<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20221219</CreaDate>
        <CreaTime>16343300</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <MapLyrSync>TRUE</MapLyrSync>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle/>
        </idCitation>
        <idAbs>Statistics Canada Census Data from 2021. This dataset includes all tables provided by Statistics Canada joined with the census tracts. Each topic covered by the census is featured as a separate table in this dataset.</idAbs>
        <searchKeys>
            <keyword>census</keyword>
            <keyword>census 2021</keyword>
        </searchKeys>
        <idPurp>Statistics Canada Census Data from 2021. This dataset includes all tables provided by Statistics Canada joined with the census tracts. Each topic covered by the census is featured as a separate table in this dataset.</idPurp>
        <idCredit>City of Brampton|Statistics Canada</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;div&gt;Creative Commons By-Law&lt;/div&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>