In 2022, roughly three in ten surveyed physicians worked in medical practices that were fewer than **** physicians in size. Another *** in ten physicians were in practices of **** to *** physicians, while **** percent were in practices with ** or more physicians. On the other hand, *** in ten physicians surveyed were directly employed or contracted by a hospital. U.S. physicians The number of active doctors of medicine in the U.S. has increased dramatically in the past 50 years. Currently, there are over ********* active doctors in the United States. Among all U.S. states, **********, followed by ********, was the state with the highest number of active physicians. It is estimated that there will be a deficit of over *** thousand physicians by 2030. Medical practices Many sources indicate that physicians are moving away from private practice and into practices owned by hospitals or medical groups. In 2022, a ******** of physicians were practice owners, partners or associates and over **** of physicians were employed by someone else. In the same year, a majority of U.S. physicians said that they are at full capacity or overworked within their practices while only *** ***** of physicians indicated that they had time to see more patients.

Graph and download economic data for Producer Price Index by Industry: Offices of Physicians, Except Mental Health: One and Two Physician Practices and Single Specialty Group Practices (PCU6211116211114) from Dec 1993 to Jun 2025 about physicians, health, PPI, industry, inflation, price index, indexes, price, and USA.

The Physician and Physician Practice Research Database (3P-RD) captures characteristics of physicians and physician practices in 13 states. The database describes the supply of physician services available across selected states for data year 2019-2020.

Over the decade between 2012 and 2022, the share of physicians who worked in a solo practice in the United States has decreased, while multi-specialty groups has increased. In 2022, approximately ** percent of surveyed U.S. physicians worked in a solo practice. Conversely, about ** percent worked in multi-specialty groups, which has increased from ** percent in 2012.

This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.

Employment statistics on the Medical Group Practice Management industry in the US

[IMPORTANT NOTE: Sample file posted on Datarade is not the complete dataset, as Datarade permits only a single CSV file. Visit https://www.careprecise.com/healthcare-provider-data-sample.htm for more complete samples.] The APD is the only physician database with this deep pool of data, available for immediate download in Microsoft Access format and CSV files, for use with spreadsheet, database or CRM software on Windows PC, Mac or Linux.:

100% of HIPAA-covered U.S. MD and DO physicians Their practice groups, with group size Independent practice indicator Sole proprietor indicator Their hospital affiliations All reported specialties, including the primary Years in practice Medical school attended Phone and fax numbers Rural/Urban practice indicator Practice and Mailing addresses Gender Current LEIE sanctions License Medicare practice PAC ID C-suite and director-level contacts for physician groups and hospitals Exclusive CoLoCode™ linkage between physicians practicing together and their group NPI records

United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Medicaid Patients: Multispecialty Group Practice was 75.60000 Index Jun 2014=100 in March of 2018, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Medicaid Patients: Multispecialty Group Practice reached a record high of 100.00000 in July of 2014 and a record low of 71.20000 in April of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Medicaid Patients: Multispecialty Group Practice - last updated from the United States Federal Reserve on July of 2025.

The Revalidation Clinic Group Practice Reassignment dataset provides information between the physician and the group practice they reassign their billing to. It also includes individual employer association counts and the revalidation dates for the individual physician as well as the clinic group practice. 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.

Graph and download economic data for Producer Price Index by Industry: Offices of Physicians, Except Mental Health: Multispecialty Group Practice (PCU6211116211115) from Dec 1993 to Jun 2025 about physicians, health, PPI, industry, inflation, price index, indexes, price, and USA.

Background A practice intervention must have its basis in an understanding of the physician and practice to secure its benefit and relevancy. We used a formative process to characterize primary care physician attitudes, needs, and practice obstacles regarding primary prevention. The characterization will provide the conceptual framework for the development of a practice tool to facilitate routine delivery of primary preventive care. Methods A focus group of primary care physician Opinion Leaders was audio-taped, transcribed, and qualitatively analyzed to identify emergent themes that described physicians' perceptions of prevention in daily practice. Results The conceptual worth of primary prevention, including behavioral counseling, was high, but its practice was significantly countered by the predominant clinical emphasis on and rewards for secondary care. In addition, lack of health behavior training, perceived low self-efficacy, and patient resistance to change were key deterrents to primary prevention delivery. Also, the preventive focus in primary care is not on cancer, but on predominant chronic nonmalignant conditions. Conclusions The success of the future practice tool will be largely dependent on its ability to "fit" primary prevention into the clinical culture of diagnoses and treatment sustained by physicians, patients, and payers. The tool's message output must be formatted to facilitate physician delivery of patient-tailored behavioral counseling in an accurate, confident, and efficacious manner. Also, the tool's health behavior messages should be behavior-specific, not disease-specific, to draw on shared risk behaviors of numerous diseases and increase the likelihood of perceived salience and utility of the tool in primary care.

28 November 2019. Following an investigation into the GP locum data within this collection, we revised the full-time equivalent (FTE) GP locum figures from September 2015 to December 2016 in the General Practice Workforce September 2019 publication. This follows updates made to the figures from September 2015 to December 2018 as a result of several revisions we made to our data processing and methodology following consultation with users and stakeholders. December 2017, September 2018 and December 2018 figures were published in the first installment of this publication on 21 February, and in a planned revision of the publication, the remaining historical figures from September 2015 to December 2018 were published 25 April. The figures produced under this new methodology were not comparable with any previously published figures, and the GP locum FTE figures in this publication are no longer valid as they have now been superseded by the revised figures. More information and the revised figures can be found on the General Practice Workforce September 2019 publication page at https://digital.nhs.uk/data-and-information/publications/statistical/general-and-personal-medical-services/final-30-september-2019. This quarterly report presents data about GPs, Nurses, Direct Patient Care and Admin/Non-Clinical staff working in General Practice in England, along with information on their patients, practice and the services they provide. Various data breakdowns are available in the accompanying Excel and CSV files, including time series and breakdowns by categories such as age and gender. Data is also presented regionally, and at practice level for December 2018, in the accompanying CSVs. Links to other publications presenting healthcare workforce information can be found under Related Links. On 22.02.2019 some figures in tables 6a and 6b (for each staff group) were updated to align with the latest regional hierarchies.

This data collection contains information on the practices of young internists in order to understand the determinants of different practice styles, especially the relationship between training and practice, and to compare the practices of four groups of physicians: (1) general internists with traditional residencies, (2) general internists who received their residency training in special primary care tracks, (3) family physicians, and (4) subspecialty internists. The study queried a national sample of residents and fellows who were in training during 1976-1977 about their current positions, activities, patients, physician-patient relationships, family backgrounds, and educational training histories. Patients of these doctors were also surveyed. Demographic characteristics, such as age, sex, race, educational level, work status, marital status, and income, were recorded for the patient respondents. Background information on physicians includes family, educational history, and income.

This study was undertaken for the purpose of providing baseline national indicators of access to health care for an evaluation of a program of hospital-based primary care group practices funded by the Robert Wood Johnson Foundation. The main objective of that large-scale social experiment was to improve access to medical care for the population in areas served by the groups. The access framework and questionnaires designed for the study were developed to provide empirical indicators of the concept that could be used to monitor progress toward this objective. Five data collection instruments were used by the study: the Household Enumeration Folder, the Main Questionnaire, the Health Opinions Questionnaire, the Physician Supplement, and the Hospital/Extended Care Supplement. The Household Enumeration Folder collected basic demographic information on all household members and served as a screener for the episode of illness and minority oversamples. The Main Questionnaire collected information on disability, symptoms of illness, episodes of illness, socioeconomic and demographic characteristics, and access to health care: sources of medical care utilized, problems associated with access to sources of care (e.g., transportation, parking, waiting time for an appointment), satisfaction with medical services received, utilization of medical diagnostic procedures, dental care, and eye care, and insurance coverage and out-of-pocket expenditures for health care. Respondents' opinions concerning the medical care that they received were gauged by the Health Opinions Questionnaire. The Physician Supplement and the Hospital/Extended Care Supplement collected information on physicians contacted and facilities utilized in connection with reported episodes of illness. File 1, File 2, and File 3 constitute the data files for this collection. File 1 comprises data from the Household Enumeration Folder, the Main Questionnaire, and the Health Opinions Questionnaire, plus variables from secondary sources, such as characteristics, derived from the American Medical Association Physician Masterfile, of physicians named as caregivers by respondents, and medical shortage data, from various sources, for the respondent's county of residence. File 2 contains the data from the Physician Supplement, while File 3 provides the data collected by the Hospital/Extended Care Supplement.

According to surveyed physicians in the U.S. in 2024, single specialty group physicians were compensated the highest, averaging over *** thousand U.S. dollars annually. This was followed by physicians working in multi-specialty groups and solo practices, receiving an annual compensation of around ***** and ***** thousand U.S. dollars, respectively. On the other hand, physicians working in urgent care centers earned the least.

GP Practices making up each Clinical Commissioning Group, Care Trust, Local Health Boards in Wales (or old style Primary Care Group for closed GP Practices).

Contains:

A mapping of GP Practice codes to the relevant health trust which is responsible for their area; the now obsolete Primary Care Groups and Primary Care Trusts for some closed practices, Clinical Commissioning Groups or Care Trusts for English practices, and Local Health Boards for Welsh

practices.

This statistic is based on a survey and provides a portrait of an average physician in the United States, as of 2018. As of that year, the average physician worked about 51 hours per week and 51 percent would not recommend medicine as a career.

Physicians in the U.S.

The characteristics defining a U.S. physician may vary greatly across the country. About 58 percent are employed at a hospital or with a medical group, while about 31 percent are employed at a private practice. Physician compensation can also vary widely based on medical specialty. Those in orthopedics earn about 497,000 U.S. dollars annually, while a physician in critical care earns about 354,000 U.S. dollars per year. As of 2018, California had the largest number of active specialist physicians, totaling 56,220 physicians.

About 51 percent of physicians would not recommend medicine as a career, where about 55 percent state that morale is very or somewhat negative due to stressors. About 54 percent of physicians in the country have stated that they have experienced burnout as of 2014. There has been an increased number of stressors such as the lack of a single payer system that has contributed to extensive insurance paper work and a decrease in independence for many physicians as hospitals purchase more private practices. Many, about 80 percent, also state that their workload is at their capacity or even overextended. Only about 11 percent of physicians spend 25 minutes or more with their patients.

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.

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.

This data collection evaluates group medical practices and the ways in which they affect both access to and use of medical services. Group practices, sponsored by the Robert Wood Johnson Foundation Community Hospital Program (CHP), were selected for use in this assessment. The data were collected by the Center for Health Administration Studies at the University of Chicago, with the assistance of Chilton Research Services. Two surveys were conducted for the study: a baseline survey in 1978-1979 and a follow-up in 1981. Community residents and CHP patients in 12 communities were interviewed. Demographic and medical care data were collected for selected individuals and families in the survey areas. Data on regular sources of medical care for individuals include the type of organization used, type of practice, accessibility, frequency of visits, types of health care professionals seen, cost, and satisfaction. Also in the collection are data on perceived health, episodes of illness (including symptoms, duration, disability days, and doctors consulted), use of preventive health care services, and insurance coverage. Demographic data for individuals and families include age, sex, race, educational attainment, employment, and income. Of the 198 files in this collection, 88 are "raw" data files and 110 are frequencies. The data files consist of four types. The first type are Sample Person files. These contain the responses of group practice patients and community members. The second type are Doctor Episode files, which record doctors and episodes of illness. Family files make up the third type of file, and consist of family members' responses to the survey. Analysis files, linking patient and doctor data, are the fourth type of file. The SPSS frequency files correspond to the data files: two per file for the Sample Person files, and one per file for the remaining three types of files.