The population density of Camden, TN was 636 in 2009.
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 -
Geographic and Population Datasets Involving Camden, TN
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Number of Deaths with Rates per 1,000 Population, Tennessee Resident Data 2019
healthdata.tn.gov | Last Updated 2023-06-26T17:24:28.000ZInformation on tabulated counts and crude death rates of Tennessee residents in 2019 by race, ethnicity, and geography in TN.
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Tennessee Statewide Leading Causes of Death by Sex and Age Group 2019
healthdata.tn.gov | Last Updated 2023-07-07T14:35:58.000ZTabulated counts and rates for leading causes of death among several age groups within the year 2019.
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Live Births and General Fertility Rates per 1,000 Females Aged 15-44
healthdata.tn.gov | Last Updated 2023-06-29T20:02:12.000ZTabulated live birth counts and general fertility rates of Tennessee residents within the year 2019.
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Enviro Stats
performance.franklintn.gov | Last Updated 2023-08-22T17:59:55.000ZEnvironmental Statistics from the City of Franklin, TN
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MTA Transit Oriented Development (TOD) Data
opendata.maryland.gov | Last Updated 2024-03-25T15:38:10.000Z*** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. *** This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station. The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station. As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations. You can view an interactive version of this dataset at geodata.md.gov/tod. ** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.
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County Health Rankings 2023
internal.chattadata.org | Last Updated 2024-02-22T19:47:25.000ZData is coming from TN 2023 County Health Rankings public datasets https://www.countyhealthrankings.org/explore-health-rankings/tennessee/data-and-resources