22 datasets found
  1. G

    Doctors per 1,000 people by country, around the world | TheGlobalEconomy.com...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 21, 2021
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    Globalen LLC (2021). Doctors per 1,000 people by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/doctors_per_1000_people/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Jan 21, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2020 based on 27 countries was 3.56 doctors per 1,000 people. The highest value was in Austria: 5.35 doctors per 1,000 people and the lowest value was in Brazil: 2.05 doctors per 1,000 people. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

  2. T

    United States Physicians Per 1 000 People

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2017
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    TRADING ECONOMICS (2017). United States Physicians Per 1 000 People [Dataset]. https://tradingeconomics.com/united-states/physicians-per-1-000-people-wb-data.html
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Actual value and historical data chart for United States Physicians Per 1 000 People

  3. Physician density in OECD countries worldwide 2022

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). Physician density in OECD countries worldwide 2022 [Dataset]. https://www.statista.com/statistics/268162/physicians-density-in-selected-countries-from-2000-to-2009/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Austria leads the world in physician density with **** practicing doctors per thousand population in 2022, highlighting significant disparities in healthcare access globally. This stark contrast becomes evident when comparing Austria to countries like India, South Africa, and Indonesia, which have less than * physician per 1,000 people. Life expectancy and healthcare access Interestingly, countries with higher physician densities often correlate with higher life expectancies. Switzerland, for instance, boasts both a high physician density of **** per 1,000 people and the highest life expectancy globally at **** years. This relationship underscores the potential impact of accessible healthcare on population health. However, exceptions exist, as evidenced by the United States, where life expectancy has decreased in recent years despite having **** physicians per 1,000 people. Factors such as the COVID-19 pandemic and the opioid epidemic have contributed to this decline. Healthcare expenditure and physician density While physician density is an important metric, it does not always directly correlate with healthcare spending. The United States, for example, has the highest per capita health expenditure among OECD countries, spending over ****** U.S. dollars per person in 2023. This is significantly higher than countries with greater physician densities like Austria and Germany. The U.S. also allocates the largest share of its GDP to healthcare, at **** percent. The United States is an outlier regarding the correlation between healthcare spending, resources and health outcomes.

  4. Doctor density in Mexico 2006-2023

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Doctor density in Mexico 2006-2023 [Dataset]. https://www.statista.com/statistics/787632/number-doctors-inhabitants-mexico/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In Mexico, the number of practicing doctors amounted to **** professionals per 1,000 inhabitants in 2023, an increase compared to the figures reported a year earlier when there were **** practicing physicians per every thousand people. During 2022, the number of physicians in Mexico totaled approximately ******* professionals. Density of doctors worldwide In a global comparison, Mexico ranks in a middle category for density of medical doctors per 1,000 population, similar to Canada and Colombia. Among the countries in the upper bracket for highest density of doctors are Cuba, Sweden, Belgium, and Uruguay. Along with Mexico’s moderate density of doctors, over ** percent of the population was considered vulnerable due to lack of access to health services in Mexico as of 2022, up from around **** percent a decade earlier. Health care in Mexico Nearly ** ******* people in Mexico held public health insurance through Seguro Popular in 2020, which was replaced by a new institution at the beginning of that year, called INSABI (Instituto Nacional de Salud para el Bienestar). However, the IMSS (Instituto Mexicano del Seguro Social) led by a large margin as the largest provider of health insurance in the North American country.

  5. T

    United States Physicians per 1,000 people

    • trendonify.com
    csv
    Updated Dec 31, 2021
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    Trendonify (2021). United States Physicians per 1,000 people [Dataset]. https://trendonify.com/united-states/physicians-per-1000
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    csvAvailable download formats
    Dataset updated
    Dec 31, 2021
    Dataset authored and provided by
    Trendonify
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    United States
    Description

    Yearly (annual) dataset of the United States Physicians per 1,000 people, including historical data, latest releases, and long-term trends from 1960-12-31 to 2021-12-31. Available for free download in CSV format.

  6. T

    United States Medical Doctors

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Medical Doctors [Dataset]. https://tradingeconomics.com/united-states/medical-doctors
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1993 - Dec 31, 2019
    Area covered
    United States
    Description

    Medical Doctors in the United States increased to 2.77 per 1000 people in 2019 from 2.74 per 1000 people in 2018. This dataset includes a chart with historical data for the United States Medical Doctors.

  7. Number of doctor visits per capita in select countries 2023

    • statista.com
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    Statista, Number of doctor visits per capita in select countries 2023 [Dataset]. https://www.statista.com/statistics/236589/number-of-doctor-visits-per-capita-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, OECD
    Description

    Among OECD countries in 2023, South Korea had the highest rate of yearly visits to a doctor per capita. On average, South Koreans visited the doctors 15.7 times per year in person. Health care utilization is an important indicator of the success of a country’s health care system. There are many factors that affect health care utilization including healthcare structure and the supply of health care providers. OECD health systems Healthcare systems globally include a variety of tools for accessing healthcare, including private insurance based systems, like in the U.S., and universal systems, like in the U.K. Health systems have varying costs among the OECD countries. Worldwide, Europe has the highest expenditures for health as a proportion of the GDP. Among all OECD countries, The United States had the one of the highest share of government spending on health care. Recent estimates of current per capita health expenditures showed the United States also had, by far, the highest per capita spending on health worldwide. Supply of health providers Globally, the country with the highest physician density is Cuba, although most other countries with high number of physicians to population was found in Europe. The number of graduates of medicine impacts the number of available physicians in countries. Among OECD countries, Latvia had the highest rate of graduates of medicine, which was almost twice the rate of the OECD average.

  8. Density of licensed physicians in the U.S. 2010-2024

    • statista.com
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    Statista, Density of licensed physicians in the U.S. 2010-2024 [Dataset]. https://www.statista.com/statistics/1485391/us-licensed-physician-to-population-ratio/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010 - 2024
    Area covered
    United States
    Description

    As of 2024, the number of licensed physicians in the United States and the District of Columbia amounted to ********* physicians. At the time, the national population was roughly ************ which yielded a physician-to-population ratio of *** licensed physicians per 100,000 population. The density of licensed U.S. physicians has steadily increased since 2010.

  9. Z

    Data from: Data Hospital Beds, Physicians, Nurses and Expenditure for 20...

    • data-staging.niaid.nih.gov
    • investiga.upo.es
    • +1more
    Updated Jul 6, 2023
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    Matus-Lopez, Mauricio; Fernández Pérez, paloma (2023). Data Hospital Beds, Physicians, Nurses and Expenditure for 20 Latin American Countries from 1960 to 2022 [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_7985338
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    Dataset updated
    Jul 6, 2023
    Dataset provided by
    Universitat de Barcelona
    Universidad Pablo de Olavide
    Authors
    Matus-Lopez, Mauricio; Fernández Pérez, paloma
    License

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

    Area covered
    Americas, Latin America
    Description

    Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure.

    Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". Journal of Evolutionary Studies in Business.

    The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023).

    Serie 1. Hospital Beds per 1,000 inhabitants

    Serie 2. Physicians per 10,000 inhabitants

    Serie 3. Nurses per 10,000 inhabitants

    Serie 4. Government spending on health, per capita. Constant US dollars of 2020

    Cite as:

  10. F

    Medical Services Expenditures per Capita by Disease: Mental Illness ,...

    • fred.stlouisfed.org
    json
    Updated Jan 5, 2024
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    (2024). Medical Services Expenditures per Capita by Disease: Mental Illness , Blended Account Basis [Dataset]. https://fred.stlouisfed.org/series/MNINEIPCBLEND
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    jsonAvailable download formats
    Dataset updated
    Jan 5, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Medical Services Expenditures per Capita by Disease: Mental Illness , Blended Account Basis (MNINEIPCBLEND) from 2000 to 2021 about mental health, disease, physicians, healthcare, medical, health, expenditures, per capita, services, and USA.

  11. Number of physicians per 100,000 inhabitants in Mexico 2014-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Number of physicians per 100,000 inhabitants in Mexico 2014-2029 [Dataset]. https://www.statista.com/forecasts/1148223/physician-density-forecast-in-mexico
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    The average number of physicians per 1,000 inhabitants in Mexico was forecast to continuously increase between 2024 and 2029 by in total **** physicians (+**** percent). The number of physicians is estimated to amount to **** physicians in 2029. Depicted here is the average number of physicians per one thousand people. Thereby physicians include medical specialists as well as general practitioners. A data point thereby denotes the weighted average across the depicted geographical unit.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of physicians per 1,000 inhabitants in countries like United States and Canada.

  12. Number of physicians per 100,000 inhabitants in Canada 2014-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Number of physicians per 100,000 inhabitants in Canada 2014-2029 [Dataset]. https://www.statista.com/forecasts/1148217/physician-density-forecast-in-canada
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average number of physicians per 1,000 inhabitants in Canada was forecast to remain on a similar level in 2029 as compared to 2024 with **** physicians. According to this forecast, the number of physicians will stay nearly the same over the forecast period. Depicted here is the average number of physicians per one thousand people. Thereby physicians include medical specialists as well as general practitioners. A data point thereby denotes the weighted average across the depicted geographical unit.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of physicians per 1,000 inhabitants in countries like United States and Mexico.

  13. Data for Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart...

    • figshare.com
    csv
    Updated Jun 17, 2025
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    Leon Robertson (2025). Data for Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart Disease, Infant Mortality, and COVID-19 Death Rates, U.S. States 2018-2021 [Dataset]. http://doi.org/10.6084/m9.figshare.29344994.v2
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    csvAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Leon Robertson
    License

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

    Area covered
    United States
    Description

    The role of religion and politics in the responses to the coronavirus pandemic raises the question of their influence on the risk of other diseases. This study focuses on age-adjusted death rates of cancer, heart disease, and infant mortality per 1000 live births before the pandemic (2018-2019) and COVID-19 in 2020-2021. Eight hypothesized predictors of health effects were analyzed by examining their correlation to age-adjusted death rates among U.S. states, percentage who pray once or more daily, Republican influence on state health policies as indicated by the percentage vote for Trump in 2016, percent of household incomes below poverty, median family income divided by a cost-of-living index, the Gini income inequality index, urban concentration of the population, physicians per capita, and public health expenditures per capita. Since prayer for divine intervention is common to otherwise diverse religious beliefs and practices, the percentage of people claiming to pray daily in each state was used to indicate potential religious influence. All of the death rates were higher in states where more people claimed to pray daily, and where Trump received a larger percentage of the vote. Except for COVID-19, the death rates were consistently lower in states with higher public health expenditures per capita. Only COVID-19 was correlated to physicians per capita, lower where there were more physicians. Corrected statistically for the other factors, income per cost of living explains no variance. Heart disease and COVID-19 death rates were higher in areas with more income inequality. All of the disease rates were in correlation with more rural populations. Correlation of daily prayer with smoking cigarettes, and neglect of public health recommendations for fruit and vegetable consumption and COVID-19 vaccination suggests that prayer may be substituted for preventive practices.

  14. covid-19-correlations-with-data-from-World-Bank

    • kaggle.com
    zip
    Updated Jan 26, 2021
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    Frank (2021). covid-19-correlations-with-data-from-World-Bank [Dataset]. https://www.kaggle.com/datasets/fvcoppen/covid19correlationswithdatafromworldbank/discussion
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    zip(60223 bytes)Available download formats
    Dataset updated
    Jan 26, 2021
    Authors
    Frank
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    I wanted to see if there is some correlation with covid-19 mortality and other parameters

    Content

    The data is collected from the World Bank data sets. These features were collected: 'Gross domestic product 2019 (millions of US dollars)' 'Mobile cellular subscriptions (per 100 people)' 'Immunization, HepB3 (% of one-year-old children)' 'Immunization, Hib3 (% of children ages 12-23 months)' 'Immunization, BCG (% of one-year-old children)' 'Immunization, DPT (% of children ages 12-23 months)' 'Immunization, measles (% of children ages 12-23 months)' 'Immunization, Pol3 (% of one-year-old children)' 'Community health workers (per 1,000 people)' 'Nurses and midwives (per 1,000 people)' 'Physicians (per 1,000 people)' 'Incidence of malaria (per 1,000 population at risk)' 'Smoking prevalence, total, ages 15+' 'Number of surgical procedures (per 100,000 population)' 'People with basic handwashing facilities including soap and water (% of population)' 'Incidence of tuberculosis (per 100,000 people)' 'Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)' 'Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)' 'Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD)' 'Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line)' 'External health expenditure per capita (current US$)' 'Domestic general government health expenditure (% of GDP)' 'Domestic general government health expenditure (% of general government expenditure)' 'Domestic general government health expenditure per capita (current US$)' 'Domestic private health expenditure (% of current health expenditure)' 'Domestic private health expenditure per capita (current US$)' 'International migrant stock (% of population)' 'Number of people who are undernourished' 'Life expectancy at birth, total (years)' 'Population ages 65 and above, total' 'Population, total' 'Surface area (sq km)' 'Urban population (% of total population)' 'Adequacy of social insurance programs (% of total welfare of beneficiary households)']

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Is it possible to find more explanations on the sometimes strange differences between different countries regarding covid-19 infections and death cases

  15. o

    National Neighborhood Data Archive (NaNDA): Health Care Services by Census...

    • openicpsr.org
    Updated Feb 25, 2020
    + more versions
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    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth (2020). National Neighborhood Data Archive (NaNDA): Health Care Services by Census Tract, United States, 2003-2017 [Dataset]. http://doi.org/10.3886/E120907V3
    Explore at:
    Dataset updated
    Feb 25, 2020
    Dataset provided by
    University of Michigan. Institute for Social Research
    Authors
    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth
    License

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

    Area covered
    United States
    Description

    This dataset describes the number and density of health care services in each census tract in the United States. The data includes counts, per capita densities, and area densities per tract for many types of businesses in the health care sector, including doctors, dentists, mental health providers, nursing homes, and pharmacies.

  16. Z

    Data set from Van Bulck L, Goossens E, Luyckx K, Apers S, Oechslin E, Thomet...

    • data.niaid.nih.gov
    • data-staging.niaid.nih.gov
    Updated Feb 12, 2021
    + more versions
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    Liesbet Van Bulck; Eva Goossens; Koen Luyckx; Silke Apers; Erwin Oechslin; Corina Thomet; Werner Budts; Junko Enomoto; Maayke A Sluman; Chun-Wei Lu; Jamie L Jackson; Paul Khairy; Stephen C Cook; Shanthi Chidambarathanu; Luis Alday; Katrine Eriksen; Mikael Dellborg; Malin Berghammer; Bengt Johansson; Andrew S Mackie; Samuel Menahem; Maryanne Caruana; Gruschen Veldtman; Alexandra Soufi; Susan M Fernandes; Kamila White; Edward Callus; Shelby Kutty; Philip Moons (2021). Data set from Van Bulck L, Goossens E, Luyckx K, Apers S, Oechslin E, Thomet C, Budts W, Enomoto J, Sluman MA, Lu CW, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Moons P; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Healthcare system inputs and patient-reported outcomes: a study in adults with congenital heart defect from 15 countries. BMC Health Serv Res. 2020 Jun 3;20(1):496. doi: 10.1186/s12913-020-05361-9. PMID: 32493367; PMCID: PMC7268498. [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4519444
    Explore at:
    Dataset updated
    Feb 12, 2021
    Dataset provided by
    Division of Cardiology, Hospital de Niños, Córdoba, Argentina.
    Adult Congenital Heart Disease Center, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
    Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium.
    Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden.
    Department of Health Sciences, University West, Trollhättan, Sweden.
    Center for Biobehavioral Health, Nationwide Children's Hospital, Columbus, OH, USA.
    Research Foundation Flanders (FWO), Brussels, Belgium.
    Monash Heart, Monash Medical Centre, Monash University, Melbourne, Australia.
    KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 35, Box 7001, B-3000, Leuven, Belgium. philip.moons@kuleuven.be.
    Adult Congenital Heart Disease Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
    Department of Adult Congenital Heart Disease, Chiba Cardiovascular Center, Chiba, Japan.
    KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 35, Box 7001, B-3000, Leuven, Belgium.
    Adult Congenital Heart Disease Program at Stanford, Lucile Packard Children's Hospital and Stanford Health Care, Palo Alto, CA, USA.
    Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
    National Taiwan University Hospital and Medical College, National Taiwan University, Taipei, Taiwan.
    Division of Cardiology, Stollery Children's Hospital, University of Alberta, Edmonton, Canada.
    Department of Cardiology, Academic Medical Center, Amsterdam, the Netherlands.
    Adult Congenital Heart Center, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
    Division of Congenital and Structural Cardiology, University Hospitals Leuven, Leuven, Belgium.
    Center for Congenital Heart Disease, Inselspital - Bern University Hospital, University of Bern, Bern, Switzerland.
    Clinical Psychology Service, IRCCS Policlinico San Donato, Milan, Italy.
    Adult Congenital Heart Disease Center, Washington University and Barnes Jewish Heart & Vascular Center, University of Missouri, Saint Louis, MO, USA.
    KU Leuven School Psychology and Development in Context, KU Leuven - University of Leuven, Leuven, Belgium.
    Adult Congenital Heart Disease Center University of Nebraska Medical Center/ Children's Hospital and Medical Center, Omaha, NE, USA.
    Department of Congenital Heart Disease, Louis Pradel Hospital, Hospices civils de Lyon, Lyon, France.
    Department of Cardiology, Mater Dei Hospital, Birkirkara Bypass, Msida, Malta.
    Pediatric Cardiology, Frontier Lifeline Hospital (Dr. K. M. Cherian Heart Foundation), Chennai, India.
    Toronto Congenital Cardiac Centre for Adults, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Canada.
    Adult Congenital Heart Disease Center, Helen DeVos Children's Hospital, Grand Rapids, MI, USA.
    Authors
    Liesbet Van Bulck; Eva Goossens; Koen Luyckx; Silke Apers; Erwin Oechslin; Corina Thomet; Werner Budts; Junko Enomoto; Maayke A Sluman; Chun-Wei Lu; Jamie L Jackson; Paul Khairy; Stephen C Cook; Shanthi Chidambarathanu; Luis Alday; Katrine Eriksen; Mikael Dellborg; Malin Berghammer; Bengt Johansson; Andrew S Mackie; Samuel Menahem; Maryanne Caruana; Gruschen Veldtman; Alexandra Soufi; Susan M Fernandes; Kamila White; Edward Callus; Shelby Kutty; Philip Moons
    Description

    Data set from the article Van Bulck L, Goossens E, Luyckx K, Apers S, Oechslin E, Thomet C, Budts W, Enomoto J, Sluman MA, Lu CW, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Moons P; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Healthcare system inputs and patient-reported outcomes: a study in adults with congenital heart defect from 15 countries. BMC Health Serv Res. 2020 Jun 3;20(1):496. doi: 10.1186/s12913-020-05361-9. PMID: 32493367; PMCID: PMC7268498.

    This is the abstract:

    Background: The relationship between healthcare system inputs (e.g., human resources and infrastructure) and mortality has been extensively studied. However, the association between healthcare system inputs and patient-reported outcomes remains unclear. Hence, we explored the predictive value of human resources and infrastructures of the countries' healthcare system on patient-reported outcomes in adults with congenital heart disease.

    Methods: This cross-sectional study included 3588 patients with congenital heart disease (median age = 31y; IQR = 16.0; 52% women; 26% simple, 49% moderate, and 25% complex defects) from 15 countries. The following patient-reported outcomes were measured: perceived physical and mental health, psychological distress, health behaviors, and quality of life. The assessed inputs of the healthcare system were: (i) human resources (i.e., density of physicians and nurses, both per 1000 people) and (ii) infrastructure (i.e., density of hospital beds per 10,000 people). Univariable, multivariable, and sensitivity analyses using general linear mixed models were conducted, adjusting for patient-specific variables and unmeasured country differences.

    Results: Sensitivity analyses showed that higher density of physicians was significantly associated with better self-reported physical and mental health, less psychological distress, and better quality of life. A greater number of nurses was significantly associated with better self-reported physical health, less psychological distress, and less risky health behavior. No associations between a higher density of hospital beds and patient-reported outcomes were observed.

    Conclusions: This explorative study suggests that density of human resources for health, measured on country level, are associated with patient-reported outcomes in adults with congenital heart disease. More research needs to be conducted before firm conclusions about the relationships observed can be drawn.

  17. U.S. physicians with an opioid marketing payment in 2013-2015, by census...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. physicians with an opioid marketing payment in 2013-2015, by census region [Dataset]. https://www.statista.com/statistics/981455/physicians-opioid-marketing-payments-us-by-census-region/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2013 - Dec 31, 2015
    Area covered
    United States
    Description

    This statistic depicts the mean number of U.S. physicians that received opioid marketing payments in 2013-2015, by census region and per 1,000 population. According to the source, **** physicians were paid per every 1,000 population in the Southern census region of the United States.

  18. Per capita health expenditure in selected countries 2024

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Per capita health expenditure in selected countries 2024 [Dataset]. https://www.statista.com/statistics/236541/per-capita-health-expenditure-by-country/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the United States had the ******* per capita health expenditure among OECD countries. At that time, per capita health expenditure in the U.S. amounted over ******** U.S. dollars, significantly higher than in Switzerland, the country with the ************** per capita health expenditure. Norway, Germany and, the Netherlands are also within the top five countries with the highest per capita health expenditure. The United States also spent the highest share of it’s gross domestic product on health care, with **** percent of its GDP spent on health care services. Health Expenditure in the U.S. The United States is the highest spending country worldwide when it comes to health care. In 2023, total health expenditure in the U.S. came close to **** trillion dollars. Expenditure as a percentage of GDP is projected to increase to approximately ** percent by the year 2033. Distribution of Health Expenditure in the U.S. Health expenditure in the United States is spread out across multiple categories such as nursing home facilities, home health care, and prescription drugs. As of 2023, the majority of health expenditure in the United States was spent on hospital care, accounting for a bit less than *** third of all health spending. Hospital care was followed by spending on physician and clinical services which accounted for ** percent of overall health expenditure.

  19. Number of opioid marketing payments in the U.S. in 2013-2015, by ethnicity

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Number of opioid marketing payments in the U.S. in 2013-2015, by ethnicity [Dataset]. https://www.statista.com/statistics/981432/physician-payments-for-us-opioid-marketing-by-ethnicity/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2013 - Dec 31, 2015
    Area covered
    United States
    Description

    This statistic depicts the mean number of opioid marketing payments made to physicians in the U.S. in 2013-2015, by ethnicity and per 1,000 population. According to the data, among white, non-Hispanic communities a mean of **** payments were made during that time.

  20. U.S. health expenditure as percent of GDP 1960-2023

    • statista.com
    Updated Jun 11, 2025
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    Statista (2025). U.S. health expenditure as percent of GDP 1960-2023 [Dataset]. https://www.statista.com/statistics/184968/us-health-expenditure-as-percent-of-gdp-since-1960/
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    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, U.S. national health expenditure as a share of its gross domestic product (GDP) reached 17.6 percent, this was an increase on the previous year. The United States has the highest health spending based on GDP share among developed countries. Both public and private health spending in the U.S. is much higher than other developed countries. Why the U.S. pays so much moreWhile private health spending in Canada stays at around three percent and in Germany under two percent of the gross domestic product, it is nearly nine percent in the United States. Another reason for high costs can be found in physicians’ salaries, which are much higher in the U.S. than in other wealthy countries. A general practitioner in the U.S. earns nearly twice as much as the average physician in other high-income countries. Additionally, medicine spending per capita is also significantly higher in the United States. Finally, inflated health care administration costs are another of the predominant factors which make health care spending in the U.S. out of proportion. It is important to state that Americans do not pay more because they have a higher health care utilization, but mainly because of higher prices. Expected developmentsBy 2031, it is expected that health care spending in the U.S. will reach nearly one fifth of the nation’s gross domestic product. Or in dollar-terms, health care expenditures will accumulate to about seven trillion U.S. dollars in total.

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Globalen LLC (2021). Doctors per 1,000 people by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/doctors_per_1000_people/

Doctors per 1,000 people by country, around the world | TheGlobalEconomy.com

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14 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, csvAvailable download formats
Dataset updated
Jan 21, 2021
Dataset authored and provided by
Globalen LLC
License

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

Time period covered
Dec 31, 1960 - Dec 31, 2021
Area covered
World
Description

The average for 2020 based on 27 countries was 3.56 doctors per 1,000 people. The highest value was in Austria: 5.35 doctors per 1,000 people and the lowest value was in Brazil: 2.05 doctors per 1,000 people. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

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