<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20190115</CreaDate>
<CreaTime>10413400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This data is used to define areas of the City where Household income is less than $51,026 Dollars for Park Grant Criteria. </idAbs>
<searchKeys>
<keyword>Household Income</keyword>
<keyword>Census 2015</keyword>
<keyword>Census</keyword>
<keyword>Park Funding</keyword>
</searchKeys>
<idPurp>Census Household Income 2015 with Incomes below 51,026</idPurp>
<idCredit>US Census 2014-2015</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>