As of 2021, roughly one in 14 active physicians in the United States were Hispanic (regardless of race). Asians were overrepresented, accounting for one in five physicians in the U.S., while Asians made up just seven percent of the total U.S. population.

This statistic shows the results of a survey regarding U.S. physicians' average annual compensation, as of 2024, by race and ethnicity. According to the survey, white/Caucasian physicians earned an average annual income of 369,000 U.S. dollars, much higher than 332,000 U.S. dollars earned on average by African American/Black doctors.

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 ethnicity. It was found that 20 percent or Black or African American respondents and 19 percent of Hispanic American or Latino respondents had no check-ups with a doctor in the past year.

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

In 2025, roughly 395 thousand doctors were registered in the United Kingdom (UK). Of these, around 180 thousand were white, while the largest ethnicity of UK doctors other than white was Asian or Asian British. Some 129 thousand doctors reported so. This is unsurprising considering the most common foreign country of medical qualification is India, followed by Pakistan. As of 2024, there were more doctors of ethnic minorities than white doctors in the UK.

Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. Data for 2017 physician office visits are not available. SOURCE: NCHS, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. For more information on the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entries at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

In 2023, around 38 percent of Hispanic men in the United States stated they had no personal doctor or health care provider. This statistic shows the percentage of men in the U.S. who reported having no personal doctor or health care provider in 2023, by race and ethnicity.

This dataset tracks annual two or more races student percentage from 2021 to 2023 for Doctors Charter School Of Miami Shores vs. Florida and Miami-Dade School District

Demographics includes age, race, gender, geography and other demographic variables describing the study sample.

In 2021, 68 percent of respondents who identified as Hispanic mentioned that they had some level of trust in their physicians. In general, people of color in the U.S. were less likely to completely or somewhat trust their physicians in comparison to white Americans.

US population estimates by race/ethnicity and sex based on Census data.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Doctors Inlet Elementary School vs. Florida and Clay School District

Doctor checkup past 12 months by sex, race/ethnicity, and grade, California Healthy Kids Survey, 2015-16METADATA:Notes (String): Lists table title, sourceYear (String): Year of surveyCategory (String): Lists the category representing the data: Santa Clara County is for total surveyed population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and grade level (7th, 9th, 11th, or non-traditional).Percent (Numeric): Percentage of middle and high school students who had a doctor checkup in the past 12 months

As of August 2023, some 30 percent of Black U.S. adults mentioned that they only sometimes trust doctors or other health care providers. While a further three percent mentioned that they do not trust health care providers. However, nearly seven out of ten U.S. adults across all racial groups indicated that they trust doctors and other health care providers all or most of the time to do what is right for them and their community.

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.

This special topic poll, fielded May 19-22, 1997, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. The focus of this data collection was men's and women's health issues. Respondents were asked about health-related topics such as what they thought was the leading cause of death for women, the perceived differences in men's and women's health and their interactions with their doctors, what they thought were the most serious diseases or medical problems facing the country, and whether they thought the federal government spends more money researching health problems as they relate to men or more money researching health problems as they relate to women. Female respondents were polled on whether a doctor had ever discussed mammograms with them, whether they ever had a mammogram, how trustworthy, safe, and painful mammograms were, at which age women should begin getting mammograms, and how often they conducted breast self-examinations. All respondents were asked whether they tried alternative medicine, whether they had considered trying alternative medicine, and whether they would choose alternative medicine instead of traditional medicine. A series of questions were asked about the type of interactions respondents had with their doctors such as whether respondents felt intimidated by their doctors, how comfortable respondents felt asking their doctors a lot of questions, whether respondents thought their doctors spoke down to them, and whether respondents usually call their doctors by their first name. Respondent's views were also sought on other topics such as the respondent's state of health, menopause, and hormone replacement therapy. Demographic variables included sex, age, race, education level, employment status, presence of children and teenagers in the household, household income, marital status, political party affiliation, political philosophy, type of residential area (e.g., urban or rural), and religious preference.

Demographic characteristics showing validation cohort participant gender, age, race, ethnicity and subspecialty (n = 996).

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Legacy Of Dr Josie R Johnson Montes vs. Minnesota and Legacy Of Dr Josie R Johnson Montes School District

Population 26 years and over Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in Doctor Phillips, Florida by age, education, race, gender, work experience and more.

In the African region, female physicians accounted for only 28 percent of all physicians. This was in contrast to the European region where 53 percent of physicians were female. The statistic shows the gender distribution of physicians worldwide from 2000 to 2018, by region.