The population count of Depoe Bay, OR was 1,772 in 2018.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Depoe Bay, OR

  • API

    NYCHA Resident Data Book Summary

    data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000Z

    Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

  • API

    Projections 2040 by Jurisdiction

    data.bayareametro.gov | Last Updated 2019-05-01T23:00:49.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for jurisdictions in the nine county San Francisco Bay Area region.

  • 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

    City financial data

    data.orcities.org | Last Updated 2016-08-08T22:38:58.000Z

    Dataset contains selected budget information from 2006 to 2014 for 50 cities. The data includes: property tax revenue, public safety expenditure, governmental fund revenue and expenditure and general fund revenue and expenditure.

  • API

    Economic Demographics

    data.orcities.org | Last Updated 2017-01-09T17:17:43.000Z

    Data from the American Communities Survey 2014. This data includes information on household income, city industries composition, and class of workers.

  • API

    Final Projections 2017 By Jurisdiction

    data.bayareametro.gov | Last Updated 2018-09-07T19:52:32.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for jurisdictions in the nine county San Francisco Bay Area region.

  • API

    Draft Projections 2017 by Priority Development Area

    data.bayareametro.gov | Last Updated 2017-12-29T19:52:28.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for Priority Development Areas (PDAs) in the nine county San Francisco Bay Area region.

  • API

    Draft Projections 2017 by Subregional Study Areas

    data.bayareametro.gov | Last Updated 2018-01-10T04:21:51.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for Subregional Study Areas (Sphere's of Influence of Jurisdictions) in the nine county San Francisco Bay Area region.

  • API

    Bronx Zip Population and Density

    bronx.lehman.cuny.edu | Last Updated 2012-10-21T14:06:17.000Z

    2010 Census Data on population, pop density, age and ethnicity per zip code

  • API

    Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

    data.cdc.gov | Last Updated 2024-10-04T14:06:38.000Z

    The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,