As of 2023, roughly one in 15 active physicians in the United States were Hispanic (regardless of race). Asians were overrepresented, accounting for nearly one in 5 physicians in the U.S., while Asians made up just 6.3 percent of the total U.S. population.

This statistic shows the results of a survey regarding U.S. physicians' average annual compensation, as of 2025, by race and ethnicity. According to the survey, white/Caucasian physicians earned an average annual income of ******* U.S. dollars, much higher than ******* U.S. dollars earned on average by African American/Black doctors. The difference in the average incentive bonuses between ethnicity/racial groups were even higher.

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

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.

In 2023, around ** 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.

As of August 2023, some ** 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.

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 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.

The number of male physicians outnumbers female physicians in the U.S. in most specialties. The only major exceptions are found in pediatrics, child and adolescent psychiatry, obstetrics and gynecology, although female physicians do slightly outnumber males in a few other specialties. As of 2021, there were around 68,400 male family medicine/general practice physicians compared to 50,000 women in this specialty. Physicians in the U.S. Both the number of doctors and rate of doctors in the U.S. have increased over the years. As of 2021, there were around 946,800 active doctors of medicine in the U.S. This was around 29.9 physicians per 10,000 civilian population. In 1995, this rate stood at 24.2 physicians per 10,000 population. Physicians by state The states with the highest overall number of active physicians are California, New York, Texas, and Florida. However, the states with the highest rate of physicians per 10,000 civilian population include Massachusetts, Rhode Island, and Maryland. The District of Columbia has the highest rate of physicians by a large margin, with around 74.6 physicians per 10,000 population. The state with the highest annual compensation for physicians is Oklahoma, where physicians earn an annual average of 337,000 dollars.

Some racial and ethnic categories are suppressed for privacy and to avoid misleading estimates when the relative standard error exceeds 30% or the unweighted sample size is less than 50 respondents.

Data Source: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey (BRFSS) Data

Why This Matters

Regular visits to the doctor can catch health issues early when they're easier and cheaper to treat, but millions of Americans lack access to primary care services, such as routine checkups.

Gaps in access to primary care often stem from factors like lack of health insurance, language and transportation barriers, and a shortage of healthcare providers in different areas, which can prevent people from getting regular check-ups and timely treatment.

Racial inequities in health insurance rates remain barriers to regular, high-quality medical care. Nationally, residents who identify as Hispanic or Native American and Alaska Natives are roughly three times as likely to be uninsured compared to White and Asian residents.

The District Response

DC Healthy Families offers free health insurance to DC residents who meet certain income and U.S. citizenship or eligible immigration status to qualify for DC Medicaid.

The School Health Services Program brings healthcare providers to schools to help bridge the gap between health and learning. This allows us to reach our youngest residents who might not otherwise have access to medical evaluations.

Living Well DC provides a guide for visiting the doctor that can help ease the stress around such a visit.

Purpose: To determine if medical students of different races/ethnicities or genders have different perceptions of bias in the United States (US). Methods: An IRB-approved, anonymous survey was sent to US medical students from November 2022 through February 2024. Students responded to statements regarding perceptions of bias toward them from attendings, patients, and classmates. Chi-square tests, or Fisher’s exact tests, when appropriate, were used to calculate if significant differences exist among genders or races/ethnicities in response to these statements. Results: 370 students responded to this survey. Most respondents were women (n=259, 70%), and nearly half were White (n=164, 44.3%). 8.5% of women agreed that they felt excluded by attendings due to their gender, compared to 2.9% of men (p=0.018). 87.5% and 73.3% of Hispanic and Black students agreed that bias due to race negatively impacted research opportunities compared to 37.2% of White students (p<0.001). 87% and 85.7% of W..., This data was collected through Google Forms, and respondents were asked to log in with their email addresses to make sure that they could only submit their responses once. Data was processed in R studio., , # Experiences of US medical students - a national survey

https://doi.org/10.5061/dryad.cz8w9gjbq

This dataset contains responses to an anonymous, IRB-approved survey sent to medical students across the country. The survey included demographic information and students' responses to various questions regarding their medical school experience.Â

Description of the data and file structure

The data is structured so that each row is an individual response. A researcher could analyze the data to see what demographic factors are related to various survey responses.Â

There are certain questions on the survey that respondents could respond "NA" to if the question did not apply to them. For example, the last question on the survey asks,

...

Despite decades of low utilization, telemedicine adoption expanded at an unprecedented rate during the COVID-19 pandemic. This study examined quantitative and qualitative data provided by a national online sample of 228 practicing physicians (64% were women, and 75% were White) to identify facilitators and barriers to the adoption of telemedicine in the United States (U.S.) at the beginning of the COVID-19 pandemic. Logistic regressions were used to predict the most frequently endorsed (20% or more) barriers and facilitators based on participant demographics and practice characteristics. The top five reported barriers were: lack of patient access to technology (77.6%), insufficient insurance reimbursement (53.5%), diminished doctor-patient relationship (46.9%), inadequate video/audio technology (46.1%), and diminished quality of delivered care (42.1%). The top five reported facilitators were: better access to care (75.4%), increased safety (70.6%), efficient use of time (60.5%), lower cost for patients (43%), and effectiveness (28.9%). Physicians’ demographic and practice setting characteristics significantly predicted their endorsement of telemedicine barriers and facilitators. Older physicians were less likely to endorse inefficient use of time (p < 0.001) and potential for medical errors (p = 0.034) as barriers to telemedicine use compared to younger physicians. Physicians working in a medical center were more likely to endorse inadequate video/audio technology (p = 0.037) and lack of patient access to technology (p = 0.035) as a barrier and more likely to endorse lower cost for patients as a facilitator (p = 0.041) than providers working in other settings. Male physicians were more likely to endorse inefficient use of time as a barrier (p = 0.007) than female physicians, and White physicians were less likely to endorse lower costs for patients as a facilitator (p = 0.012) than physicians of color. These findings provide important context for future implementation strategies for healthcare systems attempting to increase telemedicine utilization.

Comprehensive demographic dataset for Doctors Inlet, Middleburg, FL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The US Healthcare Visits Statistics dataset includes data about the frequency of healthcare visits to doctor offices, emergency departments, and home visits within the past 12 months in the United States by age, race, Hispanic origin, poverty level, health insurance status, geographic region and other characteristics between 1997 and 2016.

Comprehensive demographic dataset for Doctors Lake Estates, , FL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This data was downloaded from the Cuban website in March of 2008. All missing data is represented as -1. The selection of data for different years varies. The National Center of Statistics and the National Center of Information of Medical Sciences offer health statistics corresponding to the years 1995, 1996, 1997, 1998, 1999 , 2000 , 2001 , 2002 , 2003 , 2004, 2005 y 2006. The documents contain an important volume of statistical information about the fundamental components of the state of health of the Cuban population, resources, services, and the training of qualified personal. This has been published for 23 consecutive years. The indicators presented come from the following information sources: * Demographic publications from the National Office of Statistics * System of Information of National Statistics * system of Information of Statistics about the health sector * Direction of ambulatory attention (referencing family doctors) * National direction of Teaching (doctors and dentists in residence) * Registry of health professionals

In 2024, around ** percent of white adults in the United States had doctor-diagnosed arthritis in some form. This statistic displays the prevalence of doctor-diagnosed arthritis in the adult population in the United States from 2019 to 2024, by race.

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US Durable Medical Equipment Market Size 2024-2028

The US durable medical equipment market size is forecast to increase by USD 18.63 billion, at a CAGR of 5.6% between 2023 and 2028.

The Durable Medical Equipment (DME) market in the US is experiencing significant growth, driven by the expanding geriatric population and increasing patient preference for at-home medical treatment. The aging demographic trend is fueling demand for DME as the elderly population often requires more medical equipment and supplies to maintain their health and independence. Furthermore, the convenience and cost savings associated with at-home care are leading more patients to opt for DME solutions instead of institutionalized care. However, the DME market faces challenges that could hinder its growth. The high cost of durable medical equipment is a significant obstacle, making it difficult for some patients to afford necessary devices. Popular categories within the DME market include power scooters, oxygen equipment, walkers, wheelchairs, hospital beds, catheters, support braces, CPAP masks, and various other medical devices used in the treatment of conditions such as cancer and cardiac disorders.
Additionally, regulatory compliance and reimbursement policies pose challenges for market participants, requiring them to navigate complex regulations and ensure proper documentation to secure payment for their products and services. Companies seeking to capitalize on market opportunities must address these challenges by offering affordable pricing models, focusing on regulatory compliance, and providing exceptional customer service to ensure patient satisfaction and repeat business.

What will be the size of the US Durable Medical Equipment Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The Durable Medical Equipment (DME) market in the US is characterized by a focus on medical device safety, quality assurance systems, and regulatory compliance. Patient education materials and risk management strategies are essential components of ensuring safe and effective use of DME. Medical device testing and data privacy regulations play a critical role in maintaining trust with patients and healthcare providers. Wearable medical sensors and device interoperability are driving innovation in the DME sector, enabling better patient outcome measures and value-based healthcare. Medical equipment rental, including oxygen concentrators and home infusion therapy, offers cost-effective solutions for patients requiring long-term care.
Supply chain efficiency and infection control measures are key priorities for DME providers, with performance improvement initiatives and clinical documentation essential for maintaining regulatory compliance. Assistive technology, such as insulin pumps and wheelchair technology, is transforming the way patients manage their conditions at home. Medical device repair and cost-effectiveness studies are important considerations for healthcare providers seeking to optimize their DME investments. CPAP machines, enteral feeding pumps, bariatric equipment, and hospital bed systems are all subject to ongoing research and development to improve performance and patient satisfaction. Pressure ulcer prevention and medication adherence are critical areas of focus for DME providers, with equipment tracking systems and infection control measures essential for maintaining patient safety and quality of care.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product Type

  Monitoring and therapeutic devices
  Personal mobility devices
  Bathroom safety devices and medical furniture


End-user

  Hospitals and clinics
  Home healthcare
  Ambulatory surgical centers


Geography

  North America

    US

By Product Type Insights

The monitoring and therapeutic devices segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving landscape of medical devices, various sectors are experiencing significant growth and innovation. Orthopedic implants continue to advance, offering improved patient outcomes through enhanced materials and design. Data analytics in healthcare is revolutionizing diagnostics and treatment plans, enabling more personalized care. Sleep apnea therapy devices are gaining traction, addressing the growing prevalence of sleep disorders. Equipment lifecycle management is increasingly important, ensuring optimal performance and reducing healthcare costs. Diagnostic imaging devices, from MRI to CT scans, are essential tools in early detection and tre

A 2021 survey revealed that ******* of Black individuals in the U.S. preferred having a Black doctor for their routine care. However, most respondents stated that having a Black physician made no difference to them.

Abstract (en): The purpose of the Health Interview Survey is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. There are five types of records in this core survey, each in a separate data file. The variables in the Household File (Part 1) include type of living quarters, size of family, number of families in the household, presence of a telephone, number of unrelated individuals, and region. The Person File (Part 2) includes information on sex, age, race, marital status, Hispanic origin, education, veteran status, family income, family size, major activities, health status, activity limits, employment status, and industry and occupation. These variables are found in the Condition, Doctor Visit, and Hospital Episode Files as well. The Person File also supplies data on height, weight, bed days, doctor visits, hospital stays, years at residence, and region variables. The Condition File (Part 3) contains information for each reported health condition, with specifics on injury and accident reports. The Hospital Episode File (Part 4) provides information on medical conditions, hospital episodes, type of service, type of hospital ownership, date of admission and discharge, number of nights in hospital, and operations performed. The Doctor Visit File (Part 5) documents doctor visits within the time period and identifies acute or chronic conditions. A sixth file has been added, along with the five core files. The Health Insurance File (Part 6) documents basic demographic information along with medical coverage and health insurance plans, as well as differentiates between hospital, doctor visit, and surgical insurance coverage. Civilian, noninstitutionalized population of the United States. A multistage probability sample was used in selecting housing units. 2010-09-30 Frequencies and variable labels that were previously incorrect have been corrected.2010-09-09 A technical error has been found and resolved in the processing procedure, in which defined file sets did not match subsequent data sets.2010-09-02 SAS, SPSS, and Stata setup files have been added. Some corresponding documentation has been updated and pre-existing data files have been replaced. A sixth dataset has been added in place of the National Health Survey Procedure Documentation, which can now be found with all other corresponding and added documentation.2006-01-18 File CB8337.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. face-to-face interviewThese data files contain weights that must be used in any analysis.Per agreement with NCHS, ICPSR distributes the data files and text of the technical documentation for this collection as prepared by NCHS.