<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20221215</CreaDate>
        <CreaTime>12022000</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Map</resTitle>
        </idCitation>
        <idAbs>&lt;div&gt;&lt;span style='color:rgb(51, 51, 51); font-family:&amp;quot;Open Sans&amp;quot;, Helvetica, Arial, sans-serif; font-size:14px;'&gt;The HUD &lt;/span&gt;&lt;span style='color:rgb(51, 51, 51); font-family:&amp;quot;Open Sans&amp;quot;, Helvetica, Arial, sans-serif; font-size:14px;'&gt;Office of Community Planning and Development (CPD) annually provides estimates of the number of persons that can be considered Low-, Low- to Moderate-, and Low-, Moderate-, and Medium-income persons at the Block Group level. &lt;/span&gt;&lt;span style='color:rgb(51, 51, 51); font-family:&amp;quot;Open Sans&amp;quot;, Helvetica, Arial, sans-serif; font-size:14px;'&gt;LMISD Estimates are provided at three income levels: Low Income (up to 50 percent of the Area Median Income (AMI)); Moderate Income (greater than 50 percent AMI and up to 80 percent AMI), and Medium Income (greater than 80 percent AMI and up to 120 AMI). &lt;/span&gt;&lt;/div&gt;&lt;span style='color:rgb(51, 51, 51); font-family:&amp;quot;Open Sans&amp;quot;, Helvetica, Arial, sans-serif; font-size:14px;'&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;The Community Development Block Grant (CDBG) program requires that each CDBG funded activity must either principally benefit low- and moderate-income (LMI) persons, aid in the prevention or elimination of slums or blight, or meet a community development need having a particular urgency. Most activities funded by the CDBG program are designed to benefit low- and moderate-income (LMI) persons. That benefit may take the form of housing, jobs, and services.&lt;/span&gt;</idAbs>
        <searchKeys>
            <keyword>Block Groups</keyword>
            <keyword>US Census Bureau</keyword>
            <keyword>Broward County</keyword>
            <keyword>Low Income</keyword>
            <keyword>Moderate Income</keyword>
            <keyword>HUD</keyword>
            <keyword>Demographics</keyword>
            <keyword>Housing</keyword>
        </searchKeys>
        <idPurp>The map feature layer displays the U.S, Housing and Urban Development (HUD) 2022 Low and Moderate Summary Income Data (LMISD) at the Block Group level in Broward County. The data is used to implement the Community Development Block Grant (CDBG) programs.</idPurp>
        <idCredit>U.S. Department of Housing and Urban Development, U.S. Bureau Census Bureau, Broward County Planning and Development Management Division, Broward County GI</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;u&gt;https://www.broward.org/Terms/Pages/Default.aspx&lt;/u&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>