<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20261103</CreaDate>
<CreaTime>14102100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Supervisorial_boundary_scag</resTitle>
</idCitation>
<idAbs>This dataset contains the Supervisorial districts within SCAG consisted of the: Imperial County Supervisorial Districts, Los Angeles County Supervisorial Districts, Orange County Supervisorial Districts, Riverside County Supervisorial Districts, San Bernardino County Supervisorial Districts, Ventura County Supervisorial Districts.</idAbs>
<searchKeys>
<keyword>Districts</keyword>
<keyword>Supervisorial</keyword>
<keyword>SCAG</keyword>
<keyword>Imperial County Supervisorial Districts</keyword>
<keyword>Los Angeles County Supervisorial Districts</keyword>
<keyword>Orange County Supervisorial Districts</keyword>
<keyword>Riverside County Supervisorial Districts</keyword>
<keyword>San Bernardino County Supervisorial Districts</keyword>
<keyword>Ventu</keyword>
</searchKeys>
<idPurp>This dataset is intended for planning and reference purposes.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
