<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211020</CreaDate>
<CreaTime>12430000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Primary_Election_20171014</resTitle>
</idCitation>
<idAbs>Polygon geometry with attributes displaying the October 14, 2017 State Representative District 29 primary election results in East Baton Rouge Parish, Louisiana.</idAbs>
<searchKeys>
<keyword>Election</keyword>
<keyword>Voting</keyword>
<keyword>EBRP</keyword>
</searchKeys>
<idPurp>October 2017 Primary Election Results</idPurp>
<idCredit>EBRGIS; Louisiana Secretary of State; Department of Information Services</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
