<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20201027</CreaDate>
<CreaTime>14491700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Redlining_Districts</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\ug.unifiedgov.org\ugcommon\Sys3\My Work\Jake Kooyer\WyandotteReference.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Kansas_North_FIPS_1501_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Kansas_North_FIPS_1501_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1312333.333333333],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-98.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.71666666666667],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.78333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,38.33333333333334],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3419]]&lt;/WKT&gt;&lt;XOrigin&gt;-120389200&lt;/XOrigin&gt;&lt;YOrigin&gt;-95723100&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&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;0.0032808333333333331&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;WKID&gt;102677&lt;/WKID&gt;&lt;LatestWKID&gt;3419&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20220325" Time="123917" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass "Redlining Districts" "\\ug.unifiedgov.org\ugcommon\Sys3\My Work\Jake Kooyer\WyandotteReference.gdb" Redlining_Districts # "DistrictID "DistrictID" true true false 255 Text 0 0,First,#,Redlining Districts,DistrictID,0,255;Prefix "Prefix" true true false 255 Text 0 0,First,#,Redlining Districts,Prefix,0,255;Shape__Area "Shape__Area" false true true 0 Double 0 0,First,#,Redlining Districts,Shape__Area,-1,-1;Shape__Length "Shape__Length" false true true 0 Double 0 0,First,#,Redlining Districts,Shape__Length,-1,-1" #</Process>
</lineage>
</DataProperties>
<SyncDate>20220325</SyncDate>
<SyncTime>12391600</SyncTime>
<ModDate>20220325</ModDate>
<ModTime>12391600</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Redlining_Districts</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>Redlined</keyword>
<keyword>Redlining</keyword>
<keyword>Redline</keyword>
<keyword>District</keyword>
<keyword>HOLC</keyword>
<keyword>FHA</keyword>
</searchKeys>
<idPurp>Historically redlined districts of Kansas City, Kansas.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3419"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.2.10(9.3.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Redlining_Districts">
<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="Redlining_Districts">
<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="Redlining_Districts">
<enttyp>
<enttypl Sync="TRUE">Redlining_Districts</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">DistrictID</attrlabl>
<attalias Sync="TRUE">DistrictID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Prefix</attrlabl>
<attalias Sync="TRUE">Prefix</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</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">20220325</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
