<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>FGDC</ArcGISProfile>
    </Esri>
    <dataIdInfo>
        <idAbs>&lt;font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'&gt;&lt;span style='font-size:16px;'&gt;This dataset was derived from federal data collected by the Census Bureau and Environmental Protection Agency and originally made available to the public on July 31, 2024. These data provide both summary and detailed information at the Census block group level for both demographic and environmental indicators. &lt;br /&gt;&lt;br /&gt;These data were selected from the &lt;/span&gt;&lt;/font&gt;&lt;a href='https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RLR5AX' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;' target='_self' rel='nofollow ugc'&gt;Harvard Environment and Law Data (HELD) Collection&lt;/a&gt; to inform environmental justice in New York State. The data was uploaded to the HELD Collection on December 3rd, 2024 and downloaded by NYSDOS-OPDCI for service to the Geographic Information Gateway via this item on March 18th, 2025.  &lt;br /&gt;&lt;br /&gt;&lt;a href='https://opdgig.dos.ny.gov/datasets/284a5d9002c9452ead787aa8a0d51130/explore' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;' target='_self' rel='nofollow ugc'&gt;View Dataset on the Gateway&lt;/a&gt;</idAbs>
        <idCitation>
            <resTitle>Low Income Population</resTitle>
            <citRespParty>
                <role>
                    <RoleCd value="006"/>
                </role>
            </citRespParty>
        </idCitation>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL>-79.76259340593855</westBL>
                    <eastBL>-71.77749175154156</eastBL>
                    <northBL>45.01587402102947</northBL>
                    <southBL>40.476586202145455</southBL>
                </GeoBndBox>
            </geoEle>
        </dataExt>
        <idPoC>
            <role>
                <RoleCd value="007"/>
            </role>
            <rpIndName>Carlson Sirvent León, Dylan</rpIndName>
            <rpOrgName>Harvard (IQSS)</rpOrgName>
            <rpPosName>Pre-Doctoral Fellow</rpPosName>
        </idPoC>
        <searchKeys>
            
            
            
        <keyword>EJ</keyword><keyword>Environmental Justice</keyword><keyword>social vulnerability</keyword></searchKeys>
        <idPurp>Low Income Population (from 2024 New York State Environmental Justice Percentiles by Census Block Group)</idPurp>
        <idCredit>US Census Bureau, EPA, Harvard Environment and Law Data (HELD) Collection</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;span style='font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;This dataset and related graphics are being provided to the public free of charge and for informational purposes only. They are not legal documents and are not intended to be used as such. This dataset was not prepared for, nor is it to be used for or relied upon for legal, engineering, navigation, or surveying purposes. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and within the limitations of geospatial data in general, and these data in particular. Use of these data, where metadata reveals the source of the data, requires proper citation to the data source as provided. The New York Department of State is not responsible for improper or incorrect use of the data described and/or contained on this web site. The New York Department of State gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. This disclaimer applies both to individual use of the data and aggregate use with other data. The New York Department of State makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the datasets and expressly disclaims liability for errors and omissions in the contents of this dataset. No warranty of any kind, implied, expressed or statutory, including but not limited to warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose and freedom from computer virus, is given with respect to the contents of this website or its hyperlinks to other Internet resources.&lt;/span&gt;</useLimit>
            </Consts>
        </resConst>
        <dataChar>
            <CharSetCd value="004"/>
        </dataChar>
    </dataIdInfo>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdFileID>284a5d9002c9452ead787aa8a0d51130</mdFileID>
    <mdChar>
        <CharSetCd value="004"/>
    </mdChar>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services2.arcgis.com/okXm0pb6aWH6XOGI/arcgis/rest/services/Low_Income_Population/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
    </distInfo>
<Binary><Thumbnail><Data EsriPropertyType="PictureX">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</Data></Thumbnail></Binary></metadata>