The population count of Bannock County, ID was 85,065 in 2018. The population count of Bonneville County, ID was 112,397 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 Bonneville County, ID or Bannock County, ID

  • 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.

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    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.

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    Iowa Households with Children Under 18 Years by Household Type (ACS 5-Year Estimates)

    mydata.iowa.gov | Last Updated 2023-08-30T17:36:40.000Z

    This dataset contains Iowa households with and without children under 18 years old by household type for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B11005. Household type includes Total Households, Family - All Types, Family - Married Couple, Family - All Single Householders, Family - Male Householder - No Wife Present, Family - Female Householder - No Husband Present, Nonfamily - All Types, Nonfamily - Male Householder, Nonfamily - Female Householder, Total Households w/Minors, and Total Households w/o Minors. A family household is a household maintained by a householder who is in a family. A family group is defined as any two or more people residing together, and related by birth, marriage, or adoption. Householder refers to the person (or one of the people) in whose name the housing unit is owned or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband or the wife.

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    Race Estimates in Colorado

    data.colorado.gov | Last Updated 2024-05-14T11:01:22.000Z

    Population estimates by race, single age, and gender by counties in Colorado from 2010 to 2016 from the Demography Department of the Colorado Department of Local Affairs (DOLA).

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    Driver Licenses and ID Cards Transferred to Washington

    data.wa.gov | Last Updated 2024-04-16T16:39:58.000Z

    This data set shows monthly counts of new Washington State driver licenses and identification cards (ID) where customers presented licenses or IDs from other states or countries. The data is organized by Washington counties where the customers live. It shows where the previous driver licenses or ID cards were issued.

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    CARES Act Equity Distribution Model Inputs

    datacatalog.cookcountyil.gov | Last Updated 2021-02-26T17:36:38.000Z

    This dataset provides inputs to the R model to equitably distribute CARES Act funding to underlying municipalities. Data is as of June 2020. For more information see: https://datacatalog.cookcountyil.gov/stories/s/yf8h-y2mv/

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    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

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    Hospital Inpatient Discharges (SPARCS De-Identified): 2013

    health.data.ny.gov | Last Updated 2019-09-13T19:04:24.000Z

    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.

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    Behavioral Health

    data.countyofriverside.us | Last Updated 2017-06-01T14:50:54.000Z

    This data is recorded in the Riverside University Health Systems-BH electronic health record. The report is an aggregated summary of the unduplicated clients served by RUHS-BH in a Fiscal Year. The data set is a de-indentified extraction of the unduplicated clients served in a Fiscal Year and includes the characteristics of the population including: age; Race/Ethnicity, Gender, Geographic Region of County (Desert, Western, Mid-County); Education (18-59yr olds); Martial Status; and Primary Diagnosis.

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    Hospital Inpatient Discharges (SPARCS De-Identified): 2012

    health.data.ny.gov | Last Updated 2019-09-13T16:29:09.000Z

    The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data contains basic record level detail regarding the discharge; however, the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (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.