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.

Physicians (per 1,000 people) in United States was reported at 3.608 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Physicians - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

In the United States, there were roughly 268 thousand primary care physicians (PCPs) actively working in 2021. Most PCPs were either specialized in family medicine or internal medicine. The third most common specialty for primary care physicians in the United States was pediatrics.

In 2021, in some specialties, female primary care physicians (PCPs) were more common than men. Geriatrics and pediatrics were specialties where PCPs were predominantly female in the United States. For instance, two-thirds of PCPs who specialized in pediatrics were women. On the other hand, just 41 percent of PCPs who specialized in internal medicine in the U.S. were female in 2021.

The average for 2020 based on 2 countries was 2.23 doctors per 1,000 people. The highest value was in Mexico: 2.41 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.

ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.

This statistic depicts the annual compensation among family practice physicians in the U.S. according to different sources and organizations. As of 2018, Sullivan Cotter Medical Group reported an annual compensation for family practitioners of some 267 thousand U.S. dollars, while Compdata came to some 235 thousand dollars annually.

Health professionals, especially primary care physicians, are in high demand in many parts of the U.S. Some areas are experiencing health professional shortages. This map shows the ratio of population to primary care physicians in the U.S. Areas in dark red show where there are less primary care physicians per person.The data comes from County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The layer used in the map comes from ArcGIS Living Atlas of the World, and the full documentation for the layer can be found here.County data are suppressed if, for both years of available data, the population reported by agencies is less than 50% of the population reported in Census or less than 80% of agencies measuring crimes reported data.

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Graph and download economic data for All Employees: Education and Health Services: Offices of Physicians in Michigan (SMU26000006562110001SA) from Jan 2001 to May 2025 about physicians, health, MI, services, employment, and USA.

The distribution of physicians across the United States reveals significant disparities, with California leading the pack at nearly ******* active doctors as of January 2025. This concentration of medical professionals in populous states highlights the ongoing challenge of ensuring adequate healthcare access nationwide. The stark contrast between California's physician count and Wyoming's mere ***** doctors underscores the need for targeted efforts to address healthcare workforce shortages in less populated areas. Primary care and specialist distribution California's dominance in the medical field extends beyond overall physician numbers. The state leads in both primary care physicians and specialists, accounting for over ** percent of each category nationally. This concentration of medical expertise in California reflects broader trends, with New York and Texas following as the states with the highest numbers of active primary care physicians. The distribution of specialists also mirrors national patterns, with psychiatry, surgery, and anaesthesiology among the most common specialties. Physician burnout While the number of physicians continues to grow, physician burnout remains a significant issue. There are large variations in rates of burnout depending on a physician's gender and specialty. For example, burnout is disproportionally high among women, affecting ** percent of female physicians and ** percent of male physicians. Meanwhile, emergency medicine physicians reported the highest levels of burnout among specialists, highlighting the need for targeted interventions to support the individual needs of doctors depending on their different circumstances.

The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings. The data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020. Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022. The data are considered preliminary, and the results may change with the final data release.

This dataset comprises physician-level entries from the 1906 American Medical Directory, the first in a series of semi-annual directories of all practicing physicians published by the American Medical Association [1]. Physicians are consistently listed by city, county, and state. Most records also include details about the place and date of medical training. From 1906-1940, Directories also identified the race of black physicians [2].This dataset comprises physician entries for a subset of US states and the District of Columbia, including all of the South and several adjacent states (Alabama, Arkansas, Delaware, Florida, Georgia, Kansas, Kentucky, Louisiana, Maryland, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, West Virginia). Records were extracted via manual double-entry by professional data management company [3], and place names were matched to latitude/longitude coordinates. The main source for geolocating physician entries was the US Census. Historical Census records were sourced from IPUMS National Historical Geographic Information System [4]. Additionally, a public database of historical US Post Office locations was used to match locations that could not be found using Census records [5]. Fuzzy matching algorithms were also used to match misspelled place or county names [6].The source of geocoding match is described in the “match.source” field (Type of spatial match (census_YEAR = match to NHGIS census place-county-state for given year; census_fuzzy_YEAR = matched to NHGIS place-county-state with fuzzy matching algorithm; dc = matched to centroid for Washington, DC; post_places = place-county-state matched to Blevins & Helbock's post office dataset; post_fuzzy = matched to post office dataset with fuzzy matching algorithm; post_simp = place/state matched to post office dataset; post_confimed_missing = post office dataset confirms place and county, but could not find coordinates; osm = matched using Open Street Map geocoder; hand-match = matched by research assistants reviewing web archival sources; unmatched/hand_match_missing = place coordinates could not be found). For records where place names could not be matched, but county names could, coordinates for county centroids were used. Overall, 40,964 records were matched to places (match.type=place_point) and 931 to county centroids ( match.type=county_centroid); 76 records could not be matched (match.type=NA).Most records include information about the physician’s medical training, including the year of graduation and a code linking to a school. A key to these codes is given on Directory pages 26-27, and at the beginning of each state’s section [1]. The OSM geocoder was used to assign coordinates to each school by its listed location. Straight-line distances between physicians’ place of training and practice were calculated using the sf package in R [7], and are given in the “school.dist.km” field. Additionally, the Directory identified a handful of schools that were “fraudulent” (school.fraudulent=1), and institutions set up to train black physicians (school.black=1).AMA identified black physicians in the directory with the signifier “(col.)” following the physician’s name (race.black=1). Additionally, a number of physicians attended schools identified by AMA as serving black students, but were not otherwise identified as black; thus an expanded racial identifier was generated to identify black physicians (race.black.prob=1), including physicians who attended these schools and those directly identified (race.black=1).Approximately 10% of dataset entries were audited by trained research assistants, in addition to 100% of black physician entries. These audits demonstrated a high degree of accuracy between the original Directory and extracted records. Still, given the complexity of matching across multiple archival sources, it is possible that some errors remain; any identified errors will be periodically rectified in the dataset, with a log kept of these updates.For further information about this dataset, or to report errors, please contact Dr Ben Chrisinger (Benjamin.Chrisinger@tufts.edu). Future updates to this dataset, including additional states and Directory years, will be posted here: https://dataverse.harvard.edu/dataverse/amd.References:1. American Medical Association, 1906. American Medical Directory. American Medical Association, Chicago. Retrieved from: https://catalog.hathitrust.org/Record/000543547.2. Baker, Robert B., Harriet A. Washington, Ololade Olakanmi, Todd L. Savitt, Elizabeth A. Jacobs, Eddie Hoover, and Matthew K. Wynia. "African American physicians and organized medicine, 1846-1968: origins of a racial divide." JAMA 300, no. 3 (2008): 306-313. doi:10.1001/jama.300.3.306.3. GABS Research Consult Limited Company, https://www.gabsrcl.com.4. Steven Manson, Jonathan Schroeder, David Van Riper, Tracy Kugler, and Steven Ruggles. IPUMS National Historical Geographic Information System: Version 17.0 [GNIS, TIGER/Line & Census Maps for US Places and Counties: 1900, 1910, 1920, 1930, 1940, 1950; 1910_cPHA: ds37]. Minneapolis, MN: IPUMS. 2022. http://doi.org/10.18128/D050.V17.05. Blevins, Cameron; Helbock, Richard W., 2021, "US Post Offices", https://doi.org/10.7910/DVN/NUKCNA, Harvard Dataverse, V1, UNF:6:8ROmiI5/4qA8jHrt62PpyA== [fileUNF]6. fedmatch: Fast, Flexible, and User-Friendly Record Linkage Methods. https://cran.r-project.org/web/packages/fedmatch/index.html7. sf: Simple Features for R. https://cran.r-project.org/web/packages/sf/index.html

According to a survey carried out in the United States in 2023, willingness to share health data dropped when compared to the same survey question asked in 2020 and 2022. In 2023, ** percent of adults would share health data with a doctor or clinician, while in 2020, ** percent of respondents were willing to share health data with doctors or clinicians.

As of January 2025, there were a total of 566,723 specialty physicians active in the United States. Of these, most were specialized in emergency medicine. Physician compensation Significant pay variations exist across specialties and regions, with orthopedic doctors and surgeons command the highest average annual salaries at 558,000 U.S. dollars. Meanwhile, the West North Central area offers the highest average physician compensation at 404,000 U.S. dollars annually. This region's higher pay likely stems from lower physician density in rural areas, creating less competition. Interestingly, doctors in Northeastern and Southwestern parts of the United States tend to earn less than their counterparts in other regions. Burnout among physicians Despite high salaries, U.S. physicians face high workload and stress in the workplace. Nearly half of surveyed doctors reported feeling burnout, with higher burnout rates among female doctors, younger physicians, and those in primary care compared to their counterparts. More effort to combat burnout is needed in the healthcare system. Increasing compensation was cited by physicians as the top measure to alleviate burnout, followed by adding support staff and offering more flexible schedules.

Indonesia BioNER Dataset

This dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format. Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the data into two entity types: DISORDERS and ANATOMY. The topics of answers are: diarrhea, HIV-AIDS, nephrolithiasis and TBC, which marked as high-risk dataset from WHO. This… See the full description on the dataset page: https://huggingface.co/datasets/abid/indonesia-bioner-dataset.

Context

Open Payments is a federal program that collects and makes information public about financial relationships between the health care industry, physicians, and teaching hospitals. The Centers for Medicare & Medicaid Services (CMS) collects information from manufacturers of drugs and devices about payments and other transfers of value they make to physicians and teaching hospitals. These payments and other transfers of value can be for many purposes, like research, consulting, travel, and gifts. We’ll make this data publicly available and searchable on this site each year. More information about it can be found here.

Content

The data has been cleaned slightly to remove all fields that had 5% or more null values. This was done in order to decrease the file size and make it slightly more understandable.

Acknowledgements

The original datasets can be found here.

Inspiration

Inspired by the 2013 version of this dataset that was upload by Centers for Medicare & Medicaid Services , found here

The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com. All copyrights of the data belong to healthcaremagic.com and icliniq.com.

Graph and download economic data for All Employees, Offices of Physicians (CES6562110001) from Jan 1972 to Jun 2025 about physicians, health, establishment survey, education, services, employment, and USA.

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

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