20231207 11212000 1.0 FALSE cenacs_2022 52654.870800 799725.704900 45682.204500 781582.713900 1 file://\\ict-az2-fs11.server.ufl.edu\geo-fs8-qaqc\finaldata\state\post_load\cenacs_2022\cenacs_2022.gdb Local Area Network 002 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) NAD_1983_HARN_Florida_GDL_Albers <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/3.2.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem> 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0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,M90_99,-1,-1;M89BEFORE "M89BEFORE" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,M89BEFORE,-1,-1;MO_21 "MO_21" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO_21,-1,-1;MO_18_20 "MO_18_20" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO_18_20,-1,-1;MO_10_17 "MO_10_17" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO_10_17,-1,-1;MO_00_09 "MO_00_09" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO_00_09,-1,-1;MO_90_99 "MO_90_99" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO_90_99,-1,-1;MO89BEFORE "MO89BEFORE" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MO89BEFORE,-1,-1;MR_21 "MR_21" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR_21,-1,-1;MR_18_20 "MR_18_20" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR_18_20,-1,-1;MR_10_17 "MR_10_17" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR_10_17,-1,-1;MR_00_09 "MR_00_09" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR_00_09,-1,-1;MR_90_99 "MR_90_99" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR_90_99,-1,-1;MR89BEFORE "MR89BEFORE" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MR89BEFORE,-1,-1;MYTOTAL "MYTOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MYTOTAL,-1,-1;MYOWNER "MYOWNER" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MYOWNER,-1,-1;MYRENTER "MYRENTER" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,MYRENTER,-1,-1;VEHICLE_0 "VEHICLE_0" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE_0,-1,-1;VEHICLE_1 "VEHICLE_1" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE_1,-1,-1;VEHICLE_2 "VEHICLE_2" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE_2,-1,-1;VEHICLE_3 "VEHICLE_3" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE_3,-1,-1;VEHICLE_4 "VEHICLE_4" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE_4,-1,-1;VEHICLE5G "VEHICLE5G" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,VEHICLE5G,-1,-1;S_TOTAL "S_TOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_TOTAL,-1,-1;S_VERYWELL "S_VERYWELL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_VERYWELL,-1,-1;S_WELL "S_WELL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_WELL,-1,-1;S_NOTWELL "S_NOTWELL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_NOTWELL,-1,-1;S_NOTATALL "S_NOTATALL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_NOTATALL,-1,-1;S_ENGLISH "S_ENGLISH" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_ENGLISH,-1,-1;S_SPANISH "S_SPANISH" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_SPANISH,-1,-1;S_EUROPE "S_EUROPE" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_EUROPE,-1,-1;S_ASIAN "S_ASIAN" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_ASIAN,-1,-1;S_OTHER "S_OTHER" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_OTHER,-1,-1;S_NOTVERYWELL "S_NOTVERYWELL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_NOTVERYWELL,-1,-1;S_NOT "S_NOT" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,S_NOT,-1,-1;HL_TOTAL "HL_TOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_TOTAL,-1,-1;HL_ENGLISH "HL_ENGLISH" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_ENGLISH,-1,-1;HL_SPAN_L "HL_SPAN_L" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_SPAN_L,-1,-1;HL_EURO_L "HL_EURO_L" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_EURO_L,-1,-1;HL_ASIAN_L "HL_ASIAN_L" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_ASIAN_L,-1,-1;HL_OTHER_L "HL_OTHER_L" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,HL_OTHER_L,-1,-1;LABOR_CIV "LABOR_CIV" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,LABOR_CIV,-1,-1;RTOTAL "RTOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,RTOTAL,-1,-1;RU50 "RU50" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,RU50,-1,-1;R50_99 "R50_99" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,R50_99,-1,-1;R1_124 "R1_124" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,R1_124,-1,-1;R125ABV "R125ABV" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,R125ABV,-1,-1;RU1 "RU1" true true false 4 Long 0 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0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,GMABROAD,-1,-1;C_TOTAL "C_TOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,C_TOTAL,-1,-1;C_COMPUTER "C_COMPUTER" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,C_COMPUTER,-1,-1;C_NO_COMP "C_NO_COMP" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,C_NO_COMP,-1,-1;I_TOTAL "I_TOTAL" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,I_TOTAL,-1,-1;I_INTERNET "I_INTERNET" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,I_INTERNET,-1,-1;I_NO_SUB "I_NO_SUB" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,I_NO_SUB,-1,-1;I_NO_NET "I_NO_NET" true true false 4 Long 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,I_NO_NET,-1,-1;PCT_NOTWEL "PCT_NOTWEL" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_NOTWEL,-1,-1;PCT_NOTATA "PCT_NOTATA" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_NOTATA,-1,-1;DEN_NOTWEL "DEN_NOTWEL" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_NOTWEL,-1,-1;DEN_NOTATA "DEN_NOTATA" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_NOTATA,-1,-1;PCT_BACHLR "PCT_BACHLR" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_BACHLR,-1,-1;PCT_POV "PCT_POV" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_POV,-1,-1;PCT_RU50 "PCT_RU50" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_RU50,-1,-1;PCT_R50_9 "PCT_R50_9" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_R50_9,-1,-1;PCT_R125AB "PCT_R125AB" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_R125AB,-1,-1;PCT_RU1 "PCT_RU1" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_RU1,-1,-1;DEN_POP "DEN_POP" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_POP,-1,-1;DEN_WHITE "DEN_WHITE" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_WHITE,-1,-1;DEN_BLACK "DEN_BLACK" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_BLACK,-1,-1;DEN_AMERI "DEN_AMERI" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_AMERI,-1,-1;DEN_ASIAN "DEN_ASIAN" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_ASIAN,-1,-1;DEN_HAWN "DEN_HAWN" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_HAWN,-1,-1;DEN_OTHER "DEN_OTHER" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_OTHER,-1,-1;DEN_MULTI "DEN_MULTI" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_MULTI,-1,-1;DEN_HISP "DEN_HISP" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_HISP,-1,-1;DEN_DIS20 "DEN_DIS20" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DEN_DIS20,-1,-1;PCT_WHITE "PCT_WHITE" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_WHITE,-1,-1;PCT_BLACK "PCT_BLACK" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_BLACK,-1,-1;PCT_AMERI "PCT_AMERI" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_AMERI,-1,-1;PCT_ASIAN "PCT_ASIAN" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_ASIAN,-1,-1;PCT_HAWN "PCT_HAWN" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_HAWN,-1,-1;PCT_OTHER "PCT_OTHER" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_OTHER,-1,-1;PCT_MULTI "PCT_MULTI" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_MULTI,-1,-1;PCT_HISP "PCT_HISP" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_HISP,-1,-1;PCT_DIS20 "PCT_DIS20" true true false 8 Double 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,PCT_DIS20,-1,-1;DESCRIPT "DESCRIPT" true true false 12 Text 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DESCRIPT,0,11;FGDLAQDATE "FGDLAQDATE" true true false 8 Date 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,FGDLAQDATE,-1,-1;TIGERYEAR "TIGERYEAR" true true false 25 Text 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,TIGERYEAR,0,24;DATAYEAR "DATAYEAR" true true false 25 Text 0 0,First,#,Q:\finaldata\state\pre_load\cenacs_2022.gdb\cenacs_2022,DATAYEAR,0,24" # AddField C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 AUTOID "Long (32-bit integer)" # # # # NULLABLE NON_REQUIRED # CalculateField C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 AUTOID !OBJECTID! PYTHON_9.3 # Text NO_ENFORCE_DOMAINS AddIndex C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 AUTOID A20231208162454 NON_UNIQUE NON_ASCENDING AddIndex C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 DESCRIPT D20231208162454 NON_UNIQUE NON_ASCENDING AddIndex C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 NAME N20231208162454 NON_UNIQUE NON_ASCENDING Analyze C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\\ETAT.CENACS_2022 BUSINESS CopyFeatures C:\Users\sam240\Documents\ArcGIS\DatabaseConnections\poke_etat.sde\ETAT.aaa\ETAT.CENACS_2022 Q:\finaldata\state\post_load\cenacs_2022\cenacs_2022.gdb\cenacs_2022 # # # # 20231208 16295100 20240402 15524800 ItemDescription 500000 5000 dataset U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 301-763-1128 301-763-4710 4600 Silver Hill Road, Stop 7400 Washington D.C. 20233-7400 US geo.tiger@census.gov 20240402 ArcGIS Metadata 1.0 0.000 Florida Geographic Data Library (FGDL) 431 Architecture PO Box 115706 Web site: http://www.fgdl.org Gainesville FL 32611-5706 US None DOWNLOADABLE DATA https://www.fgdl.org/ File Geodatabase Feature Class Hillsborough Census 2022 2023-12-07T00:00:00 U.S. Census Bureau U.S. Census Bureau Washington, DC Vector Digital Data Set (Polygon) State of Florida <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains the US Census Bureau 2020 Census Block Groups for the State of Florida with selected fields from the 2018-2022 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics. This data is at the block group level. The ACS was designed to replace the long-form of the decennial census. The ACS is a survey that releases data annually. ACS data are survey estimates distributed for 1-, 3-, and 5-year time periods. The 5-year estimates are the only time period estimates that provide data at the block group level. This data is designed for use within the Florida Department of Transportation Efficient Transportation Decision Making Process (ETDM). However, the subset of ACS fields included herein is useful for a variety of applications and uses.</SPAN></P></DIV></DIV></DIV> This dataset contains the US Census Bureau 2020 Census Block Groups for Hillsborough County with selected fields from the 2018-2022 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics. This data is at the block group level. Parent layer: cenacs_2022 U.S. Census Bureau (301) 763-4039 (301) 763-4348 4600 Silver Hill Road, Stop 7400 Washington, D.C. 20233-7400 US http://www.census.gov/ Florida block group ISO 19115 Topic Category socioeconomic education housing population economic ISO 19115 Topic Category boundaries society socioeconomic education housing boundaries Florida block group population society economic The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html</SPAN></P></DIV></DIV></DIV> Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.html Esri ArcGIS 13.0.3.36057 -87.639356 -79.812215 24.354693 31.042641 publication date 2018-01-01T00:00:00 2022-12-31T00:00:00 1 -87.639356 -79.812213 31.042641 24.354693 2024-12-07T00:00:00 This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology Spatial and Attribute Information The 2020 TIGER line files were downloaded from the following site: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html. date downloaded 8/25/21. The data was projected to Albers HPGN. The American Community Survey data was downloaded from the Census Bureau in dat format from: https://www2.census.gov/programs-surveys/acs/summary_file/2022/table-based-SF/data/5YRData. date downloaded: 12/7/23. Changed name from tlgdb_2020_a_12_fl.gdb\Block_Group to CENACS_2022. A variety of GIS techniques including python scripting were used to download, parse, aggregate, and join the tabular demographic data to the spatial data. The result is a feature class with logically named fields that are made up of one or more census fields 2023-12-07T00:00:00 GeoPlan This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology. This data is provided 'as is' by GeoPlan and is complete to our knowledge. GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan. This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan. 0 0 EPSG 6.12(9.2.0) cenacs_2022 CENACS_2022 U.S. Census Bureau Feature Class 0 GEOID20 Block identifier; a concatenation of Census state Federal Information Processing Standards (FIPS) code, county FIPS code, census tract code, census block group code USCB GEOID20 String 12 0 0 NAMELSAD Census translated legal/statistical area description and the block group number USCB NAMELSAD String 13 0 0 ALAND Census land area (square meters) USCB ALAND Double 8 0 0 AWATER Census water area (square meters) USCB AWATER Double 8 0 0 INTPTLAT Census latitude of the internal point USCB INTPTLAT String 11 0 0 INTPTLON Census longitude of the internal point USCB INTPTLON String 12 0 0 OBJECTID Internal feature number. Esri OBJECTID OID 4 0 0 Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. Esri SHAPE Geometry 0 0 0 Coordinates defining the features. ACRES Acres GeoPlan ACRES Double 8 0 0 GEO_ID Block identifier; a concatenation of Census state Federal Information Processing Standards (FIPS) code, county FIPS code, census tract code, census block group code. For more information on the differences between GEOID and GEO_ID see this page: https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html USCB GEO_ID String 29 0 0 GEOID Used by GeoPlan for join, duplicate of GEOID20 USCB GEOID String 29 0 0 FILEID Census File ID USCB FILEID String 5 0 0 STUSAB 2 letter state code USCB STUSAB String 2 0 0 SUMLEVEL Census geographic summary level USCB SUMLEVEL Double 8 0 0 STATE State USCB STATE Double 8 0 0 COUNTY County USCB COUNTY Double 8 0 0 TRACT Census Tract USCB TRACT Double 8 0 0 BLKGRP Census Block Group USCB BLKGRP Double 8 0 0 NAME Block Group Name USCB NAME String 230 0 0 TOTALPOP Total Population - [B01003_E001] USCB TOTALPOP Integer 4 0 0 HOUSEHOLDS Total: Households (Includes Living Alone) - [B11001_E001] USCB HOUSEHOLDS Integer 4 0 0 MALE Population Male - [B01001_E002] USCB MALE Integer 4 0 0 FEMALE Population Female - [B01001_E026] USCB FEMALE Integer 4 0 0 WHITE Population White alone - [B02001_E002] USCB WHITE Integer 4 0 0 BLACK Population Black or African American alone - [B02001_E003] USCB BLACK Integer 4 0 0 AMERI_ES Population American Indian and Alaska Native alone - [B02001_E004] USCB AMERI_ES Integer 4 0 0 ASIAN Population Asian alone - [B02001_E005] USCB ASIAN Integer 4 0 0 HAWN_PI Population Native Hawaiian and Other Pacific Islander alone - [B02001_E006] USCB HAWN_PI Integer 4 0 0 OTHER Population Some other race alone - [B02001_E007] USCB OTHER Integer 4 0 0 MULT_RACE Population Two or more races - [B02001_E008] USCB MULT_RACE Integer 4 0 0 HISPANIC Population Hispanic or Latino by Race - [B03002_E012] USCB HISPANIC Integer 4 0 0 WHITE_NH Not Hispanic or Latino: White alone - [B03002_E003] USCB WHITE_NH Integer 4 0 0 HISPNC_NOT Total Population minus Hispanic Population - [TOTALPOP] - [HISPANIC] USCB HISPNC_NOT Integer 4 0 0 MINORITY "Minority Population" is the population that lists their racial status as a race other than white alone and-or lists their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. The word "alone" in this case indicates that the person is of a single race, not multiracial - [TOTALPOP] - [WHITE_NH] GeoPlan MINORITY Integer 4 0 0 AVE_HH_SZ Average household size Total: Average Household Size of Occupied Housing Units by Tenure - [B25010_E001] USCB AVE_HH_SZ Double 8 0 0 PH_TOTAL Total: Household Type by Relatives and Nonrelatives for Population in Households - [B11002_E001] USCB PH_TOTAL Integer 4 0 0 PH_FAM Population in family households - [B11002_E002] USCB PH_FAM Integer 4 0 0 PH_NONFAM Population in nonfamily households - [B11002_E012] USCB PH_NONFAM Integer 4 0 0 FAM_HH Family households - [B11001_E002] USCB FAM_HH Integer 4 0 0 AVE_FAM_SZ Average family size (Total Population In family households/Family households) - [PH_FAM]/[FAM_HH] USCB AVE_FAM_SZ Double 8 0 0 AGE_UNDER5 Population Under 5 years - [B01001_E003] + [B01001_E027] USCB AGE_UNDER5 Integer 4 0 0 AGE_5_17 Population 5 to 17 years - [B01001_E004] + [B01001_E028] + [B01001_E005] + [B01001_E029] + [B01001_E006] + [B01001_E030] USCB AGE_5_17 Integer 4 0 0 AGE_18_21 Population 18 to 21 years - [B01001_E007] + [B01001_E031] + [B01001_E008] + [B01001_E032] + [B01001_E009] + [B01001_E033] USCB AGE_18_21 Integer 4 0 0 AGE_22_29 Population 22 to 29 years - [B01001_E010] + [B01001_E034] + [B01001_E011] + [B01001_E035] USCB AGE_22_29 Integer 4 0 0 AGE_30_39 Population 30 to 39 years - [B01001_E012] + [B01001_E036] + [B01001_E013] + [B01001_E037] USCB AGE_30_39 Integer 4 0 0 AGE_40_49 Population 40 to 49 years - [B01001_E014] + [B01001_E038] + [B01001_E015] + [B01001_E039] USCB AGE_40_49 Integer 4 0 0 AGE_50_64 Population 50 to 64 years - [B01001_E016] + [B01001_E040] + [B01001_E017] + [B01001_E041] + [B01001_E018] + [B01001_E042] + [B01001_E019] + [B01001_E043] USCB AGE_50_64 Integer 4 0 0 AGE_65_UP Population 65 and up - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046] + [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048] + [B01001_E025] + [B01001_E049] USCB AGE_65_UP Integer 4 0 0 AGE_65_74 Population 65 to 74 years - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046] USCB AGE_65_74 Integer 4 0 0 AGE_75_84 Population 75 to 84 years - [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048] USCB AGE_75_84 Integer 4 0 0 AGE_85_UP Population 85 years and over - [B01001_E025] + [B01001_E049] USCB AGE_85_UP Integer 4 0 0 MED_AGE Median age for population - [B01002_E001] USCB MED_AGE Double 8 0 0 HABVBELOW Households Total: households for poverty status in the past 12 months by household type by age of householder - [B17017_E001] USCB HABVBELOW Integer 4 0 0 HBELOW_POV Households with income in the past 12 months below poverty level - [B17017_E002] USCB HBELOW_POV Integer 4 0 0 HABOVE_POV Households with income in the past 12 months at or above poverty level - [B17017_E031] USCB HABOVE_POV Integer 4 0 0 ABVE_BELW Population Total: Poverty Status of Individuals in the Past 12 Months by Living Arrangement - [B17021_E001] USCB ABVE_BELW Integer 4 0 0 ABOVE_POV Population with income in the past 12 months at or above poverty level - [B17021_E019] USCB ABOVE_POV Integer 4 0 0 BELOW_POV Population with income in the past 12 months below poverty level - [B17021_E002] USCB BELOW_POV Integer 4 0 0 ED_TOTAL Population Total: Sex by Educational Attainment for the Population 25 Years and over - [B15002_E001] USCB ED_TOTAL Integer 4 0 0 ED_LESS9TH Educational Attainment for the Population 25 Years and over No schooling completed, Nursery to 4th grade, 5th and 6th grade, 7th and 8th grade - [B15002_E003] + [B15002_E020] + [B15002_E004] + [B15002_E021] + [B15002_E005] + [B15002_E022] + [B15002_E006] + [B15002_E023] USCB ED_LESS9TH Integer 4 0 0 ED_12NODIP Educational Attainment for the Population 25 Years and over 9th grade, 10th grade, 11th grade, 12th grade, no diploma - [B15002_E007] + [B15002_E024] + [B15002_E008] + [B15002_E025] + [B15002_E009] + [B15002_E026] + [B15002_E010] + [B15002_E027] USCB ED_12NODIP Integer 4 0 0 HSGRAD Educational Attainment for the Population 25 Years and over High school graduate, GED (includes equivalency) - [B15002_E011] + [B15002_E028] + [B15002_E012] + [B15002_E029] + [B15002_E013] + [B15002_E030] + [B15002_E014] + [B15002_E031] + [B15002_E015] + [B15002_E032] + [B15002_E016] + [B15002_E033] + [B15002_E017] + [B15002_E034] + [B15002_E018] + [B15002_E035] USCB HSGRAD Integer 4 0 0 ED_SOMECOL Educational Attainment for the Population 25 Years and over Some college - less than 1 year, Some college - 1 or more years no degree, Associate's degree - [B15002_E012] + [B15002_E029] + [B15002_E013] + [B15002_E030] + [B15002_E014] + [B15002_E031] USCB ED_SOMECOL Integer 4 0 0 ED_COLLEGE Educational Attainment for the Population 25 Years and over Bachelor's degree, Master's degree, Professional school degree, Doctorate degree - [B15002_E015] + [B15002_E032] + [B15002_E016] + [B15002_E033] + [B15002_E017] + [B15002_E034] + [B15002_E018] + [B15002_E035] USCB ED_COLLEGE Integer 4 0 0 BACHELORS Educational Attainment for the Population 25 Years and over Bachelor's degree only - [B15002_E015] + [B15002_E032] USCB BACHELORS Integer 4 0 0 HSE_UNITS Total Housing Units - [B25001_E001] USCB HSE_UNITS Integer 4 0 0 COEFF_HSE Total Housing Units. This is a duplicate of HSE_UNITS and used internally by GeoPlan - [B25001_E001] USCB COEFF_HSE Integer 4 0 0 HS_PER_AC Housing units per acre - [HSE_UNITS]/[ACRES] GeoPlan HS_PER_AC Double 8 0 0 VACANT Total Vacant housing units - [B25004_E001] USCB VACANT Integer 4 0 0 TRAN_TOTAL Means of Transportation to Work Total, workers 16 years and over - [B08301_E001] USCB TRAN_TOTAL Integer 4 0 0 TRAN_CAR Means of Transportation to Work Car, truck, or van - [B08301_E002] USCB TRAN_CAR Integer 4 0 0 TRAN_MOTO Means of Transportation to Work Motorcycle - [B08301_E017] USCB TRAN_MOTO Integer 4 0 0 TRAN_BIKE Means of Transportation to Work Bicycle - [B08301_E018] USCB TRAN_BIKE Integer 4 0 0 TRAN_PUB Means of Transportation to Work Public transportation (excluding taxicab) - [B08301_E010] USCB TRAN_PUB Integer 4 0 0 TRAN_WALK Means of Transportation to Work Walked - [B08301_E019] USCB TRAN_WALK Integer 4 0 0 TRAN_OTHER Means of Transportation to Work Other means - [B08301_E020] USCB TRAN_OTHER Integer 4 0 0 TRAN_HOME Means of Transportation to Work Worked at home - [B08301_E021] USCB TRAN_HOME Integer 4 0 0 ENROLLED Population 3 Years And Over Enrolled In School - [B14002_E003] + [B14002_E027] USCB ENROLLED Integer 4 0 0 NOT_ENROLD Population 3 Years And Over Not enrolled in school - [B14002_E025] + [B14002_E049] USCB NOT_ENROLD Integer 4 0 0 LESS_10K Number of Households with Household Income in The Past 12 Months Less than $10,000 (in 2022 Inflation-Adjusted Dollars) - [B19001_E002] USCB LESS_10K Integer 4 0 0 I10K_14K Number of Households with Household Income in The Past 12 Months $10,000 to $14,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E003] USCB I10K_14K Integer 4 0 0 I15K_19K Number of Households with Household Income in The Past 12 Months $15,000 to $19,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E004] USCB I15K_19K Integer 4 0 0 I20K_24K Number of Households with Household Income in The Past 12 Months $20,000 to $24,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E005] USCB I20K_24K Integer 4 0 0 I25K_29K Number of Households with Household Income in The Past 12 Months $25,000 to $29,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E006] USCB I25K_29K Integer 4 0 0 I30K_34K Number of Households with Household Income in The Past 12 Months $30,000 to $34,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E007] USCB I30K_34K Integer 4 0 0 I35K_39K Number of Households with Household Income in The Past 12 Months $35,000 to $39,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E008] USCB I35K_39K Integer 4 0 0 I40K_44K Number of Households with Household Income in The Past 12 Months $40,000 to $44,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E009] USCB I40K_44K Integer 4 0 0 I45K_49K Number of Households with Household Income in The Past 12 Months $45,000 to $49,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E010] USCB I45K_49K Integer 4 0 0 I50K_59K Number of Households with Household Income in The Past 12 Months $50,000 to $59,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E011] USCB I50K_59K Integer 4 0 0 I60K_74K Number of Households with Household Income in The Past 12 Months $60,000 to $74,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E012] USCB I60K_74K Integer 4 0 0 I75K_99K Number of Households with Household Income in The Past 12 Months $75,000 to $99,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E013] USCB I75K_99K Integer 4 0 0 I100K_124K Number of Households with Household Income in The Past 12 Months $100,000 to $124,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E014] USCB I100K_124K Integer 4 0 0 I125K_149K Number of Households with Household Income in The Past 12 Months $125,000 to $149,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E015] USCB I125K_149K Integer 4 0 0 I150K_199K Number of Households with Household Income in The Past 12 Months $150,000 to $199,999 (in 2022 Inflation-Adjusted Dollars) - [B19001_E016] USCB I150K_199K Integer 4 0 0 I200KMORE Number of Households with Household Income in The Past 12 Months $200,000 or more (in 2022 Inflation-Adjusted Dollars) - [B19001_E017] USCB I200KMORE Integer 4 0 0 MEDHHINC Median household income in the past 12 months (in 2022 inflation-adjusted dollars) - [B19013_E001] USCB MEDHHINC Integer 4 0 0 MEDFINCOME Median family income in the past 12 months (in 2022 inflation-adjusted dollars) - [B19113_E001] USCB MEDFINCOME Integer 4 0 0 HH_NOPUBA Households with No public assistance income - [B19057_E003] USCB HH_NOPUBA Integer 4 0 0 HH_PUBA Households with public assistance income - [B19057_E002] USCB HH_PUBA Integer 4 0 0 MEDOOHVAL Median value (dollars) Owner-occupied housing units - [B25077_E001] USCB MEDOOHVAL Integer 4 0 0 H1ATTACH Housing Units in Structure 1, attached - [B25024_E003] USCB H1ATTACH Integer 4 0 0 H1DETACH Housing Units in Structure 1, detached - [B25024_E002] USCB H1DETACH Integer 4 0 0 H2UNIT Housing Units in Structure 2 - [B25024_E004] USCB H2UNIT Integer 4 0 0 H3_4UNIT Housing Units in Structure 3 or 4 - [B25024_E005] USCB H3_4UNIT Integer 4 0 0 H5_9UNIT Housing Units in Structure 5 to 9 - [B25024_E006] USCB H5_9UNIT Integer 4 0 0 H10_19UNIT Housing Units in Structure 10 to 19 - [B25024_E007] USCB H10_19UNIT Integer 4 0 0 H20_49UNIT Housing Units in Structure 20 to 49 - [B25024_E008] USCB H20_49UNIT Integer 4 0 0 H50MORE Housing Units in Structure 50 or more - [B25024_E009] USCB H50MORE Integer 4 0 0 MOBILE Housing Units in Structure Mobile home - [B25024_E010] USCB MOBILE Integer 4 0 0 OTHERHOUSE Housing Units in Structure Boat, RV, van, etc. - [B25024_E011] USCB OTHERHOUSE Integer 4 0 0 H_SF Single Family - [H1ATTACH]+ [H1DETACH] USCB H_SF Integer 4 0 0 H_MF Mulit Family - [H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE] USCB H_MF Integer 4 0 0 OWNER Owner occupied housing units - [B25038_E002] USCB OWNER Integer 4 0 0 RENTER Renter occupied housing units - [B25038_E009] USCB RENTER Integer 4 0 0 OWN_21 Owner occupied housing units Moved in 2021 or later - [B25038_E003] USCB OWN_21 Integer 4 0 0 RENT_21 Renter occupied housing units Moved in 2021 or later - [B25038_E010] USCB RENT_21 Integer 4 0 0 B20 Housing Units Built 2020 or later - [B25034_E002] USCB B20 Integer 4 0 0 B10_19 Housing Units Built 2010 to 2019 - [B25034_E003] USCB B10_19 Integer 4 0 0 B00_09 Housing Units Built 2000 to 2009 - [B25034_E004] USCB B00_09 Integer 4 0 0 B90_99 Housing Units Built 1990 to 1999 - [B25034_E005] USCB B90_99 Integer 4 0 0 B80_89 Housing Units Built 1980 to 1989 - [B25034_E006] USCB B80_89 Integer 4 0 0 B70_79 Housing Units Built 1970 to 1979 - [B25034_E007] USCB B70_79 Integer 4 0 0 B60_69 Housing Units Built 1960 to 1969 - [B25034_E008] USCB B60_69 Integer 4 0 0 B50_59 Housing Units Built 1950 to 1959 - [B25034_E009] USCB B50_59 Integer 4 0 0 B40_49 Housing Units Built 1940 to 1949 - [B25034_E010] USCB B40_49 Integer 4 0 0 BEFORE39 Housing Units Built 1939 or earlier - [B25034_E011] USCB BEFORE39 Integer 4 0 0 M21 Occupied housing units moved in 2021 or later - [B25038_E003] + [B25038_E010] USCB M21 Integer 4 0 0 M18_20 Occupied housing units Moved in 2018 to 2020 - [B25038_E004] + [B25038_E011] USCB M18_20 Integer 4 0 0 M10_17 Occupied housing units Moved in 2010 to 2017 - [B25038_E005] + [B25038_E012] USCB M10_17 Integer 4 0 0 M00_09 Occupied housing units Moved in 2000 to 2009 - [B25038_E006] + [B25038_E013] USCB M00_09 Integer 4 0 0 M90_99 Occupied housing units Moved in 1990 to 1999 - [B25038_E007] + [B25038_E014] USCB M90_99 Integer 4 0 0 M89BEFORE Occupied housing units Moved in 1989 or earlier - [B25038_E008] + [B25038_E015] USCB M89BEFORE Integer 4 0 0 MO_21 Owner Occupied housing units moved in 2021 or later - [B25038_E003] USCB MO_21 Integer 4 0 0 MO_18_20 Owner Occupied housing units Moved in 2018 to 2020 - [B25038_E004] USCB MO_18_20 Integer 4 0 0 MO_10_17 Owner Occupied housing units Moved in 2010 to 2017 - [B25038_E005] USCB MO_10_17 Integer 4 0 0 MO_00_09 Owner Occupied housing units Moved in 2000 to 2009 - [B25038_E006] USCB MO_00_09 Integer 4 0 0 MO_90_99 Owner Occupied housing units Moved in 1990 to 1999 - [B25038_E007] USCB MO_90_99 Integer 4 0 0 MO89BEFORE Owner Occupied housing units Moved in 1989 or earlier - [B25038_E008] USCB MO89BEFORE Integer 4 0 0 MR_21 Renter Occupied housing units moved in 2021 or later - [B25038_E010] USCB MR_21 Integer 4 0 0 MR_18_20 Renter Occupied housing units Moved in 2018 to 2020 - [B25038_E011] USCB MR_18_20 Integer 4 0 0 MR_10_17 Renter Occupied housing units Moved in 2010 to 2017 - [B25038_E012] USCB MR_10_17 Integer 4 0 0 MR_00_09 Renter Occupied housing units Moved in 2000 to 2009 - [B25038_E013] USCB MR_00_09 Integer 4 0 0 MR_90_99 Renter Occupied housing units Moved in 1990 to 1999 - [B25038_E014] USCB MR_90_99 Integer 4 0 0 MR89BEFORE Renter Occupied housing units Moved in 1989 or earlier - [B25038_E015] USCB MR89BEFORE Integer 4 0 0 MYTOTAL Median year householder moved into unit - Occupied Housing Units Total - [B25039_E001] USCB MYTOTAL Integer 4 0 0 MYOWNER Median year householder moved into unit - Occupied Housing Units Owner - [B25039_E002] USCB MYOWNER Integer 4 0 0 MYRENTER Median year householder moved into unit - Occupied Housing Units Renter - [B25039_E003] USCB MYRENTER Integer 4 0 0 VEHICLE_0 Occupied Housing Units with No vehicle available - [B25044_E003] + [B25044_E010] USCB VEHICLE_0 Integer 4 0 0 VEHICLE_1 Occupied Housing Units with 1 vehicle available - [B25044_E004] + [B25044_E011] USCB VEHICLE_1 Integer 4 0 0 VEHICLE_2 Occupied Housing Units with 2 vehicles available - [B25044_E005] + [B25044_E012] USCB VEHICLE_2 Integer 4 0 0 VEHICLE_3 Occupied Housing Units with 3 vehicles available - [B25044_E006] + [B25044_E013] USCB VEHICLE_3 Integer 4 0 0 VEHICLE_4 Occupied Housing Units with 4 vehicles available - [B25044_E007] + [B25044_E014] USCB VEHICLE_4 Integer 4 0 0 VEHICLE5G Occupied Housing Units with 5 or more vehicles available - [B25044_E008] + [B25044_E015] USCB VEHICLE5G Integer 4 0 0 S_TOTAL Ability to Speak English for the Population 5+ Yrs Total - [B16004_E001] USCB S_TOTAL Integer 4 0 0 S_VERYWELL Ability to Speak English for the Population 5+ Yrs Speak English 'very well' - [B16004_E005] + [B16004_E010] + [B16004_E015] + [B16004_E020] + [B16004_E027] + [B16004_E032] + [B16004_E037] + [B16004_E042] + [B16004_E049] + [B16004_E054] + [B16004_E059] + [B16004_E064] USCB S_VERYWELL Integer 4 0 0 S_WELL Ability to Speak English for the Population 5+ Yrs Speak English 'well' - [B16004_E006] + [B16004_E011] + [B16004_E016] + [B16004_E021] + [B16004_E028] + [B16004_E033] + [B16004_E038] + [B16004_E043] + [B16004_E050] + [B16004_E055] + [B16004_E060] + [B16004_E065] USCB S_WELL Integer 4 0 0 S_NOTWELL Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [B16004_E007] + [B16004_E012] + [B16004_E017] + [B16004_E022] + [B16004_E029] + [B16004_E034] + [B16004_E039] + [B16004_E044] + [B16004_E051] + [B16004_E056] + [B16004_E061] + [B16004_E066] USCB S_NOTWELL Integer 4 0 0 S_NOTATALL Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [B16004_E008] + [B16004_E013] + [B16004_E018] + [B16004_E023] + [B16004_E030] + [B16004_E035] + [B16004_E040] + [B16004_E045] + [B16004_E052] + [B16004_E057] + [B16004_E062] + [B16004_E067] USCB S_NOTATALL Integer 4 0 0 S_ENGLISH Ability to Speak English for the Population 5+ Yrs Speak only English - [B16004_E003] + [B16004_E025] + [B16004_E047] USCB S_ENGLISH Integer 4 0 0 S_SPANISH Ability to Speak English for the Population 5+ Yrs Speak Spanish - [B16004_E004] + [B16004_E026] + [B16004_E048] USCB S_SPANISH Integer 4 0 0 S_EUROPE Ability to Speak English for the Population 5+ Yrs Speak other Indo-European languages - [B16004_E009] + [B16004_E031] + [B16004_E053] USCB S_EUROPE Integer 4 0 0 S_ASIAN Ability to Speak English for the Population 5+ Yrs Speak Asian and Pacific Island languages - [B16004_E014] + [B16004_E036] + [B16004_E058] USCB S_ASIAN Integer 4 0 0 S_OTHER Ability to Speak English for the Population 5+ Yrs Speak other languages - [B16004_E019] + [B16004_E041] + [B16004_E063] USCB S_OTHER Integer 4 0 0 S_NOTVERYWELL Ability to Speak English for the Population 5+ Yrs, speak well, not well, or not at all - [s_well] + [s_notwell] + [s_notatall] USCB S_NOTVERYWELL Integer 4 0 0 S_NOT Ability to Speak English for the Population 5+ Yrs, not well, or not at all - [s_notwell] + [s_notatall] USCB S_NOT Integer 4 0 0 HL_TOTAL Total Households by Household Language by Household Limited English Speaking Status - [C16002_E001] USCB HL_TOTAL Integer 4 0 0 HL_ENGLISH Households that speak English. This includes households that are English only, or that speak other languages but are not a limited English speaking household. - [C16002_E002] + [C16002_E005]+ [C16002_E008]+ [C16002_E011]+ [C16002_E014] USCB HL_ENGLISH Integer 4 0 0 HL_SPAN_L Households that speak Spanish: Limited English speaking household - [C16002_E004] USCB HL_SPAN_L Integer 4 0 0 HL_EURO_L Households that speak Other Indo-European languages: Limited English speaking household - [C16002_E007] USCB HL_EURO_L Integer 4 0 0 HL_ASIAN_L Households that speak Asian and Pacific Island languages: Limited English speaking household - [C16002_E010] USCB HL_ASIAN_L Integer 4 0 0 HL_OTHER_L Households that speak Other languages: Limited English speaking household - [C16002_E013] USCB HL_OTHER_L Integer 4 0 0 LABOR_CIV Civilian Employed Population 16 Years And Over Total - [C24010_E001] USCB LABOR_CIV Integer 4 0 0 RTOTAL Ratio of Income to Poverty Level in the Past 12 Months. Total population for whom Poverty Status is Determined - [C17002_E001] USCB RTOTAL Integer 4 0 0 RU50 Ratio of Income to Poverty Level in the Past 12 Months Under .50 - [C17002_E002] USCB RU50 Integer 4 0 0 R50_99 Ratio of Income to Poverty Level in the Past 12 Months .50 to .99 - [C17002_E003] USCB R50_99 Integer 4 0 0 R1_124 Ratio of Income to Poverty Level in the Past 12 Months 1.00 to 1.24 - [C17002_E004] USCB R1_124 Integer 4 0 0 R125ABV Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - [C17002_E005] + [C17002_E006] + [C17002_E007] + [C17002_E008] USCB R125ABV Integer 4 0 0 RU1 Ratio of Income to Poverty Level in the Past 12 Months under 1 - [RU50] + [R50_99] USCB RU1 Integer 4 0 0 RU2ABV Ratio of Income to Poverty Level in the Past 12 Months 2.00 and over - [C17002_E008] USCB RU2ABV Integer 4 0 0 DIS_TOTAL Population by Poverty Status in the Past 12 Months by Disability Status by Employment Status for the Population 20 to 64 Years Total - [B23024_E001] USCB DIS_TOTAL Integer 4 0 0 DIS_2064 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with a disability - [B23024_E003] + [B23024_E018] USCB DIS_2064 Integer 4 0 0 NO_DIS2064 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with No disability - [B23024_E010] + [B23024_E025] USCB NO_DIS2064 Integer 4 0 0 GMTOT Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Total - [B07201_E001] + [B07202_E001] + [B07203_E001] USCB GMTOT Integer 4 0 0 GMSAME Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Same house 1 year ago - [B07201_E002] + [B07202_E002] + [B07203_E002] USCB GMSAME Integer 4 0 0 GMDIFF Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Different house in United States 1 year ago - [B07201_E003] + [B07202_E003] + [B07203_E003] USCB GMDIFF Integer 4 0 0 GMABROAD Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Abroad 1 year ago - [B07201_E014] + [B07202_E014] + [B07203_E011] USCB GMABROAD Integer 4 0 0 C_TOTAL Types of Computers in Household. Total Households - [B28001_E001] USCB C_TOTAL Integer 4 0 0 C_COMPUTER Households that have one or more types of computing devices. Includes: Desktop or laptop, Smartphone, Tablet or other portable wireless computer, Other computer - [B28001_E002] USCB C_COMPUTER Integer 4 0 0 C_NO_COMP Households that have No Computer - [B28001_E011] USCB C_NO_COMP Integer 4 0 0 I_TOTAL Presence and Types of Internet Subscriptions in Household. Total Households. - [B28002_E001] USCB I_TOTAL Integer 4 0 0 I_INTERNET Households with an Internet Subscription. Includes: Dial-up, Cellular, Broadband, Satellite, or Other - [B28002_E002] USCB I_INTERNET Integer 4 0 0 I_NO_SUB Households with Internet Access without a Subscription - [B28002_E012] USCB I_NO_SUB Integer 4 0 0 I_NO_NET Households with no Internet Access - [B28002_E013] USCB I_NO_NET Integer 4 0 0 PCT_NOTWEL Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - ([S_NOTWELL]/[S_TOTAL] * 100) GeoPlan PCT_NOTWEL Double 8 0 0 PCT_NOTATA Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - ([S_NOTATALL]/[S_TOTAL] * 100) GeoPlan PCT_NOTATA Double 8 0 0 DEN_NOTWEL Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [S_NOTWELL]/[ACRES] GeoPlan DEN_NOTWEL Double 8 0 0 DEN_NOTATA Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [S_NOTATALL]/[ACRES] GeoPlan DEN_NOTATA Double 8 0 0 PCT_BACHLR Percent Educational Attainment for the Population 25 Years and over Bachelor's degree only - ([BACHELORS]/[TOTALPOP] * 100) GeoPlan PCT_BACHLR Double 8 0 0 PCT_POV Percent Population with income in the past 12 months below poverty level - ([BELOW_POV]/[ABVE_BELW] * 100) GeoPlan PCT_POV Double 8 0 0 PCT_RU50 Percent Ratio of Income to Poverty Level in the Past 12 Months Under .50 - ([RU50]/[RTOTAL] * 100) GeoPlan PCT_RU50 Double 8 0 0 PCT_R50_9 RPercent atio of Income to Poverty Level in the Past 12 Months .50 to .99 - ([R50_99]/[RTOTAL] * 100) GeoPlan PCT_R50_9 Double 8 0 0 PCT_R125AB Percent Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - ([R125ABV]/[RTOTAL] * 100) GeoPlan PCT_R125AB Double 8 0 0 PCT_RU1 Percent Ratio of Income to Poverty Level in the Past 12 Months under 1 - ([RU1]/[RTOTAL] * 100) GeoPlan PCT_RU1 Double 8 0 0 DEN_POP Population per acre - [TOTALPOP]/[ACRES] GeoPlan DEN_POP Double 8 0 0 DEN_WHITE Density per acre of Persons White alone - [WHITE]/[ACRES] GeoPlan DEN_WHITE Double 8 0 0 DEN_BLACK Density per acre of Persons Black or African American alone - [BLACK]/[ACRES] GeoPlan DEN_BLACK Double 8 0 0 DEN_AMERI Density per acre of Persons American Indian and Alaska Native alone - [AMERI_ES]/[ACRES] GeoPlan DEN_AMERI Double 8 0 0 DEN_ASIAN Density per acre of Persons Asian alone - [ASIAN]/[ACRES] GeoPlan DEN_ASIAN Double 8 0 0 DEN_HAWN Density per acre of Persons Native Hawaiian and Other Pacific Islander alone - [HAWN_PI]/[ACRES] GeoPlan DEN_HAWN Double 8 0 0 DEN_OTHER Density per acre of Persons Some other race alone - [OTHER]/[ACRES] GeoPlan DEN_OTHER Double 8 0 0 DEN_MULTI Density per acre of Persons Two or more races - [MULT_RACE]/[ACRES] GeoPlan DEN_MULTI Double 8 0 0 DEN_HISP Density per acre of Persons Hispanic or Latino - [HISPANIC]/[ACRES] GeoPlan DEN_HISP Double 8 0 0 DEN_DIS20 Density per acre of Population 20 To 64 Years With a disability - [DIS_2064]/[ACRES] GeoPlan DEN_DIS20 Double 8 0 0 PCT_WHITE Percent of Persons White alone - ([WHITE] /[TOTALPOP] *100) GeoPlan PCT_WHITE Double 8 0 0 PCT_BLACK Percent of Persons Black or African American alone - ([BLACK] /[TOTALPOP] *100) GeoPlan PCT_BLACK Double 8 0 0 PCT_AMERI Percent of Persons American Indian and Alaska Native alone - ([AMERI_ES] /[TOTALPOP] *100) GeoPlan PCT_AMERI Double 8 0 0 PCT_ASIAN Percent of Persons Asian alone - ([ASIAN] /[TOTALPOP] *100) GeoPlan PCT_ASIAN Double 8 0 0 PCT_HAWN Percent of Persons Native Hawaiian and Other Pacific Islander alone - ([HAWN_PI] /[TOTALPOP] *100) GeoPlan PCT_HAWN Double 8 0 0 PCT_OTHER Percent of Persons Some other race alone - ([OTHER] /[TOTALPOP] *100) GeoPlan PCT_OTHER Double 8 0 0 PCT_MULTI Percent of Persons Two or more races - ([MULT_RACE] /[TOTALPOP] *100) GeoPlan PCT_MULTI Double 8 0 0 PCT_HISP Percent of Persons Hispanic or Latino - ([HISPANIC] /[TOTALPOP] *100) GeoPlan PCT_HISP Double 8 0 0 PCT_DIS20 Percent Population 20 To 64 Years With a disability - ([DIS_2064]/[DIS_TOTAL] * 100) GeoPlan PCT_DIS20 Double 8 0 0 DESCRIPT GeoPlan added field based on GEOID GeoPlan DESCRIPT String 12 0 0 FGDLAQDATE The date GeoPlan acquired the data from the source. GeoPlan FGDLAQDATE Date 8 0 0 TIGERYEAR Source date for Tiger data (spatial portion of this layer) GeoPlan TIGERYEAR String 25 0 0 DATAYEAR Source Date of ACS data GeoPlan DATAYEAR String 25 0 0 AUTOID AUTOID Integer 4 0 Unique ID added by GeoPlan. This field is for historic tracking of features. 0 SHAPE_Length SHAPE_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. SHAPE_Area SHAPE_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 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