20230104
2020 U.S. Census Urban Areas in Florida
vector digital data
State of Florida
This dataset contains US Census Bureau 2020 urban areas in Florida. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. Nationwide, there are 2,646 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.
This dataset contains US Census Bureau 2020 urban areas in Florida.
20230104
Unknown
Annually
-87.657428
-79.879425
30.863992
24.505422
ISO 19115 Topic Categories
society
None
uscb tiger urban areas
None
Use Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.
USCB
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
mailing and physical
4600 Silver Hill Road, Stop 7400
Washington DC
Washington DC
20233-7400
301-763-1128
301-763-4710
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
Esri ArcGIS 13.1.0.41833
GeoPlan relied on the integrity of the attribute information within the original data.
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure.
The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining the Geographic Names Information System (GNIS). Feature attribute information has been examined but has not been fully tested for consistency.
For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
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.
onLine
Spatial and Attribute Information
University of Florida GeoPlan Center downloaded this data from the USCB on 3/3/2023 in shapefile format, from the following webpage:
https://www2.census.gov/geo/tiger/TIGER_RD18/LAYER/UAC20/
The following selection was performed:
"NAME20" like '%, FL%'
Added DESCRIPT field based on NAME20
Added FGDLAQDATE based on date downloaded from source
Projected to EPSG 3087
Renamed from tl_rd22_us_uac20 to ua2020_jan23
20230303
UF GeoPlan Center
Vector
SimpleFALSE0TRUEFALSE
ua2020_jan23
Feature Class0
OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
SHAPEGeometry400
UACE20
2020 Census urban area code
U.S Census Bureau
UACE20String500
GEOID20
Urban area identifier, a concatenation of 2020 Census state Federal Information Processing Series (FIPS) code and urban area code Urban area identifier, a concatenation of 2020 Census state Federal Information Processing Series (FIPS) code and urban area code
U.S Census Bureau
GEOID20String500
NAME20
2020 Census urban area name
U.S Census Bureau
NAME20String10000
NAMELSAD20
2020 Census name and the translated legal/statistical area description for urban area
U.S Census Bureau
NAMELSAD20String10000
LSAD20
2020 Census legal/statistical area description code for urban area
U.S Census Bureau
LSAD20String200
MTFCC20
MAF/TIGER feature class code
U.S Census Bureau
MTFCC20String500
UATYP20
2020 Census urban area type
U.S Census Bureau
UATYP20String100
FUNCSTAT20
2020 Census functional status
U.S Census Bureau
FUNCSTAT20String100
ALAND20
ALAND20Double8140
AWATER20
2020 Census water area (square meters)
U.S Census Bureau
AWATER20Double8140
INTPTLAT20
2020 latitude of the internal point
U.S Census Bureau
INTPTLAT20String1100
INTPTLON20
2020 Census longitude of the internal point
U.S Census Bureau
INTPTLON20String1200
DESCRIPT
Field added by GeoPlan based on NAME20.
GeoPlan
DESCRIPTString10000
FGDLAQDATE
The date GeoPlan acquired the data from the source.
GeoPlan
FGDLAQDATEDate800
SHAPE.AREASHAPE.AREADouble000SHAPE.LENSHAPE.LENDouble000
Florida Geographic Data Library (FGDL)
mailing
431 Architecture PO Box 115706
Gainesville
FL
32611-5706
US
None
Web site: http://www.fgdl.org
DOWNLOADABLE DATA
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
https://www.fgdl.org/
DOWNLOADABLE DATA
20230307
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
20230307
ArcGIS Metadata
1.0
2020 U.S. Census Urban Areas in Florida2023-01-04vector digital dataState of FloridaThis dataset contains US Census Bureau 2020 urban areas in Florida. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. Nationwide, there are 2,646 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.This dataset contains US Census Bureau 2020 urban areas in Florida. U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products BranchU.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products BranchUSCB301-763-1128301-763-47104600 Silver Hill Road, Stop 7400Washington DCWashington DC20233-7400societyISO 19115 Topic Categoriesuscb tiger urban areassocietyuscb tiger urban areasUse Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.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.htmlEsri ArcGIS 13.1.0.41833true-87.657428-79.87942530.86399224.505422Unknown2023-01-041-87.657428-79.87942530.86399224.505422
University of Florida GeoPlan Center downloaded this data from the USCB on 3/3/2023 in shapefile format, from the following webpage:
https://www2.census.gov/geo/tiger/TIGER_RD18/LAYER/UAC20/
The following selection was performed:
"NAME20" like '%, FL%'
Added DESCRIPT field based on NAME20
Added FGDLAQDATE based on date downloaded from source
Projected to EPSG 3087
Renamed from tl_rd22_us_uac20 to ua2020_jan23
2023-03-03
UF GeoPlan Center
Spatial and Attribute Information
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure.
The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining the Geographic Names Information System (GNIS). Feature attribute information has been examined but has not been fully tested for consistency.
For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
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
1.0
UA2020_JAN2300250341.165742793967.92705562210.639755761764.43280316.153ArcSDE ConnectionProjectedGCS_North_American_1983_HARNLinear 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/10.8'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>FeatureClassToFeatureClass Q:\finaldata\state\pre_load\ua2020_jan23.shp "Database Connections\poke_etat.sde\aaa\" UA2020_JAN23 # "UACE20 "UACE20" true true false 5 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,UACE20,-1,-1;GEOID20 "GEOID20" true true false 5 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,GEOID20,-1,-1;NAME20 "NAME20" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,NAME20,-1,-1;NAMELSAD20 "NAMELSAD20" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,NAMELSAD20,-1,-1;LSAD20 "LSAD20" true true false 2 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,LSAD20,-1,-1;MTFCC20 "MTFCC20" true true false 5 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,MTFCC20,-1,-1;UATYP20 "UATYP20" true true false 1 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,UATYP20,-1,-1;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,FUNCSTAT20,-1,-1;ALAND20 "ALAND20" true true false 14 Double 0 14 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,ALAND20,-1,-1;AWATER20 "AWATER20" true true false 14 Double 0 14 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,INTPTLAT20,-1,-1;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,INTPTLON20,-1,-1;DESCRIPT "DESCRIPT" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,DESCRIPT,-1,-1;FGDLAQDATE "FGDLAQDATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\state\pre_load\ua2020_jan23.shp,FGDLAQDATE,-1,-1" #AddField "Database Connections\poke_etat.sde\aaa\\UA2020_JAN23" AUTOID LONG # # # # NULLABLE NON_REQUIRED #CalculateField "Database Connections\poke_etat.sde\aaa\\UA2020_JAN23" AUTOID !OBJECTID! PYTHON_9.3 #AddIndex "Database Connections\poke_etat.sde\aaa\\UA2020_JAN23" AUTOID A20230307135234 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\UA2020_JAN23" DESCRIPT D20230307135234 NON_UNIQUE NON_ASCENDINGAnalyze "Database Connections\poke_etat.sde\aaa\\UA2020_JAN23" BUSINESS20230307135223002023030713522300
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6.153
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/
SDE Feature Class
datasetEPSG6.13(9.2.0)