ Index for Wastewater discharge
US EPAP_PWDIS_D2Double19188P_PNPL_D2Percentile for EJ Index for Superfund proximity
US EPAP_PNPL_D2Double19188P_PRMP_D2Percentile for EJ Index for RMP Facility Proximity
US EPAP_PRMP_D2Double19188P_PTSDF_D2Percentile for EJ Index for Hazardous waste proximity
US EPAP_PTSDF_D2Double19188P_OZONE_D2Percentile for EJ Index for Ozone
US EPAP_OZONE_D2Double19188P_PM25_D2Percentile for EJ Index for Particulate Matter 2.5
US EPAP_PM25_D2Double19188P_UST_D2Percentile for EJ Index for Underground storage tanks
US EPAP_UST_D2Double19188B_MINORPCTMap color bin for % people of color
US EPAB_MINORPCTInteger10100B_LWINCPCTMap color bin for % low income
US EPAB_LWINCPCTInteger10100B_LESHSPCTMap color bin for % less than high school education
US EPAB_LESHSPCTInteger10100B_LNGISPCTMap color bin for % linguistically isolated
US EPAB_LNGISPCTInteger10100B_UNDR5PCTMap color bin for % under age 5
US EPAB_UNDR5PCTInteger10100B_OVR64PCTMap color bin for % over age 64
US EPAB_OVR64PCTInteger10100B_LDPNTMap color bin for Lead paint
US EPAB_LDPNTInteger10100B_UNEMPPCTMap color bin for Unemployment rate
US EPAB_UNEMPPCTInteger10100B_VULEOPCTMap color bin for Demographic Index
US EPAB_VULEOPCTInteger10100B_DSLPMMap color bin for 2017 Diesel particulate matter
US EPAB_DSLPMInteger10100B_CANCRMap color bin for 2017 Air toxics cancer risk
US EPAB_CANCRInteger10100B_RESPMap color bin for 2017 Air toxics respiratory HI
US EPAB_RESPInteger10100B_PTRAFMap color bin for Traffic proximity
US EPAB_PTRAFInteger10100B_PWDISMap color bin for Wastewater discharge
US EPAB_PWDISInteger10100B_PNPLMap color bin for Superfund proximity
US EPAB_PNPLInteger10100B_PRMPMap color bin for RMP facility proximity
US EPAB_PRMPInteger10100B_PTSDFMap color bin for Hazardous waste proximity
US EPAB_PTSDFInteger10100B_OZONEMap color bin for Ozone
US EPAB_OZONEInteger10100B_PM25Map color bin for Particulate Matter 2.5
US EPAB_PM25Integer10100B_USTMap color bin for Underground storage tanks
US EPAB_USTInteger10100B_LDPNT_D2Map color bin for EJ Index for Lead paint
US EPAB_LDPNT_D2Integer10100B_DSLPM_D2Map color bin for EJ Index for 2017 Diesel particulate matter
US EPAB_DSLPM_D2Integer10100B_CANCR_D2Map color bin for EJ Index for 2017 Air toxics cancer risk
US EPAB_CANCR_D2Integer10100B_RESP_D2Map color bin for EJ Index for 2017 Air toxics respiratory HI
US EPAB_RESP_D2Integer10100B_PTRAF_D2Map color bin for EJ Index for Traffic proximity
US EPAB_PTRAF_D2Integer10100B_PWDIS_D2Map color bin for EJ Index for Wastewater discharge
US EPAB_PWDIS_D2Integer10100B_PNPL_D2Map color bin for EJ Index for Superfund proximity
US EPAB_PNPL_D2Integer10100B_PRMP_D2Map color bin for EJ Index for RMP Facility Proximity
US EPAB_PRMP_D2Integer10100B_PTSDF_D2Map color bin for EJ Index for Hazardous waste proximity
US EPAB_PTSDF_D2Integer10100B_OZONE_D2Map color bin for EJ Index for Ozone
US EPAB_OZONE_D2Integer10100B_PM25_D2Map color bin for EJ Index for Particulate Matter 2.5
US EPAB_PM25_D2Integer10100B_UST_D2Map color bin for EJ Index for Underground storage tanks
US EPAB_UST_D2Integer10100T_MINORPCTMap popup text for % people of color
US EPAT_MINORPCTString2000T_LWINCPCTMap popup text for % low income
US EPAT_LWINCPCTString2000T_LESHSPCTMap popup text for % less than high school education
US EPAT_LESHSPCTString2000T_LNGISPCTMap popup text for % linguistically isolated
US EPAT_LNGISPCTString2000T_UNDR5PCTMap popup text for % under age 5
US EPAT_UNDR5PCTString2000T_OVR64PCTMap popup text for % over age 64
US EPAT_OVR64PCTString2000T_UNEMPPCTMap popup text for Unemployment rate
US EPAT_UNEMPPCTString2000T_VULEOPCTMap popup text for Demographic Index
US EPAT_VULEOPCTString2000T_LDPNTMap popup text for Lead paint
US EPAT_LDPNTString7000T_LDPNT_D2Map popup text for EJ Index for Lead paint
US EPAT_LDPNT_D2String1000T_DSLPMMap popup text for 2017 Diesel particulate matter
US EPAT_DSLPMString7000T_DSLPM_D2Map popup text for EJ Index for 2017 Diesel particulate matter
US EPAT_DSLPM_D2String1000T_CANCRMap popup text for 2017 Air toxics cancer risk
US EPAT_CANCRString7000T_CANCR_D2Map popup text for EJ Index for 2017 Air toxics cancer risk
US EPAT_CANCR_D2String1000T_RESPMap popup text for 2017 Air toxics respiratory HI
US EPAT_RESPString7000T_RESP_D2Map popup text for EJ Index for 2017 Air toxics respiratory HI
US EPAT_RESP_D2String1000T_PTRAFMap popup text for Traffic proximity
US EPAT_PTRAFString7000T_PTRAF_D2Map popup text for EJ Index for Traffic proximity
US EPAT_PTRAF_D2String1000T_PWDISMap popup text for Wastewater discharge
US EPAT_PWDISString7000T_PWDIS_D2Map popup text for EJ Index for Wastewater discharge
US EPAT_PWDIS_D2String1000T_PNPLMap popup text for Superfund proximity
US EPAT_PNPLString7000T_PNPL_D2Map popup text for EJ Index for Superfund proximity
US EPAT_PNPL_D2String1000T_PRMPMap popup text for RMP facility proximity
US EPAT_PRMPString7000T_PRMP_D2Map popup text for EJ Index for RMP facilities proximity
US EPAT_PRMP_D2String1000T_PTSDFMap popup text for Hazardous waste proximity
US EPAT_PTSDFString7000T_PTSDF_D2Map popup text for EJ Index for Hazardous waste proximity
US EPAT_PTSDF_D2String1000T_OZONEMap popup text for Ozone
US EPAT_OZONEString7000T_OZONE_D2Map popup text for EJ Index for Ozone
US EPAT_OZONE_D2String1000T_PM25Map popup text for Particulate Matter 2.5
US EPAT_PM25String7000T_PM25_D2Map popup text for EJ Index for Particulate Matter 2.5
US EPAT_PM25_D2String1000T_USTMap popup text for Underground storage tanks
US EPAT_USTString7000T_UST_D2Map popup text for EJ Index for Underground storage tanks
US EPAT_UST_D2String1000AREALANDLand area in square meters
US EPAAREALANDDouble19188AREAWATERWater area in square meters
US EPAAREAWATERDouble19188NPL_CNTNumber of Superfund facilities in the block group
US EPANPL_CNTInteger550TSDF_CNTNumber of Hazardous waste facilities in the block group
US EPATSDF_CNTInteger550DESCRIPTField added by FGDL based on NAME.GeoPlanDESCRIPTString5000FGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger10100SHAPE_AREASHAPE_AREADouble1900Area of feature in internal units squared.EsriPositive real numbers that are automatically generated.SHAPE_LENSHAPE_LENDouble1900Florida Geographic Data Library (FGDL)mailing address431 Architecture PO Box 115706GainesvilleFL32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.20220309U.S. Environmental Protection Agency - Office of Policymailing and physical addressWashingtonD.C. 204601200 Pennsylvania Ave, N.W.FGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local time1.0ejscreen_blkgrp_202152654.863000799725.48540345682.464717781582.71757010.000file://\\data.ufdc-fs01.osg.ufl.edu\geo-fs8-qaqc\finaldata\state\post_load\ejscreen_blkgrp_2021.shpLocal Area Network002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>FeatureClassToFeatureClass Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp "Database Connections\poke_etat.sde\aaa\" EJSCREEN_BLKGRP_2021 # "ID "ID" true true false 12 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ID,-1,-1;ACSTOTPOP "ACSTOTPOP" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSTOTPOP,-1,-1;ACSIPOVBAS "ACSIPOVBAS" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSIPOVBAS,-1,-1;ACSEDUCBAS "ACSEDUCBAS" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSEDUCBAS,-1,-1;ACSTOTHH "ACSTOTHH" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSTOTHH,-1,-1;ACSTOTHU "ACSTOTHU" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSTOTHU,-1,-1;ACSUNEMPBA "ACSUNEMPBA" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ACSUNEMPBA,-1,-1;MINORPOP "MINORPOP" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,MINORPOP,-1,-1;MINORPCT "MINORPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,MINORPCT,-1,-1;LOWINCOME "LOWINCOME" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LOWINCOME,-1,-1;LOWINCPCT "LOWINCPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LOWINCPCT,-1,-1;LESSHS "LESSHS" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LESSHS,-1,-1;LESSHSPCT "LESSHSPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LESSHSPCT,-1,-1;LINGISO "LINGISO" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LINGISO,-1,-1;LINGISOPCT "LINGISOPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,LINGISOPCT,-1,-1;UNDER5 "UNDER5" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,UNDER5,-1,-1;UNDER5PCT "UNDER5PCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,UNDER5PCT,-1,-1;OVER64 "OVER64" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,OVER64,-1,-1;OVER64PCT "OVER64PCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,OVER64PCT,-1,-1;PRE1960 "PRE1960" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PRE1960,-1,-1;PRE1960PCT "PRE1960PCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PRE1960PCT,-1,-1;UNEMPLOYED "UNEMPLOYED" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,UNEMPLOYED,-1,-1;UNEMPPCT "UNEMPPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,UNEMPPCT,-1,-1;VULEOPCT "VULEOPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,VULEOPCT,-1,-1;VULEO "VULEO" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,VULEO,-1,-1;DISPEO "DISPEO" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,DISPEO,-1,-1;DSLPM "DSLPM" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,DSLPM,-1,-1;CANCER "CANCER" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,CANCER,-1,-1;RESP "RESP" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,RESP,-1,-1;PTRAF "PTRAF" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PTRAF,-1,-1;PWDIS "PWDIS" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PWDIS,-1,-1;PNPL "PNPL" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PNPL,-1,-1;PRMP "PRMP" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PRMP,-1,-1;PTSDF "PTSDF" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PTSDF,-1,-1;OZONE "OZONE" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,OZONE,-1,-1;PM25 "PM25" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,PM25,-1,-1;UST "UST" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,UST,-1,-1;D_LDPNT_2 "D_LDPNT_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_LDPNT_2,-1,-1;D_DSLPM_2 "D_DSLPM_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_DSLPM_2,-1,-1;D_CANCR_2 "D_CANCR_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_CANCR_2,-1,-1;D_RESP_2 "D_RESP_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_RESP_2,-1,-1;D_PTRAF_2 "D_PTRAF_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PTRAF_2,-1,-1;D_PWDIS_2 "D_PWDIS_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PWDIS_2,-1,-1;D_PNPL_2 "D_PNPL_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PNPL_2,-1,-1;D_PRMP_2 "D_PRMP_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PRMP_2,-1,-1;D_PTSDF_2 "D_PTSDF_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PTSDF_2,-1,-1;D_OZONE_2 "D_OZONE_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_OZONE_2,-1,-1;D_PM25_2 "D_PM25_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_PM25_2,-1,-1;D_UST_2 "D_UST_2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,D_UST_2,-1,-1;STATE_NAME "STATE_NAME" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,STATE_NAME,-1,-1;ST_ABBREV "ST_ABBREV" true true false 2 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,ST_ABBREV,-1,-1;REGION "REGION" true true false 5 Long 0 5 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,REGION,-1,-1;P_MINORPCT "P_MINORPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_MINORPCT,-1,-1;P_LWINCPCT "P_LWINCPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_LWINCPCT,-1,-1;P_LESHSPCT "P_LESHSPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_LESHSPCT,-1,-1;P_LNGISPCT "P_LNGISPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_LNGISPCT,-1,-1;P_UNDR5PCT "P_UNDR5PCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_UNDR5PCT,-1,-1;P_OVR64PCT "P_OVR64PCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_OVR64PCT,-1,-1;P_LDPNT "P_LDPNT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_LDPNT,-1,-1;P_UNEMPPCT "P_UNEMPPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_UNEMPPCT,-1,-1;P_VULEOPCT "P_VULEOPCT" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_VULEOPCT,-1,-1;P_DSLPM "P_DSLPM" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_DSLPM,-1,-1;P_CANCR "P_CANCR" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_CANCR,-1,-1;P_RESP "P_RESP" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_RESP,-1,-1;P_PTRAF "P_PTRAF" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PTRAF,-1,-1;P_PWDIS "P_PWDIS" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PWDIS,-1,-1;P_PNPL "P_PNPL" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PNPL,-1,-1;P_PRMP "P_PRMP" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PRMP,-1,-1;P_PTSDF "P_PTSDF" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PTSDF,-1,-1;P_OZONE "P_OZONE" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_OZONE,-1,-1;P_PM25 "P_PM25" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PM25,-1,-1;P_UST "P_UST" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_UST,-1,-1;P_LDPNT_D2 "P_LDPNT_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_LDPNT_D2,-1,-1;P_DSLPM_D2 "P_DSLPM_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_DSLPM_D2,-1,-1;P_CANCR_D2 "P_CANCR_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_CANCR_D2,-1,-1;P_RESP_D2 "P_RESP_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_RESP_D2,-1,-1;P_PTRAF_D2 "P_PTRAF_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PTRAF_D2,-1,-1;P_PWDIS_D2 "P_PWDIS_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PWDIS_D2,-1,-1;P_PNPL_D2 "P_PNPL_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PNPL_D2,-1,-1;P_PRMP_D2 "P_PRMP_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PRMP_D2,-1,-1;P_PTSDF_D2 "P_PTSDF_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PTSDF_D2,-1,-1;P_OZONE_D2 "P_OZONE_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_OZONE_D2,-1,-1;P_PM25_D2 "P_PM25_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_PM25_D2,-1,-1;P_UST_D2 "P_UST_D2" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,P_UST_D2,-1,-1;B_MINORPCT "B_MINORPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_MINORPCT,-1,-1;B_LWINCPCT "B_LWINCPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_LWINCPCT,-1,-1;B_LESHSPCT "B_LESHSPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_LESHSPCT,-1,-1;B_LNGISPCT "B_LNGISPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_LNGISPCT,-1,-1;B_UNDR5PCT "B_UNDR5PCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_UNDR5PCT,-1,-1;B_OVR64PCT "B_OVR64PCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_OVR64PCT,-1,-1;B_LDPNT "B_LDPNT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_LDPNT,-1,-1;B_UNEMPPCT "B_UNEMPPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_UNEMPPCT,-1,-1;B_VULEOPCT "B_VULEOPCT" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_VULEOPCT,-1,-1;B_DSLPM "B_DSLPM" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_DSLPM,-1,-1;B_CANCR "B_CANCR" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_CANCR,-1,-1;B_RESP "B_RESP" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_RESP,-1,-1;B_PTRAF "B_PTRAF" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PTRAF,-1,-1;B_PWDIS "B_PWDIS" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PWDIS,-1,-1;B_PNPL "B_PNPL" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PNPL,-1,-1;B_PRMP "B_PRMP" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PRMP,-1,-1;B_PTSDF "B_PTSDF" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PTSDF,-1,-1;B_OZONE "B_OZONE" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_OZONE,-1,-1;B_PM25 "B_PM25" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PM25,-1,-1;B_UST "B_UST" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_UST,-1,-1;B_LDPNT_D2 "B_LDPNT_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_LDPNT_D2,-1,-1;B_DSLPM_D2 "B_DSLPM_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_DSLPM_D2,-1,-1;B_CANCR_D2 "B_CANCR_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_CANCR_D2,-1,-1;B_RESP_D2 "B_RESP_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_RESP_D2,-1,-1;B_PTRAF_D2 "B_PTRAF_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PTRAF_D2,-1,-1;B_PWDIS_D2 "B_PWDIS_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PWDIS_D2,-1,-1;B_PNPL_D2 "B_PNPL_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PNPL_D2,-1,-1;B_PRMP_D2 "B_PRMP_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PRMP_D2,-1,-1;B_PTSDF_D2 "B_PTSDF_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PTSDF_D2,-1,-1;B_OZONE_D2 "B_OZONE_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_OZONE_D2,-1,-1;B_PM25_D2 "B_PM25_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_PM25_D2,-1,-1;B_UST_D2 "B_UST_D2" true true false 10 Long 0 10 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,B_UST_D2,-1,-1;T_MINORPCT "T_MINORPCT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,T_MINORPCT,-1,-1;T_LWINCPCT "T_LWINCPCT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,T_LWINCPCT,-1,-1;T_LESHSPCT "T_LESHSPCT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,T_LESHSPCT,-1,-1;T_LNGISPCT "T_LNGISPCT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,T_LNGISPCT,-1,-1;T_UNDR5PCT "T_UNDR5PCT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ejscreen_blkgrp_2021.shp,T_UNDR5PCT,-1,-1;T_OVR64PCT 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EJSCREEN contains environmental indicators, which range from estimates of human health risk to proxies for potential exposure such as proximity to hazardous waste sites. The tool also contains demographic indicators and a demographic index. The EJSCREEN demographic index uses the average of two indicators, low-income and minority and is combined with an environmental indicator to create the associated EJ Index. The environmental, demographic, and EJ indicators and indexes are all calculated for each census geographic unit, and can be summarized within a defined buffer area.EJScreen allows users to access high-resolution environmental and demographic information for locations in the United States, and compare their selected locations to the rest of the state, EPA region, or the nation. The tool may help users identify areas with: - People of color and/or low-income populations - Potential environmental quality issues - A combination of environmental and demographic indicators that is greater than usual - Other factors that may be of interest EJScreen may also be used to support: - Educational programs - Grant writing - Community awareness efforts - Other purposes This screening tool and data may be of interest to community residents or other stakeholders as they search for environmental or demographic information. It can also support a wide range of research and policy goals. The public has used EJScreen in many different locations and in many different ways. EPA is sharing EJScreen with the public: - to be more transparent about how we consider environmental justice in our work, - to assist our stakeholders in making informed decisions about pursuing environmental justice and - to create a common starting point between the agency and the public when looking at issues related to environmental justice. Screening tools should be used for a "screening-level" look. Screening is a useful first step in understanding or highlighting locations that may be candidates for further review. However, it is essential to remember that screening-level results: - do not, by themselves, determine the existence or absence of environmental justice concerns in a given location - they do not provide a risk assessment and - have other significant limitations. More information on EJSCREEN can be found at https://www.epa.gov/ejscreen.US EPA Environmental Justice Screening and Mapping Tool (EJSCREEN)U.S. Environmental Protection Agency Office of Environmental Justice1200 Pennsylvania Ave, N.W.WashingtonD.C.20460USenvironmentsocietyclimatologyMeteorologyAtmospherehealthISO 19115 Topic CategoriesenvironmentsocietyclimatologyMeteorologyAtmospherehealthThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlCaveats and Limitations of EJSCREEN: EJSCREEN is a pre-decisional screening tool, and was not designed to be the basis for agency decision making or determinations regarding the existence or absence of EJ concerns. It also should not be used to identify or label an area as an “EJ Community.” Instead, EJSCREEN is designed as a starting point, to highlight the extent to which certain locations may be candidates for further review or outreach. EJSCREEN’s initial results should be supplemented with additional information and local knowledge whenever appropriate, for a more complete picture of a location. Additional considerations and data, such as national, regional, or local information and concerns, along with appropriate analysis, should form the basis for any decisions. EJSCREEN, as a screening tool, is more limited than a detailed analysis in two key ways. First, it has data on only some of the relevant issues, and second, there is uncertainty in the data it does have. It is important to understand each of these limitations. The first limitation arises because a screening tool cannot capture all the relevant issues that should be considered (e.g., other local environmental concerns). Any national screening tool must balance a desire for data quality and national coverage against the goal of including as many important environmental indicators as feasible given resource constraints. Many environmental concerns are not yet included in comprehensive, nationwide databases. For example, data on environmental indicators such as local drinking water quality and indoor air quality were not available with adequate quality, coverage and/or resolution to be included in this national screening tool. EJSCREEN cannot provide data on every environmental impact and demographic factor that may be important to any location. The second important limitation is that EJSCREEN relies on demographic and environmental estimates that involve substantial uncertainty. This is especially true when looking at a small geographic area, such as a single Census block group. A single block group is often small and has uncertain estimates. A buffer that is roughly the same size as a block group or smaller will introduce additional uncertainty because it has to approximate the locations of residences. Therefore, it is typically very useful to summarize EJSCREEN data for a larger area, covering several block groups, in what is called a “buffer” report, as explained later in this document. There is a tradeoff between resolution and precision: Detailed maps at high resolution can suggest the presence of a local “hotpot,” but are uncertain. Estimates based on larger areas will provide more confidence and precision, but may overlook local “hotpots” if not supplemented with detailed maps. The demographic uncertainty combined with uncertainty in environmental data means EJ index values are often quite uncertain for a single block group. Therefore, modest differences in percentile scores between block groups or small buffers should not be interpreted as meaningful because of the uncertainties in demographic and environmental data at the block group level. We do not have a high degree of confidence when comparing or ranking places with only modest differences in estimated percentile. For this reason, it is critical that EJSCREEN results be interpreted carefully, particularly for individual block groups, and that additional information be used to supplement or follow up on screening, where appropriate. The demographic estimates, such as percent low-income, come from the American Community Survey (ACS) from the United States Census Bureau. The ACS is comprised of surveys, not a full census of all households. This means the Census Bureau may estimate that a block group is 30% low-income, for example, but it might actually be 20% or 40% in some cases (see Appendix B for a discussion of uncertainty in demographics). Uncertainties are also discussed in section 2 (with regard to buffer reports), and Appendix B (in discussions of buffering details and demographic data). Related to the issue of uncertainty is that fact that the environmental indicators are only screening-level proxies for actual exposures or health risks. This is particularly true for the proximity indicators, for example. Even for the indicators that directly estimate risks or hazards, as with the air toxics cancer risk indicator, estimates have substantial uncertainty because emissions, ambient levels in the air, exposure of individuals, and toxicity are uncertain. Section 3 provides technical details on each environmental indicator. The inclusion of a dataset in EJSCREEN does not imply it is the newest, best, or primary estimate of actual conditions or risks. Estimates are based on historical data and may not reflect current or future conditions. The vintage of environmental indicators varies and is not the same as the vintage of the demographic data. The NATA air toxics indicators and the PM2.5 and ozone indicators in particular should be viewed with this in mind, because emissions related to PM2.5, ozone, and air toxics generally have decreased in recent years. This version of EJSCREEN incorporated the most recent data that were available at the time of each indicator’s development. Every attempt will be made to use the most recent appropriate data available in future updates of EJSCREEN. There is always a delay between the release of raw data and their eventual incorporation into any models, tools, or maps. It is also useful to note that although the raw numbers for some indicators do not represent current conditions, the percentiles are much more likely to be reasonably representative of today’s conditions in most locations. This is because even if emissions have been significantly reduced overall, for example, the differences between various locations are unlikely to have changed as dramatically, especially when the reductions have come from national regulations and other trends affecting entire industries or sectors in many locations. For this reason, the percentiles may be more representative of current conditions than the raw values of the indicators. Finally, some supplementary maps and local information can complement the EJSCREEN indicators to provide more recent information. In particular, EJSCREEN also provides updated maps of PM2.5 and ozone nonattainment areas (areas not meeting national ambient air quality standards). There are also some limitations in geographic coverage -- EJSCREEN lacks data in some locations for some indicators, such as in Alaska, Hawaii, and Puerto Rico. In short, as with any screening tool, the indicators in EJSCREEN cannot address all the considerations that may be relevant to a given situation, they are often only a screening-level proxy for a given issue, and in any case, there is significant uncertainty involved, particularly for a single block group. For these types of reasons, among others, it generally is not appropriate to rely on any screening tool as the basis for a key decision. It is often very useful to obtain information on other issues not included in EJSCREEN, updated information when available, as well as local knowledge, data, and concerns. Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.639357-79.81221524.35469531.042641publication date2021-12-31Environmental Indicators Selected for EJSCREEN: Some environmental indicators used in EJSCREEN quantify proximity to and the numbers of certain types of potential sources of exposure to environmental pollutants, such as nearby hazardous waste sites or traffic. The lead paint indicator indicates the presence of older housing, which often, but not always, indicates the presence of lead paint, and therefore the possibility of exposure. In some cases, the term “exposure” is used very broadly here to refer to the potential for exposure. Others indicators in EJSCREEN are estimates of ambient levels of air pollutants, such as PM2.5, ozone, and diesel particulate matter. Still others are actual estimates of air toxics-related cancer risk, or a hazard index, which summarizes the ratios of ambient air toxics levels to health-based reference concentrations. In other words, these environmental indicators vary widely in what they indicate, as discussed further below. A variety of considerations has informed the selection of these environmental indicators; in general, the selected indicators exhibit the following characteristics: • Resolution: Screening level data are available (or could be readily developed) at the block group level (or at least close to this resolution). • Coverage: Screening level data are available (or could be readily developed) for the entire United States (or with nearly complete coverage). • Relevance to EJ: Pollutants or impacts are relevant to EJ (e.g., differences between groups have been indicated in exposures, susceptibility, or health endpoints associated with the exposures) • Public health significance: Pollutants or impacts are potentially important in the United States (e.g., notable impacts estimated or significant concerns have been expressed, at least locally, or exposure has been linked to health endpoints with substantial impacts nationwide). EPA selected environmental indicators after a review of data availability (including the criteria and review of data availability for an Environmental Quality Index, now provided by county in Messer, Jagai, Rappazzo, & Lobdell (2014), and described in Lobdell, Jagai, Rappazzo, & Messer (2011)); health disparity information (e.g., CDC’s major 2011 report on health disparities (Centers for Disease Control and Prevention, 2011a)); risk ranking studies (e.g., Unfinished Business (U.S. EPA, 1987), Reducing Risk (U.S. EPA, 1992), and related reports); and risk estimates from major studies (e.g., related to PM2.5 ambient standards). EPA also reviewed data from the CDC (Centers for Disease Control and Prevention, 2011c) and other sources in the federal government (Fedstats, 2007), and consulted EPA Regions and program offices that are responsible for data collection and analysis under EPA’s key environmental statutes. The State of California’s work on CalEnviroScreen5 was also tracked throughout its development. Other internal EPA data tools were also examined, including EJSEAT, EJVIEW, C-FERST, and tools used in EPA Regional Offices. After review, EPA selected the following environmental indicators for use in the public version of EJSCREEN: Air pollution: o PM2.5 level in air. o Ozone level in air. o NATA air toxics: - Diesel particulate matter level in air. - Air toxics cancer risk. - Air toxics respiratory hazard index. Traffic proximity and volume: Amount of vehicular traffic nearby, and distance from roads. Lead paint indicator: Percentage of housing units built before 1960, as an indicator of potential exposure to lead. Proximity to waste and hazardous chemical facilities or sites: Number of significant industrial facilities and/or hazardous waste sites nearby, and distance from those: o National Priorities List (NPL) sites. o Risk Management Plan (RMP) Facilities. o Hazardous waste Treatment, Storage and Disposal Facilities (TSDFs). Wastewater discharge indicator: Proximity to toxicity-weighted wastewater discharges More information about EJSCREEN methodology can be found in the links below: https://www.epa.gov/ejscreen https://www.epa.gov/ejscreen/technical-documentation-ejscreen1-87.639357-79.81221531.04264124.354695This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.GeoPlan Process Steps: EJSCREEN data was downloaded from https://gaftp.epa.gov/EJSCREEN on 3/9/2022. Original filename: EJSCREEN_Full Original projection: WGS_1984. Data was exported as a subset of the original file, containing only records for the State of Florida. (Attribute selection query: ID LIKE '12%'). The layer was reprojected to FGDL Albers (EPSG: 3087). Added Descript field based on ID. Added FGDLAQDATE based on date downloaded from the source. Renamed the file ejscreen_blkrgp_20212022-03-09UF GeoPlan CenterSpatial and Attribute Information0datasetEPSG6.13(9.2.0)0