The population count of Independence, MO was 117,369 in 2017.

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 Independence, MO

  • API

    NYCHA Resident Data Book Summary

    data.cityofnewyork.us | Last Updated 2019-07-19T21:02:11.000Z

    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

    Population by Neighborhood

    data.kcmo.org | Last Updated 2016-02-22T16:45:12.000Z

    This dataset was provided by the City Planning and Development Department and contains population figures for each Kansas City, Missouri Neighborhood according to the 2010 Census.

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    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

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    Census Demographics (2010-2014)

    data.baltimorecity.gov | Last Updated 2017-02-06T04:55:23.000Z

    Census data are frequently used throughout Vital Signs as denominators for normalizing many other indicators and rates. The socioeconomic and demographic indicators are grouped into the following categories: population, race/ethnicity, age, households, and income and poverty.

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    Census Demographics 2010

    data.baltimorecity.gov | Last Updated 2017-02-06T04:44:33.000Z

    BNIA-JFI analyzed data from the Census to provide greater understandingof the socioeconomic and demographic characteristics of the residents of the City and its neighborhoods . BNIA-JFI also used this data as denominators for many of the Vital Signs indicators allowing for data to be normalized and rates to be computed. Census data analyzed by BNIA-JFI is grouped into the following categories: population, race and ethnicity; households and families; and income.

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    City of Melbourne Population Forecasts 2016 to 2041 - Household Types

    data.melbourne.vic.gov.au | Last Updated 2019-04-30T04:52:36.000Z

    This dataset provides the latest population forecasts (prepared April 2019) for household types, including families, couples without children, lone person and group households. Forecasts are provided for single years from 2016 to 2041 for our municipality as well as thirteen small areas according to our Census of Land Use and Employment (also known as CLUE small areas). <p>The forecasts are prepared by an independent, specialist agency (.id). Further information can be found on our <a href="https://www.melbourne.vic.gov.au/about-melbourne/research-and-statistics/city-population/Pages/population-forecasts.aspx">Population Forecasts</a> page. <a href="https://data.melbourne.vic.gov.au/browse?q=population+forecast"> <p>Related datasets</a> are also available on Open Data and include dwelling and household forecasts and population forecasts by age and gender.

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    Richmond, California Census Data

    opendata.ci.richmond.ca.us | Last Updated 2017-01-25T20:58:31.000Z

    Census data from Bay Area Census and US Census.

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    KCMO 2013 ACS 5-year estimates Household Status Census Data

    data.kcmo.org | Last Updated 2015-06-15T17:18:09.000Z

    2013 ACS 5-year estimates for Household Status organized by census tract. Included in this data are all census tracts that are included in the boundaries of KCMO, even if no KCMO citizens lived in that tract when the data was gathered. All data was gathered on the U.S. Census Bureau's website: http://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t# Table ID: B11016

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    City of Melbourne Population Forecasts 2016 to 2041 - Dwellings and Households

    data.melbourne.vic.gov.au | Last Updated 2019-04-30T04:51:31.000Z

    This dataset provides the latest population forecasts (prepared April 2019) for private dwellings and households, including the number of vacant private dwellings and vacancy rates, persons in private and non private dwellings and average household size. Forecasts are provided for single years from 2016 to 2041 for our municipality as well as thirteen small areas according to our Census of Land Use and Employment (also known as CLUE small areas). <p>The forecasts are prepared by an independent, specialist agency (.id). Further information can be found on our <a href="https://www.melbourne.vic.gov.au/about-melbourne/research-and-statistics/city-population/Pages/population-forecasts.aspx">Population Forecasts</a> page. <a href="https://data.melbourne.vic.gov.au/browse?q=population+forecast"> <p>Related datasets</a> are also available on Open Data and include household type forecasts and population forecasts by age and gender.

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    Concentrations of Protected Classes from Analysis of Impediments

    data.austintexas.gov | Last Updated 2019-07-29T17:26:04.000Z

    A new component of fair housing studies is an analysis of the opportunities residents are afforded in “racially or ethnically concentrated areas of poverty,” also called RCAPs or ECAPs. An RCAP or ECAP is a neighborhood with significant concentrations of extreme poverty and minority populations. HUD’s definition of an RCAP/ECAP is: • A Census tract that has a non‐white population of 50 percent or more AND a poverty rate of 40 percent or more; OR • A Census tract that has a non‐white population of 50 percent or more AND the poverty rate is three times the average tract poverty rate for the metro/micro area, whichever is lower. Why the 40 percent threshold? The RCAP/ECAP definition is not meant to suggest that a slightly‐lower‐than‐40 percent poverty rate is ideal or acceptable. The threshold was borne out of research that concluded a 40 percent poverty rate was the point at which a neighborhood became significantly socially and economically challenged. Conversely, research has shown that areas with up to 14 percent of poverty have no noticeable effect on community opportunity. (See Section II in City of Austin’s 2015 Analysis of Impediments to Fair Housing Choice: http://www.austintexas.gov/sites/default/files/files/NHCD/Reports_Publications/1Analysis_Impediments_for_web.pdf) This dataset provides socioeconomic data on protected classes from the 2008-2012 American Community Survey on census tracts in Austin’s city limits and designates which of those tracts are considered RCAPs or ECAPs based on these socioeconomic characteristics. A map of the census tracts designated as RCAPs or ECAPs is attached to this dataset and downloadable as a pdf (see below).