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TwitterThis 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.
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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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TwitterThis dataset represents the centerline of all streets, roads and highways in Fulton County. Each record represents a street segment between at-grade intersections. Attributes include street name elements, odd and even address ranges, feature type, zip code (left and right) and highway number.The municipalities of Chattahoochee Hills, College Park, East Point, Fairburn, Hapeville, Palmetto, South Fulton, Union City, as well as the Fulton Industrial District (FID) are actively maintained by the Fulton County GIS Division. 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.
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Fulton County tax district codes
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Land lots as drawn by Fulton County Tax Assessors.
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TwitterThis 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.
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Future Land Use by parcel for all areas within the City of Johns Creek, GA as delineated for and by the 2018 Comprehensive Plan.
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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.
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TwitterThis 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.
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TwitterThis data, indicating the sewer 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. 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
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TwitterFrom the site: "This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a 7.5 minute quadrangle format and include a detailed, field verified inventory of soils and nonsoil areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties."
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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.
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TwitterThis dataset represent the boundaries of Fulton County voting precincts. Voting precincts are districts created for the purpose of assigning voters to polling places based on their place of residence. The boundaries are defined by the Fulton County Department of Registration and Elections. The dataset includes all precincts in Fulton County but also includes precincts for the part of the city of Atlanta that lies in DeKalb County because the Fulton County Department of Registration and Elections conducts elections for the the city of Atlanta even though the precincts in DeKalb County are defined by DeKalb County. Precincts are identified by alphanumeric designators which typically begin with a two-letter prefix indicating the city in which they lie. For example, precinct JS09 lies in the city of Johns Creek. The only exception to this convention is assignment of designators for precincts in the city of Atlanta, which begin with a two digit number indicating the council district in which they lie followed by a letter or letter and number combination to make each designator unique. The designator is recorded in the dataset in the field VoterDist. Changes to precinct boundaries can be triggered by a number of events including the redistricting that occurs as part of the reapportionment process following the decennial census, annexation of land by municipalities, and requests from municipalities to change the number of precincts with their boundaries. Any change to a precinct boundary must go through a formal process that begins with the documentation of the proposed change, approval by the County Board of Registration and Elections and approval by the County Board of Commissioners.
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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.
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TwitterThis 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.