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This dataset represents the boundary of each parcel of land in Fulton County recorded for the purpose of aiding in the appraisal of real property and the determination of property tax. A parcel dataset is created each year in association with that year's tax digest. The parcel dataset for any given year is not considered final until the completion of the digest, which generally occurs around mid-year. Until the completion of the digest, the parcel dataset is considered to be a work in progress. Any necessary corrections and omissions may continue to be made even after the completion of the digest. The parcel dataset in its published form incorporates information from the CAMA (computer-aided mass appraisal) database. The CAMA information included with the published dataset is selected based on its value to the typical consumer of the data and includes the parcel identification number, the property address, property owner, owner's mailing address, tax district, assessed and appraised value for land and improvements, the number of livable units, acreage, property class and land use class. The information in this data set represents the completed 2025 digest.
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This dataset represents the base (ground-level) outline, or footprint, of buildings and other man-made structures in Fulton County, Georgia. The original data were produced by digitizing structures from 1988 aerial ortho-photography. Updates to the data are made from various aerial ortho-photography. In 2010, the data table structures was modified to include a number of attributes derived from tax assessment data through a spatial join of structures with tax parcels. The attributes include feature type (residential or commercial), structure form (conventional, ranch, colonial, etc.), number of stories, and the year built. In 2012, updates to features began using building sketch data collected by the Fulton County Tax Assessors. The building sketch data consist of turtle graphics type descriptors defining (in ungeoreferenced space) the ground-level outline of each structure in the County. These descriptors were converted to an ESRI SDE feature class using Python, georeferencing each structure by placing it in the center of its associated tax parcel. Each structure shape was is then manually translated and rotated into position using aerial imagery as a reference. As of May 2014, this update process was still in progress.This dataset is used in large-scale mapping to show the location of individual buildings and other man-made structures and in smaller-scale mapping to show general patterns of development. May also be used to estimate human population for very small areas. Other applications include the computation of impervious surfaces in stormwater studies and the development of 3-D urban models.
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. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.
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This dataset represents the current zoning districts for the unincorporated parts of Fulton County, Georgia. Zoning is a device of land use planning commonly used by local governments. Through zoning, governments can define common permitted uses, building heights, setbacks and similar characteristics based on geographic zones or districts, thereby segregating land uses and building characteristics believed to incompatible.
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The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each zip code in Atlanta, Georgia. It's important to understand that assessed property values can vary greatly and can change yearly.
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The information in this data extract is useful for local governments and agencies in analyzing trends in property sales and values.
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Fulton County property class codes
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This dataset represents elevation contours for Fulton County, Georgia. The topographic contour data were derived from LIDAR data collected jointly in 2006 by Fulton County and the City of Atlanta. The contours are separated at elevation intervals of 2 feet. The data available here for download have been slightly generalized in order to reduce the size of the files and to improve rendering speed when working with the data in GIS or CAD software. Each contour is tagged with an elevation measured in feet above mean sea level.
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The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of property tax rates for each zip code in Atlanta, Georgia. It's important to understand that tax rates can vary greatly and can change yearly.
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This dataset represents the boundary of each parcel of land in Fulton County recorded for the purpose of aiding in the appraisal of real property and the determination of property tax. A parcel dataset is created each year in association with that year's tax digest. The parcel dataset for any given year is not considered final until the completion of the digest, which generally occurs around mid-year. Until the completion of the digest, the parcel dataset is considered to be a work in progress. Any necessary corrections and omissions may continue to be made even after the completion of the digest. The parcel dataset in its published form incorporates information from the CAMA (computer-aided mass appraisal) database. The CAMA information included with the published dataset is selected based on its value to the typical consumer of the data and includes the parcel identification number, the property address, property owner, owner's mailing address, tax district, assessed and appraised value for land and improvements, the number of livable units, acreage, property class and land use class. The information in this data set represents the completed 2021 digest.
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The subdivisions dataset is created from various sources to represent subdivisions within Fulton county.
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The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of assessed property values for each zip code in Riverdale, Georgia. It's important to understand that assessed property values can vary greatly and can change yearly.
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This dataset represents the incorporated limits of the 16 cities in Fulton county, Georgia. In the four cases where the city extends into a neighboring county--Atlanta, College Park, Mountain Park, and Palmetto--only the portions of the city that lies within the county are included. The dataset is updated following the approval of an annexation of unincorporated land by one of the cities.
Geospatial data about Atlanta, Georgia Parcels. Export to CAD, GIS, PDF, CSV and access via API.
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The table below showcases the 10th, 25th, 50th, 75th, and 90th percentiles of property tax rates for each zip code in Riverdale, Georgia. It's important to understand that tax rates can vary greatly and can change yearly.
Geospatial data from Fulton County, Georgia. Export to CAD, GIS, PDF, KML and CSV, and access via API.
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Fulton County tax district codes
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This dataset represents the boundary of each parcel of land in Fulton County recorded for the pupose of aiding in the appraisal of real property and the determination of property tax. A parcel dataset is created each year in association with that year's tax digest. The parcel dataset for any given year is not considered final until the completion of the digest, which generally occurs around mid-year. Until the completion of the digest, the parcel dataset is considered to be a work in progress. Any necessary corrections and omissions may continue to be made even after the completion of the digest. The parcel dataset in its published form incorporates information from the CAMA (computer-aided mass appraisal) database. The CAMA information included with the published dataset is selected based on its value to the typical consumer of the data and includes the parcel identification number, the property address, property owner, owner's mailing address, tax district, assessed and appraised value for land and improvements, the number of livable units, acreage, property class and land use class. The information in this data set represents the completed 2019 digest.
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Land lots as drawn by Fulton County Tax Assessors.
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Address Points have been developed to facilitate tracking residential and commercial locations (down to specific units/suites) as well as other non-building structures where the City has issued permits or tracks assets. The information contained herein encompasses data for all the municipalities within Fulton County.The Fulton County GIS Division maintains the information for Chattahoochee Hills, College Park, East Point, Fairburn, Hapeville, Palmetto, South Fulton, and Union City. The data for Johns Creek, Milton, Alpharetta, Sandy Springs, and Roswell are obtained from the respective cities data portal or REST endpoint and incorporated into this countywide data. For questions or issues concerning these cities, please contact the owner of the respective data directly.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
This dataset represents the boundary of each parcel of land in Fulton County recorded for the purpose of aiding in the appraisal of real property and the determination of property tax. A parcel dataset is created each year in association with that year's tax digest. The parcel dataset for any given year is not considered final until the completion of the digest, which generally occurs around mid-year. Until the completion of the digest, the parcel dataset is considered to be a work in progress. Any necessary corrections and omissions may continue to be made even after the completion of the digest. The parcel dataset in its published form incorporates information from the CAMA (computer-aided mass appraisal) database. The CAMA information included with the published dataset is selected based on its value to the typical consumer of the data and includes the parcel identification number, the property address, property owner, owner's mailing address, tax district, assessed and appraised value for land and improvements, the number of livable units, acreage, property class and land use class. The information in this data set represents the completed 2025 digest.