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The population density of College Park, MD was 5,710 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 College Park, MD

  • 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

    Montgomery College Enrollment Data

    data.montgomerycountymd.gov | Last Updated 2023-04-03T23:55:11.000Z

    Montgomery College Student Enrollment Data Update Frequency: Annually

  • 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

    Greenhouse Gas Emissions

    data.montgomerycountymd.gov | Last Updated 2024-09-16T12:01:48.000Z

    The monthly Greenhouse Gas (GHG) emission data represents Montgomery County Facilities and Fleet by month beginning July 2019. Facilities: The Facilities GHG data represents physical structures used by County residents and County staff who provide services for County residents. Examples include recreation, libraries, theater and arts, health and human services, liquor retail, courthouses, general services, maintenance facilities, correctional facilities, police stations, fire stations, volunteer fire stations, garages, parking lots, bus shelters and park & ride locations. Facilities use the following fuel sources: grid electricity, natural gas, propane and diesel fuel. Facilities GHG data DOES NOT include Montgomery County Public Schools, Montgomery College and Montgomery Parks Maryland-National Capital Park and Planning Commission (M-NCPPC). Fleet: The Fleet GHG data represents Montgomery County vehicles used by County staff who provide services for County residents. Examples include mass transit buses, snowplows, liquor trucks, light duty trucks, police cars, fire engines and fire service equipment, etc. Each County vehicle use different fuel sources (i.e. diesel, mobil diesel, compressed natural gas, unleaded and E-85). Fleet GHG data DOES NOT include Montgomery County Public School buses, Montgomery College and Montgomery Parks Maryland-National Capital Park and Planning Commission (M-NCPPC) vehicles. GHG Calculation Method: Facilities and Fleet fuel sources are converted into one common unit of energy- 1 Million British thermal units (MMBtu) which are then used with emissions factors and 100-year global warming potential (GWP) to calculate GHG emissions into one common unit of measure- Metric Tons of CO2 Equivalent (MTCO2e). For more information go to: • How to Calculate GHG emissions at https://www.youtube.com/watch?v=zq5wTjvLqnY&t=186s • Emissions & Generation Resource Integrated Database (eGRID) at https://www.epa.gov/energy/emissions-generation-resource-integrated-database-egrid • Emission Factors for GHG Inventories at https://www.epa.gov/sites/production/files/2018-03/documents/emission-factors_mar_2018_0.pdf Update Frequency : Monthly

  • API

    Maryland Resident Population Per Square Mile: 2010-2020

    opendata.maryland.gov | Last Updated 2024-03-11T18:51:03.000Z

    Resident population density for Maryland and Jurisdictions per square mile from 2010 to 2020. Source: U.S. Bureau of Census

  • API

    Maryland Counties Socioeconomic Characteristics (ACS 5-yr Estimates 2022)

    opendata.maryland.gov | Last Updated 2024-03-06T21:59:38.000Z

    Data for population, gender, race, labor force, educational attainment, income, poverty, households and housing units from the American Community Survey 5-yr Estimates, 2018-2022.

  • API

    MD COVID-19 - Cases per 100K population, statewide

    opendata.maryland.gov | Last Updated 2024-09-17T14:36:31.000Z

    <b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The rate of confirmed COVID-19 cases among Marylanders per 100,000 people statewide. <b>Description</b> The MD COVID-19 cases per 100K population, statewide layer is the rate of confirmed daily COVID-19 cases among Marylanders per 100,000 people statewide. This rate is a 7-day average, calculated using the sum of the CasesByCounty layer and the 2019 estimated county populations (Maryland Department of Planning). <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  • API

    Choose Maryland: Compare States - Quality Of Life

    opendata.maryland.gov | Last Updated 2024-07-09T17:44:55.000Z

    Key quality of life indicators.

  • API

    MD COVID-19 - Cases per 100K population, by jurisdiction

    opendata.maryland.gov | Last Updated 2024-09-17T14:36:53.000Z

    <b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The rate of confirmed COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. <b>Description</b> The MD COVID-19 cases per 100K population, by jurisdiction layer is the rate of confirmed daily COVID-19 cases among Marylanders per 100,000 people in each Maryland jurisdiction. This rate is a 7-day average, calculated using the CasesByCounty layer and the 2019 estimated county populations (Maryland Department of Planning). Any negative value may be attributed to changes in reporting by jurisdiction. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  • API

    MD COVID-19 - Vaccination Percent Age Group Population

    opendata.maryland.gov | Last Updated 2023-04-27T15:26:50.000Z

    Regarding all Vaccination Data The date of Last Update is 4/21/2023. Additionally on 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data <b>Summary</b> The cumulative number of COVID-19 vaccinations percent age group population: 16-17; 18-49; 50-64; 65 Plus. <b>Description</b> COVID-19 - Vaccination Percent Age Group Population data layer is a collection of COVID-19 vaccinations that have been reported each day into ImmuNet. COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the Data) is provided as is without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata. This map is for planning purposes only. MEMA does not guarantee the accuracy of any forecast or predictive elements.