<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20240528</CreaDate>
        <CreaTime>09385800</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>LocalElectoralBoundaryChanges</resTitle>
        </idCitation>
        <searchKeys>
            <keyword>Subdivisions</keyword>
            <keyword>Wards</keyword>
            <keyword>Boards</keyword>
        </searchKeys>
        <idPurp>Auckland Council is currently reviewing its representation arrangements for the 2019 local elections, to help ensure fair and equitable representation. Public...</idPurp>
        <idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;div style='font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;Auckland Council is currently reviewing its representation arrangements for the 2019 local elections, to help ensure fair and equitable representation. Public consultation started on 8 August seeking feedback on Council’s initial proposals, which include changes to ward and subdivision boundaries. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The requirement for an online, public-access interactive boundary viewer to illustrate the proposed changes was identified by Democracy Services, and Citizen Engagement and Insights in June. The Local Government Commission requires clear boundary definitions, and an online interactive viewing tool was seen as the ideal solution to meet not only this need, but to help increase community engagement.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The online viewer and static maps from Geospatial have been a great addition to the Representation Review Have Your Say pages and we’re looking forward to some insightful and helpful feedback on the proposed boundaries from submitters. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Many thanks to everyone directly and indirectly involved!&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;View the consultation webpages here until 11 September: https://www.aucklandcouncil.govt.nz/have-your-say/topics-you-can-have-your-say-on/consultation-on-electoral-boundaries-and-representation/Pages/Proposal-One-Ward-boundary-changes.aspx&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
        <idCredit>Economic &amp; Social Research &amp; Evaluation, AC Geospatial</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;div style='font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;This is a Temporal dataset to be used only for visualization During the consultation process with the public. the official datasets relating to Local Electoral Boundaries is the master dataset and any changes will be reflected officially through the Service via https://geomapspublic.aucklandcouncil.govt.nz/viewer/index.html   (Search for the service "Local Electoral Boundaries").&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdDateSt Sync="TRUE">20240528</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
        </Thumbnail>
    </Binary>
</metadata>