<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20230815</CreaDate>
        <CreaTime>09583200</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>HOLC Redlining Boundaries</resTitle>
        </idCitation>
        <searchKeys>
            <keyword>#redlining</keyword>
        </searchKeys>
        <idPurp>Neighborhoods in Newport News designated as "Desireable", "Declining", and "Hazardous" by the Home Owners' Loan Corporation.</idPurp>
        <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;A polygon layer representing the neighborhood designations assigned by the Home Owner's Loan Corporation in the 1930s and 40s.  The HOLC deployed examiners across the country to classify neighborhoods by their perceived level of lending risk.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>Layer adapted from data obtained from

Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et al., “Mapping Inequality,” American Panorama, ed. Robert K. Nelson and Edward L. Ayers, accessed August 15, 2023, https://dsl.richmond.edu/panorama/redlining/[YOUR VIEW].</idCredit>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>