<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    
    <Esri>
        
        <CreaDate>20200727</CreaDate>
        
        <CreaTime>11492300</CreaTime>
        
        <ArcGISFormat>1.0</ArcGISFormat>
        
        <ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
        
        <SyncOnce>TRUE</SyncOnce>
        
    </Esri>
    
    <dataIdInfo>
        
        <idAbs/>
        
        <searchKeys>
            
            <keyword>transportation</keyword>
            
        </searchKeys>
        
        <idPurp>The transportation expense indicator displays transportation costs based on percentage of income for the regional moderate household. This measure displays information for 2008-2012 at the census tract level.</idPurp>
        
        <idCredit/>
        
        <resConst>
            
            <Consts>
                
                <useLimit/>
                
            </Consts>
            
        </resConst>
        
    </dataIdInfo>
    
    <Binary>
        
        <Thumbnail>
            
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
            
        </Thumbnail>
        
    </Binary>
    
</metadata>