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 2023 digest.

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.

Download linkSizeType2019 NLCD2.28 GBapplication/zipThe U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011 and 2016. The 2016 release saw land cover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019.The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.National Land Cover Database (NLCD) 2019 Impervious ProductsNational Land Cover Database (NLCD) 2019 Land Cover Products

The data is extracted from the census web site (https://www.census.gov/) using their API. This is then joined to 2019 U.S. census places, also obtained from the census site. This results in a spatial feature that is suitable for mapping the various methods of census response. The data is updated daily from the census.

Political_CityLimits20101102

This dataset represents the boundaries of residential subdivisions. A subdivision is a named collection of residential lots often with limited and marked points of access. The lots and houses in a subdivision are generally similar in size and value, having been developed duing the same time period and for the same market segment. Subdivisions are important in county operations because they are often used as a locational reference by both the public and county staff. This dataset was initially created from tax assessment records. Landbase_Subdivisions is used to populate a field meant to record a subdivision name in both Trans_AddressPoints and Trans_StreetCenterlines. In both cases, the population of the field is done automatically during the execution of a SQL Server stored procedure as part of the scheduled publication process. The published version of Landbase_Subdivisions is also included in the ArcGIS dynamic map services used in a number of web mapping applications.

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.

This dataset is the most comprehensive and authoritative source of geospatial legal boundary information for the City of Johns Creek, Georgia. It is used to define the extent of all data collection/maintenace by JCGIS as well as by all other City departments in determining ownership of city assets, citizen residency status, etc. The data is updated and corrected by the City of Johns Creek, Georgia IT-GIS as annexations/deannexations occur and, as these updates/corrections are made, they are quality controlled by the Community Development and Legal Departments of the City before changes are put to the City Council for approval. Changes to the city limits are made effective and adopted throughout the city and its GIS only after City Council approval has been obtained.

This data, indicating the supply class for Mohawk River Watershed tax parcels, was collected by Stone Environmental, Inc. for the New York State Department of State with funds provided under Title 11 of the Environmental Protection Fund.These data represent tax parcel boundaries. Data are meant for watershed planning purposes only. Mohawk River Watershed Coalition of Conservation Districts does not take responsibility for the overall content and/or spatial accuracy of the tax parcel data available for download on this page.You should always verify actual map data and information. The limitations and accuracy level of the data should be accounted for before using them in any analyses and their validity cannot be guaranteed.Parcel boundary data was acquired by county offices. Individual County and Town files were compiled to create a seamless coverage of Tax Parcels. Areas of overlap were eliminated by clipping to adjacent county boundaries. Attribute information of interest, property class code, residential development from 1945 to present (year built), sewer service code, and water service codes were obtained from the New York Office of Real Property Services (ORPS, accessed in November 2011). Parcel boundaries and attribute information from ORPS were joined based on the municipality code and print key.Source Information:Albany: Albany County Real Property Tax Services. 2010 Albany County, NY parcel boundaries derived from AutoCAD MAP 3D tax maps; Delaware: Delaware County Planning Department. The license agreement between Delaware County and the Mohawk River Watershed prohibit the viewing of this data through a web mapping application; Fulton: Fulton County. The license agreement between Fulton County and the Mohawk River Watershed prohibit the viewing of this data through a web mapping application;Greene: Greene County; Hamilton: Hamilton County Real Property Tax Services; Herkimer: Herkimer Oneida Counties Comprehensive Planning Program, 2011; Public water and sewer were manually assigned to all City of Utica parcels. Public water and sewer were assigned to parcels within 500 feet of water and sewer lines for the City of Rome parcels.Lewis: Lewis County; The license agreement between Lewis County and the Mohawk River Watershed prohibit the viewing of this data through a web mapping application;Madison: Madison County;Montgomery: Montgomery County;Oneida: Herkimer Oneida Counties Comprehensive Planning Program, 2011;Otsego: Otsego County;Saratoga: Saratoga County, 2011;Schenectady: Schenectady County; Schoharie: Schoharie CountyView Dataset on the Gateway

Land lots as drawn by Fulton County Tax Assessors.

The districts contained in this dataset reflect the 6 districts that will be effective January 01, 2015. The seventh district will be at-large which represents the entire county. This dataset is used as a general reference in mapping and for analystical tasks aimed at determining such things as the demographic make-up of the commission districts.

This dataset contains street centerline information for all roadways (public, private, state-maintained) within the City of Johns Creek, Georgia and any other major roads intersecting roads within the city. Features in this dataset were originally digitized manually from imagery derived during the 2010 North Fulton Imagery and LiDAR project and have been supplemented and/or corrected as needed since that time. The tabular attributes in the dataset adhere to the schema standards developed and described within the Street Centerine and Address Point data model during involvement in the Fulton GIS Collaboration Group. As a result of this process, all other member municipalities involved in the FGCG have adopted the data model (2011).

This dataset represents the boundaries of the Board of Commissioner districts for Fulton County, Georgia circa 2002. Fulton County is governed by a 7-member Board of Commissioners. Five commissioners are elected by geographic district and two are elected countywide, including the chair. These boundaries are effective through 2014.

Data contains estimated costs for maintenance and replacement of stormwater assets located in the City of Johns Creek, GA.Cost modeling was performed in 2020 by Lowe Engineering as part of the 2019-2020 Complete Stormwater Assessment Project.

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 2017 digest.

GPS Monument locations throughout Fulton County, GA.

This layer contains the most accurate rivers and streams data available for the City of Johns Creek, GA. Data was derived from floodplain studies and integrated with "blue line" data for the City.

This layer contains HUC-12 watershed delineations used in the City of Johns Creek, GA for stormwater and other hydrology-related tasks.

This data is compiled from the Georgia Department of Public Health COVID-19 Daily Status Report page at: https://dph.georgia.gov/covid-19-daily-status-report. Georgia Department of Public Health (DPH). The GA DPH refreshes their data on this site daily and provides the updates in CSV format in a compressed (zip) file.