This feature layer is a daily extract of Tallahassee and Leon County's production address layer. It has been filtered to remove addresses that are not current and those that do not represent a potential mail receiving address like billboards, hydrants, utility locations, etc. While TLCGIS facilitates the addressing system and database, the actual addresses in this layer are actively maintained by staff at City of Tallahassee Growth Management (COTGM) and Leon County Development Services and Environmental Management (LCDSEM). Each jurisdiction has authority over its own addresses. How is the point addresses layer used? Basemap LabelingEmergency Dispatch SystemsEmergency Management/Damage AssessmentPermitting SystemsAsset Management SystemsWork Order Management SystemUtility Customer Information SystemsField WorkersSpatial AnalysisMass MailingGeocoders and Address Lookup Services

High Quality Successional and Native Forests of Tallahassee and Leon County, Florida. This feature class was created as part of the Environmentally Sensitive Areas (ESA) Mapping Project.The Native and High Quality Successional Forests were mapped in GIS as part of a larger Environmentally Sensitive Areas (ESA) mapping project, which was a collaborative effort between the city and county growth management departments, the planning department and TLCGIS. This project was driven out of a need for better data that was standardized county-wide to support environmental resource planning, protection and regulation, etc. It was also needed to support public works and emergency management. Additionally, the Tallahassee-Leon County Comprehensive Plan Conservation Element Objectives and Policies required compilation and maintenance of maps of conservation and preservation features, effective 1990--the same year that the GIS Interlocal office was created. Prior to this in 1988, the original ESA data layers were mapped by environmental professionals and stormwater engineers working in what was then called the Leon County Department of Public Works. The data was drawn onto USGS quad maps (base) using mylar overlays (scale 24,000)--drainage basins were also mapped. It was supported by a Department of Community Affairs grant, and there was assistance from the FSU Geography Department. The Native and HQS Forests were identified using DOT Vegetation Inventory Maps, USFS Soils and Vegetation maps, some aerial photo review, and ground truthing.In 1996 a proposal was brought to the GIS Executive Committee by the departments as an ESA Remap Project that would map the layers (also Greenways) at larger scales of 1,200 and 2,400 using the new GIS base map. The project was funded by the TLCGIS. The layers were mapped by OPS environmental/biology students and graduates with oversight by the departments.Native and HQS Forests originally mapped on the quad maps were then heads up digitized into the GIS using base map data and two sets of digital aerial photos from '94 & '96. Hard copy aerials from '37 and '76 were also used for comparison. In the southeastern US mixed hardwood/beech-magnolia forests have a fairly distinct spectral signature on the false color infrared imagery which staff learned and were trained to recognize, with ground truthing where possible (property owners were called for access). The upland pine/longleaf and pine oak hickory signatures were not as easy to identify. The goal of the ESA Remap was to identify forests that had been continually forested since at least '37 (less so for longleaf forests where bulk of the diversity is in the groundcover). The soil and contour layers, with the aerials were used to find additional areas that hadn't been previously mapped. So, essentially it was a process of identifying a specific signature and also the environmental conditions (soils, slope, aspect, topography) that would have supported or allowed a forest type to have been protected throughout history. For example, beech-magnolia forests are often found on steep slopes that were historically difficult to access for logging or around wetland/floodplain areas that would have potentially limited logging due to saturated soils. Florida Natural Areas Inventory Element Occurrence data and Florida Fish and Wildlife Conservation Commission Closing the Gaps data were also used.

This line feature layer displays the official boundary line for Leon County, Florida as maintained by the Leon County Property Appraiser's Office. This layer is updated on an as needed basis.

This downloadable zip file contains an ESRI File Geodatabase that is compatible with most versions of ArcGIS Pro, ArcMap, and AutoCAD Map 3D or Civil 3D. To view the geodatabase’s contents, please download the zip file to a local directory and extract its contents.This content in this file geodatabase consist of planimetric layers identifiable in the orthoimagery collected for Leon County, FL in January, 2021. TLCGIS regularly uses digital orthophotos and planimetric/hydrographic/topographic data to support regulatory functions, land management and acquisition, planning, engineering and habitat restoration projects.This dataset is part of a regularly scheduled update of LiDAR and digital orthophotography products. The dataset was created from source imagery acquired by a Leica ADS100 multispectral aerial mapping camera from January 5-18, 2021. Planimetric Layers:BridgesBuildings - Buildings feature class contains all buildings 100 square feet or greater that are visible in the 2021 orthoimagery. Hydro LinesHydro PolygonsImperv - Impervious Surface includes Airport, Building, Landscape Island, Paved Driveway, Paved Island, Paved Parking, Paved Road, Paved Road Over Bridge, Ruin, Sidewalk, Sidewalk Over Sidewalk, Tennis Court, Unfinished Building, Unpaved Driveway, Unpaved Parking, Unpaved Road, and WaterbodyImpervHydroProjectBoundaryRdedge - Road edges were extracted from the impervious surfaces data from 2021 using paved roads, unpaved roads, paved driveways, and unpaved driveways.

This sector plan was developed in keeping with Tallahassee and Leon County's commitment to promote the Southern Strategy, and to satisfy the Comprehensive Plan requirements for a comprehensive development plan for the Southwood property within the urban service area. This feature layer represents that designated boundary of that sector.

A feature layer displaying County Commission Districts of Leon County, Florida as adopted in 2022. This registered feature layer includes a custom popup with commissioner photos.

Tax Parcels of Leon County as Provided by the Leon County Property Appraiser's Office (LCPA). This polygon layer is intended to provide parcel geometry with a very limited set of attributes. The attribute table includes includes the parcel identification number or TaxID. It does not include ownership, legal descriptions, or tax valuations. This layer typically receives updated content from LCPA every weekday morning. Note: Tax parcels represent how property is taxed. In many instances, a tax parcel may include multiple lots that have been grouped in order to generate a single tax bill.

High School Zones for Leon County Florida as defined by the Leon County School Board.

This feature layer displays historical project locations as tracked by engineering staff at Leon County Public Works. This feature layer is a subset (view) of a parent hosted feature layer that is updated twice daily from a cloud (Azure) hosted SQL database that is administered by Leon County Applications team and maintained by engineering staff at Leon County Public Works.

Map Tiles is a reference dataset used to identify the spatial location of DWG contour data delivered to TLCGIS by Merrick. The attributes contained in the PAGE field in Map Tiles can be used to reference the name of the the individual DWG contour files.The individual DWG contour files are bundled into 4 quadrants for Leon County: NE, NW, SE, & SW. You may download these quadrants to use in conjuction with the Map Tiles data.

The Major Ongoing & Proposed Developments Report provides key insights and highlights of the major developments and construction projects in Tallahassee and Leon County Major projects in this report are defined as including 20+ residential units and/or 10,000 square feet of non-residential. This report illustrates that the local economy is well positioned for continued economic growth.If you have questions please contact the Tallahassee-Leon County Office of Economic Vitality, Research & Business Analytics Division at (850) 219-1060.

This feature layer displays Future Land Use (FUTLU) district boundary polygons for the City of Tallahassee and Leon County, Florida. The Future Land Use layer is maintained by Tallahassee Leon County Planning Department (TLCPD). For more information about this layer visit the TLCPD Website or call (850) 891-6400.

Leon County Boundary Feature Layer (Poly). This feature layer displays the administrative boundary of Leon County, Florida as a polygon. It is maintained by staff at the Leon County Property Appraiser's Office. It is updated on an as needed basis.

This is a feature layer view of parcel center locations from the official Leon County Real Estate Portfolio as maintained by Leon County Real Estate Department (LCRED). This view displays only features that are coded as "Parks and Recreation".

This layer displays parcel locations that are part of the official Leon County land portfolio. The content in this layer is maintained by the Leon County Real Estate Department (LCRED). Locations are displayed by the following categories:1Review (Parcels that are under review)Facilities-LeasedFacilities-OwnedParks and RecreationRowWater ManagementSurplusTax Deeds

The Annual Average Daily Traffic feature class feature class shows the location of traffic breaks and affiliated annual average daily traffic volumes in the state of Florida as derived from event mapping selected traffic characteristics from the FDOT Traffic Characteristics Inventory (TCI).

This feature layer displays completed project locations as tracked by engineering staff at Leon County Public Works. This feature layer is a subset (view) of a parent hosted feature layer that is updated twice daily from a cloud (Azure) hosted SQL database that is administered by Leon County Applications team and maintained by engineering staff at Leon County Public Works.

This point layer is a Leon county-wide dataset used by the Supervisor of Elections Office to location facilities utilized as Polling Locations, Early Voting sites, Branch Sites, storage facilities and Voting Operations Centers. The "Bldg_Type" field specifies which type of facility the location is used for elections in Leon County. Branch Sites are National Voting Registration Application (NVRA) form collections sites only and are monitored by our office remotely. Not all sites are active all the time but sites are tracked for historical and planning purposes. Data users should filter/query the "Active" column for "Yes" to reveal the active sites in the data.Updated 11/8/2011

This layer depicts potential Karst features in Tallahassee and Leon County, Florida. This layer is displayed with 45% transparency by default. This layer was developed using a 2012 LiDAR derived DEM. In 2012, the water table in Leon County was significantly lower that normal allowing for a better surface analysis of potential karst features.What is Karst and why is it important? Karst Waters InstituteKarst is a special type of landscape that is formed by the dissolution of soluble rocks, including limestone and dolomite. Karst regions contain aquifers that are capable of providing large supplies of water.More than 25 percent of the world’s population either lives on or obtains its water from karst aquifers. In the United States, 20 percent of the land surface is karst and 40 percent of the groundwater used for drinking comes from karst aquifers.Karst features in Leon County are most fundamentally occur in depressions in the landscape. By delineating these depressions and analyzing their geomorphic characteristics, karst features can be mapped and classified according to their morphology. The process of identifying, delineating, and classifying karst features in Leon County is described below:Prepare Sink Depth Raster1: Fill sinks in countywide 2012 DEM (This DEM was used because the water table was exceptionally low in 2012.)2: Subtract original DEM from filled DEM to produce output raster of sinks with their depthsPrepare Contour data set to be used for forming Sink Polygons1: Create Z-negative 2-foot contours starting 1.5 feet blow the top of the sink. Smooth resulting contours2: Convert closed contours to polygons3: Merge polygons into multi-part features and explode into individual single-part polygons for each depressionPrepare classified Potential Karst polygons1: Eliminate polygons created from systematic noise in the Lidar-derived DEM2: Review remaining polygons features and assign feature attributes based on geomorphic characteristics. The karst feature types were assigned based on the classification system published by the Florida Springs Nomenclature Committee Report: FGS Special Publication 52

Environmentally sensitive areas mapping NHW (Normal High Water) for waterbodies in Tallahassee and Leon County, Florida. These features are updated with imagery, digital elevation models (Lidar), and field observations on and as needed basis. While some waterbody features like stormwater ponds are not considered environmentally sensative, they have been inincluded in this set of features as reference and because they do participate in the drainage sytems of Tallahassee and Leon County. Methodology: The initial data source was the original waterbody data from the 1988 ESA maps. Additionally, Hydro features Type=215 from 2009, 2012, and 2015 Landbase datasets are added. The newly added waterbodies are examined to determine if they normally hold water by comparing aerial photography. Sources used as reference for the delineation process are the 2009 DEM, 2012 DEM, and the 2015 DEM, Leon County Soil Survey, National Wetlands Inventory (NWI) features which have Water1 attribute classifications of F, G, or H, 1996 Additional data sources include , USGS Digital Ortho Quarter Quadrangle imagery, orthoimagery from 1996, 2009, 2012, and 2015, permit files, and field verification. All polygon features are attributed and assigned a confidence interval. 4=walked boundary; 3=field verified, 2=sources agree, 1=sources disagree. Confidence intervals can change as a result of further investigation. Supplemental Information Waterbody features were obtained through remote sensing and topographic analysis. Site specific study needed to verify the normal high water line.