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 dataWashington, D.C.U.S. Environmental Protection AgencyState of Floridahttps://gaftp.epa.gov/EJSCREEN/This 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 CategoriesenvironmentsocietyclimatologyMeteorologyAtmospherehealthNoneCaveats 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 physical1200 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.0onLineSpatial and Attribute InformationGeoPlan 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 CenterVectorGT-polygon composed of chains11442NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101EJSCREEN_BLKGRP_2021EJSCREEN_BLKGRP_2021.DBFUSEPAOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.EsriCoordinates defining the features.IDCensus FIPS code for block group
US EPAACSTOTPOPTotal population
US EPAACSIPOVBASPopulation for whom poverty status is determined
US EPAACSEDUCBASPopulation 25 years and over
US EPAACSTOTHHHouseholds (for linguistic isolation)
US EPAACSTOTHUHousing units (for % built pre-1960)
US EPAACSUNEMPBAUnemployment base--persons in civilian labor force (unemployment rate)
US EPAMINORPOPPeople of color
US EPAMINORPCT% people of color
US EPALOWINCOMELow income
US EPALOWINCPCT% low income
US EPALESSHSLess than high school education
US EPALESSHSPCT% less than high school education
US EPALINGISOLinguistically isolated
US EPALINGISOPCT% linguistically isolated
US EPAUNDER5Under age 5
US EPAUNDER5PCT% under age 5
US EPAOVER64Over age 64
US EPAOVER64PCT% over age 64
US EPAPRE1960Housing units built before 1960
US EPAPRE1960PCT% housing units built before 1960
US EPAUNEMPLOYEDUnemployed in civilian labor force
US EPAUNEMPPCTUnemployment rate
US EPAVULEOPCTDemographic Index
US EPAVULEOIntermediate variable used for the Demographic Index
US EPADISPEOIntermediate variable used for the Demographic Index
US EPADSLPM2017 Diesel particulate matter
US EPACANCER2017 Air toxics cancer risk
US EPARESP2017 Air toxics respiratory HI
US EPAPTRAFTraffic proximity
US EPAPWDISWastewater discharge
US EPAPNPLSuperfund proximity
US EPAPRMPRMP facility proximity
US EPAPTSDFHazardous waste proximity
US EPAOZONEOzone
US EPAPM25Particulate Matter 2.5
US EPAUSTUnderground storage tanks
US EPAD_LDPNT_2EJ Index for Lead paint
US EPAD_DSLPM_2EJ Index for 2017 Diesel particulate matter
US EPAD_CANCR_2EJ Index for 2017 Air toxics cancer risk
US EPAD_RESP_2EJ Index for 2017 Air toxics respiratory HI
US EPAD_PTRAF_2EJ Index for Traffic proximity
US EPAD_PWDIS_2EJ Index for Wastewater discharge
US EPAD_PNPL_2EJ Index for Superfund Proximity
US EPAD_PRMP_2EJ Index for RMP Facility Proximity
US EPAD_PTSDF_2EJ Index for Hazardous waste proximity
US EPAD_OZONE_2EJ Index for Ozone
US EPAD_PM25_2EJ Index for Particulate Matter 2.5
US EPAD_UST_2EJ Index for Underground storage tanks
US EPASTATE_NAMEName of state
US EPAST_ABBREVTwo-letter abbreviation for state
US EPAREGIONUS EPA region number
US EPAP_MINORPCTPercentile for % people of color
US EPAP_LWINCPCTPercentile for % low income
US EPAP_LESHSPCTPercentile for % less than high school education
US EPAP_LNGISPCTPercentile for % linguistically isolated
US EPAP_UNDR5PCTPercentile for % under age 5
US EPAP_OVR64PCTPercentile for % over age 64
US EPAP_LDPNTPercentile for Lead paint
US EPAP_UNEMPPCTPercentile for Unemployment rate
US EPAP_VULEOPCTPercentile for Demographic Index
US EPAP_DSLPMPercentile for 2017 Diesel particulate matter
US EPAP_CANCRPercentile for 2017 Air toxics cancer risk
US EPAP_RESPPercentile for 2017 Air toxics respiratory HI
US EPAP_PTRAFPercentile for Traffic proximity
US EPAP_PWDISPercentile for Wastewater discharge
US EPAP_PNPLPercentile for Superfund proximity
US EPAP_PRMPPercentile for RMP facility proximity
US EPAP_PTSDFPercentile for Hazardous waste proximity
US EPAP_OZONEPercentile for Ozone
US EPAP_PM25Percentile for Particulate Matter 2.5
US EPAP_USTPercentile for Underground storage tanks
US EPAP_LDPNT_D2Percentile for EJ Index for Lead paint
US EPAP_DSLPM_D2Percentile for EJ Index for 2017 Diesel particulate matter
US EPAP_CANCR_D2Percentile for EJ Index for 2017 Air toxics cancer risk
US EPAP_RESP_D2Percentile for EJ Index for 2017 Air toxics respiratory HI
US EPAP_PTRAF_D2Percentile for EJ Index for Traffic proximity
US EPAP_PWDIS_D2Percentile for EJ Index for Wastewater discharge
US EPAP_PNPL_D2Percentile for EJ Index for Superfund proximity
US EPAP_PRMP_D2Percentile for EJ Index for RMP Facility Proximity
US EPAP_PTSDF_D2Percentile for EJ Index for Hazardous waste proximity
US EPAP_OZONE_D2Percentile for EJ Index for Ozone
US EPAP_PM25_D2Percentile for EJ Index for Particulate Matter 2.5
US EPAP_UST_D2Percentile for EJ Index for Underground storage tanks
US EPAB_MINORPCTMap color bin for % people of color
US EPAB_LWINCPCTMap color bin for % low income
US EPAB_LESHSPCTMap color bin for % less than high school education
US EPAB_LNGISPCTMap color bin for % linguistically isolated
US EPAB_UNDR5PCTMap color bin for % under age 5
US EPAB_OVR64PCTMap color bin for % over age 64
US EPAB_LDPNTMap color bin for Lead paint
US EPAB_UNEMPPCTMap color bin for Unemployment rate
US EPAB_VULEOPCTMap color bin for Demographic Index
US EPAB_DSLPMMap color bin for 2017 Diesel particulate matter
US EPAB_CANCRMap color bin for 2017 Air toxics cancer risk
US EPAB_RESPMap color bin for 2017 Air toxics respiratory HI
US EPAB_PTRAFMap color bin for Traffic proximity
US EPAB_PWDISMap color bin for Wastewater discharge
US EPAB_PNPLMap color bin for Superfund proximity
US EPAB_PRMPMap color bin for RMP facility proximity
US EPAB_PTSDFMap color bin for Hazardous waste proximity
US EPAB_OZONEMap color bin for Ozone
US EPAB_PM25Map color bin for Particulate Matter 2.5
US EPAB_USTMap color bin for Underground storage tanks
US EPAB_LDPNT_D2Map color bin for EJ Index for Lead paint
US EPAB_DSLPM_D2Map color bin for EJ Index for 2017 Diesel particulate matter
US EPAB_CANCR_D2Map color bin for EJ Index for 2017 Air toxics cancer risk
US EPAB_RESP_D2Map color bin for EJ Index for 2017 Air toxics respiratory HI
US EPAB_PTRAF_D2Map color bin for EJ Index for Traffic proximity
US EPAB_PWDIS_D2Map color bin for EJ Index for Wastewater discharge
US EPAB_PNPL_D2Map color bin for EJ Index for Superfund proximity
US EPAB_PRMP_D2Map color bin for EJ Index for RMP Facility Proximity
US EPAB_PTSDF_D2Map color bin for EJ Index for Hazardous waste proximity
US EPAB_OZONE_D2Map color bin for EJ Index for Ozone
US EPAB_PM25_D2Map color bin for EJ Index for Particulate Matter 2.5
US EPAB_UST_D2Map color bin for EJ Index for Underground storage tanks
US EPAT_MINORPCTMap popup text for % people of color
US EPAT_LWINCPCTMap popup text for % low income
US EPAT_LESHSPCTMap popup text for % less than high school education
US EPAT_LNGISPCTMap popup text for % linguistically isolated
US EPAT_UNDR5PCTMap popup text for % under age 5
US EPAT_OVR64PCTMap popup text for % over age 64
US EPAT_UNEMPPCTMap popup text for Unemployment rate
US EPAT_VULEOPCTMap popup text for Demographic Index
US EPAT_LDPNTMap popup text for Lead paint
US EPAT_LDPNT_D2Map popup text for EJ Index for Lead paint
US EPAT_DSLPMMap popup text for 2017 Diesel particulate matter
US EPAT_DSLPM_D2Map popup text for EJ Index for 2017 Diesel particulate matter
US EPAT_CANCRMap popup text for 2017 Air toxics cancer risk
US EPAT_CANCR_D2Map popup text for EJ Index for 2017 Air toxics cancer risk
US EPAT_RESPMap popup text for 2017 Air toxics respiratory HI
US EPAT_RESP_D2Map popup text for EJ Index for 2017 Air toxics respiratory HI
US EPAT_PTRAFMap popup text for Traffic proximity
US EPAT_PTRAF_D2Map popup text for EJ Index for Traffic proximity
US EPAT_PWDISMap popup text for Wastewater discharge
US EPAT_PWDIS_D2Map popup text for EJ Index for Wastewater discharge
US EPAT_PNPLMap popup text for Superfund proximity
US EPAT_PNPL_D2Map popup text for EJ Index for Superfund proximity
US EPAT_PRMPMap popup text for RMP facility proximity
US EPAT_PRMP_D2Map popup text for EJ Index for RMP facilities proximity
US EPAT_PTSDFMap popup text for Hazardous waste proximity
US EPAT_PTSDF_D2Map popup text for EJ Index for Hazardous waste proximity
US EPAT_OZONEMap popup text for Ozone
US EPAT_OZONE_D2Map popup text for EJ Index for Ozone
US EPAT_PM25Map popup text for Particulate Matter 2.5
US EPAT_PM25_D2Map popup text for EJ Index for Particulate Matter 2.5
US EPAT_USTMap popup text for Underground storage tanks
US EPAT_UST_D2Map popup text for EJ Index for Underground storage tanks
US EPAAREALANDLand area in square meters
US EPAAREAWATERWater area in square meters
US EPANPL_CNTNumber of Superfund facilities in the block group
US EPATSDF_CNTNumber of Hazardous waste facilities in the block group
US EPADESCRIPTField added by FGDL based on NAME.GeoPlanFGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanAUTOIDSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 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.html20220325U.S. Environmental Protection Agency - Office of Policymailing and physical1200 Pennsylvania Ave, N.W.WashingtonD.C.20460FGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeU.S. Environmental Protection Agency - Office of Policy1200 Pennsylvania Ave, N.W.WashingtonD.C.2046020220325ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFL32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAhttps://gaftp.epa.gov/EJSCREEN/US EPA Environmental Justice Screening and Mapping Tool (EJSCREEN) Block Group Level Indicators in Florida - 20212022-02-22U.S. Environmental Protection AgencyWashington, D.C.U.S. Environmental Protection Agency Office of Environmental Justicevector digital dataState of FloridaThis 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.US EPA Environmental Justice Screening and Mapping Tool (EJSCREEN)U.S. Environmental Protection Agency Office of Environmental Justice1200 Pennsylvania Ave, N.W.WashingtonD.C.20460USenvironmenthealthsocietyclimatologyMeteorologyAtmosphereISO 19115 Topic CategoriesenvironmenthealthsocietyclimatologyMeteorologyAtmosphereThe 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 10.8.1.14362publication date2021-12-31-87.639357-79.81221524.35469531.042641Environmental 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-ejscreenThis 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. 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