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The population density of Commerce, GA was 555 in 2010.

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 Commerce, GA

  • 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

    Choose Maryland: Compare States - Demographics

    opendata.maryland.gov | Last Updated 2024-07-09T17:45:48.000Z

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

  • 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

    Mobility Trends County Modeling Dataset

    datahub.transportation.gov | Last Updated 2024-08-08T20:59:05.000Z

    The Mobility Trends County Modeling dataset consists of the accumulation of the three performance metrics: VMT, GHG, and TMS, alongside each of the trend indicators: GDP, Population, Lane Miles, Unemployment Rate, Charging Stations, Telework, Unlinked Passenger Trips, E-commerce, Population Density, and on-demand service revenue. The goal of Mobility Trends and Future Demand research project is to enhance FHWA’s empirical understanding of the impact of trends on travel behavior and transportation demand, and ultimately system performance and the user experience. At the core of this research project is the identification and analysis of trends to support a variety of modeling, forecasting, and ‘what if’ projections to support policy and decision making.

  • API

    DPH Covid Vaccinations: Persons vaccinated by race and county

    sharefulton.fultoncountyga.gov | Last Updated 2024-10-05T11:37:02.000Z

    Persons vaccinated by race and county For a detailed description of the data, see "About Data" on the DPH Vaccine Distribution Dashboard: https://experience.arcgis.com/experience/3d8eea39f5c1443db1743a4cb8948a9c

  • API

    Mobility Trends What if Analysis

    datahub.transportation.gov | Last Updated 2024-07-17T16:14:52.000Z

    This dataset allows the Mobility Trends team to understand and interpret transportation trends and performance metrics based off the forecasts. These interpretations include VMT Forecasts, Vehicle Types/Fuel use Forecasts, and Emissions forecasts with various Geographic breakouts.

  • API

    ZONING_PLY

    data.lacity.org | Last Updated 2024-04-10T19:09:31.000Z

    Zoning is a tool used by the City of Los Angeles to designate, regulate and restrict the location and use of buildings, structures and land, for agriculture, residence, commerce, trade, industry or other purposes; to regulate and limit the height, number of stories, and size of buildings and other structures hereafter erected or altered to regulate and determine the size of yards and other open spaces and to regulate and limit the density of population; and for said purposes to divide the City into zones of such number, shape and area as may be deemed best suited to carry out these regulations and provide for their enforcement. Further, such regulations are deemed necessary in order to encourage the most appropriate use of land; to conserve and stabilize the value of property; to provide adequate open spaces for light and air, and to prevent and fight fires; to prevent undue concentration of population; to lessen congestion on streets; to facilitate adequate provisions for community utilities and facilities such as transportation, water, sewerage, schools, parks and other public requirements; and to promote health, safety, and the general welfare all in accordance with the comprehensive plan.

  • API

    HE.C.2 Peer Cities Table V3

    datahub.austintexas.gov | Last Updated 2024-05-24T16:51:14.000Z

    PARD’s Long Range Plan for Land, Facilities and Programs, Our Parks, Our Future (adopted November 2019) compared Austin’s park system to five peer cities: Atlanta, GA, Dallas, TX, Portland, OR, San Antonio, TX, and San Diego, CA. The peer cities were selected based on characteristics such as population, size, density, and governance type. Portland and San Diego were selected as aspirational cities known for their park systems. Note that the table below presents each scoring area’s 1 to 100 index, where 100 is the highest possible score.

  • API

    Internet Master Plan: Adoption and Infrastructure Data by Neighborhood

    data.cityofnewyork.us | Last Updated 2022-09-23T19:23:10.000Z

    Key indicators of broadband adoption, service and infrastructure in New York City.</p> <b>Data Limitations:</b> Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.