<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220208</CreaDate>
<CreaTime>11144300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>JobCenter_poly_scag</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Job Centers</keyword>
<keyword>Subcenters</keyword>
<keyword>Employment Centers</keyword>
<keyword>SCAG</keyword>
<keyword>Connect SoCal</keyword>
<keyword>SB375</keyword>
</searchKeys>
<idPurp>Job centers are areas with significantly higher 2016 (Connect SoCal base year) employment density than their surroundings. Job centers are identified using a methodology which builds on Kane et al. (2018). A report, web mapping application, and informative video on this research can also be found at https://mfi.soceco.uci.edu/category/quarterly-report/detecting-job-density-over-time/. </idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
