<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20200922</CreaDate>
        <CreaTime>21452900</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">eGIS_CountyWSA</itemName>
                <nativeExtBox>
                    <westBL Sync="TRUE">6275507.500046</westBL>
                    <eastBL Sync="TRUE">6668480.499860</eastBL>
                    <southBL Sync="TRUE">1384146.125031</southBL>
                    <northBL Sync="TRUE">2122084.499873</northBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </nativeExtBox>
                <imsContentType Sync="TRUE">002</imsContentType>
            </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_California_V_FIPS_0405_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_California_V_FIPS_0405_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;,6561666.666666666],PARAMETER[&amp;quot;False_Northing&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-118.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,34.03333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,35.46666666666667],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,33.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2229]]&lt;/WKT&gt;&lt;XOrigin&gt;-117608900&lt;/XOrigin&gt;&lt;YOrigin&gt;-91881400&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121918&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;102645&lt;/WKID&gt;&lt;LatestWKID&gt;2229&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20220506</SyncDate>
        <SyncTime>15370600</SyncTime>
        <ModDate>20220506</ModDate>
        <ModTime>15370600</ModTime>
        <ArcGISProfile>ItemDescription</ArcGISProfile>
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
    </Esri>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
        </Thumbnail>
    </Binary>
    <dataIdInfo>
        <idCitation>
            <resTitle Sync="TRUE">eGIS_CountyWSA</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <idPurp>Countywide Statistical Areas (CSAs) provide a common geographic boundary for reporting departmental statistics for unincorporated areas to the Board of Supervisors.  They are not designed to perfectly represent communities, nor jurisdictional boundaries such as the Angeles National Forest.

This data is updated as of August 14, 2019.</idPurp>
        <searchKeys>
            <keyword>Countywide Statistical Areas</keyword>
            <keyword>CSA</keyword>
        </searchKeys>
        <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;The CSA project was developed to provide a common geographic boundary for reporting departmental statistics for unincorporated areas to the Board of Supervisors. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;The CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies to establish names that reflect as best as possible the general name preferences of residents and historical names of areas. A Board Motion will establish these area names as “Board Approved.” CSAs differ from the more informal “Community” geographies because:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;They are primarily focused on broad statistics and reporting, not mapping of communities.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;They represent board approved geographies comprised of Census block groups split by cities.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;They must cover the entire unincorporated County&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;There can be no holes or overlapping areas&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;The CSAs originally were created using Census Block Groups split by cities (e.g. "Split Block Groups") as a geographic building block. These boundaries are subsequently updated as needed based on city's annexation/deannexation records. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;In the City of Los Angeles, the LA City Neighborhood file was overlaid on the Block Groups and boundaries assigned using the centroid of the block group - therefore, while the names of the CSAs in LA City match the neighborhood file, the boundaries are not the same.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Additionally, CSAs are to be named according to the following recommended naming conventions:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;All names will be assumed to begin with “Unincorporated” (e.g. Unincorporated El Camino Village) for the unincorporated areas. They will not be part of the Statistical Geography Name (so the name of the Statistical Area would be “El Camino Village”).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Names will not contain “Island” – beginning each name with “Unincorporated” will distinguish an area from any surrounding cities. There may be one or more exceptions for certain small areas (e.g. “Bandini Islands”)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;A forward slash implies an undetermined boundary between two areas within a statistical geography (e.g. Westfield/Academy Hills or View Park/Windsor Hills)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Certain established names may include hyphens (e.g. Florence-Firestone)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Aliases may be defined in parentheses (e.g. Unincorporated Long Beach (Bonner/Carson Park))&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Data Fields:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;CITY_TYPE: Incorporated cities or unincorporated areas&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;LCITY: Name of incoprporated cities&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;COMMUNITY: Unincorporated community names and LA City neighborhood names.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>Los Angeles County 
Enterprise GIS (eGIS)
egis@isd.lacounty.gov</idCredit>
        <envirDesc Sync="FALSE">Esri ArcGIS 12.9.2.32739</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <dataExt>
            <geoEle>
                <GeoBndBox esriExtentType="search">
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                    <westBL Sync="TRUE">-118.953455</westBL>
                    <eastBL Sync="TRUE">-117.644097</eastBL>
                    <northBL Sync="TRUE">34.823531</northBL>
                    <southBL Sync="TRUE">32.792287</southBL>
                </GeoBndBox>
            </geoEle>
        </dataExt>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <eainfo>
        <detailed Name="eGIS_CountyWSA">
            <enttyp>
                <enttypl Sync="TRUE">eGIS_CountyWSA</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID_1</attrlabl>
                <attalias Sync="TRUE">OBJECTID_1</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">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">Integer</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">CITY_TYPE</attrlabl>
                <attalias Sync="TRUE">CITY_TYPE</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">25</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">LCITY</attrlabl>
                <attalias Sync="TRUE">LCITY</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">25</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">COMMUNITY</attrlabl>
                <attalias Sync="TRUE">COMMUNITY</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">40</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">LABEL</attrlabl>
                <attalias Sync="TRUE">LABEL</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">75</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">SOURCE</attrlabl>
                <attalias Sync="TRUE">SOURCE</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">16</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </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">Shape_STAr</attrlabl>
                <attalias Sync="TRUE">Shape_STAr</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_STLe</attrlabl>
                <attalias Sync="TRUE">Shape_STLe</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">Perc200FPL</attrlabl>
                <attalias Sync="TRUE">Perc200FPL</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>
    <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="2229"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="eGIS_CountyWSA">
                <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="eGIS_CountyWSA">
                <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>
    <mdDateSt Sync="TRUE">20220506</mdDateSt>
</metadata>