The population density of Round Lake, IL was 3,383 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 Round Lake, IL

  • API

    WAOFM - Census - Population Density by County by Decade, 1900 to 2010

    data.wa.gov | Last Updated 2016-08-09T16:28:24.000Z

    Washington state population density by county by decade 1900 to 2010.

  • API

    WAOFM - April 1 - Population Density by County, 2000 to Present

    data.wa.gov | Last Updated 2020-06-29T17:58:08.000Z

    Intercensal and postcensal estimates of population density by county 1990 to present.

  • API

    Daily COVID-19 Cases by Zip Code

    citydata.mesaaz.gov | Last Updated 2021-06-21T21:00:10.000Z

    Information sourced from Arizona Department of Health of confirmed COVID-19 cases by zip code and displayed here to better visualize the data. Direct REST Endpoint URL in Source Link field below. Statewide data available at https://www.azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/covid-19/dashboards/index.php.

  • API

    PFAS Statewide Sampling Initiative for Public Water Supplies Monthly Data

    data.michigan.gov | Last Updated 2021-04-22T18:21:54.000Z

    In April 2019, EGLE began monthly sampling of Public Water Supplies sampled during Phase I of the Statewide PFAS Sampling Survey which utilize surface water as a source. This sampling will be done for six months and will help determine if there are changes in PFAS levels for these 65 supplies over time, due to their use of surface water as a source. In addition to PFAS testing for these 65 supplies, EGLE will collect and analyze samples for select cyanotoxins related to harmful algal blooms (HABs), to investigate whether these surface water sources are being affected. This testing program is being conducted by the EGLE Drinking Water and Environmental Health Division Community Water Supply Section. The results of this initiative will be provided by that group, once results become available. Visit Michigan.gov/PFASresponse for more information. For questions on this dataset, please contact EGLE-PFAS-DrinkingWater@Michigan.gov

  • API

    Long-term Industry Projections

    data.ny.gov | Last Updated 2021-03-01T17:35:51.000Z

    Long-term Industry Projections for a 10 year time horizon are provided for the state and 10 labor market regions to provide individuals and organizations with an industry outlook.

  • API

    Short-term Industry Projections

    data.ny.gov | Last Updated 2021-03-03T18:35:45.000Z

    Short-term Industry Projections for a 2 year time horizon are provided for the state and 10 labor market regions to provide individuals and organizations with an industry outlook.

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2012

    health.data.ny.gov | Last Updated 2019-09-13T16:29:09.000Z

    The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data contains basic record level detail regarding the discharge; however, the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2011

    health.data.ny.gov | Last Updated 2019-09-13T16:27:54.000Z

    The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges, and costs.This data contains basic record level detail regarding the discharge; however the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2013

    health.data.ny.gov | Last Updated 2019-09-13T19:04:24.000Z

    The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2010

    health.data.ny.gov | Last Updated 2019-09-13T16:19:10.000Z

    The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges, and costs. This data contains basic record level detail regarding the discharge; however the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.