The population density of Rapid City, SD was 1,307 in 2016.

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 Rapid City, SD

  • API

    Infrastructure Density

    dashboard.edmonton.ca | Last Updated 2018-06-07T20:40:20.000Z

    Infrastructure Density looks at the City’s efficiency in providing infrastructure. It is calculated as a ratio of the city’s population divided by the quantity of infrastructure assets. The quantity of infrastructure assets is represented by the total estimated length of the following: • Arterial, collector and local roads (centre-line kilometres) • Alleys (kilometres) • Sidewalks (kilometres) • Sanitary, storm and combined sewers (kilometres)

  • API

    New York City Work and Family Leave Survey (WFLS) 2014

    data.cityofnewyork.us | Last Updated 2018-10-05T20:23:46.000Z

    The New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.

  • API

    Library Systems: FY 2014 Public Libraries Survey (Administrative Entity Data)

    data.imls.gov | Last Updated 2016-08-30T13:28:27.000Z

    Find key information on library systems around the United States.<br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at <a href="https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data">https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data</a>

  • API

    Current Descriptive Data of Municipal Wastewater Treatment Plants

    data.ny.gov | Last Updated 2018-08-07T23:28:50.000Z

    Data containing municipal wastewater treatment plant design other features, with data current through the most recent survey.

  • API

    Public Libraries Survey 1992-2016: Library Systems (Administrative Entities)

    data.imls.gov | Last Updated 2018-04-29T22:50:53.000Z

    Longitudinal file of key variables from the Public Libraries Survey, 1992-2016. These data include imputed values for libraries that did not submit information in certain years. Imputation is a procedure for estimating a value for a specific data item where the response is missing. Download individual annual PLS data files to see imputation flag variables or learn more on the imputation methods used at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data.