The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
https://www.tennessee-demographics.com/terms_and_conditionshttps://www.tennessee-demographics.com/terms_and_conditions
A dataset listing Tennessee counties by population for 2024.
This feature layer contains Tennessee county boundaries with Health Region designation and population estimates by county for every year between 1995 and 2015. Also includes county total population for 2000 and 2010 Census.
Geospatial data about Hamilton County, Tennessee Surrounding Counties. Export to CAD, GIS, PDF, CSV and access via API.
This layer is a component of General Basemap.
© MetroGIS
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.
Geospatial data about Hamilton County, Tennessee Municipalities. Export to CAD, GIS, PDF, CSV and access via API.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Tennessee (FIPS 4100) State Plane projection and coordiante system The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a spearate NFIP Metadata Profile): cadastral, geodetic control, govermental unit, transportation, general structures, hydrography (water areas and lines). These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A-16, p. 13)
This layer is a component of Master County Map February 14, 2012.
© Rick Stieg, Technical Committee-ReGIS, US Census, US Post Office
The road network is meant to provide the foundation for all emergency response dispatching. The Tennessee Information for Public Safety (TIPS) street centerlines contain all the necessary attributes to allow for accurate geocoding and spatial representation. Utilizing the alternate street names provided with this feature class will allow for more enhanced geocoding attributes due to the inherent nature of roads carrying various names. See the following URL for a data dictionary: http://gis.tn.gov/tips_docs/TIPS_Specifications_v50.pdf
© GIS Data Resources, Inc. (GDR), Memphis Light, Gas & Water (MLGW), Shelby County Emergency Communications District of Tennessee, Tennessee Office of Information Resources (OIR) This layer is a component of Master County Map February 14, 2012.
The purpose of these maps is to provide a means to estimate the depth to bedrock in Rutherford County, Tennessee. Rutherford County is located entirely within the Central Basin Physiographic Province. The bedrock consists of limestone, argillaceous limestone, mudstone, and limy shale of the Middle Ordovician Chickamauga Group. Depth to bedrock information was obtained from well records contained in the Tennessee Division of Water Resources Water Well Log Tracking System database. The depth to bedrock across the county is depicted using a contour interval of 10 feet.This item is currently not available for individual download, contact Tennessee Geological Survey for more information or see instructions on their ordering page to obtain this resource.
The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.
Geospatial data about Putnam County, Tennessee Parcels. Export to CAD, GIS, PDF, CSV and access via API.
This map depicts Tennessee counties by their corresponding Department of Health Regions. Regional boundaries were determined from a PDF on the internet.
Geospatial data about Hamilton County, Tennessee Rail. Export to CAD, GIS, PDF, CSV and access via API.
This resource is a metadata compilation for three Depth to Bedrock maps for Dickson, Rutherford, and Williamson counties, Tennessee. The compilation was provided by the Tennessee Geological Survey and published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to documents for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list and vocabularies (data valid terms) used to populate the data worksheet. This resource was provided by the Tennessee Geological Survey and made available for distribution through the National Geothermal Data System.
This layer is a component of Master County Map February 14, 2012.
© Rick Stieg ReGIS 901.222.7440
County boundaries in Eastern Tennessee. This layer was originally obtained from the State of Tennessee.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Haywood County, Tennessee. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.