<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20241031</CreaDate>
<CreaTime>10255900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Percent_BIPOC_by_Census_Tract</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;1111948722.2222221&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20241021</SyncDate>
<SyncTime>11191600</SyncTime>
<ModDate>20241031</ModDate>
<ModTime>10213700</ModTime>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Percent BIPOC by Census Tract</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This Data is subject to the &lt;/SPAN&gt;&lt;A href="https://phoenixopendata.com/pages/terms-of-use" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Terms of Use &lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;(Terms) that accompany its distribution. You should read and understand Terms before using City Data. By continuing use of the Data, or accessing any materials on the Site, you agree to these Terms, as they may be updated or modified by City at any time in its discretion. If you (Licensee) do not agree to them, do not use or download any material.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<idPurp>Percent Black, Indigenous, and people of color (BIPOC) for the City of Phoenix aggregated to the census tract.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Data were accessed for census tracts from the U.S. Census Bureau American Community Survey (ACS) 5 year estimates (2018-2022) using the formula: 100 - Percent White alone (Not Hispanic or Latino).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit> City Manager's Office: Office of Heat Response and Mitigation at the City of Phoenix</idCredit>
<searchKeys>
<keyword>City of Phoenix</keyword>
<keyword>COP</keyword>
<keyword>City Manager's Office</keyword>
<keyword>CMO</keyword>
<keyword>Office of Heat Response and Mitigation</keyword>
<keyword>OHR</keyword>
<keyword>Other</keyword>
<keyword>BIPOC</keyword>
<keyword>Minority</keyword>
<keyword>Shade</keyword>
</searchKeys>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Percent_BIPOC_by_Census_Tract">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Percent_BIPOC_by_Census_Tract">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Percent_BIPOC_by_Census_Tract">
<enttyp>
<enttypl Sync="TRUE">Percent_BIPOC_by_Census_Tract</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Qminority</attrlabl>
<attalias Sync="TRUE">Qminority</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20241031</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdC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</Data>
</Thumbnail>
</Binary>
</metadata>
