Empowered by Tyler Technologies
Refine Results

The population density of Columbia County, GA was 508 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 Columbia County, GA

  • API

    WAOFM - Census - Population and Housing, 2000 and 2010

    data.wa.gov | Last Updated 2021-09-01T17:20:31.000Z

    Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.

  • API

    Deer Tick Surveillance: Adults (Oct to Dec) excluding Powassan virus: Beginning 2008

    health.data.ny.gov | Last Updated 2024-05-01T18:05:44.000Z

    This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

  • API

    Deer Tick Surveillance: Nymphs (May to Sept) excluding Powassan virus: Beginning 2008

    health.data.ny.gov | Last Updated 2024-05-01T18:07:53.000Z

    This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen. Nymph deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide nymph tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

  • API

    Choose Maryland: Compare Counties - Demographics

    opendata.maryland.gov | Last Updated 2024-07-09T17:43:22.000Z

    Population profile - total, rate of change, age, and density.

  • API

    WAOFM - Census - Population Density by County by Decade, 1900 to 2020

    data.wa.gov | Last Updated 2023-07-06T16:48:57.000Z

    Washington state population density by county by decade 1900 to 2020.

  • API

    COVID-19 Deaths by Demographic Grouping

    sharefulton.fultoncountyga.gov | Last Updated 2023-01-30T16:59:04.000Z

    This dataset consists of death rates from COVID-19 among Fulton County residents segmented by race, age and sex. The dataset is derived from data provided by the Georgia Department of Public Health at https://ga-covid19.ondemand.sas.com.

  • API

    BRFSS Prevalence and Trends Data: Tobacco Use - Four Level Smoking Data for 1995-2010

    data.cdc.gov | Last Updated 2015-08-27T22:44:45.000Z

    Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].

  • API

    Crime Rate By Jurisdiction

    performance.fultoncountyga.gov | Last Updated 2018-01-12T02:27:00.000Z

    Violent crime rate for each jurisdiction in Fulton County, Georgia (2014 and 2015)

  • API

    Deer Tick Surveillance: Nymphs (May to Sept) Powassan Virus Only: Beginning 2009

    health.data.ny.gov | Last Updated 2024-05-01T18:00:16.000Z

    This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen. Nymph deer ticks are tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide nymph tick minimum infection rates at a precise location and at one point in time. Both measures, tick population density and minimum infection percentages, can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

  • API

    COVID-19 Aggregate Cases NO FURTHER UPDATES

    data.pa.gov | Last Updated 2024-05-08T14:25:45.000Z

    Weekly updates have finished with the June 28th update. Some information may be found here: https://covid.cdc.gov/covid-data-tracker/#maps_new-admissions-rate-state <br> This dataset contains aggregate COVID-19 case counts and rates by date of first report for all counties in Pennsylvania and for the state as a whole. Counts include both confirmed and probable cases as defined by the Council of State and Territorial Epidemiologists (CSTE). At present, a person is counted as a case only once. Note that case counts by date of report are influenced by a variety of factors, including but not limited to testing availability, test ordering patterns (such as day of week patterns), labs reporting backlogged test results, and mass screenings in nursing homes, workplaces, schools, etc. Case reports received without a patient address are assigned to the county of the ordering provider or facility based on provider zip code. Cases reported with a residential address that does not match to a known postal address per the commonwealth geocoding service are assigned to a county based on the zip code of residence. Many zip codes cross county boundaries so there is some degree of misclassification of county. All counts may change on a daily basis due to reassignment of jurisdiction, removal of duplicate case reports, correction of errors, and other daily data cleaning activities. Downloaded data represents the best information available as of the previous day. <br> Data will be updated between 11:30 am to 1:30pm each Wednesday.