University of Florida GeoPlan Center20220614Florida_Parcels_2021.gdbvector digital dataGainesville, FLUniversity of Florida GeoPlan CenterState of Floridawww.fgdl.orgThis dataset contains the 2021 parcels dissolved by the decade of the actual year built for each respective parcel polygon within the State of Florida. Actual Year Built for each parcel polygon represents the original year that the structure / building on the property was built. Effective Year Built represents the last date which the structure / building was updated / renovated, etc. This layer is an update to the FGDL layer YB_DECADES_2020. This layer is the parent for Summary - Year Built (1970's), which uses the following selection: YB_DECADES.FIFTY_YEAR=3. This layer is the parent for Summary - Year Built (Before 1970), which uses the following selection: YB_DECADES.FIFTY_YEAR=1.This dataset contains the 2021 parcels dissolved by the decade of the actual year built for each respective parcel polygon within the State of Florida. Actual Year Built for each parcel polygon represents the original year that the structure / building on the property was built. 20211231State of FloridaCompleteAs needed-87.637996-79.87253031.04263824.480326NoneBuiltCadastreYearTrendsGrowthPlanningISO 19115 Topic CategoryplanningCadastreNoneFloridaNone2021NoneThe 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.University of Florida GeoPlan CenterKate NorrisGeospatial Data Managermailing and physical

131 Architecture Building, PO Box 115706

GainesvilleFL32611-5706USdata@fgdl.orgTechnical Support: https://www.geoplan.ufl.edu/data@fgdl.orgWeb site: https://www.fgdl.orgFlorida Department of Revenue, County Property Appraisers, and the GeoPlan Center. Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Florida Geographic Data Library: https://www.fgdl.org/ Florida Department of Revenue info: https://floridarevenue.com/property/Pages/Home.aspx GeoPlan 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 GeoPlanVariesonLineSpatial and Attribute InformationGeoPlan collected and used the available 2021 parcel tax data records gathered from the State Department of Revenue (DOR) and County Property Appraisers to create the YB_DECADE_2021 dataset. [Original Statewide Parcel Layer: Florida_Parcels_2021.gdb] Process for dissolving parcel polygons based on decade of actual year built: - For each county a new field representing Actual Year Built [AYRBLT] was populated based on the attribute table information for the following fields; ACTYRBLT and AYRB. - First [AYRBLT] was set equal to ACTYRBLT, - Next a selection set was created where [AYRBLT] = 0, these selected features were set equal to AYRB. - Also checked for data in the Effective Year Built field where ACTYRBLT = 0. - The [AYRBLT] field was then repopulated as the following, where for example, 1999 becomes 1990: str(!ACTYRBLT!)[0:3] + "0" - The parcel polygon boundaries were then Dissolved (as single part features) based on the combination of the CNTYNAME and AYRBLT fields. The process maintained the FIRST: FIRST_AYRBLTD and FIRST_CNTYNAME fields during this step. - The Dissolved layers were then run through the Repair Geometry Command 3x. - Next the Integrate Command GeoProcessing Function was run with a tolerance of 1m to remove redundant points, such as over-digitized vertices found throughout the layer, this function was also used to compress the file size of the layer via a relatively low degree of simplification. A tolerance equal to 1-meter was set in order to allow for a maximum offset of 1m from the original source data. To correct for topological errors created during this process the Repair Geometry Function was then run three times. - A spatial Join was then run with the Dissolved Layers and their corresponding Full County Parcel Label Points (which where dissolved on PARCELID) in order to get Parcel Count for each dissolved feature. - The [YB_DECADE] was populated as: str(!FIRST_AYRBLT!) + " - " + str(!FIRST_AYRBLT!)[0:3] + "9" - The final shapefile represents polygons of parcels which structures/ buildings were originally built in the same decade. - Several other fields were added to the attribute table: [DESCRIPT] - Based on [YB_DECADE] [FGDLAQDATE] - The date FGDL acquired the original data from the Source. As well as [CNTYNAME], [SYMBOLOGY], [LAT_DD], [LONG_DD], [MGRS], [GOOGLEMAP], [ACRES], and [AUTOID]. - Reviewed and cleaned up Godzilla Polygons with too many vertices. Please Note: Tabular spatial information was derived from the feature's label point and not the feature's centroid.GeoPlan20220614University of Florida GeoPlan CenterKate NorrisGeospatial Data Manager & Senior GIS Specialistmailing and physical

131 Architecture Building | PO Box 115706

GainesvilleFL32611-5706USwww.fgdl.orgdata@fgdl.orgVectorGT-polygon composed of chains2828318NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101YB_DECADES_2021YB_DECADES_2021.DBFFDOROBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.ESRICoordinates defining the features.CNTYNAMEThe County Name.GeoPlan CenterYB_DECADEThe range of the actual year builts by decades.GeoPlan CenterPAR_COUNTNumber of individual parcels in dissolved polygon. Please Note: Some Multi-part Parcels have been split during the Single Part Dissolve process, for those polygons there will be only one record for the actual parcel count, which will result in a few of these features having a PARCOUNT = 0. One Example would be a Multi-part Parcel which contains two separate polygons split by a road, there is only one centroid created for the count field, so one of the halves will have a PARCOUNT = 1 while the other will have a PARCOUNT = 0. Since there isn't that many Multi-part parcels this should affect less than 3% of the records.GeoPlan CenterSYMBOLOGYETDM Map Symbology.GeoPlan Center1Actual Year Built - Pre 1970GeoPlan Center2Actual Year Built - Post 1970GeoPlan Center9PARCELS WITH NO VALUESGeoPlan CenterLAT_DDLatitude in decimal degrees.GeoPlan CenterLONG_DDLongitude in decimal degrees.GeoPlan CenterMGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/ GeoPlan CenterGOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlan CenterACRESNumber of Acres.GeoPlan CenterDESCRIPTBased on YB_DECADE.GeoPlan CenterFGDLAQDATEThe date FGDL acquired the data from the source.GeoPlan CenterAUTOIDUnique ID added by GeoPlanGeoPlan CenterSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing

131 Architecture, PO Box 115706

GainesvilleFlorida32611-5706USdata@fgdl.orgWeb site: http://www.fgdl.orgGeneral Information About FGDL: http://www.fgdl.org/metadataexplorer/help.htmlFGDL Metadata Information: http://www.fgdl.org/metadataexplorer/metadata.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/metadataexplorer/fgdlfaq.htmlFGDL Source Data Links: http://www.geoplan.ufl.edu/fgdl_source_links.htmFGDL Mailing list: http://www.fgdl.org/metadataexplorer/updates.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.www.fgdl.orgDOWNLOADABLE DATA20220711University of Florida GeoPlan CenterKate NorrisGeospatial Data Managermailing and physical

131 Architecture Building, PO Box 115706

GainesvilleFL32611-5706USdata@fgdl.orgdata@fgdl.orgwww.fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Managerdata@fgdl.org131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgwww.fgdl.org20220711ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)data@fgdl.org131 Architecture, PO Box 115706GainesvilleFlorida32611-5706USFGDL Metadata Information: http://www.fgdl.org/metadataexplorer/metadata.htmlGeneral Information About FGDL: http://www.fgdl.org/metadataexplorer/help.htmlFGDL Mailing list: http://www.fgdl.org/metadataexplorer/updates.htmlWeb site: http://www.fgdl.orgFGDL Frequently Asked Questions: http://www.fgdl.org/metadataexplorer/fgdlfaq.htmlFGDL Source Data Links: http://www.geoplan.ufl.edu/fgdl_source_links.htmwww.fgdl.orgDOWNLOADABLE DATADOWNLOADABLE DATAwww.fgdl.orgParcels Dissolved by Decade of Actual Year Built in Florida - 20212022-06-14Florida_Parcels_2021.gdbUniversity of Florida GeoPlan CenterGainesville, FLUniversity of Florida GeoPlan Centervector digital dataState of FloridaThis dataset contains the 2021 parcels dissolved by the decade of the actual year built for each respective parcel polygon within the State of Florida. Actual Year Built for each parcel polygon represents the original year that the structure / building on the property was built. Effective Year Built represents the last date which the structure / building was updated / renovated, etc. This layer is an update to the FGDL layer YB_DECADES_2020.This dataset contains the 2021 parcels dissolved by the decade of the actual year built for each respective parcel polygon within the State of Florida. Actual Year Built for each parcel polygon represents the original year that the structure / building on the property was built.Florida Department of Revenue, County Property Appraisers, and the GeoPlan Center.Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Managerdata@fgdl.org131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USTechnical Support: https://www.geoplan.ufl.edu/data@fgdl.orgWeb site: https://www.fgdl.orgFlorida2021CadastreGrowthPlanningYearTrendsBuiltplanningCadastreISO 19115 Topic CategoryCadastreGrowthPlanningplanningCadastreFloridaYearTrends2021BuiltThe 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.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.Florida Geographic Data Library: https://www.fgdl.org/ Florida Department of Revenue info: https://floridarevenue.com/property/Pages/Home.aspxVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.637996-79.8725324.48032631.042638State of FloridaThis 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 GeoPlanGeoPlan collected and used the available 2021 parcel tax data records gathered from the State Department of Revenue (DOR) and County Property Appraisers to create the YB_DECADE_2021 dataset. [Original Statewide Parcel Layer: Florida_Parcels_2021.gdb] Process for dissolving parcel polygons based on decade of actual year built: - For each county a new field representing Actual Year Built [AYRBLT] was populated based on the attribute table information for the following fields; ACTYRBLT and AYRB. - First [AYRBLT] was set equal to ACTYRBLT, - Next a selection set was created where [AYRBLT] = 0, these selected features were set equal to AYRB. - Also checked for data in the Effective Year Built field where ACTYRBLT = 0. - The [AYRBLT] field was then repopulated as the following, where for example, 1999 becomes 1990: str(!ACTYRBLT!)[0:3] + "0" - The parcel polygon boundaries were then Dissolved (as single part features) based on the combination of the CNTYNAME and AYRBLT fields. The process maintained the FIRST: FIRST_AYRBLTD and FIRST_CNTYNAME fields during this step. - The Dissolved layers were then run through the Repair Geometry Command 3x. - Next the Integrate Command GeoProcessing Function was run with a tolerance of 1m to remove redundant points, such as over-digitized vertices found throughout the layer, this function was also used to compress the file size of the layer via a relatively low degree of simplification. A tolerance equal to 1-meter was set in order to allow for a maximum offset of 1m from the original source data. To correct for topological errors created during this process the Repair Geometry Function was then run three times. - A spatial Join was then run with the Dissolved Layers and their corresponding Full County Parcel Label Points (which where dissolved on PARCELID) in order to get Parcel Count for each dissolved feature. - The [YB_DECADE] was populated as: str(!FIRST_AYRBLT!) + " - " + str(!FIRST_AYRBLT!)[0:3] + "9" - The final shapefile represents polygons of parcels which structures/ buildings were originally built in the same decade. - Several other fields were added to the attribute table: [DESCRIPT] - Based on [YB_DECADE] [FGDLAQDATE] - The date FGDL acquired the original data from the Source. As well as [CNTYNAME], [SYMBOLOGY], [LAT_DD], [LONG_DD], [MGRS], [GOOGLEMAP], [ACRES], and [AUTOID]. - Reviewed and cleaned up Godzilla Polygons with too many vertices. Please Note: Tabular spatial information was derived from the feature's label point and not the feature's centroid.2022-06-14Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager & Senior GIS Specialistwww.fgdl.org131 Architecture Building | PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgGeoPlanSpatial and Attribute Information0282831820220711195852001.0original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VW5pdmVyc2l0eSBvZiBGbG9yaWRhIEdlb1BsYW4gQ2VudGVyPC9vcmlnaW4+DQogICAgICAgIDxw dWJkYXRlPjIwMjIwNjE0PC9wdWJkYXRlPg0KICAgICAgICA8dGl0bGU+UGFyY2VscyBEaXNzb2x2 ZWQgYnkgRGVjYWRlIG9mIEFjdHVhbCBZZWFyIEJ1aWx0IGluIEZsb3JpZGEgLSAyMDIxPC90aXRs ZT4NCiAgICAgICAgPGVkaXRpb24+RmxvcmlkYV9QYXJjZWxzXzIwMjEuZ2RiPC9lZGl0aW9uPg0K ICAgICAgICA8Z2VvZm9ybT52ZWN0b3IgZGlnaXRhbCBkYXRhPC9nZW9mb3JtPg0KICAgICAgICA8 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