<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220720</CreaDate>
<CreaTime>11583600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220720" Time="115836" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData" Tracts2020 Polygon # No No "PROJCS["NAD_1983_UTM_Zone_15N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-93.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # "Census Tracts 2020"</Process>
<Process Date="20220720" Time="115851" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;State_Abbr&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;State Abbreviation&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_default_value&gt;IA&lt;/field_default_value&gt;&lt;field_length&gt;2&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;State_FIPS&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;State FIPS&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_default_value&gt;19&lt;/field_default_value&gt;&lt;field_length&gt;2&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;County_FIPS&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;County FIPS&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_default_value&gt;061&lt;/field_default_value&gt;&lt;field_length&gt;3&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;StCo_FIPS&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;State/County FIPS&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_default_value&gt;19061&lt;/field_default_value&gt;&lt;field_length&gt;5&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Tract_FIPS&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Tract FIPS&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;6&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;FIPS&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;FIPS&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;11&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Population2020&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;2020 Population&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Pop_SqMi&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_alias&gt;Population Density per Square Mile&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;SqMi&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_alias&gt;Area in Square Miles&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20220720" Time="115858" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AssignDefaultToField">AssignDefaultToField "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" State_Abbr IA # DO_NOT_CLEAR</Process>
<Process Date="20220720" Time="115904" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AssignDefaultToField">AssignDefaultToField "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" State_FIPS 19 # DO_NOT_CLEAR</Process>
<Process Date="20220720" Time="115910" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AssignDefaultToField">AssignDefaultToField "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" County_FIPS 061 # DO_NOT_CLEAR</Process>
<Process Date="20220720" Time="115917" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AssignDefaultToField">AssignDefaultToField "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" StCo_FIPS 19061 # DO_NOT_CLEAR</Process>
<Process Date="20220720" Time="115923" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "C:\Users\nrosemeyer\AppData\Roaming\Esri\ArcGISPro\Favorites\City of Dubuque Data.sde\gisdata.DUBUQUE.CensusData\Tracts2020" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;OBJECTID&lt;/field_name&gt;&lt;field_alias&gt;OBJECTID&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;SHAPE&lt;/field_name&gt;&lt;field_alias&gt;SHAPE&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220720" Time="121045" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">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/3.0.0'&gt;&lt;FeatureDataset&gt;gisdata.DUBUQUE.CensusData&lt;/FeatureDataset&gt;&lt;WorkspaceConnectionString&gt;ENCRYPTED_PASSWORD_UTF8=00022e685a454a6c614f4e45336f3044653041594b6b4f336e7146346c3048364a6a6473634e5470446d596b5666413d2a00;ENCRYPTED_PASSWORD=00022e68764e47736c4748616b697562435a666a7542796b357471447568535562525a536b43734a4e766839594b553d2a00;SERVER=dbqgis2db;INSTANCE=sde:sqlserver:dbqgis2db;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=dbqgis2db;DATABASE=gisdata;USER=dubuque;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;SDE&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;gisdata.DUBUQUE.Tracts2020&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMFeatureDatasetDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;TractLabel&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_precision&gt;0&lt;/field_precision&gt;&lt;field_length&gt;10&lt;/field_length&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2020</keyword>
<keyword>Census</keyword>
<keyword>Tract</keyword>
<keyword>Area</keyword>
<keyword>Dubuque</keyword>
</searchKeys>
<idPurp>2020 census tracts with labels</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Census Tracts 2020</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>
