<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211116</CreaDate>
<CreaTime>15392700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>CRS Functional Classification</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Clearinghouse</keyword>
<keyword>Highway</keyword>
<keyword>CRS</keyword>
<keyword>Functional Classification</keyword>
</searchKeys>
<idPurp>Functional Classification is used in determining eligibility for Federal funding programs. The Federal Highway Administration (FHWA) identifies Functional Classification as a key item in transportation data. Streets and highways are grouped into classes according to the service they provide. This Functional Classification dataset also populates the California Road System web map for the purpose of providing authoritative, statewide road system information for general public use.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
