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.

The statistic displays the number of people per active physician in the United States in 2021, based on specialty. In that year, there were ****** people per physician specializing in pain medicine and pain management. The largest number of active physicians are among primary care specialties such as internal medicine and general practice. Active physician in the U.S.Both federal and nonfederal physicians licensed by a state and working at least 20 hours a week are considered active. There is a large variety among practicing physicians in the United States based on specialties. In 2019, there were about ****** people per physician practicing interventional cardiology and about ***** people per pediatrician. Overall, there are *** people per physician of all specialties. There are also gross differences between practicing physicians based on specialty and both age group and gender. Nearly ** percent of physicians practicing neurological surgery are males, and a ** percent of physicians practicing obstetrics and gynecology are women. Overall, women make up about ** percent of all physicians. Some ** percent of physicians practicing internal medicine/pediatrics as well as ** percent of doctors practicing interventional cardiology were under the age of 55. More than **** of the doctors practicing geriatric medicine in the United States obtained their medical education internationally. This includes outside the United States, Puerto Rico, and Canada. To be able to practice in the United States, these doctors must be certified by the Educational Commission for Foreign Medical Graduate and complete a residency within the United States.

In 2023, the United States had an average of *** physicians per 100,000 population. This varied widely by state. The ******************** had the highest physician density, followed by *************, ********, and ********* On the other hand, ***** had the lowest number of active licensed physicians per population, followed by ************

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.

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.

Data sources: World Health Organization [5]; World Health Organization [6]; Mullan et al. [7]; Foundation for Advancement of International Medical Education and Research [8]; University of Copenhagen and World Health Organization [9]; Redi-Med Data [10]; United States Census Bureau [11].aCirca 1970, 1969–1976; circa 2010, 2003–2012.

In 2019, there were around ** active physicians per 10,000 civilians in the District of Columbia, followed by the state of Massachusetts with around ** active physicians per 10,000 civilians. This statistic shows the top 10 U.S. states by number of active physicians per 10,000 civilian population in 2019.

Top Covid19 Countries and Health Demographic Trend

Context

This is a time-series trend data collection with a series of json files primarily focused on countries most impacted by Covid-19. The tree formatted time series data should be able to enable various different kinds of analysis to answer questions about what may make a country's health system vulnerable to Covid-19 and what health demographics may help reducing the impact.

Demographic metrics

Healthcare GDP Expenditure 
Healthcare Employment
Hospital Bed Capacity
Air Pollution and Death Rate
Chronic illnesses and DALYs(Disability-Adjusted Life Years)
Body Weight 
Elderly(Aged 65+) Population
CT Scanner Density
Tobacco Consumption(Smoker population %)

More metrics can be added upon request.

Data Normalization

The raw CSV includes many different types of measurements such as number, percentage and per 1 million population. This data normalizes the time_series data by selecting data that is more about density, and number per capita data rather than absolute numbers. This could help doing comparison among nations since they may vary significantly on population.

Content

Most of the JSON files contain time_series data. For people who want to use the data as country metadata, the most-recent data attribute is collected in top_countries_latest_fact_summary.json

The JSON data focuses on the above mentioned demographic areas in a simple tree schema { Country_name: { metric_name:[ List of {year, value, unit} ] } }

Data source & License

The data is sourced from OECD(https://stats.oecd.org/) and GDHX(http://ghdx.healthdata.org/). The json files with prefix "gbd_" are from GDHX

Following citation is needed for using GDHX data:

GBD Results tool: Use the following to cite data included in this download: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018. Available from http://ghdx.healthdata.org/gbd-results-tool.

Inspiration

• Where does US rank in term of Healthcare/Preventive spending in GDP, hospital bed/ICU bed/physician density and long-term illness? In which areas can US do more to prevent future Cov-19 crisis?

• Is there correlation in a nation's medical preparedness and the rate of growth in confirmation, death rate and recovery rate? From GBD data graphs, it seems that Dalys(DALYs (Disability-Adjusted Life Years), rate per 100k) can divided nations into different camps.

• How does death rate from Cov-19 correlate with Death rate related to Cardiovascular diseases and Chronic respiratory diseases?

• What trends can we discover in various nation's health demographics over time? Are some areas getting better while others getting worse?

• With time span from 2010 to 2018, this dataset can also correlate with data related to recent outbreaks such as seasonal flus, Avian influenza, etc.

Example Notebook

With some quick analysis, it shows that the US actually ranks higher than China for DALYs(Disability-adjusted life years) caused by Chronic Respiratory conditions, which could be due to seasonal allergies. It seems counter-intuitive that this may suggest that countries with cleaner air may have higher burden of people with Chronic Respiratory conditions that may have made them more vulnerable in the Covid-19 crisis.

Example Kernel: https://www.kaggle.com/timxia/bar-chart-comparison-of-countries https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4802460%2F2fce05195108856422b437316f34e837%2FTobacco.png?generation=1585936274243838&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4802460%2Fe8db14764a47a8bce48fa79bdfdfb0f1%2FChronicDisease.png?generation=1585936274372639&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4802460%2Fc534d40af042b9a503325f41c49b83cb%2FAirPollution.png?generation=1585936274337626&alt=media" alt="">

ContextFinancial and demographic pressures in US require an understanding of the most efficient distribution of physicians to maximize population-level health benefits. Prior work has assumed a constant negative relationship between physician supply and mortality outcomes throughout the US and has not addressed regional variation.MethodsIn this ecological analysis, geographically weighted regression was used to identify spatially varying relationships between local urologist density and prostate cancer mortality at the county level. Data from 1,492 counties in 30 eastern and southern states from 2006–2010 were analyzed.FindingsThe ordinary least squares (OLS) regression found that, on average, increasing urologist density by 1 urologist per 100,000 people resulted in an expected decrease in prostate cancer mortality of -0.499 deaths per 100,000 men (95% CI -0.709 to -0.289, p-value < 0.001), or a 1.5% decrease. Geographic weighted regression demonstrated that the addition of one urologist per 100,000 people in counties in the southern Mississippi River states of Arkansas, Mississippi, and Louisiana, as well as parts of Illinois, Indiana, and Wisconsin is associated with decrease of 0.411 to 0.916 in prostate cancer mortality per 100,000 men (1.6–3.6%). In contrast, the urologist density was not significantly associated with the prostate state mortality in the new England region.ConclusionsThe strength of association between urologist density and prostate cancer mortality varied regionally. Those areas with the highest potential for effects could be targeted for increasing the supply of urologists, as it associated with the largest predicted improvement in prostate cancer mortality.

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.

ABSTRACT OBJECTIVE To describe the human resources for health and analyze the inequality in its distribution in Mexico. METHODS Cross-sectional study based on the National Occupation and Employment Survey (ENOE in Spanish) for the fourth quarter of 2018 in Mexico. Graduated physicians and nurses, and auxiliary/technician nurses with completed studies were considered as human resources for health. States were grouped by degree of marginalization. Densities of human resources for health per 1,000 inhabitants, Index of Dissimilarity (DI) and Concentration Indices (CI) were estimated as measures of unequal distribution. RESULTS The density of human resources for health was 4.6 per 1,000 inhabitants. We found heterogeneity among states with densities from 2.3 to 10.5 per 1,000 inhabitants. Inequality was higher in the states with a very low degree of marginalization (CI = 0.4) than those with high marginalization (CI = 0.1), and the inequality in the distribution of physicians (CI = 0.5) was greater than in graduated nurses (CI = 0.3) among states. In addition, 17 states showed a density above the threshold of 4.5 per 1,000 inhabitants proposed in the Global Strategy on Human Resources for Health. That implies a deficit of nearly 60,000 human resources for health among the 15 states below the threshold. For all states, to reach a density equal to the national density of 4.6, about 12.6% of human health resources would have to be distributed among states that were below national density. CONCLUSIONS In Mexico, there is inequality in the distribution of human resources for health, with state differences. Government mechanisms could support the balance in the labor market of physicians and nurses through a human resources policy.

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.

To characterize the number of oculofacial plastic surgeons (OPS) per county in the United States (U.S.). The 2021 public databases of the American Society of Ophthalmic Plastic and Reconstructive Surgery and the American Academy of Ophthalmology were used to identify all OPS in the U.S. Surgeon practice location was used to determine per capita physician density by county. A total of 1184 OPS in the U.S. were identified. Three hundred forty-eight counties were served by at least one OPS whereas 2795 counties (89%), and two states, North Dakota and Wyoming, had no OPS. The average ratio of OPS to 100,000 population was 0.3572 (1 per 279,955). Of the counties with at least one OPS, the average was 0.5860 surgeons per 100,000 population (1 per 170,648), ranging from 0.0705 (1 per 1,418,440) to 11.26 (1 per 8,881) per 100,000. The counties with the greatest OPS density were Pitkin County, CO (1 per 8,881), San Juan County, WA (1 per 17,580), and Montour County, PA (1 per 18,231). Counties with the lowest density of those with at least one OPS were Bronx County, NY (1 per 1,418,238), San Bernardino County, Ca (1 per 1,090,037), and Gwinnett County, GA (1 per 936,329). The counties with the most OPS were Los Angeles County, CA (46), New York County, NY (38), and Cook County, IL (25). Geographic disparities in OPS distribution exist in the U.S. Future investigations of OPS supply according to population and other characteristics for demand may be useful.

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.

Users can view cross-nationally comparable data on the health workforce in the 193 WHO member states. Background The Global Atlas of the Health Workforce is a database maintained by the World Health Organization (WHO). This database allows users to view cross-nationally comparable data on the health workforce in the 193 WHO member states. Health workforce statistics includes the number or density of physicians, nurses, midwives, dentists, pharmacists, laboratory workers, community health workers, and public health workers. User Functionality Users can generate sta tistics pertaining to the health workforce. Users can view information by country, international region, or world, and choose a time period for which they are interested in viewing health workforce statistics. Aggregated and disaggregated data are available. In addition, users can view regional summaries of the health workforce. Data Notes The Global Atlas of the Health Workforce is updated periodically. Data are available for 1995-2011. Data are derived from national population censuses, labor force and employment surveys, health facility assessments, and official country reports to the WHO. Regional and country summaries are available.

As of 2019, the south Indian state of Kerala had the highest density of doctors of about ** per ten thousand population in the country. However, Jharkhand had the least density of doctors in the country of about **** doctors per ten thousand people in the state.

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.

Legend.Studies are listed by year (y) of publication, in decreasing order.Abbreviations: US = United States; NL = The Netherlands; UK = United Kingdom; ZA = South Africa; RU = Russia; RCT = Randomised Controlled Trial; cRCT = cluster Randomised Controlled Trial; FUP = follow-up; m = months; SD = standard deviation; nr = not reported; Phys.: physicians; PHD = Public health department; PC = Primary Care; ART = Antiretroviral Therapy; DM (2) = Diabetes Mellitus (Type 2); CVD = Cardiovascular Disease; BPLT = Blood Pressure Lowering Treatment; NP = nurse practitioner; NP+ = nurse practitioner with higher degree/course; RN = registered nurse; LN = licensed nurse; y = yes; n = no; FCA = full clinical autonomy; GDL = interventions based on clinical guidelines or protocols; 1stC. = 1st contact; UV = urgent visits; OC = on-going care; n (C, n) = number of consultations; BP = blood pressure; TC = total cholesterol; GH = glycosylated haemoglobin; ART = antiretroviral therapy; CD4 = t-cell surface glycoprotein CD4; HDL = high density lipoprotein; LDL = low density lipoprotein; PD20 = provocative dose of methacholine causing a 20% fall in forced expiratory volume in one second (FEV1); FENO = fraction of exhaled nitric oxide.* start and end year when studies were conducted.†drawn from nine randomly chosen health authority areas.‡paediatricians.§general physicians.¶63 were for the control group.** 9 were physicians and 19 were supervisors; intervention delivered following clinical protocols.††2 were nurse practitioners and 8 were (licensed) nurses.‡‡phase I follow-up: 6–12 months; phase II follow-up: 24 months.

In 2020, the density of medical doctors in conflict and risk countries in the Arab region was the highest for Libya at about ** per ten thousand population, and the lowest for Somalia at *** per ten thousand population. Although the COVID-19 cases in the region were low by international standards, the conflict and humanitarian crises which left more than ** million people in need of humanitarian assistance even prior to the pandemic made them vulnerable to a greater threat.

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.