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    <editorSource>EPA Directory</editorSource>
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    <rpOrgName>U.S. Environmental Protection Agency, Research Triangle Park</rpOrgName>
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        <delPoint>USEPA Mailroom N127-02</delPoint>
        <city>Research Triangle Park</city>
        <adminArea>NC</adminArea>
        <postCode>27711</postCode>
        <eMailAdd>geoservices@epa.gov</eMailAdd>
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    <idPurp>To summarize environmental quality for each county of the United States; to compare environmental profiles across US counties; use as a broad environmental exposure variable for health studies; use to control for co-occurring environmental hazards when attempting to isolate the effect of a single factor.</idPurp>
    <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built environment, and sociodemographic environment). Indices are at the county level for all counties in the United States. Indices are at the county level for all counties in the United States for 2000-2005.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
    <idCredit>US EPA NHEERL EPHD</idCredit>
    <idCitation>
      <resTitle>USEPA Environmental Quality Index (EQI) and Associated Domain Indices by County for the United States 2000-2005 Original</resTitle>
      <date>
        <pubDate>2016-06-22</pubDate>
      </date>
      <citRespParty>
        <rpIndName>Danelle Lobdell</rpIndName>
        <rpOrgName>U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)</rpOrgName>
        <rpPosName>Epidemiologist</rpPosName>
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        <useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
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    <placeKeys>
      <thesaName>
        <resTitle>EPA Place Names</resTitle>
        <date>
          <pubDate>2015-01-31</pubDate>
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          <linkage>https://ofmpub.epa.gov/sor_internet/registry/termreg/searchandretrieve/taxonomies/search.do?search=&amp;searchString=&amp;taxonomyName=WBT%20-%20Geographic%20Locations</linkage>
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        <countryCode value="US" />
      </thesaLang>
      <keyword>Alabama</keyword>
      <keyword>Alaska</keyword>
      <keyword>Arizona</keyword>
      <keyword>Arkansas</keyword>
      <keyword>California</keyword>
      <keyword>Chesapeake Bay</keyword>
      <keyword>Chesapeake Bay Watershed</keyword>
      <keyword>Colorado</keyword>
      <keyword>Connecticut</keyword>
      <keyword>Delaware</keyword>
      <keyword>Florida</keyword>
      <keyword>Georgia</keyword>
      <keyword>Hawaii</keyword>
      <keyword>Idaho</keyword>
      <keyword>Illinois</keyword>
      <keyword>Indiana</keyword>
      <keyword>Iowa</keyword>
      <keyword>Kansas</keyword>
      <keyword>Kentucky</keyword>
      <keyword>Louisiana</keyword>
      <keyword>Maine</keyword>
      <keyword>Maryland</keyword>
      <keyword>Massachusetts</keyword>
      <keyword>Michigan</keyword>
      <keyword>Minnesota</keyword>
      <keyword>Mississippi</keyword>
      <keyword>Missouri</keyword>
      <keyword>Montana</keyword>
      <keyword>Nebraska</keyword>
      <keyword>Nevada</keyword>
      <keyword>New Hampshire</keyword>
      <keyword>New Jersey</keyword>
      <keyword>New Mexico</keyword>
      <keyword>New York</keyword>
      <keyword>North Carolina</keyword>
      <keyword>North Dakota</keyword>
      <keyword>Ohio</keyword>
      <keyword>Oklahoma</keyword>
      <keyword>Oregon</keyword>
      <keyword>Pennsylvania</keyword>
      <keyword>Rhode Island</keyword>
      <keyword>South Carolina</keyword>
      <keyword>South Dakota</keyword>
      <keyword>Tennessee</keyword>
      <keyword>Texas</keyword>
      <keyword>United States</keyword>
      <keyword>Utah</keyword>
      <keyword>Vermont</keyword>
      <keyword>Virginia</keyword>
      <keyword>Washington</keyword>
      <keyword>Washington DC</keyword>
      <keyword>West Virginia</keyword>
      <keyword>Wisconsin</keyword>
      <keyword>Wyoming</keyword>
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        <languageCode value="eng" />
        <countryCode value="US" />
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      <thesaName>
        <resTitle>EPA GIS Keyword Thesaurus</resTitle>
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          <pubDate>2007-11-02</pubDate>
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      <keyword>Air</keyword>
      <keyword>Environment</keyword>
      <keyword>Exposure</keyword>
      <keyword>Indicator</keyword>
      <keyword>Land</keyword>
      <keyword>Water</keyword>
    </themeKeys>
    <themeKeys>
      <thesaLang>
        <languageCode value="eng" />
        <countryCode value="US" />
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        <resTitle>Federal Program Inventory</resTitle>
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          <pubDate>2013-09-16</pubDate>
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          <linkage>https://www.performance.gov/federalprograminventory</linkage>
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          <orName>Federal Program Inventory</orName>
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      <keyword>020:053</keyword>
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    <suppInfo>1) The data used to create the index attempted to balance quality measurement with geographic breadth of coverage -  index does reasonable job estimating the general environment, but be less useful for estimating specific environments.
2) Not all relevant environmental exposures are necessarily  included in the index. Data inclusion is dependent on data collection and coverage; if relevant data are not being collected, the exposure will not be captured in the EQI.
3) In areas where little data collection occurs the data may be over representing the environmental profile of those areas. For example, a county that contains a national park without data collected and a town with data collection will be solely represented by the town area, though that may be inaccurate for the entire county.
4) Focused solely on the outside environment, which may not be the most relevant exposure in relation to human health and disease.
5) Population-level analyses offer little predictive utility for individual-level risk. Therefore, while the index may be useful at identifying less healthy environments, it will not be useful for predicting adverse outcomes.</suppInfo>
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          <westBL>-138.21454852</westBL>
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          <southBL>6.65223303</southBL>
          <northBL>61.7110157</northBL>
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          <exTemp>
            <TM_Period>
              <tmBegin>2000-01-01T00:00:00</tmBegin>
              <tmEnd>2005-12-31T00:00:00</tmEnd>
            </TM_Period>
          </exTemp>
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    </dataExt>
    <idPoC>
      <rpIndName>Danelle Lobdell</rpIndName>
      <rpOrgName>U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)</rpOrgName>
      <rpPosName>Epidemiologist</rpPosName>
      <role>
        <RoleCd value="007" />
      </role>
      <displayName>[From Metadata Record]   Danelle Lobdell</displayName>
    </idPoC>
    <idPoC>
      <rpIndName>Danelle Lobdell</rpIndName>
      <rpOrgName>U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)</rpOrgName>
      <rpPosName>Epidemiologist</rpPosName>
      <role>
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      </role>
      <displayName>[From Metadata Record]   Danelle Lobdell</displayName>
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        <rpIndName>Danelle Lobdell</rpIndName>
        <rpOrgName>U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)</rpOrgName>
        <rpPosName>Epidemiologist</rpPosName>
        <role>
          <RoleCd value="007" />
        </role>
        <displayName>[From Metadata Record]   Danelle Lobdell</displayName>
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    <resConst>
      <LegConsts>
        <accessConsts>
          <RestrictCd value="009">Unrestricted License</RestrictCd>
        </accessConsts>
        <othConsts>https://edg.epa.gov/EPA_Data_License.html</othConsts>
        <useLimit>EPA Public Domain License</useLimit>
      </LegConsts>
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    <tpCat>
      <TopicCatCd value="007" />
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  </dataIdInfo>
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    <maintFreq>
      <MaintFreqCd value="009" />
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    <dateNext>2022-10-19T00:00:00</dateNext>
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      <topLvl>
        <TopoLevCd value="001" />
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  <eainfo>
    <overview>
      <eaover>Please refer to the EQI_data_dictionary_2014Aug18.xls file in the data download for a more detailed listing. The domain indexes are: 
AIR INDEX: Output from a principle components analysis using 87 air pollutant variables, including both criteria and hazardous air pollutants. This index summarizes average air exposures from 2000-2005 for each county in the United States; 
WATER INDEX: Output from a principle components analysis using 80 water quality variables, including modeled, monitoring, reported, and surveyed/studied. This index summarizes average water quality measures from 2000-2005 for each county in the United States;
LAND INDEX: Output from a principle components analysis using 26 land quality variables, including soil contaminants, pesticides, general agriculture, facilities counts, and radon rankings. This index summarizes average land quality measures from 2000-2005 for each county in the United States;
BUILT INDEX: Output from a principle components analysis using 14 built environment quality variables, including street information, business data, highway safety information and U.S. Census data. This index summarizes average  built environment quality measures from 2000-2005 for each county in the United States; 
SOCIODEMOGRAPHIC INDEX: Output from a principle components analysis using 12 sociodemographic quality variables, including U.S. census and crime data. This index summarizes average sociodemographic quality measures from 2000-2005 for each county in the United States.</eaover>
      <eadetcit>EPA Report # EPA/600/R-14/304 (2014) Creating an Overall Environmental Quality Index - Technical Report; 

Messer LC, Jagai JS, Rappazzo KM, Lobdell DT. (2014) Construction of an environmental quality index for public health research. Environmental Health 13:39 doi: 10.1186/1476-069X-13-39; 

Lobdell DT, Jagai JS, Rappazzo K, Messer LC. (2011) Data sources for environmental assessment: determining availability, quality and utility, American Journal of Public Health Suppl 1:S277-85</eadetcit>
    </overview>
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