<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220609</CreaDate>
<CreaTime>09021400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">BPGIS.BPDATA.Blocks2020</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=CHSQL01; Service=sde:sqlserver:CHSQL01; Database=BPGIS; User=BPData</linkage>
<protocol Sync="TRUE">ArcSDE Connection</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_California_VI_FIPS_0406_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_VI_FIPS_0406_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;,-116.25],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,32.78333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,33.88333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,32.16666666666666],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2230]]&lt;/WKT&gt;&lt;XOrigin&gt;-118608900&lt;/XOrigin&gt;&lt;YOrigin&gt;-91259500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;102646&lt;/WKID&gt;&lt;LatestWKID&gt;2230&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20220609" Name="" Time="090214" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass tl_2021_06_tabblock20 C:\Users\nwray\Documents\ArcGIS\Projects\Data_Conversion\CDBG\CDBG.gdb BP_Blocks # "STATEFP20 "STATEFP20" true true false 2 Text 0 0,First,#,tl_2021_06_tabblock20,STATEFP20,0,2;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0,First,#,tl_2021_06_tabblock20,COUNTYFP20,0,3;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0,First,#,tl_2021_06_tabblock20,TRACTCE20,0,6;BLOCKCE20 "BLOCKCE20" true true false 4 Text 0 0,First,#,tl_2021_06_tabblock20,BLOCKCE20,0,4;GEOID20 "GEOID20" true true false 15 Text 0 0,First,#,tl_2021_06_tabblock20,GEOID20,0,15;NAME20 "NAME20" true true false 10 Text 0 0,First,#,tl_2021_06_tabblock20,NAME20,0,10;MTFCC20 "MTFCC20" true true false 5 Text 0 0,First,#,tl_2021_06_tabblock20,MTFCC20,0,5;UR20 "UR20" true true false 1 Text 0 0,First,#,tl_2021_06_tabblock20,UR20,0,1;UACE20 "UACE20" true true false 5 Text 0 0,First,#,tl_2021_06_tabblock20,UACE20,0,5;UATYPE20 "UATYPE20" true true false 1 Text 0 0,First,#,tl_2021_06_tabblock20,UATYPE20,0,1;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0,First,#,tl_2021_06_tabblock20,FUNCSTAT20,0,1;ALAND20 "ALAND20" true true false 14 Double 0 14,First,#,tl_2021_06_tabblock20,ALAND20,-1,-1;AWATER20 "AWATER20" true true false 14 Double 0 14,First,#,tl_2021_06_tabblock20,AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0,First,#,tl_2021_06_tabblock20,INTPTLAT20,0,11;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0,First,#,tl_2021_06_tabblock20,INTPTLON20,0,12" #</Process>
<Process Date="20220609" Name="" Time="093643" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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;WorkspaceConnectionString&gt;DATABASE=C:\Users\nwray\Documents\ArcGIS\Projects\Data_Conversion\CDBG\CDBG.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;BP_Blocks&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;STATEFP20&lt;/field_name&gt;&lt;field_alias&gt;State FIPS Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;COUNTYFP20&lt;/field_name&gt;&lt;field_alias&gt;County FIPS Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;TRACTCE20&lt;/field_name&gt;&lt;field_alias&gt;Census Tract Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;BLOCKCE20&lt;/field_name&gt;&lt;field_alias&gt;Current Block Group Number 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;GEOID20&lt;/field_name&gt;&lt;field_alias&gt;GEOID Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;NAME20&lt;/field_name&gt;&lt;field_alias&gt;Block Name 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;MTFCC20&lt;/field_name&gt;&lt;field_alias&gt;MAR/TIGER Feature Class Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;AssignDomainToField&gt;&lt;field_name&gt;MTFCC20&lt;/field_name&gt;&lt;domain_name&gt;MAFTCodes&lt;/domain_name&gt;&lt;/AssignDomainToField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20220609" Name="" Time="093755" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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;WorkspaceConnectionString&gt;DATABASE=C:\Users\nwray\Documents\ArcGIS\Projects\Data_Conversion\CDBG\CDBG.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;BP_Blocks&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;UR20&lt;/field_name&gt;&lt;field_alias&gt;Urban/Rural Indicator 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;UACE20&lt;/field_name&gt;&lt;field_alias&gt;Urban Area Code 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;UATYPE20&lt;/field_name&gt;&lt;field_alias&gt;Urban Area Type 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;FUNCSTAT20&lt;/field_name&gt;&lt;field_alias&gt;Functional Status 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;AssignDomainToField&gt;&lt;field_name&gt;FUNCSTAT20&lt;/field_name&gt;&lt;domain_name&gt;FUNCSTATCodes&lt;/domain_name&gt;&lt;/AssignDomainToField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20220609" Name="" Time="093833" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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;WorkspaceConnectionString&gt;DATABASE=C:\Users\nwray\Documents\ArcGIS\Projects\Data_Conversion\CDBG\CDBG.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;BP_Blocks&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;ALAND20&lt;/field_name&gt;&lt;field_alias&gt;Area - Land 2020&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;AWATER20&lt;/field_name&gt;&lt;field_alias&gt;Area - Water 2020&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;INTPTLAT20&lt;/field_name&gt;&lt;field_alias&gt;Latitude 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;INTPTLON20&lt;/field_name&gt;&lt;field_alias&gt;Longitude 2020&lt;/field_alias&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20220609" Name="" Time="094840" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" export="">FeatureClassToFeatureClass BP_Blocks C:\Users\nwray\Documents\ArcGIS\Projects\Data_Conversion\BPData@BPGIS.sde\BPGIS.BPDATA.CensusData Blocks2020 # "STATEFP20 "State FIPS Code 2020" true true false 2 Text 0 0,First,#,BP_Blocks,STATEFP20,0,2;COUNTYFP20 "County FIPS Code 2020" true true false 3 Text 0 0,First,#,BP_Blocks,COUNTYFP20,0,3;TRACTCE20 "Census Tract Code 2020" true true false 6 Text 0 0,First,#,BP_Blocks,TRACTCE20,0,6;BLOCKCE20 "Current Block Group Number 2020" true true false 4 Text 0 0,First,#,BP_Blocks,BLOCKCE20,0,4;GEOID20 "GEOID Code 2020" true true false 15 Text 0 0,First,#,BP_Blocks,GEOID20,0,15;NAME20 "Block Name 2020" true true false 10 Text 0 0,First,#,BP_Blocks,NAME20,0,10;MTFCC20 "MAR/TIGER Feature Class Code 2020" true true false 5 Text 0 0,First,#,BP_Blocks,MTFCC20,0,5;UR20 "Urban/Rural Indicator 2020" true true false 1 Text 0 0,First,#,BP_Blocks,UR20,0,1;UACE20 "Urban Area Code 2020" true true false 5 Text 0 0,First,#,BP_Blocks,UACE20,0,5;UATYPE20 "Urban Area Type 2020" true true false 1 Text 0 0,First,#,BP_Blocks,UATYPE20,0,1;FUNCSTAT20 "Functional Status 2020" true true false 1 Text 0 0,First,#,BP_Blocks,FUNCSTAT20,0,1;ALAND20 "Area - Land 2020" true true false 8 Double 0 0,First,#,BP_Blocks,ALAND20,-1,-1;AWATER20 "Area - Water 2020" true true false 8 Double 0 0,First,#,BP_Blocks,AWATER20,-1,-1;INTPTLAT20 "Latitude 2020" true true false 11 Text 0 0,First,#,BP_Blocks,INTPTLAT20,0,11;INTPTLON20 "Longitude 2020" true true false 12 Text 0 0,First,#,BP_Blocks,INTPTLON20,0,12;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,BP_Blocks,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,BP_Blocks,Shape_Area,-1,-1" #</Process>
<Process Date="20220609" Name="" Time="095238" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "CIMDATA=&lt;CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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;FeatureDataset&gt;BPGIS.BPDATA.CensusData&lt;/FeatureDataset&gt;&lt;WorkspaceConnectionString&gt;ENCRYPTED_PASSWORD=00022e6846554d4644626e49584f726e532b626c314e724f69413d3d2a00;SERVER=CHSQL01;INSTANCE=sde:sqlserver:CHSQL01;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=CHSQL01;DATABASE=BPGIS;USER=BPData;AUTHENTICATION_MODE=DBMS;BRANCH=sde.DEFAULT&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;SDE&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;BPGIS.BPDATA.Blocks2020&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMFeatureDatasetDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AddGlobalIDs /&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;EnableEditorTracking&gt;&lt;creator_field&gt;created_user&lt;/creator_field&gt;&lt;creation_date_field&gt;created_date&lt;/creation_date_field&gt;&lt;last_editor_field&gt;last_edited_user&lt;/last_editor_field&gt;&lt;last_edit_date_field&gt;last_edited_date&lt;/last_edit_date_field&gt;&lt;add_fields&gt;TRUE&lt;/add_fields&gt;&lt;record_dates_in&gt;UTC&lt;/record_dates_in&gt;&lt;/EnableEditorTracking&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
</lineage>
</DataProperties>
<SyncDate>20220609</SyncDate>
<SyncTime>09484000</SyncTime>
<ModDate>20220609</ModDate>
<ModTime>11065000</ModTime>
<scaleRange>
<minScale>500000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.3.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Census Blocks _ 2020</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>This feature class shows the US Census 2020 Blocks in and for a short distance around Buena Park. This data was obtained from the US Census Bureau TIGER shapefiles.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The United States Census Bureau reports data by various political and statistical geographic units. The top-to-bottom relationship shown here represents a statistical hierarchy of containment: the nation contains states, states contain counties, counties contain tracts, tracts contain block groups, and block groups contain blocks. Many other non-nesting reporting units are not shown.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Census tracts are statistical subdivisions of a county that aim to have roughly 4,000 inhabitants. Tract boundaries are usually visible features, such as roads or rivers, but they can also follow the boundaries of national parks, military reservations, or American Indian reservations. Tracts are designed to be fairly homogeneous with respect to demographic and economic conditions when they are first established. When a census tract experiences growth and the internal population grows beyond 8,000 persons, the tract is split up. This review and revision process is conducted every decade with collaboration from local planning agencies.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;A block group is a subdivision of a census tract and contains a cluster of blocks. Block groups usually have between 250 and 550 housing units.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;A census block is the smallest geographic census unit. Blocks can be bounded by visible features—such as streets—or by invisible boundaries, such as city limits. Census blocks are often the same as ordinary city blocks. Census blocks change every decade.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;You can review the data directly from the US Census &lt;/SPAN&gt;&lt;A href="https://www.census.gov:443/geographies/mapping-files/time-series/geo/tiger-line-file.html" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;here&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>US Census Bureau</idCredit>
<searchKeys>
<keyword>Buena Park</keyword>
<keyword>GIS</keyword>
<keyword>census</keyword>
<keyword>federal</keyword>
<keyword>2020</keyword>
<keyword>block</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This information is provided "as is" with no guarantee of accuracy. This data set was obtained from the United States Census Bureau and was not created by the City of Buena Park.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise 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="2230"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="BPGIS.BPDATA.Blocks2020">
<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="BPGIS.BPDATA.Blocks2020">
<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="BPGIS.BPDATA.Blocks2020">
<enttyp>
<enttypl Sync="TRUE">BPGIS.BPDATA.Blocks2020</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">10</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">8</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">STATEFP20</attrlabl>
<attalias Sync="TRUE">State FIPS Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COUNTYFP20</attrlabl>
<attalias Sync="TRUE">County FIPS Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TRACTCE20</attrlabl>
<attalias Sync="TRUE">Census Tract Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">BLOCKCE20</attrlabl>
<attalias Sync="TRUE">Current Block Group Number 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GEOID20</attrlabl>
<attalias Sync="TRUE">GEOID Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NAME20</attrlabl>
<attalias Sync="TRUE">Block Name 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MTFCC20</attrlabl>
<attalias Sync="TRUE">MAR/TIGER Feature Class Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UR20</attrlabl>
<attalias Sync="TRUE">Urban/Rural Indicator 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UACE20</attrlabl>
<attalias Sync="TRUE">Urban Area Code 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UATYPE20</attrlabl>
<attalias Sync="TRUE">Urban Area Type 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FUNCSTAT20</attrlabl>
<attalias Sync="TRUE">Functional Status 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ALAND20</attrlabl>
<attalias Sync="TRUE">Area - Land 2020</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">AWATER20</attrlabl>
<attalias Sync="TRUE">Area - Water 2020</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INTPTLAT20</attrlabl>
<attalias Sync="TRUE">Latitude 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INTPTLON20</attrlabl>
<attalias Sync="TRUE">Longitude 2020</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20220609</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
