The population rate of change of Three Points, AZ was 1.81% in 2016.

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 Three Points, AZ

  • API

    Homeless Services Program Demographics

    citydata.mesaaz.gov | Last Updated 2024-10-04T05:42:03.000Z

    Information about individuals experiencing homelessness and receiving services through Maricopa Regional Continuum of Care Coordinated Entry Points managed by Maricopa Association of Governments (MAG). See Reporting Interval and Report Date columns for more information about the date range covered. Information about "Mesa residents only" defined by value "client" in Demographic Audience field. Information about all individuals (Mesa resident and non-resident) receiving services from a Mesa-based provider defined by value "provider" in the Demographic Audience field. Data is collected by the Homeless Management Information System Arizona (HMIS AZ). See also https://community.solari-inc.org/homeless-management-information-system/

  • API

    2010 Census/ACS Basic Block Group Data

    data.kcmo.org | Last Updated 2021-11-12T14:15:42.000Z

    basic characteristics of people and housing for individual 2010 census block groups

  • API

    Demographics For Unincorporated Areas In San Mateo County

    datahub.smcgov.org | Last Updated 2018-10-25T21:45:46.000Z

    Demographics, including median income, total population, race, ethnicity, and age for unincorporated areas in San Mateo County. This data comes from the 2012 American Community Survey 5 year estimates DP03 and DP05 files. They Sky Londa area is located within two Census Tracts. The data for Sky Londa is the sum of both of those Census Tracts. Users of this data should take this into account when using data for Sky Londa.

  • API

    Labor Force Demographic Characteristics by Commuting Mode Split: 2012 - 2016

    data.cambridgema.gov | Last Updated 2024-05-06T21:33:09.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Labor Force by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time leaving home, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Labor Force consist of all persons who live in Cambridge who work or are actively seeking employment. For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf

  • API

    Workforce Demographic Characteristics by Commuting Mode Split : 2012 - 2016

    data.cambridgema.gov | Last Updated 2024-05-06T21:39:43.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Workforce by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time arriving at work, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Workforce consist of all persons who work in Cambridge, regardless of home location. For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf

  • API

    Population Health Measures: Age-Adjusted Mortality Rates

    data.montgomerycountymd.gov | Last Updated 2023-04-03T23:57:01.000Z

    Age-adjustment mortality rates are rates of deaths that are computed using a statistical method to create a metric based on the true death rate so that it can be compared over time for a single population (i.e. comparing 2006-2008 to 2010-2012), as well as enable comparisons across different populations with possibly different age distributions in their populations (i.e. comparing Hispanic residents to Asian residents). Age adjustment methods applied to Montgomery County rates are consistent with US Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS) as well as Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). PHS Planning and Epidemiology receives an annual data file of Montgomery County resident deaths registered with Maryland Department of Health and Mental Hygiene’s Vital Statistics Administration (DHMH VSA). Using SAS analytic software, MCDHHS standardizes, aggregates, and calculates age-adjusted rates for each of the leading causes of death category consistent with state and national methods and by subgroups based on age, gender, race, and ethnicity combinations. Data are released in compliance with Data Use Agreements between DHMH VSA and MCDHHS. This dataset will be updated Annually.

  • API

    Hospital Inpatient Discharges (SPARCS De-Identified): 2014

    health.data.ny.gov | Last Updated 2019-09-13T16:31:56.000Z

    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

    Norfolk 2020 American Community Survey Five-Year Estimates

    data.norfolk.gov | Last Updated 2022-06-08T18:43:17.000Z

    This dataset contains the American Community Survey (ACS) five-year estimates for Norfolk, Virginia. According to the United States Census Bureau, the ACS is the premier source for detailed population and housing information about communities and the nation. Every year, the Census Bureau conducts a survey and creates estimates for demographic categories such as income, employment, poverty, race, ethnicity, housing, age, gender, internet access, vehicle access, and other topics. For census tracts, 5-year estimates are generated and released to the public. This dataset includes five-year estimates released in 2020 for census tracts in Norfolk, VA and will be updated annually with each new release of five-year estimates.

  • API

    Utah Census Tract Boundaries from AGRC

    opendata.utah.gov | Last Updated 2020-03-30T17:19:45.000Z

    This data package contains demographic information collected by the Census Bureau in 2010 and 2000. Demographic population includes population counts, household counts, ethnicity counts, etc. Below, the U.S. Census Bureau Data is the data in the format released by the Census Bureau, with just a few modifications to make the data more user friendly. The Populated Block Areas 2010 Approximation and Populated Place Points 2010 Approximation are datasets derived by AGRC from 2010 Census data.

  • API

    2013-2017 American Community Survey Detailed Census Tract Data

    data.kcmo.org | Last Updated 2023-03-24T19:40:40.000Z

    DETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2013-2017 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2013-2017 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.