<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20180401</CreaDate>
<CreaTime>18282400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>dallas</keyword>
<keyword>immigration</keyword>
</searchKeys>
<idPurp>high-high clusters for the top 3 immigrant groups in dallas</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>