<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260317</CreaDate>
<CreaTime>15162800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Major_Transit_Stops_Plan_Year_2022</resTitle>
</idCitation>
<idAbs>This dataset includes the updated as of August 29, 2014 city boundaries for all SCAG Counties. The dataset is comprised of data collected from each of the 6 counties and reviewed by by local jurisdictions in the region. The data represents the city boundary for each of the 191 cities in the region for the year 2012. Data was obtained from county representatives between August 2012 and January 2013 and then reviewed by local jurisdiction staffs during the SCAG's Local Input Process, between March 2013 and August 2014, to reflect the most current updates and annexations to the city boundaries. The original data sources were the local LAFCO offices (Ver 1.4). This specific dataset is (Ver. 1.5) </idAbs>
<searchKeys>
<keyword>Administrative</keyword>
<keyword>Cities</keyword>
<keyword>Southern California</keyword>
<keyword>SCAG</keyword>
</searchKeys>
<idPurp>For planning and reference purposes.</idPurp>
<idCredit>There are no credits for this item.</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
