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The land area of Hardin County, KY was 623 in 2018. The land area of Montgomery County, TN was 539 in 2018. The land area of Sumner County, TN was 529 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Area Datasets Involving Montgomery County, TN or Sumner County, TN or Hardin County, KY

  • API

    Hamilton County Health Department COVID-19 Data

    internal.chattadata.org | Last Updated 2024-02-22T19:39:27.000Z

    Updated daily from the Hamilton County Health Department. Data downloaded from Houser, Jesse A. “Hamilton County, Tennessee COVID-19 Dataset.” COVID-19 in Hamilton County, TN, 2020, sites.google.com/view/hamiltoncounty-tn-covid19/data

  • API

    TN Counties COVID-19 Vaccinations

    internal.chattadata.org | Last Updated 2024-06-26T02:39:37.000Z

    Data pulled from THD website https://www.tn.gov/health/cedep/ncov/data/downloadable-datasets.html

  • API

    Tennessee Statewide Leading Causes of Death by Sex and Age Group 2019

    healthdata.tn.gov | Last Updated 2023-07-07T14:35:58.000Z

    Tabulated counts and rates for leading causes of death among several age groups within the year 2019.

  • API

    Number of Deaths with Rates per 1,000 Population, Tennessee Resident Data 2019

    healthdata.tn.gov | Last Updated 2023-06-26T17:24:28.000Z

    Information on tabulated counts and crude death rates of Tennessee residents in 2019 by race, ethnicity, and geography in TN.

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    Live Births and General Fertility Rates per 1,000 Females Aged 15-44

    healthdata.tn.gov | Last Updated 2023-06-29T20:02:12.000Z

    Tabulated live birth counts and general fertility rates of Tennessee residents within the year 2019.

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    TN Child Care

    internal.chattadata.org | Last Updated 2024-02-22T19:39:34.000Z

    This map shows child care agencies operating in the Greater Chattanooga area. This map focuses on the location of the agency, program certification status for the facility, and children age acceptance.

  • API

    Land Use_data

    opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000Z

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.

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    County Health Rankings 2023

    internal.chattadata.org | Last Updated 2024-02-22T19:47:25.000Z

    Data is coming from TN 2023 County Health Rankings public datasets https://www.countyhealthrankings.org/explore-health-rankings/tennessee/data-and-resources