100+ datasets found
  1. U.S. states health ranking 2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). U.S. states health ranking 2018 [Dataset]. https://www.statista.com/statistics/252057/us-health-ranking-2012/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    This statistic depicts an overall U.S. states health ranking in 2018, according to America's Health Rankings of the United Health Foundation. As of that year, the top state based on health was Hawaii with a score of **** above the national norm.

  2. Health system ranking of states in the United States in 2024

    • thefarmdosupply.com
    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Health system ranking of states in the United States in 2024 [Dataset]. https://www.thefarmdosupply.com/?_=%2Fstatistics%2F1334023%2Fhealth-index-of-states-in-the-us%2F%23RslIny40YoLnaeh9zvmBAV3JXcE%2BYSA%3D
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, across all states in the United States, ********* was ranked first with a health index score of *****, followed by ************ and ************. The health index score was calculated by measuring 42 healthcare metrics relevant to health costs, access, and outcome.

  3. v

    County Health Rankings 2020

    • anrgeodata.vermont.gov
    • covid-hub.gio.georgia.gov
    • +4more
    Updated Apr 24, 2023
    + more versions
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    cf2977oe (2023). County Health Rankings 2020 [Dataset]. https://anrgeodata.vermont.gov/datasets/4fdb2c0e7753484a81e16482dbe2429b
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    Dataset updated
    Apr 24, 2023
    Dataset authored and provided by
    cf2977oe
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Some new features of the 2020 Rankings data compared to previous versions:More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska NativeReliability flags that to flag an estimate as unreliable5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volumeData Processing Notes:Data downloaded March 2020Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

  4. Country

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jun 22, 2020
    + more versions
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    ESRI (2020). Country [Dataset]. https://data.amerigeoss.org/km/dataset/country1
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    html, esri rest, kml, zip, geojson, csvAvailable download formats
    Dataset updated
    Jun 22, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description
    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources.

    Some example measures are:
    • adult smoking
    • physical inactivity
    • flu vaccinations
    • child poverty
    • driving alone to work
    To see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights.

    "By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."

    Some new features of the 2020 Rankings data compared to previous versions:
    • More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska Native
    • Reliability flags that to flag an estimate as unreliable
    • 5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volume

    Data Processing Notes:
    Slight modifications made to the source data are as follows:
    • The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.
    • Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.
    • For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.
    • Fields dropped from analytic data file:
    • Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.
  5. County Health Rankings 2019 - Health Factors

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 20, 2019
    + more versions
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    Esri (2019). County Health Rankings 2019 - Health Factors [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/esri::county-health-rankings-2019-health-factors/about
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    Dataset updated
    Jun 20, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The Rankings are compiled using county-level measures from a variety of national and state data sources. These measures are standardized and combined using scientifically-informed weights. This year, secure and affordable housing is the focus of the County Health Rankings Key Findings Report for 2019. "By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."This feature service contains 2019 County Health Rankings - Health Outcomes data for nation, state, and county levels. This hosted feature layer view was created from the complete 2019 County Health Rankings hosted feature layer, along with an accompanying Health Outcomes view. To see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details.Data Processing Notes:Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "(per 100,000 population)" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

  6. National Physical Inactivity

    • kaggle.com
    Updated Feb 10, 2022
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    Parvaneh Khosravi Zadeh (2022). National Physical Inactivity [Dataset]. https://www.kaggle.com/parvanekhosravizade/national-physical-inactivity-report/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Parvaneh Khosravi Zadeh
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Context

    "https://www.americashealthrankings.org/explore/annual/measure/Sedentary/state/ALL">US National Physical Inactivity; 2021

    Content

    The content of this dataset reveals valuable information about national physical inactivity in the United States

    Acknowledgements

    Source: America’s Health Rankings 2021 Annual Report. ©2021 United Health Foundation. All Rights Reserved.

    Inspiration

    This dataset helped me to get more insights in order to analyze FitBit Fitness Tracker Data notebook for my Bellabeat Analysis

  7. States ranking for best health and healthcare for senior adults in the U.S....

    • tokrwards.com
    • statista.com
    • +1more
    Updated Oct 2, 2025
    + more versions
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    Preeti Vankar (2025). States ranking for best health and healthcare for senior adults in the U.S. in 2025 [Dataset]. https://tokrwards.com/?_=%2Fstudy%2F46537%2Fgeriatric-health-in-the-us%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Oct 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Preeti Vankar
    Area covered
    United States
    Description

    In 2025, across all states in the United States, Vermont was ranked as the healthiest state for older adults aged 65 years and above, followed by Colorado and Washington. On the other hand, Mississippi was the unhealthiest state for older adults in the United States, ranking last on the list. The U.S. state rankings for senior citizens were created using 35 metrics from five different areas of health—social and economic issues, environmental factors, behavioral factors, clinical treatment, and health outcomes.

  8. g

    HEALTH INDEX

    • global-relocate.com
    Updated Jul 12, 2024
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    Global Relocate (2024). HEALTH INDEX [Dataset]. https://global-relocate.com/rankings/health-index
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    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Global Relocate
    Description

    The healthcare ranking reflects the quality of health care and access to health services in different countries. The assessment includes various factors such as life expectancy, access to medical services, healthcare funding, and technologies.

  9. US Counties Ranks By Health Outcomes And Determinants 2010-2022

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). US Counties Ranks By Health Outcomes And Determinants 2010-2022 [Dataset]. https://www.johnsnowlabs.com/marketplace/us-counties-ranks-by-health-outcomes-and-determinants-2010-2022/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2010 - 2022
    Area covered
    United States
    Description

    The dataset contains US counties ranking data based on measures of health outcomes and health determinants. The measures used to establish counties ranks are related to length and quality of life for health outcomes and to health behavior, clinical care, socioeconomic and physical environment factors for health determinants. US counties are described along with their FIPS (Federal Information Processing Standard) code and the US state they belong.

  10. f

    Joint Outcome Model Fit for Average Poor Mental Health Days and Average Poor...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Joint Outcome Model Fit for Average Poor Mental Health Days and Average Poor Physical Health Days. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t009
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    a Average poor physical health days are represented by the intercept (measure = 0).b Poor mental health days are represented by measure = 1. The national average across counties is estimated as the sum of the intercept and slope for measure.Joint Outcome Model Fit for Average Poor Mental Health Days and Average Poor Physical Health Days.

  11. Access to Mental Health

    • hub.arcgis.com
    • share-open-data-njtpa.hub.arcgis.com
    Updated Dec 4, 2018
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    Urban Observatory by Esri (2018). Access to Mental Health [Dataset]. https://hub.arcgis.com/maps/07f70065653b4386b5c87cbe9b50b314
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    Dataset updated
    Dec 4, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map shows the access to mental health providers in every county and state in the United States according to the 2024 County Health Rankings & Roadmaps data for counties, states, and the nation. It translates the numbers to explain how many additional mental health providers are needed in each county and state. According to the data, in the United States overall there are 319 people per mental health provider in the U.S. The maps clearly illustrate that access to mental health providers varies widely across the country.The data comes from this County Health Rankings 2024 layer. An updated layer is usually published each year, which allows comparisons from year to year. This map contains layers for 2024 and also for 2022 as a comparison. County Health Rankings & Roadmaps (CHR&R), a program of the University of Wisconsin Population Health Institute with support provided by the Robert Wood Johnson Foundation, draws attention to why there are differences in health within and across communities by measuring the health of nearly all counties in the nation. This map's layers contain 2024 CHR&R data for nation, state, and county levels. The CHR&R Annual Data Release is compiled using county-level measures from a variety of national and state data sources. CHR&R provides a snapshot of the health of nearly every county in the nation. A wide range of factors influence how long and how well we live, including: opportunities for education, income, safe housing and the right to shape policies and practices that impact our lives and futures. Health Outcomes tell us how long people live on average within a community, and how people experience physical and mental health in a community. Health Factors represent the things we can improve to support longer and healthier lives. They are indicators of the future health of our communities. Some example measures are:Life ExpectancyAccess to Exercise OpportunitiesUninsuredFlu VaccinationsChildren in PovertySchool Funding AdequacySevere Housing Cost BurdenBroadband AccessTo see a full list of variables, definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details of this layer. For full documentation, visit the Measures page on the CHR&R website. Notable changes in the 2024 CHR&R Annual Data Release:Measures of birth and death now provide more detailed race categories including a separate category for ‘Native Hawaiian or Other Pacific Islander’ and a ‘Two or more races’ category where possible. Find more information on the CHR&R website.Ranks are no longer calculated nor included in the dataset. CHR&R introduced a new graphic to the County Health Snapshots on their website that shows how a county fares relative to other counties in a state and nation. Data Processing:County Health Rankings data and metadata were prepared and formatted for Living Atlas use by the CHR&R team. 2021 U.S. boundaries are used in this dataset for a total of 3,143 counties. Analytic data files can be downloaded from the CHR&R website.

  12. County Health Rankings 2020

    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 25, 2020
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    Esri (2020). County Health Rankings 2020 [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/items/c514eddc6d584e85bc2f90be25305fc8
    Explore at:
    Dataset updated
    Mar 25, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Some new features of the 2020 Rankings data compared to previous versions:More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska NativeReliability flags that to flag an estimate as unreliable5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volumeData Processing Notes:Data downloaded March 2020Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

  13. f

    Data Used in Longitudinal and Joint Outcome Models.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Data Used in Longitudinal and Joint Outcome Models. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    • 2004–2006 data were used in joint outcome models of age-specific mortality.Data Used in Longitudinal and Joint Outcome Models.
  14. States ranking for best mental health care in the United States in 2022

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). States ranking for best mental health care in the United States in 2022 [Dataset]. https://www.statista.com/statistics/1383843/ranking-of-states-in-the-us-for-best-mental-health-care/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, across all states in the United States, Vermont was ranked as having the best mental health care, followed by Massachusetts and Rhode Island. On the other hand, Texas had the worst mental health care in the U.S., ranking last on the list. The best mental health care ranking was based on scores that measured ***** healthcare metrics relevant to access to treatment, services, and insurance for mental illness in the U.S. in 2022.

  15. Health care outcomes ranking of 11 select countries' health care systems...

    • thefarmdosupply.com
    • statista.com
    • +1more
    Updated Feb 12, 2025
    + more versions
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    Preeti Vankar (2025). Health care outcomes ranking of 11 select countries' health care systems 2021 [Dataset]. https://www.thefarmdosupply.com/?_=%2Ftopics%2F13182%2Fhealth-care-system-in-australia%2F%23RslIny40YoL1bbEgyeyUHEfOSI5zbSLA
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Preeti Vankar
    Description

    According to a 2021 health care systems ranking among selected high-income countries, the United States came last in the overall ranking of its health care system performance. The overall ranking was based on five performance categories, including access to care, care process, administrative efficiency, equity, and health care outcomes. For the category health care outcomes, which takes into account health outcomes most likely to be responsive to health care, the U.S. was ranked last, while Australia took first place. Outcomes such as infant mortality or preventable mortality were included. This statistic present the health care outcomes rankings of the United States' health care system compared to ten other high-income countries in 2021.

  16. Health care process ranking of 11 select countries' health care systems 2021...

    • statista.com
    Updated Aug 16, 2024
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    Preeti Vankar (2024). Health care process ranking of 11 select countries' health care systems 2021 [Dataset]. https://www.statista.com/topics/9017/global-health-care-systems-comparison/
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    Dataset updated
    Aug 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Preeti Vankar
    Description

    According to a 2021 health care systems ranking among selected high-income countries, the United States came last in the overall ranking of its health care system performance. The overall ranking was based on five performance categories, including access to care, care process, administrative efficiency, equity, and health care outcomes. For the category care process, which measures preventive care, safe and coordinated care among others, the U.S. was ranked second, while New Zealand took first place. This statistic illustrates the health care process rankings of the United States' health care system compared to ten other high-income countries in 2021.

  17. V

    Quality of life measure - by state

    • data.virginia.gov
    csv
    Updated Oct 9, 2025
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    Datathon 2024 (2025). Quality of life measure - by state [Dataset]. https://data.virginia.gov/dataset/quality-of-life-by-state
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    csv(1738)Available download formats
    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Datathon 2024
    Description

    Quality of life is a measure of comfort, health, and happiness by a person or a group of people. Quality of life is determined by both material factors, such as income and housing, and broader considerations like health, education, and freedom. Each year, US & World News releases its “Best States to Live in” report, which ranks states on the quality of life each state provides its residents. In order to determine rankings, U.S. News & World Report considers a wide range of factors, including healthcare, education, economy, infrastructure, opportunity, fiscal stability, crime and corrections, and the natural environment. More information on these categories and what is measured in each can be found below:

    Healthcare includes access, quality, and affordability of healthcare, as well as health measurements, such as obesity rates and rates of smoking. Education measures how well public schools perform in terms of testing and graduation rates, as well as tuition costs associated with higher education and college debt load. Economy looks at GDP growth, migration to the state, and new business. Infrastructure includes transportation availability, road quality, communications, and internet access. Opportunity includes poverty rates, cost of living, housing costs and gender and racial equality. Fiscal Stability considers the health of the government's finances, including how well the state balances its budget. Crime and Corrections ranks a state’s public safety and measures prison systems and their populations. Natural Environment looks at the quality of air and water and exposure to pollution.

  18. Country

    • atlas-connecteddmv.hub.arcgis.com
    Updated Aug 29, 2022
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    Esri (2022). Country [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/datasets/esri::county-health-rankings-2022-1?layer=0
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    Dataset updated
    Aug 29, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.Some new variables in the 2022 Rankings data compared to previous versions:COVID-19 age-adjusted mortalitySchool segregationSchool funding adequacyGender pay gapChildcare cost burdenChildcare centersLiving wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).Data Processing Notes:Data downloaded April 2022Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Ratios were set to null if negative to make them easier to work with in the map.For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

  19. f

    Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates....

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 1, 2023
    + more versions
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    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon (2023). Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates. [Dataset]. http://doi.org/10.1371/journal.pone.0130027.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jessica K. Athens; Patrick L. Remington; Ronald E. Gangnon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Univariate Model Fits for Ages 45–54, 55–64, and Ages 65–74 Mortality Rates.

  20. Ranking of health and health systems of countries worldwide in 2023

    • thefarmdosupply.com
    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Ranking of health and health systems of countries worldwide in 2023 [Dataset]. https://www.thefarmdosupply.com/?_=%2Fstatistics%2F1376359%2Fhealth-and-health-system-ranking-of-countries-worldwide%2F%23RslIny40YoL1bbEgyeyUHEfOSI5zbSLA
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

    Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

    Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

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Statista (2025). U.S. states health ranking 2018 [Dataset]. https://www.statista.com/statistics/252057/us-health-ranking-2012/
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U.S. states health ranking 2018

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Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
United States
Description

This statistic depicts an overall U.S. states health ranking in 2018, according to America's Health Rankings of the United Health Foundation. As of that year, the top state based on health was Hawaii with a score of **** above the national norm.

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