Empowered by Tyler Technologies
Refine Results

The population density of Cross Plains, TN was 208 in 2018.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

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 Population Datasets Involving Cross Plains, TN

  • 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.

  • 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

    Enviro Stats

    performance.franklintn.gov | Last Updated 2023-08-22T17:59:55.000Z

    Environmental Statistics from the City of Franklin, TN

  • API

    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.

  • API

    Monthly Modal Time Series

    datahub.transportation.gov | Last Updated 2024-10-04T18:38:28.000Z

    Modal Service data and Safety & Security (S&S) public transit time series data delineated by transit/agency/mode/year/month. Includes all Full Reporters--transit agencies operating modes with more than 30 vehicles in maximum service--to the National Transit Database (NTD). This dataset will be updated monthly. The S&S statistics provided include both Major and Non-Major Events where applicable. This is the only NTD publication in which these totals are combined without any transformation for historical continuity.

  • API

    Strategic Measure_EOA.C.6 Number and percentage of residents that are living in an area considered to be a Complete Community

    datahub.austintexas.gov | Last Updated 2024-06-03T17:02:20.000Z

    This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. A resident in a complete community is someone residing in an area that is within a 20 minute walk to multiple essential destinations. Calculation method: This study measured the distance and time it takes for a pedestrian to reach five essential destination, or "indicators," from any point across the city using the existing network of sidewalks and crossings within a 20-minute walk time. Using GIS software, this evaluation resulted in a rasterized overlay of geographic outlines of “walksheds” surrounding each indicator destination. Residential estimates were found using an internal database of residential housing units and applied density assumptions and should not be compared to other demographic datasets. Data was sourced from City of Austin, CapMetro, and Austin ISD. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/rw4g-mrjp

  • API

    Iowa Geographic Names

    mydata.iowa.gov | Last Updated 2024-09-20T22:00:21.000Z

    This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.

  • API

    Utah Census Data Cities 2009-2013

    opendata.utah.gov | Last Updated 2019-02-11T22:36:06.000Z

    Data derived from Population Estimates, American Community Survey, Census of Population and Housing, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits

  • API

    OLAS Population-based Water Stress and Risk Dataset for Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2023-06-15T08:22:16.000Z

    LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”. | https://www.wri.org/data/aqueduct-global-maps-30-data | | https://www.worldpop.org/ | | https://gadm.org/ |

  • API

    Census Tracts 2010 Centroids

    data.bayareametro.gov | Last Updated 2021-11-19T16:27:25.000Z

    Centroid of 2010 census tracts. Provides 2010 census tracts for the San Francisco Bay Region, clipped by the Metropolitan Transportation Commission to remove major coastal and bay water areas. 2010 Census tracts for the San Francisco Bay Region, clipped to remove major coastal and bay water areas. Features were extracted from, and clipped using, California 2018 TIGER/Line shapefiles by the Metropolitan Transportation Commission. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and are reviewed and updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP). The Census Bureau updates census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have a population size between 1,200 and 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. Census Tract Codes and Numbers—Census tract numbers have up to a 4-character basic number and may have an optional 2-character suffix; for example, 1457.02. The census tract numbers (used as names) eliminate any leading zeroes and append a suffix only if required. The 6-character numeric census tract codes, however, include leading zeroes and have an implied decimal point for the suffix. Census tract codes range from 000100 to 998999 and are unique within a county or equivalent area. The Census Bureau assigned a census tract code of 9900 to represent census tracts delineated to cover large bodies of water. In addition, census tract codes in the 9400s represent American Indian Areas and codes in the 9800s represent special land use areas. The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Local participants have an opportunity to review the existing census tracts before each census. If local participants split a census tract, the split parts usually retain the basic number, but receive different suffixes. In a few counties, local participants request major changes to, and renumbering of, the census tracts. Changes to individual census tract boundaries usually do not result in census tract numbering changes. Relationship to Other Geographic Entities—Within the standard census geographic hierarchy, census tracts never cross state or county boundaries, but may cross the boundaries of county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian, Alaska Native, and Native Hawaiian areas.