<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240212</CreaDate>
<CreaTime>14512500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType export="False"/>
</itemProps>
</DataProperties>
<scaleRange>
<minScale>625000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<eainfo>
<detailed Name="ilmcaDev.CASO.admu_ofc_poly">
<enttyp>
<enttypl>admu_ofc_poly</enttypl>
<enttypd>BLM Administrative Unit Boundary Historical Polygons</enttypd>
<enttypds>BLM Administrative Units (Boundaries) Implementation Guidelines</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">14</enttypc>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>ADM_UNIT_CD</attrlabl>
<attrdef>The code that indicates the formal grouping of positions into designated units and the assignment of functions and responsibilities to those units based on the DOI FPPS structure.</attrdef>
<attrdefs>BLM Administrative Units (Boundaries) Implementation Guidelines</attrdefs>
<attrdomv>
<codesetd>
<codesetn>DOM_ADM_UNIT_CD</codesetn>
<codesets>BLM Administrative Units (Boundaries) Implementation Guidelines</codesets>
</codesetd>
</attrdomv>
</attr>
<attr>
<attrlabl>ADMU_NAME</attrlabl>
<attrdef>The official name by which the organization is known. An organization may include businesses, agencies, or corporations, but not individual persons.</attrdef>
<attrdefs>BLM Administrative Units (Boundaries) Implementation Guidelines</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">APPRV_DT</attrlabl>
<attalias Sync="TRUE">Approval Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Approval Date of the Amin Unit Boundary</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">EFF_DT</attrlabl>
<attalias Sync="TRUE">Effective Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Effective Date of the Approval Boundary</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">ADMU_ST_URL</attrlabl>
<attalias Sync="TRUE">State Office URL</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Administrative Date</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">PARENT_CD</attrlabl>
<attalias Sync="TRUE">Parent Admin Code</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Admin Code of the State </attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">PARENT_NAME</attrlabl>
<attalias Sync="TRUE">Parent Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Admin Name </attrdef>
</attr>
<attr>
<attrlabl>BLM_ORG_TYPE</attrlabl>
<attrdef>A name that indicates the type of organization that is being described.</attrdef>
<attrdefs>BLM Administrative Units (Boundaries) Implementation Guidelines</attrdefs>
<attrdomv>
<codesetd>
<codesetn>DOM_BLM_ORG_TYPE</codesetn>
<codesets>BLM Administrative Units (Boundaries) Implementation Guidelines</codesets>
</codesetd>
</attrdomv>
</attr>
<attr>
<attrlabl>Comments_ca</attrlabl>
<attrdef>Comments ca for extra comments</attrdef>
<attrdefs>CA</attrdefs>
</attr>
<attr>
<attrlabl>Tmp_Text_ca</attrlabl>
<attrdef>Tmp_Text_ca</attrdef>
<attrdefs>CA</attrdefs>
</attr>
<attr>
<attrlabl>Tmp_Long_ca</attrlabl>
<attrdef>Tmp_Long_ca</attrdef>
<attrdefs>CA</attrdefs>
</attr>
<attr>
<attrlabl>Tmp_Float_ca</attrlabl>
<attrdef>Tmp_Float_ca</attrdef>
<attrdefs>CA</attrdefs>
</attr>
<attr>
<attrlabl>Tmp_Date_ca</attrlabl>
<attrdef>Tmp_Date_ca</attrdef>
<attrdefs>CA</attrdefs>
</attr>
<attr>
<attrlabl>ADMIN_ST</attrlabl>
<attrdef>An alphabetic abbreviation that represents each of the 50 states of the United States, the District of Columbia, the outlying areas of the United States, and associated areas. FIPS PUB 5-2 </attrdef>
<attrdefs>BLM Administrative Units (Boundaries) Implementation Guidelines</attrdefs>
<attrdomv>
<codesetd>
<codesetn>DOM_ADMIN_ST</codesetn>
<codesets>BLM Administrative Units (Boundaries) Implementation Guidelines</codesets>
</codesetd>
</attrdomv>
</attr>
<attr>
<attrlabl>GlobalID</attrlabl>
<attrdef>Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables.</attrdef>
<attrdefs>Esri</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.area</attrlabl>
<attalias Sync="TRUE">SHAPE.area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Geometry</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.len</attrlabl>
<attalias Sync="TRUE">SHAPE.len</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Length Geometry</attrdef>
</attr>
</detailed>
<overview>
<eaover>See the BLM Administrative Units (Boundaries) Implementation Guidelines.</eaover>
</overview>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAe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</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpIndName>BLM California State Office</rpIndName>
<rpPosName>State Data Administrator</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>2800 Cottage Way, W-1623</delPoint>
<city>Sacramento</city>
<adminArea>CA</adminArea>
<postCode>95825</postCode>
<eMailAdd>BLM_CA_Web_SO_GIS@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>916-978-4400</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>https://gbp-blm-egis.hub.arcgis.com/</linkage>
</cntOnlineRes>
</rpCntInfo>
<displayName>Name: BLM California State Office
Organization: Bureau of Land Management
Position: Publisher
Role: Unknown</displayName>
</mdContact>
<mdDateSt Sync="TRUE">20250407</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<editorSource>external</editorSource>
<editorDigest>d540fa38a0e7d7c885b6b11a2758427e64ff0837</editorDigest>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpIndName>BLM California State Office</rpIndName>
<rpPosName>Publisher</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>2800 Cottage Way, W-1623</delPoint>
<city>Sacramento</city>
<adminArea>CA</adminArea>
<postCode>95825</postCode>
<eMailAdd>BLM_CA_Web_SO_GIS@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>916-978-4400</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>https://gbp-blm-egis.hub.arcgis.com/</linkage>
</cntOnlineRes>
</rpCntInfo>
<editorSave>True</editorSave>
<displayName>Name: BLM California State Office
Organization: Bureau of Land Management
Position: Publisher
Role: Unknown</displayName>
<role>
<RoleCd value="010"/>
</role>
</distorCont>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>https://gbp-blm-egis.hub.arcgis.com/pages/california</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Dataset</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<placeKeys>
<thesaName>
<resTitle>BLM-STATE</resTitle>
</thesaName>
<keyword>California</keyword>
<keyword>Nevada</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>BLM-THEME</resTitle>
</thesaName>
<keyword>Management</keyword>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>Administrative Boundaries</keyword>
<keyword>Administrative Units</keyword>
<keyword>ADMU</keyword>
<keyword>BLM</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Department of Interior</keyword>
<keyword>DOI</keyword>
<keyword>Field Office</keyword>
</themeKeys>
<idCitation>
<citRespParty>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpIndName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<resTitle>BLM_CA_Administrative_Unit</resTitle>
<date>
<pubDate>2016-12-28</pubDate>
</date>
<resEd>1</resEd>
<citRespParty>
<rpOrgName>U.S. Department of Interior, Bureau of Land Management (BLM)</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<otherCitDet>NONE</otherCitDet>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM) BLM California State Office</rpIndName>
<role>
<RoleCd value="006"/>
</role>
<displayName>Name: U.S. Department of the Interior, Bureau of Land Management (BLM)
Role: Originator</displayName>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM) </rpOrgName>
<rpPosName>State Data Administrator</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>2800 Cottage Way, W-1623</delPoint>
<city>Sacramento</city>
<adminArea>CA</adminArea>
<postCode>95825</postCode>
<eMailAdd>BLM_CA_Web_SO_GIS@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>916-978-4400</voiceNum>
</cntPhone>
</rpCntInfo>
</citRespParty>
</idCitation>
<idAbs>This dataset depicts Bureau of Land Management (BLM) administrative unit (ADMU) land boundaries and office locations. The land areas for higher level administrative units (district and administrative states) are derived from the lower level administrative units (field office). The land areas for higher level administrative units (district and administrative states) are derived from the lower level administrative units (field office).</idAbs>
<idPurp>This dataset depicts BLM administrative unit (ADMU) land boundaries and office locations in California. This includes district office boundaries, field office boundaries, and office locations.</idPurp>
<idCredit>U.S. Department of the Interior, Bureau of Land Management (BLM), California State Office</idCredit>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<searchKeys>
<keyword>Administrative Boundaries</keyword>
<keyword>Administrative Units</keyword>
<keyword>ADMU</keyword>
<keyword>BLM</keyword>
<keyword>boundaries</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>California</keyword>
<keyword>Department of Interior</keyword>
<keyword>DOI</keyword>
<keyword>Field Office</keyword>
<keyword>Management</keyword>
<keyword>Nevada</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.</useLimit>
<othConsts>None, these data are considered public domain.</othConsts>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>These data are provided by Bureau of Land Management (BLM) 'as is' and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<envirDesc>ARCSDE</envirDesc>
<dataExt>
<exDesc>Time varies</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2014-10-30</tmBegin>
<tmEnd>Unknown</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<suppInfo>NONE</suppInfo>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="FALSE">-124.506229</westBL>
<eastBL Sync="FALSE">-113.624634</eastBL>
<northBL Sync="FALSE">42.068584</northBL>
<southBL Sync="FALSE">32.429237</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpIndName>BLM California State Office</rpIndName>
<rpPosName>State Data Administrator</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>2800 Cottage Way, W-1623</delPoint>
<city>Sacramento</city>
<adminArea>CA</adminArea>
<postCode>95825</postCode>
<eMailAdd>BLM_CA_Web_SO_GIS@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>916-978-4400</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>https://gbp-blm-egis.hub.arcgis.com/</linkage>
</cntOnlineRes>
</rpCntInfo>
<displayName>Name: BLM California State Office
Organization: Bureau of Land Management
Position: Publisher
Role: Unknown</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<tpCat>
<TopicCatCd value="003"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="012"/>
</maintFreq>
<dateNext>20161208</dateNext>
<maintNote>Last metadata review date: 20250129</maintNote>
</mdMaint>
<mdConst>
<Consts>
<useLimit>These data are provided by Bureau of Land Management (BLM) 'as is' and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.</useLimit>
</Consts>
</mdConst>
<mdConst>
<LegConsts>
<othConsts>None, these data are considered public domain.</othConsts>
</LegConsts>
</mdConst>
<dqInfo>
<report type="DQConcConsis">
<measDesc>No information available</measDesc>
</report>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report type="DQCompOm">
<measDesc>NONE</measDesc>
</report>
<report type="DQQuanAttAcc">
<measDesc>NONE</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>NONE</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>NONE</stepDesc>
<stepDateTm>20250129</stepDateTm>
<stepProc>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpIndName>BLM California State Office</rpIndName>
<rpPosName>State Data Administrator</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>2800 Cottage Way, W-1623</delPoint>
<city>Sacramento</city>
<adminArea>CA</adminArea>
<postCode>95825</postCode>
<eMailAdd>BLM_CA_Web_SO_GIS@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>916-978-4400</voiceNum>
</cntPhone>
<cntOnlineRes>
<linkage>https://gbp-blm-egis.hub.arcgis.com/</linkage>
</cntOnlineRes>
</rpCntInfo>
<displayName>Name: BLM California State Office
Organization: Bureau of Land Management
Position: Publisher
Role: Unknown</displayName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="ILMCADO.admu_ofc_arc">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">375</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
<geometObjs Name="ILMCADO.admu_ofc_poly">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">14</geoObjCnt>
</geometObjs>
<geometObjs Name="ILMCADO.admu_hist_ofc_poly">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">5</geoObjCnt>
</geometObjs>
<geometObjs Name="ILMCADO.admu_ofc_pt">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">24</geoObjCnt>
</geometObjs>
<geometObjs Name="ILMCADO.admu_hist_ofc_pt">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">7</geoObjCnt>
</geometObjs>
<geometObjs Name="ILMCADO.admu_Districts_ca">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">3</geoObjCnt>
</geometObjs>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3310"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.8(9.2.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
</metadata>
