Empowered by Tyler Technologies
Refine Results

The population density of Coos Bay, OR was 1,516 in 2015.

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 Coos Bay, OR

  • API

    Transient Lodging Tax Revenues

    data.orcities.org | Last Updated 2018-01-10T16:43:35.000Z

    Transient Lodging Tax Revenues (in thousands of dollars) provided by Dean Runyan Associates

  • API

    Utility & Franchise Fees 2014-2015

    data.orcities.org | Last Updated 2016-08-08T22:59:28.000Z

    Franchise agreements are a legal arrangement between a city and another entity for use of the city’s public right-of-way. For using the right-of-way (abbreviated ROW) a company, organization, or other government body must pay a franchise fee or privilege tax. These agreements ensure that cities are compensated for special use of public services. This also prevents city residents from subsidizing extraordinary use of public space. These agreements often take the form of contracts or city ordinances which outline the rate charged, term and conditions, and any extra services provided by either party. The League asks cities their rates and rate calculations for telecommunication and cable franchises in the recent past. Questions are also posed for other franchises, such as electricity, water, garbage, and franchises to other governments. This information is crucial to understanding revenue sources in Oregon cities and to forecasting revenue trends into the future.

  • API

    ACFR Data for 2014-15

    data.orcities.org | Last Updated 2021-10-28T23:37:01.000Z

    The Annual Financial Report (ACFR) is required by law to be completed every fiscal year by Oregon cities and submitted to the Oregon Department of State.

  • API

    PERS Rates 2015-2019

    data.orcities.org | Last Updated 2016-10-07T17:22:16.000Z

    PERS Rates for 2015-2019 including pooled and independent rates for cities and counties.

  • API

    Police Departments and Total Employees

    data.orcities.org | Last Updated 2019-04-23T03:41:16.000Z

    List of Cities with Police Departments and respective FTE as of 2013.

  • API

    Legislators By City

    data.orcities.org | Last Updated 2019-04-23T03:41:58.000Z

    Oregon Representatives and Senators by City for the 2015-2017 Legislative Session

  • API

    City Infrastructure Needs

    data.orcities.org | Last Updated 2016-08-08T23:16:13.000Z

    Information provided by respondent cities through the 2016 LOC Infrastructure Survey. Data is and aggregation of capital projects needs for the next 20 years.

  • API

    Historical Populations 2000-2016

    data.orcities.org | Last Updated 2017-02-06T20:50:54.000Z

    Population Data from Portland State University Center for Population Research

  • API

    Local Government Elections Data 1997-2017

    data.orcities.org | Last Updated 2018-01-03T22:50:32.000Z

    This dataset lists ballot measures of city, county, and district governments from 1997 to present. DISCLAIMER: While every effort is made to provide accurate and complete information; accuracy, reliability, or completeness of the furnished data is not guaranteed in any way. For detailed information on any one ballot measure, please contact Oregon Department of State Elections Division. Fail* Denotes the measure passed simple majority, but failed to meet the double majority requirement.

  • API

    Vital Signs: Population – by tract (2022)

    data.bayareametro.gov | Last Updated 2023-06-20T23:39:40.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED February 2023 DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region. DATA SOURCE California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Table E-6: County Population Estimates (1960-1970) Table E-4: Population Estimates for Counties and State (1970-2021) Table E-8: Historical Population and Housing Estimates (1990-2010) Table E-5: Population and Housing Estimates (2010-2021) Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs Computed using 2020 US Census TIGER boundaries U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University 1970-2020 U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/ 2011-2021 Form B01003 Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022. Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator. Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs). The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and