U.S. Census Bureau20220509Active Government (FUNCSTAT = A) from 2020 Census Places in Florida - DissolvedVector Digital Data Set (Polygon)Washington, DCU.S. Census BureauState of Floridawww.census.govThis dataset contains a dissolved version of a selection of US Census Bureau 2020 Census Places (where FUNCSTAT = A), which represents active government providing primary general-purpose functions. This data is designed for use within the EST Notification Tool.Represents a selection of Censsu Places with active government providing primary general-purpose functions. This is a dissolved version of active_govt_cenplace that is for use with the EST Notification Tool.2016010120201231publication dateAs needed-87.285936-79.81527031.03499524.503848ISO 19115 Topic CategorysocioeconomiceducationhousingpopulationeconomicISO 19115 Topic CategoryboundariessocietyNoneFloridaplaceNoneThe 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.htmlU.S. Census Bureaumailing and physical4600 Silver Hill Road, Stop 7400Washington, D.C.20233-7400US(301) 763-4039(301) 763-4348http://www.census.gov/ Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.htmlGeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan100000onLineSpatial and Attribute InformationThe 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/2020/prototype/5YRData/. date downloaded: 4/14/22. Merged layers tlgdb_2020_a_12_fl.gdb\Census_Designated_Place and Incorporated_Place to create CENPLACE_ACS_2020. 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 fieldsGeoPlan20220509Select FUNCSTAT = A. Rename to active_govt_cenplace_2020. Dissolved all records.GeoPlan20220810VectorGT-polygon composed of chains1NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101ACTIVE_GOVT_NOTIFICATION_2020CENPLACE_ACS_2020.DBFU.S. Census BureauOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.SHAPEFeature geometry.EsriCoordinates defining the features.DESCRIPTGeoPlan added field based on NAME (without the "FLORIDA")GeoPlanFGDLAQDATEAUTOIDUnique ID added by GeoPlanGeoPlanSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFor FGDL Software: http://www.fgdl.org/software.htmlWeb site: http://www.fgdl.orgTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlDOWNLOADABLE DATAThe 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.htmlVector Digital Data Set (Polygon)20220819U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branchmailing4600 Silver Hill Road, Stop 7400WashingtonD.C.20233-7400US301-763-1128301-763-4710geo.tiger@census.govFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeU.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch301-763-1128301-763-47104600 Silver Hill Road, Stop 7400WashingtonD.C.20233-7400USgeo.tiger@census.gov20220819ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlVector Digital Data Set (Polygon)DOWNLOADABLE DATAwww.census.govActive Government (FUNCSTAT = A) from 2020 Census Places in Florida - Dissolved2022-05-09U.S. Census BureauWashington, DCU.S. Census BureauVector Digital Data Set (Polygon)State of FloridaThis dataset contains a dissolved version of a selection of US Census Bureau 2020 Census Places (where FUNCSTAT = A), which represents active government providing primary general-purpose functions. This data is designed for use within the EST Notification Tool.Represents a selection of Censsu Places with active government providing primary general-purpose functions. This is a dissolved version of active_govt_cenplace that is for use with the EST Notification Tool.U.S. Census Bureau(301) 763-4039(301) 763-43484600 Silver Hill Road, Stop 7400Washington, D.C.20233-7400UShttp://www.census.gov/FloridaplacesocietyboundariesISO 19115 Topic CategorypopulationeducationsocioeconomiceconomichousingISO 19115 Topic CategorysocietypopulationeducationsocioeconomicFloridaboundarieseconomichousingplaceThe 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.htmlThe 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.htmlAdditional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.htmlVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date2016-01-012020-12-31-87.285936-79.8152724.50384831.034995This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanSelect FUNCSTAT = A. Rename to active_govt_cenplace_2020. Dissolved all records.2022-08-10GeoPlanThe 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/2020/prototype/5YRData/. date downloaded: 4/14/22. Merged layers tlgdb_2020_a_12_fl.gdb\Census_Designated_Place and Incorporated_Place to create CENPLACE_ACS_2020. A variety of GIS techniques including python scripting were used to download, parse, aggregate, and join the tabular demographic data to the spatial data. 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