The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

These road centerlines represent official roadways in Alachua County, FL. The projection of the data is NAD_1983_StatePlane_Florida_North_FIPS_0903_Feet (WKID 2238).

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

Zoning Districts for Alachua County, Fl

The Florida DOR acquires county parcel data from each respective county as part of their annual work flow. DOR merges their tax rolls onto the county data and provides it to Florida DOT as individual county shapefiles.

© Florida Department of Revenue – 2017 This layer is a component of Map & Feature Service of Statewide county parcel data that FDOT recieves annually from DOR. Contact Daniel, 850-410-5468..

Public Schools and School Zones for Alachua County, Fl

Geospatial data about Alachua County, Florida Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Future Land Use Map for Alachua County, Fl

Geospatial data about Alachua County, Florida Roads. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Alachua County, Florida Road Centerlines. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Alachua County, Florida Zip Codes. Export to CAD, GIS, PDF, CSV and access via API.

Land cover and land use in the St. Johns River Water Management District based on 2013-2016 digital orthophotography. This layer is a copy of the 2009 lulc dataset, with updates based on conditions in the 2013-2016 orthophotography. The previous Photointerpretation Key was also revised and updated for this project.Source imagery is county imagery flown primarily by FDOT, at varying dates . The 2014 map used the below imagery:Year Flight Season Counties2013 (Dec 2012 –Mar 2013) Duval2014 (Dec 2013 –Mar 2014) Alachua, Baker, Bradford, Clay, Flagler, Lake, Marion, Nassau, Osceola, Polk, Putnam, St. Johns2015 (Dec 2014 –Mar 2015) Brevard, Indian River, Okeechobee, Seminole, Volusia2016 (Dec 2015 –Mar 2016) OrangeNOTE: Mapping convention made for Marion/Alachua counties. Imagery Dates: Alachua - December 2013 - January 2014; Marion - March 2014 -April 2014. Implications for land cover mapping: We experienced a wetter than average winter, and significant rain fell between Alachua and Marion flight dates. Orange Lake looked very different in areas where the two county imagery datasets overlapped (higher water levels in Marion imagery). We decided on the following mapping convention: always map according to the Marion imagery where it exists.The 2014 data is mapped to the extent of the previous update in 2009 as far as available imagery allowed. There is data to the east of Nassau County (outside our District and Water Basin boundaries) where no imagery was available. The 2014 data extends beyond its previous limit in a few small areas to fulfill an internal staff request.It continues the historical practice of mapping the portion of the Ocklawaha River Basin in Polk County that was transferred to the Southwest Florida Water Management District.NOTE: June 2018 Changes to Dataset:The 2014 dataset was modified in June 2018 based on results from an Accuracy Assessment, These edits changed net acreage counts for some classes as follows:ACREAGE INCREASES: Class 3300 +2.77 ac / Class 4200 +5.12 ac / Class 5200 +7,254.66 ac / Class 5300 +174,082.38 ac / Class 8350 +122.27 acACREAGE DECREASES: Class 1750 -16.64 ac / Class 2110 -100.00 ac / Class 4110 -3.63 ac / Class 4210 -2.00 ac / Class 5100 -181,337.04 / Class 7400 -7.90 ac

1 ft ortho rectified imagery for the counties flown in the October 2007 - April 2008 flight acquistion cycle. This imagery layer was rebuilt in ArcGIS 10.2.2 as a raster mosaic dataset using MrSID imagery for the data source and published in ArcGIS Server 10.2.2 as a Image Service. This dataset has been published as a ArcGIS Server Image Service for easier maintenance and improved performance. Counties covered in this dataset are: Nassau, Baker, Duval, Clay, St. Johns, Putnam, Alachua, Flagler, Levy, Marion, Lake, Orange, Osceola, Polk, Hendry, Charlotte, and Lee. Please contact GIS.Librarian@FloridaDEP.gov for more information.