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        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20150630</CreaDate>
        <CreaTime>20062000</CreaTime>
        <ModDate>20250407</ModDate>
        <ModTime>20062000</ModTime>
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                <portalDetails>
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                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=be6312d8091c40a1a0f8536fd0645e69</itemDetailsURL>
                    <itemIdentifier>be6312d8091c40a1a0f8536fd0645e69</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/USA_Census_Tract_Points_analysis/FeatureServer</resourceURL>
                </portalDetails>
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    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>USA Census Tract Points</resTitle>
            <date>
                <createDate>2015-06-30T20:06:20</createDate>
                <reviseDate>2025-04-07T19:24:12</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>layer</keyword>
            <keyword>United States</keyword>
            <keyword>Census Bureau</keyword>
            <keyword>tract</keyword>
            <keyword>2010</keyword>
            <keyword>analysis ready</keyword>
            <keyword>point</keyword>
            <keyword>2014</keyword>
            <keyword>population</keyword>
            <keyword>places</keyword>
        </searchKeys>
        <idPurp>This layer provides centroids for the 2010 U.S. Census tracts of the United States, with attributes optimized for analysis.</idPurp>
        <idAbs>&lt;span style='overflow: auto;'&gt;&lt;span&gt;&lt;span style='overflow: auto;'&gt;&lt;span&gt;&lt;span style='overflow: auto;'&gt;&lt;span&gt;This layer provides boundaries for the 2010 U.S. Census tracts of the United States, with attributes optimized for analysis.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</idAbs>
        <idCredit>Esri, TomTom, US Census</idCredit>
        <resConst>
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                <useLimit>&lt;img alt='' src='https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png' /&gt; This work is licensed under the Esri Master License Agreement.&lt;br /&gt;&lt;div&gt;&lt;a href='https://goto.arcgis.com/termsofuse/viewsummary' target='_blank'&gt;&lt;b&gt;View Summary&lt;/b&gt;&lt;/a&gt; | &lt;a href='https://goto.arcgis.com/termsofuse/viewtermsofuse' target='_blank'&gt;&lt;b&gt;View Terms of Use&lt;/b&gt;&lt;/a&gt;&lt;/div&gt;</useLimit>
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        </resConst>
        <dataExt>
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                    <eastBL Sync="FALSE">-65.2942329719616</eastBL>
                    <northBL Sync="FALSE">71.25990165165676</northBL>
                    <southBL Sync="FALSE">17.932912948113813</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
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