As of 2018, the largest distribution of U.S. physicians was between the ages of 55 and 65 years old. At that time about ** percent of physicians fell within this age group. With just **** percent of all physicians, the smallest distribution of U.S. physicians was among those aged 35 years or younger. Data suggests that in the U.S. the average age of medical students is around 24 years old and the average age of matriculants is about **.

U.S. Physician demographics  

It is estimated that one of the best ways to combat aging population health needs is to increase the number of doctors practicing in the U.S. In general, the number of physicians in the U.S. has been on the rise. Every year about 20 thousand new physicians join the U.S. workforce. Despite an increase in the number of physicians the number of active physicians per 10,000 people has remained relatively stagnant in recent years. As of 2019, the specialty with the largest number of physicians was psychiatry, followed by surgery.

Physician compensation  

Physician compensation varies significantly between regions and genders. With graduates owing an average of ******* U.S. dollars in student loans upon graduation, equal compensation has become especially important. However, women in the medical industry make significantly less income than their male counterparts. As of 2019, female physicians earned between ** and ** thousand U.S. dollars less than male physicians. Regionally, there are also significant differences. As of 2018, physicians working in the North Central U.S. had higher annual compensation than those in other areas. Those working in the Northeast had the lowest annual compensation.

In fiscal year 2021, the average age of people insured by Article *, paragraph * of the Act in Japan was **** years. The average age has risen steadily from **** years in 2017 during the observed period.

As of the end of 2020, there were around *** practicing physicians per 100,000 inhabitants in Japan, up from approximately *** in 2018. The total number of physicians engaging in medical care amounted to roughly ***** thousand in 2020. Despite keeping the highest numbers and density of hospitals worldwide, Japan is not included in the list of leading countries when it comes to the count and density of physicians. Japanese hospitals are, therefore, repeatedly said to be suffering from the shortage of physicians and other medical staff.

Profile of physicians

In 2020, the average age of all registered physicians in Japan was **** years old, indicating a constant increase in the last two decades. Of the total, around ** percent were female physicians. Tokushima Prefecture had the highest number of physicians among all ** prefectures, with about ***** physicians available per 100,000 population.

Physicians employed at hospitals

In Japan, medical facilities can be divided into two categories: hospitals and medical clinics. Japanese hospitals have facilities for the admission of ** or more inpatients, while medical clinics provide a smaller scale of services. In 2020, the number of physicians working at hospitals exceeded *** thousand, showing a continuous growth in recent years. In terms of specialty, the highest number of physicians, around ** thousand, were working at internal medicine departments in the hospitals. Roughly **** thousand were specializing in surgery.

European Health Survey: Average number of visits to the family doctor or general practitioner in the last 4 weeks, according to sex and age group. Average and standard deviation. Population aged 16 years old and over that has visited the family doctor or general practitioner in the last 4 weeks. National.

European Health Survey: Expenditure on visits to the family doctor or general practitioner and specialist, according to sex and age group. Average and standard deviation. Population aged 16 years old and over that has visited the family doctor or general practitioner and/or specialist in the last 4 weeks. National.

This is the fourth round of the physician survey component of the Community Tracking Study (CTS). The first round was conducted in 1996-1997 (ICPSR 2597), the second round in 1998-1999 (ICPSR 3267), and the third in 2000-2001 (ICPSR 3820). Sponsored by the Robert Wood Johnson Foundation, the CTS is a large-scale investigation of changes in the American health care system and their effects on people. As in the previous rounds, physicians were sampled in the 60 CTS sites: 51 metropolitan and 9 nonmetropolitan areas that were randomly selected to form the core of the CTS and to be representative of the nation as a whole. However, the fourth round lacks an independent supplemental national sample of physicians, which augmented the CTS site sample in the previous rounds. Information collected by the survey includes net income from the practice of medicine, year of birth, sex, race, Hispanic origin, year of graduation from medical school, specialty, board certification status, compensation model, patient mix (e.g., race/Hispanic origin of patients and percent with chronic conditions), career satisfaction, practice type, size, and ownership, percent of practice revenue from Medicare, Medicaid, or managed care, acceptance of new Medicaid and Medicare patients and, if applicable, reasons for not accepting them, use of information technology for care management, number of patient visits and hours worked in medically related activities during the last complete week of work, and the number of hours spent providing charity care in the last month. In addition, the survey elicited views on a number of issues such as patient-physician interactions, competition among practices, the influence of financial incentives on the quantity of services provided to patients, trends in the amount and quality of nursing support, one's ability to provide quality care and obtain needed services for patients, and the importance of various factors that may limit the quality of care. Part 3, the Site and County Crosswalk Data File, identifies the counties that constitute each CTS site. Part 4, Physician Survey Summary File, contains site-level estimates and standard errors for selected physician characteristics, e.g., the average age of physicians, the average percentage of patients with a formulary, and the percentage of physicians who said medical errors in hospitals are a minor problem.

Table of INEBase Average number of visits to the family doctor appointments in the last 4 weeks by sex and age group. Average and standard deviation. Population aged 15 years old and over that had visited the family doctor in the last 4 weeks. National. European Health Survey

In 2022, over three in ten licensed physicians in the United States were 60 years of age or older. In comparison, just one quarter were over the age of 60 years in 2010. This trend towards older physicians can be seen more clearly by comparing the average age of licensed physicians in 2022, which was 51.9 years, to 2010, in which the mean age was 50.7.

Average number of visits to the specialist in the last 4 weeks, by sex and age group. Average and standard deviation. Population that has visited the doctor in the last 4 weeks. National.

European Health Survey: Average number of consultations to the family doctor in the last 4 weeks according to gender, age groups and level of education. Average and standard deviation. Population of 15 and older who have consulted a family doctor in the last 4 weeks. National.

European Health Survey: Average number of visits to the family doctor in the last 4 weeks by sex and age group. Average and standard deviation. Population aged 15 years old and over that had visited the family doctor in the last 4 weeks. National.

Average number of consultations to the specialist doctor in the last 4 weeks by sex and age group. Average and standard deviation. Population that has visited the specialist's office in the last 4 weeks. National.

Table of INEBase Average number of specialist doctor appointments in the last 4 weeks by sex and age group. Average and standard deviation. Population aged 15 years old and over that had visited the specialist doctor in the last 4 weeks. National. European Health Survey

ObjectivesThe world is witnessing a sharp increase in its elderly population, accelerated by longer life expectancy and lower birth rates, which in turn imposes enormous medical burden on society. Although numerous studies have predicted medical expenses based on region, gender, and chronological age (CA), any attempt has rarely been made to utilize biological age (BA)—an indicator of health and aging—to ascertain and predict factors related to medical expenses and medical care use. Thus, this study employs BA to predict factors that affect medical expenses and medical care use.Materials and methodsReferring to the health screening cohort database of the National Health Insurance Service (NHIS), this study targeted 276,723 adults who underwent health check-ups in 2009−2010 and kept track of the data on their medical expenses and medical care use up to 2019. The average follow-up period is 9.12 years. Twelve clinical indicators were used to measure BA, while the total annual medical expenses, total annual number of outpatient days, total annual number of days in hospital, and average annual increases in medical expenses were used as the variables for medical expenses and medical care use. For statistical analysis, this study employed Pearson correlation analysis and multiple regression analysis.ResultsRegression analysis of the differences between corrected biological age (cBA) and CA exhibited statistically significant increases (p

European Health Survey: Average number of specialist doctor appointments in the last 4 weeks by sex and age group. Average and standard deviation. Population aged 15 years old and over that had visited the specialist doctor in the last 4 weeks. National.

Abstract (en): Sponsored by the Robert Wood Johnson Foundation, this survey is one component of the Community Tracking Study (CTS), a national study designed to track changes in the health care system and the effects of the changes on care delivery and on individuals. Central to the design of the CTS is its community focus. Sixty sites (51 metropolitan areas and 9 nonmetropolitan areas) were randomly selected to form the core of the CTS and to be representative of the nation as a whole. The Physician Survey was administered to physicians in the 60 CTS sites and to a supplemental national sample of physicians. Information gathered by the survey instrument includes physician supply and specialty distribution, practice arrangements and physician ownership of practices, sources of practice revenue, level and determinants of physician compensation, effects of care management strategies, and physicians' allocation of time, provision of charity care, career satisfaction, and perceptions of their ability to deliver care. For primary care physicians, the survey instrument also provided vignettes of various clinical presentations for which there was no prescribed method of treatment. These physicians were asked to indicate the percentage of patients for whom they would recommend the course of action specified in each particular vignette. Part 3, the Site and County Crosswalk Data File, describes which counties constitute each site. Part 4, the Physician Survey Summary File, contains site-level averages and percentages and standard errors of these estimates for selected attributes, e.g., the percentage of physicians who were foreign medical school graduates, average age of physicians, average percentage of patient care practice revenue from Medicaid, etc. Physicians who were practicing in the contiguous United States, were providing direct patient care for at least 20 hours per week, and were not federal employees. Residents and fellows, as well as physicians in selected specialties, were excluded. The CTS sites were selected using stratified sampling with probability proportional to population size. The supplemental sample, selected with stratified random sampling, was included in the survey to increase the precision of national estimates. The sample frame was developed by combining lists of physicians from the American Medical Association and the American Osteopathic Association. 2011-11-17 ICPSR added Stata setups to this collection.2001-12-21 (1) Data and documentation for the Restricted-Use Version of the Main Data File (Part 2) have been updated. Several variables were revised and other variables have been added or deleted. For a complete description of the changes, see the "What's New" page in the user guide for Part 2. (2) The codebook for the Site and County Crosswalk Data File (Part 3) has been revised. (3) SAS and SPSS data definition statements have been prepared for Parts 3 and 4.1999-11-02 A restricted-use version of the main data file has been added to the collection as Part 2, the Site and County Crosswalk Data File has been added as Part 3, and the Physician Survey Summary File has been added as Part 4. To obtain the restricted-use file, researchers must agree to the terms and conditions of a Restricted Data Use Agreement. Funding insitution(s): Robert Wood Johnson Foundation (29275). More information about this study can be found on the Web site of the Center for Studying Health System Change.

ObjectivesThe world is witnessing a sharp increase in its elderly population, accelerated by longer life expectancy and lower birth rates, which in turn imposes enormous medical burden on society. Although numerous studies have predicted medical expenses based on region, gender, and chronological age (CA), any attempt has rarely been made to utilize biological age (BA)—an indicator of health and aging—to ascertain and predict factors related to medical expenses and medical care use. Thus, this study employs BA to predict factors that affect medical expenses and medical care use.Materials and methodsReferring to the health screening cohort database of the National Health Insurance Service (NHIS), this study targeted 276,723 adults who underwent health check-ups in 2009−2010 and kept track of the data on their medical expenses and medical care use up to 2019. The average follow-up period is 9.12 years. Twelve clinical indicators were used to measure BA, while the total annual medical expenses, total annual number of outpatient days, total annual number of days in hospital, and average annual increases in medical expenses were used as the variables for medical expenses and medical care use. For statistical analysis, this study employed Pearson correlation analysis and multiple regression analysis.ResultsRegression analysis of the differences between corrected biological age (cBA) and CA exhibited statistically significant increases (p

Sri Lanka LK: Physicians: per 1000 People data was reported at 0.881 Ratio in 2015. This records an increase from the previous number of 0.726 Ratio for 2010. Sri Lanka LK: Physicians: per 1000 People data is updated yearly, averaging 0.223 Ratio from Dec 1960 (Median) to 2015, with 29 observations. The data reached an all-time high of 0.881 Ratio in 2015 and a record low of 0.134 Ratio in 1981. Sri Lanka LK: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

's Average time of medical examination or treatment (Age 15 and over, female) is 10[minutes] which is the 5th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Gifu and Nagano(Nagano) and Gunma(Gunma)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

This statistic shows the number of times adults in the U.S. went to the doctor for a check-up in the past year as of February 2017, by age. It was found that 61 percent of those aged 18 to 30 years went to the doctor up to three times for check-ups in the past twelve months.