20260413
16410500
1.0
TRUE
EnrichLayer
Enrich CompPlanMaster_Stats "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Enrich2" KeyUSFacts.MEDVAL_CY;KeyUSFacts.MEDHINC_CY;KeyUSFacts.TOTPOP_CY;KeyUSFacts.TOTHH_CY;KeyUSFacts.AVGHHSZ_CY;KeyUSFacts.TOTHU_CY;KeyUSFacts.OWNER_CY;KeyUSFacts.RENTER_CY;KeyUSFacts.VACANT_CY;KeyUSFacts.GQPOP_CY;KeyUSFacts.AVGHINC_CY;KeyUSFacts.PCI_CY;KeyUSFacts.AVGVAL_CY;5yearincrements.MEDAGE_CY;educationalattainment.BACHDEG_CY;educationalattainment.GRADDEG_CY;educationalattainment.HSGRAD_CY;educationalattainment.GED_CY;educationalattainment.SMCOLL_CY;educationalattainment.ASSCDEG_CY;educationalattainment.EDUCBASECY;households.ACSPOVINDX;households.ACSHHBPOV # 1 #
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Enrich2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>edu_HS_pct</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS_pct "[edu_HS_pct] - ([educationalattainment_BACHDEG_CY] + [educationalattainment_GRADDEG_CY] + [educationalattainment_HSGRAD_CY] + [educationalattainment_GED_CY] + [educationalattainment_ASSCDEG_CY])" VBScript # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS_pct "[edu_HS_pct] - ([educationalattainment_BACHDEG_CY] + [educationalattainment_GRADDEG_CY] + [educationalattainment_HSGRAD_CY] + [educationalattainment_GED_CY] + [educationalattainment_ASSCDEG_CY])" VBScript # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS_pct "$feature.educationalattainment_EDUCBASECY - ($feature.educationalattainment_BACHDEG_CY + $feature.educationalattainment_GRADDEG_CY + $feature.educationalattainment_HSGRAD_CY + $feature.educationalattainment_GED_CY + $feature.educationalattainment_ASSCDEG_CY)" Arcade # Text NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Enrich2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>edu_HS</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS "$feature.educationalattainment_EDUCBASECY - ($feature.educationalattainment_BACHDEG_CY + $feature.educationalattainment_GRADDEG_CY + $feature.educationalattainment_HSGRAD_CY + $feature.educationalattainment_GED_CY + $feature.educationalattainment_ASSCDEG_CY)" Arcade # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS "$feature.educationalattainment_BACHDEG_CY + $feature.educationalattainment_GRADDEG_CY + $feature.educationalattainment_HSGRAD_CY + $feature.educationalattainment_GED_CY + $feature.educationalattainment_ASSCDEG_CY" Arcade # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS_pct "$feature.edu_HS / $feature.educationalattainment_EDUCBASECY" Arcade # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Enrich2 edu_HS_pct ($feature.edu_HS / $feature.educationalattainment_EDUCBASECY)*100 Arcade # Text NO_ENFORCE_DOMAINS
Rename "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Enrich2" "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Final" FeatureClass
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Final</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>KeyUSFacts_OWNER_PCT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Final</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>KeyUSFacts_VACANT_PCT</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField CompPlanMaster_Stats_Final KeyUSFacts_OWNER_PCT ($feature.KeyUSFacts_OWNER_CY / $feature.KeyUSFacts_TOTHU_CY)*100 Arcade # Text NO_ENFORCE_DOMAINS
CalculateField CompPlanMaster_Stats_Final KeyUSFacts_VACANT_PCT ($feature.KeyUSFacts_VACANT_CY/ $feature.KeyUSFacts_TOTHU_CY)*100 Arcade # Text NO_ENFORCE_DOMAINS
Rename "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Final" "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Enrich_v2" FeatureClass
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Enrich_v2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>householdtype_ACSTOTHH</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats_Enrich_v2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>households_POV_PCT</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
Rename "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats_Enrich_v2" "M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb\CompPlanMaster_Stats" FeatureClass
CalculateField CompPlanMaster_Stats households_POV_PCT ($feature.households_ACSHHBPOV/$feature.householdtype_ACSTOTHH)*100 Arcade # Text NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<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/3.3.0'><WorkspaceConnectionString>DATABASE=M:\Planning\05_Technical Support Research\GIS\PROJECTS\Demographics\Data\Demographics_AreaPlans_Working.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CompPlanMaster_Stats</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Plan_URL</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
150000000
5000
FGDC
None
Created with Business Analyst Pro - EnrichLayer
publication date
Business Analyst Pro
Unknown
This layer shows Jefferson County Area Plan boundaries with estimated statistics based on Decennial Census data and Esri Demographics information derived using the Enrich tool.
<div style='text-align:Left;'><div><div><p><span>This layer shows Jefferson County Area Plan boundaries with estimated statistics based on Decennial Census data and Esri Demographics information derived using the Enrich tool. </span></p></div></div></div>
U.S. Census; Esri Demographics; Jefferson County Planning and Zoning
PZ Area Plan Statistics
jefferson county
colorado
area plans
comprehensive master plan
demographics
population
census
esri demographics
<div style='text-align:Left;'><div><div><p><span>These data have been prepared from the best available records. However, there is no express or implied warranty of any kind by Jefferson County for the completeness, accuracy, or correctness of this information, including but not limited to warranties of title or merchantability or fitness for a particular purpose. Jefferson County shall not be liable for damages of any kind arising out of the use of this product or for any errors or inaccuracies. These data are for planning purposes only.</span></p></div></div></div>
20260414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