<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20240712</CreaDate>
        		
        <CreaTime>11150100</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>TRUE</SyncOnce>
        		
        <MapLyrSync>TRUE</MapLyrSync>
        	
    </Esri>
    	
    <dataIdInfo>
        		
        <idCitation>
            			
            <resTitle>Commuting</resTitle>
            		
        </idCitation>
        		
        <idAbs>This document contains data for an online Dashboard version of TxDOT One-stop Demographic Data Analysis Tool developed by the Institute for Demographic and Socioeconomic Research at the University of Texas at San Antonio. Dashboard will provide user's quick and easy access to general demographic information for Texas Counties and Census Tracts and will serve as a starting point for mapping, reporting and general trend analysis. Data Sources: TXDOT, 2018</idAbs>
        		
        <searchKeys>
            			
            <keyword>Texas</keyword>
            		
        </searchKeys>
        		
        <idPurp>Commuting data for online dashboard.</idPurp>
        		
        <idCredit>Texas Demographic Center</idCredit>
        	
    </dataIdInfo>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>