11 datasets found
  1. Physician income by select countries worldwide in 2023

    • statista.com
    Updated Aug 19, 2024
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    Statista (2024). Physician income by select countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1094939/physician-earnings-worldwide/
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    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to a survey of practicing physicians in various countries worldwide, physicians in the United States have the highest overall income with approximately 353,000 U.S. dollars. Second highest on the list, surveyed Canadian physicians were paid on average 273,000 U.S. dollars. In all surveyed countries, female physicians earned consistently less than their male counterparts.

  2. Physician salaries in select countries worldwide in 2023, by gender

    • statista.com
    Updated Aug 19, 2024
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    Statista (2024). Physician salaries in select countries worldwide in 2023, by gender [Dataset]. https://www.statista.com/statistics/1094956/primary-care-physician-salaries-worldwide-by-gender/
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    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to a survey of practicing physicians in various countries, female physicians generally had lower salaries than their male counterparts. The average male physician in the United States earned 386,000 U.S. dollars while female doctors were paid just 300,000 U.S. dollars. In terms of percentage, the pay gap was widest in Portugal, where male doctors earned over 60 percent more than female doctors.

  3. Specialist physician salaries in select countries worldwide in 2019, by...

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Specialist physician salaries in select countries worldwide in 2019, by gender [Dataset]. https://www.statista.com/statistics/1094965/specialist-physician-salaries-worldwide-by-gender/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 18, 2018 - Apr 10, 2019
    Area covered
    Worldwide
    Description

    According to a survey of practicing physicians in various countries, male specialists had higher salaries than female specialists, with male specialist physicians in the United States earning 372,000 U.S. dollars and females earning 280,000 U.S. dollars. This statistic shows the salaries of specialist physicians in select countries worldwide in 2019, by gender.

  4. Physicians' satisfaction with compensation in select countries in 2023

    • statista.com
    Updated Aug 19, 2024
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    Statista (2024). Physicians' satisfaction with compensation in select countries in 2023 [Dataset]. https://www.statista.com/statistics/1094977/physician-fair-compensation-worldwide-by-type/
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    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In a survey of practicing physicians in various countries worldwide, around half of U.S. physicians felt fairly compensated, while just one in five physicians in the UK said so. While the average compensation of surveyed physicians play a large part. Cost of living, working conditions, work-life balance and many more factors also influence whether physicians feel they are compensated fairly or not.

  5. Salary of public sector medical professionals in Russia 2023, by level &...

    • statista.com
    • ai-chatbox.pro
    Updated Mar 6, 2025
    + more versions
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    Statista (2025). Salary of public sector medical professionals in Russia 2023, by level & region [Dataset]. https://www.statista.com/statistics/1110841/russia-doctors-and-medical-staff-wages-public-sector/
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Russia
    Description

    On average, doctors in Russia earned approximately 113,600 Russian rubles per month in 2023. In Moscow, the figure was significantly higher, measuring at roughly 204,100 Russian rubles. The mid-level medical staff across the country received around 55,000 Russian rubles per month, which was below the average salary in Russia.

  6. International Social Survey Programme: Health and Health Care I-II...

    • datacatalogue.cessda.eu
    • search.gesis.org
    Updated Dec 17, 2024
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    Evans, Ann; McEachern, Steven; Gray, Matthew; Zammit, Adam; Li, Lulu; National Survey Research Center at Renmin University of China, Beijing; Marinović Jerolimov, Dinka; Ančić, Branko; Brajdić Vuković, Marija; Cik, Tomislav; Jaklin, Katarina; Hamplová, Dana; Klusáček, Jan; Clement, Sanne L.; Andersen, Johannes; Møberg, Rasmus; Lolle, Henrik; Shamshiri-Petersen, Ditte; Andersen, Jørgen G.; Larsen, Christian A.; Sønderskov, Kim M.; Sommer Harrits, Gitte; Jæger, Mads; Gundelach, Peter; Levinsen, Klaus; Fridberg, Torben; Blom, Raimo; Melin, Harri; Borg, Sami; Laaksonen, Helena; Hakkola, Emilia; Jääskeläinen, Taina; Forsé, Michel; Bréchon Pierre; Gonthier, Frédéric; Astor, Sandrine; Zolotoukhine, Erik; Wolf, Christof; Naber, Dörte; Scholz, Evi; Lewin-Epstein, Noah; Meraviglia, Cinzia; Pedrazzani, Andrea; Guglielmi, Simona; Murata, Hiroko; Masaki, Miki; Aramaki, Hiroshi; Ganzeboom, Harry; Nagel, Ineke; Kolsrud, Kirstine; Skjåk, Knut K.; Agasøster, Bodil; Karlsen, Gry; Nikolaisen, Kristina; Guerrero, Linda Luz; Sandoval, Gerardo; Labucay, Iremae; Zieliński, Marcin W.; Jerzyński, Tomasz; Khakhulina, Ludmilla; Agapeeva, Ksenia; Bahna, Miloslav; DžambazoviĊ, Roman; Hafner-Fink, Mitja; Malnar, Brina; Struwig, Jare; Roberts, Benjamin; Sapin, Marlène; Joye, Dominique; Steinmetz, Stephanie; Chang, Ying-hwa; Wu, Chyi-In; mith, Tom W.; Marsden, Peter V.; Hout, Michael; Davern, Michael; Bautista, Rene; Freese, Jeremy; Morgan, Stephen L.; Herd, Pamela (2024). International Social Survey Programme: Health and Health Care I-II Cumulation [Dataset]. http://doi.org/10.4232/1.14438
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    Dataset updated
    Dec 17, 2024
    Dataset provided by
    NORC at the University of Chicago
    Levada-Center, Moscow, Russia
    University of California, Berkeley, USA
    The National Survey Research Center, Renmin University of China, Beijing, China
    Department of Political Science, University of Aarhus, Aarhus, Denmark
    Department of Education, University of Aarhus, Aahrhus, Denmark
    Human Sciences Research Council (HSRC), Pretoria, South Africa
    Norwegian Social Science Data Services, Bergen, Norway
    Institute for Social Research, Zagreb, Croatia
    FORS, c/o University of Lausanne, Switzerland
    Department of Political Science, University of Southern Denmark, Odense, Denmark
    Social Weather Stations, Quezon City, Philippines
    University of Milan, Dept. Social and Political Science, Milan, Italy
    NHK Broadcasting Culture Research Institute, Tokyo, Japan
    FORS swiss foundation for research in soical sciences, c/o University of Lausanne, Switzerland
    Department of Sociology, University of Copenhagen, Denmark
    The Australian National University, Canberra, Australia
    The Danish National Institute of Social Research, Copenhagen, Denmark
    VU University Amsterdam, Netherlands
    Institute of Sociology, Academia Sinica, Taipei City, Taiwan
    Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakia
    GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany
    Institute of Social Research, University of Eastern Piedmont, Italy
    Sciences Po Grenoble - Université Grenoble Alpes - Pacte - CNRS, France
    Finnish Social Science Data Archive, University of Tampere, Finland
    University of Tampere, Finland
    B.I. and Lucille Cohen Institute for public opinion, Tel-Aviv University, Israel
    FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
    Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia/ Faculty of Social Science, University of Ljubljana, Slovenia
    Robert B. Zajonc Institute for Social Studies, University of Warsaw, Poland
    Department of Economics, Politics and Public Administration, Aalborg University, Denmark
    Institute for Sociology of the Slovak Academy of Sciences, Comenius University, Bratislava, Slovakian Republic
    ANU Centre for Social Research and Methods, Australian National University, Canberra, Australia
    Harvard University, Cambridge, Massachusetts, USA
    China
    Institute of Sociology, Czech Academy of Sciences, Prague, Czech Republic
    Australian Consortium for Social and Political Research Inc., Black Rock, Victoria, Australia
    Authors
    Evans, Ann; McEachern, Steven; Gray, Matthew; Zammit, Adam; Li, Lulu; National Survey Research Center at Renmin University of China, Beijing; Marinović Jerolimov, Dinka; Ančić, Branko; Brajdić Vuković, Marija; Cik, Tomislav; Jaklin, Katarina; Hamplová, Dana; Klusáček, Jan; Clement, Sanne L.; Andersen, Johannes; Møberg, Rasmus; Lolle, Henrik; Shamshiri-Petersen, Ditte; Andersen, Jørgen G.; Larsen, Christian A.; Sønderskov, Kim M.; Sommer Harrits, Gitte; Jæger, Mads; Gundelach, Peter; Levinsen, Klaus; Fridberg, Torben; Blom, Raimo; Melin, Harri; Borg, Sami; Laaksonen, Helena; Hakkola, Emilia; Jääskeläinen, Taina; Forsé, Michel; Bréchon Pierre; Gonthier, Frédéric; Astor, Sandrine; Zolotoukhine, Erik; Wolf, Christof; Naber, Dörte; Scholz, Evi; Lewin-Epstein, Noah; Meraviglia, Cinzia; Pedrazzani, Andrea; Guglielmi, Simona; Murata, Hiroko; Masaki, Miki; Aramaki, Hiroshi; Ganzeboom, Harry; Nagel, Ineke; Kolsrud, Kirstine; Skjåk, Knut K.; Agasøster, Bodil; Karlsen, Gry; Nikolaisen, Kristina; Guerrero, Linda Luz; Sandoval, Gerardo; Labucay, Iremae; Zieliński, Marcin W.; Jerzyński, Tomasz; Khakhulina, Ludmilla; Agapeeva, Ksenia; Bahna, Miloslav; DžambazoviĊ, Roman; Hafner-Fink, Mitja; Malnar, Brina; Struwig, Jare; Roberts, Benjamin; Sapin, Marlène; Joye, Dominique; Steinmetz, Stephanie; Chang, Ying-hwa; Wu, Chyi-In; mith, Tom W.; Marsden, Peter V.; Hout, Michael; Davern, Michael; Bautista, Rene; Freese, Jeremy; Morgan, Stephen L.; Herd, Pamela
    Time period covered
    Mar 2011 - Jul 17, 2023
    Area covered
    Denmark
    Measurement technique
    Face-to-face interview: Paper-and-pencil (PAPI), Face-to-face interview: Computer-assisted (CAPI/CAMI), Self-administered questionnaire: Paper, Self-administered questionnaire: Web-based (CAWI), Telephone interview: Computer-assisted (CATI)
    Description

    The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about individual health and the health care system.

    ISSP Health and Health Care I-II cumulates the data of the integrated data files of • ISSP 2011 (ZA5800 Data file Version 3.0.0, https://doi.org/10.4232/1.12252) and • ISSP 2021 (ZA8000 Data file Version 2.0.0, https://doi.org/10.4232/5.ZA8000.2.0.0). It comprises data from all ISSP member countries participating in at least two Health and Health Care modules. The data set contains: • Cumulated topic-related (substantial) variables, which appear in at least two Health and Health Care and • background variables, mostly covering demographics, which appear in at least two Health and Health Care modules.
    Satisfaction with life (happiness); confidence in the national health care system; justification for better healthcare for people with higher incomes; agreement with various statements on the healthcare system (People use health care services more than necessary, the government should provide only limited health care services, in general, the health care system in the country is inefficient); willingness to pay higher taxes to improve the level of health care for all people in the country; attitude towards the access to publicly funded health care for people without citizenship of the country and even if they behave in ways that damage their health; opinion on causes why people suffer from severe health problems (because they behaved in ways that damaged their health, because of the environment they are exposed to at work or where they live, because of their genes, because they are poor); alternative/ traditional or folk medicine provides better solutions for health problems than mainstream/ Western traditional medicine; assessment of doctors in general in the country (doctors can be trusted, the medical skills of doctors are not as good as they should be, doctors care more about their earnings than about their patients); frequency of difficulties with work or household activities because of health problems, bodily aches or pains, unhappiness and depression, loss of self-confidence and insuperable problems in the past four weeks; frequency of visits to/ by a doctor and an alternative/ traditional/ folk health care practitioner during the past 12 months; reasons why the respondent did not receive needed medical treatment (could not pay for it, could not take the time off work or because of other commitments, the waiting list was too long); likelihood of getting the best treatment available in the country in the case of seriously illness; satisfaction with the health care system in the country; satisfaction with treatment at the last visit to a doctor and to an alternative health care practitioner; smoker status and number of smoked cigarettes per day; frequency of drinking four or more alcoholic drinks on the same day, of strenuous physical activity for at least 20 minutes, and of eating fresh fruit or vegetables; assessment of personal health status; respondent has a long-standing illness, a chronic condition, or a disability; respondent’s height (in cm) and weight (in kg); kind of personal health insurance.

    Demography: sex; age; years of birth; legal partnership status; steady life partner; education: years of schooling; highest education level; currently, formerly, or never in paid work (respondent and partner); employment relationship (respondent and partner); current employment status (respondent and partner); hours worked weekly (respondent and partner); occupation (ISCO 2008) (respondent and partner); supervising function at work (respondent and partner); number of other employees supervised; type of organization: for-profit vs. non-profit and public vs. private; trade union membership; household size; number of children above school entry age in household; number of children below school age in household; party affiliation (left-right); participation in last election; attendance of religious services; religious main groups (derived); Top Bottom self-placement; subjective social class; place of living urban – rural; household income groups (derived); country specific region.

    Additionally coded: ID number of respondent; unique cumulation respondent ID number; Case substitution flag; date of interview (year, month, day); ISSP Module year; country; country...

  7. Density of physicians in West Africa 2020, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jan 30, 2024
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    Statista (2024). Density of physicians in West Africa 2020, by country [Dataset]. https://www.statista.com/statistics/1122671/density-of-medical-doctors-in-west-africa-by-country/
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    Dataset updated
    Jan 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 4, 2020
    Area covered
    Africa
    Description

    The lack of medical services in West Africa represents a serious issue in sanitary emergency. As of April 2020, different West African countries counted less than a doctor every 10,000 inhabitants. Especially, Sierra Leone had three physicians per 100,000 individuals, the lowest density of medical doctors in West Africa. Moreover, Burkina Faso was estimated to have only 11 ventilators in the whole country for a population of almost 20 million people.

    The average number of doctors across the OECD countries in 2019 equaled to 35 per 10,000 inhabitants. The member countries of OECD are mostly high-income countries, whereas Nigeria is an emerging economy and it belongs to countries with lower middle-incomes.

  8. g

    Eurobarometer 67.3 (May-Jun 2007)

    • search.gesis.org
    • pollux-fid.de
    Updated Jul 2, 2012
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    Papacostas, Antonis (2012). Eurobarometer 67.3 (May-Jun 2007) [Dataset]. http://doi.org/10.4232/1.10985
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    application/x-spss-sav(27381678), application/x-spss-por(48257902), application/x-stata-dta(26625333), (3139)Available download formats
    Dataset updated
    Jul 2, 2012
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Papacostas, Antonis
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    May 25, 2007 - Jun 27, 2007
    Variables measured
    v583 - D10 GENDER, v584 - D11 AGE EXACT, v700 - INTERVIEWER ID, v14 - W5 WEIGHT EURO 6, v16 - W6 WEIGHT EURO 9, v18 - W7 WEIGHT EURO 10, v20 - W8 WEIGHT EURO 12, v581 - D8 AGE EDUCATION, v26 - W11 WEIGHT EURO 15, v32 - W14 WEIGHT EURO 25, and 690 more
    Description

    General health care services and long-term care for elderly people. Undeclared work. EU relations with neighbouring countries. EU development aid. Attitude towards the design of the euro.

    Topics: 1. General health care services and long-term care for elderly people (only in EU27, HR, TR): limited activities due to physical or mental handicap in the last six months; significant permanent difficulty with regard to doing selected activities; assessment of the quality of the following health care services in the own country: hospitals, dental care, medical or surgical specialists, family doctors or general practitioners, care services for dependent people, nursing homes; availability and accessibility of the aforementioned services; affordability of the aforementioned services; no use of the aforementioned services due to lack of access or availability or due to costs; best options for elderly parents who can no longer live alone; attitude towards the following statements on the care of elderly: public authorities should provide appropriate services, general insurance scheme to finance care, use proceeds from sale or borrowing own house or flat to finance care, obligation of children to pay for parents, obligation of close relatives to care, income for people who care for relatives, possibility of support from professional carers on special occasions; personal experience with long-term care in the last ten years; appropriateness of long-term care; kind of personal involvement; place of residence of person in need; payments for care of own parents; percentage of household income already paid or expected to be paid for parents’ care; already given up work or expected to do so to care for parents; expectation to become dependent oneself; concern about becoming dependent; expected appropriateness of help; expected and preferred way of help; most likely source of payment for personal care; reasons for not receiving appropriate help; recommended frequency of medical check-ups and personal frequency; applicability of the following characteristics to the respondent: smoker, overweight, no exercise, unhealthy food, too much alcohol, living in noisy environment, heavily polluted environment, stress at work, stress in personal relations; assumed extension of life expectancy by avoiding some of the aforementioned criteria; assumed personal life expectancy; discussions with selected kinds of people about personal care preferences: partner, children, parents, other relatives, family doctor or general practitioner, social worker or care provider; personal measures already taken or planning to take: save money or take out insurance, adapt own home or move to a suitable home, visit care institutions or professional carers, speak to doctor or social services, speak to partner or other close persons; attitude towards the following statements on the care of dependent elderly people: have to rely too much on relatives, professional care at home is available at affordable cost, institutions offer insufficient standards of care, professional care staff is doing excellent job, many dependent people become victims of abuse; assessment of the extent of care deficiency with regard to elderly people in the own country; assessment of the risk for elderly people in the own country to become exposed to: poor living conditions, insufficient attention to physical needs, inadequate care, psychological abuse, abuse of property, physical abuse, sexual abuse; most likely kind of person to carry out poor treatment; most important ways with regard to prevent neglect; number of own children; child who lives nearest to respondent and distance; age of mother and father; place of residence of mother and father.

    1. Undeclared work (only in EU27): estimated share of the population in the own country doing undeclared work; acquaintance doing undeclared work; estimated risk of detection; sanctions to be expected; most likely gender to carry out undeclared work; most likely groups of persons to carry out undeclared work: unemployed, self-employed, pensioners, full-time employees, part-time employees, students, illegal immigrants; general reasons for doing undeclared work; service or goods acquired in the last twelve months assumed to be undeclared; kind of acquired services or goods; value of the most important acquired service or good coming from undeclared work in the last twelve months; seller of good or service; reasons for buying undeclared; assumed purchase of...
  9. Health expenditure as a percentage of GDP in select countries 2023

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Health expenditure as a percentage of GDP in select countries 2023 [Dataset]. https://www.statista.com/statistics/268826/health-expenditure-as-gdp-percentage-in-oecd-countries/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    OECD, Worldwide
    Description

    Among OECD member countries, the United States had the highest percentage of gross domestic product spent on health care as of 2023. The U.S. spent nearly ** percent of its GDP on health care services. Germany, France and Japan followed the U.S. with distinctly smaller percentages. The United States had both significantly higher private and public spending on health compared with other developed countries. Why compare OECD countries?OECD stands for Organization for Economic Co-operation and Development. It is an economic organization consisting of ** members, mostly high-income countries and committed to democratic principles and market economy. This makes OECD statistics more comparable than statistics of developed and undeveloped countries. Health economics is an important matter for the OECD, even more since increasing health costs and an aging population have become an issue for many developed countries. Health costs in the U.S.  A higher GDP share spent on health care does not automatically lead to a better functioning health system. In the case of the U.S., high spending is mainly because of higher costs and prices, not due to higher utilization. For example, physicians’ salaries are much higher in the U.S. than in other comparable countries. A doctor in the U.S. earns almost twice as much as the average physician in Germany. Pharmaceutical spending per capita is also distinctly higher in the United States. Furthermore, the U.S. also spends more on health administrative costs compare to other wealthy countries.

  10. 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.

  11. Direct premiums of medical professional liability insurance market U.S. by...

    • statista.com
    • ai-chatbox.pro
    Updated Nov 1, 2024
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    Statista (2024). Direct premiums of medical professional liability insurance market U.S. by state 2023 [Dataset]. https://www.statista.com/statistics/796686/premiums-of-medical-professional-liability-insurance-usa-by-state/
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    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the value of direct premiums earned by the medical professional liability insurance market in the United States was highest in the state of New York. At that time, direct premiums earned in New York amounted to over 1.6 billion U.S. dollars. This was followed by the state of California, wherein direct premiums earned amounted to a value of approximately 900 million U.S. dollars. In Washington, the federal capital of the United States, medical liability insurance direct premiums earned were valued at just over 208 million U.S. dollars.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Physician income by select countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1094939/physician-earnings-worldwide/
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Physician income by select countries worldwide in 2023

Explore at:
Dataset updated
Aug 19, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

According to a survey of practicing physicians in various countries worldwide, physicians in the United States have the highest overall income with approximately 353,000 U.S. dollars. Second highest on the list, surveyed Canadian physicians were paid on average 273,000 U.S. dollars. In all surveyed countries, female physicians earned consistently less than their male counterparts.

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