<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240312</CreaDate>
<CreaTime>15045500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Oklahoma_UA_2020</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Urban Area</keyword>
<keyword>Census</keyword>
<keyword>Tiger 2020</keyword>
</searchKeys>
<idPurp>TIGER/Line Shapefile, Oklahoma, 2020 Census Urban Area. Area is an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB)</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
