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 July of 2025.

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.

The number of physicians across the United States reveals significant variations, with California leading the pack at nearly ******* active doctors as of April 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 leads also 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.

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.

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.

The Medicare Physician & Other Practitioners by Provider dataset provides information on use, payments, submitted charges and beneficiary demographic and health characteristics organized by National Provider Identifier (NPI). Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.

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

According to a survey in 2024, female primary care physicians in the United States had earned an annual compensation of 253 thousand U.S. dollars while male primary care physicians earned 295 thousand dollars. The gender pay gap is even wider among specialist physicians with female specialists earning over 100 thousand U.S. dollars less than male counterparts.

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

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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.

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.

About this Dataset

Carefully curated list of “Surgeon / Doctor / Dentist” in USA. We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

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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.

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and CCGs in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December/January (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings and monthly NHS Staff Sickness Absence reports and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. Following feedback from data users, there will be a change to the HCHS doctor grades of 'Associate Specialist' and 'Specialty Doctor' in relevant tables in this publication series. Two new specialty doctor and specialist grades were introduced in April 2021 and both were reported in NHS Digital tables within the 'Specialty Doctor' grade. One of these new grades for specialist is more appropriately classified within the 'Associate Specialist' category in NHS Digital data tables. Therefore, from March 2022 these will be included within the 'Associate Specialist' category and removed from 'Specialty Doctor'. The March 2022 data in the Provisional statistics file in this publication reflects this new approach, and the time series for data back to April 2021 will be revised for these two categories in the full March 2022 publication, released in June 2022. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

In 2025, it took on average 41.8 days to get a non-urgent obstetrics-gynecology (OB-GYN) appointment (such as a "well-women" exam) in the United States. This was according to a survey of physicians offices in 15 major U.S. metropolitan areas. Wait time has more than doubled since 2013.

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.

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.