<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220718</CreaDate>
<CreaTime>15032100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>WORKFORCE_BELOW_POVERTY_RATE_30</resTitle>
</idCitation>
<idAbs>http://www.regionaltechnologysolutions.com/geographic-information-system</idAbs>
<searchKeys>
<keyword>etcog</keyword>
<keyword>poverty</keyword>
<keyword>census</keyword>
<keyword>tract</keyword>
</searchKeys>
<idPurp>Workforce map for ETCOG Region Census Tract over 30%</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
