As of 2019, the distribution of selected healthcare professionals in the United State by race and ethnicity revealed deep disparities. During that year, the vast majority of healthcare workers in the US identified as white. For instance, only 11 percent of registered nurses were Black and roughly eight percent Hispanic.

In 2023, there were approximately 1.4 million persons employed in home health care services in the United States. This number has fluctuated since reaching a peak of 1.5 million in 2016. This statistic shows the number of persons employed in U.S. home health care services from 2000 to 2023.

In 2022, of the more than *** million home care workers in the United States, a third was white. Meanwhile, Black or African American accounted for another ** percent, and Hispanics made up another ** percent. Home care workers had a disproportionately high share of racial minorities.

The dataset contains estimates for the number of healthcare professionals in 15 different healthcare categories (e.g., Registered Nurse, Dentist, License Clinical Social Worker, etc.) based on completion of license renewal by Race/Ethnicity. There are two timeframes: all current licenses and recent licenses (since 2017). California population estimates are also included to provide a marker for each Race/Ethnicity. Each healthcare professional category can be compared across Race/Ethnicity groups and compared to statewide population estimates, so Race/Ethnicity shortages can be identified for each healthcare professional category. For instance, a notable difference between healthcare professional category and statewide population would indicate either underrepresentation or overrepresentation for that Race/Ethnicity, depending on the direction of the difference.

Graph and download economic data for All Employees, Health Care (CES6562000101) from Jan 1990 to Jun 2025 about health, establishment survey, education, services, employment, and USA.

Demographic information for healthcare workers (n = 319).

Diagnosis data of patients and patients in hospitals.

The hospital diagnosis statistics are part of the hospital statistics and have been collected annually from all hospitals since 1993. The statistics include information on the main diagnosis (coded according to ICD-10), length of stay, department and selected sociodemographic characteristics such as age, gender and place of residence, among others.

Basic data of hospitals and preventive care or rehabilitation facilities.

The basic data statistics are part of the hospital statistics. The material and personnel resources of hospitals and preventive or rehabilitation facilities and their specialist departments have been reported annually since 1990.

The aggregated data are freely accessible.

To estimate county of residence of Filipinx healthcare workers who died of COVID-19, we retrieved data from the Kanlungan website during the month of December 2020.22 In deciding who to include on the website, the AF3IRM team that established the Kanlungan website set two standards in data collection. First, the team found at least one source explicitly stating that the fallen healthcare worker was of Philippine ancestry; this was mostly media articles or obituaries sharing the life stories of the deceased. In a few cases, the confirmation came directly from the deceased healthcare worker's family member who submitted a tribute. Second, the team required a minimum of two sources to identify and announce fallen healthcare workers. We retrieved 86 US tributes from Kanlungan, but only 81 of them had information on county of residence. In total, 45 US counties with at least one reported tribute to a Filipinx healthcare worker who died of COVID-19 were identified for analysis and will hereafter be referred to as “Kanlungan counties.” Mortality data by county, race, and ethnicity came from the National Center for Health Statistics (NCHS).24 Updated weekly, this dataset is based on vital statistics data for use in conducting public health surveillance in near real time to provide provisional mortality estimates based on data received and processed by a specified cutoff date, before data are finalized and publicly released.25 We used the data released on December 30, 2020, which included provisional COVID-19 death counts from February 1, 2020 to December 26, 2020—during the height of the pandemic and prior to COVID-19 vaccines being available—for counties with at least 100 total COVID-19 deaths. During this time period, 501 counties (15.9% of the total 3,142 counties in all 50 states and Washington DC)26 met this criterion. Data on COVID-19 deaths were available for six major racial/ethnic groups: Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Native Hawaiian or Other Pacific Islander, Non-Hispanic American Indian or Alaska Native, Non-Hispanic Asian (hereafter referred to as Asian American), and Hispanic. People with more than one race, and those with unknown race were included in the “Other” category. NCHS suppressed county-level data by race and ethnicity if death counts are less than 10. In total, 133 US counties reported COVID-19 mortality data for Asian Americans. These data were used to calculate the percentage of all COVID-19 decedents in the county who were Asian American. We used data from the 2018 American Community Survey (ACS) five-year estimates, downloaded from the Integrated Public Use Microdata Series (IPUMS) to create county-level population demographic variables.27 IPUMS is publicly available, and the database integrates samples using ACS data from 2000 to the present using a high degree of precision.27 We applied survey weights to calculate the following variables at the county-level: median age among Asian Americans, average income to poverty ratio among Asian Americans, the percentage of the county population that is Filipinx, and the percentage of healthcare workers in the county who are Filipinx. Healthcare workers encompassed all healthcare practitioners, technical occupations, and healthcare service occupations, including nurse practitioners, physicians, surgeons, dentists, physical therapists, home health aides, personal care aides, and other medical technicians and healthcare support workers. County-level data were available for 107 out of the 133 counties (80.5%) that had NCHS data on the distribution of COVID-19 deaths among Asian Americans, and 96 counties (72.2%) with Asian American healthcare workforce data. The ACS 2018 five-year estimates were also the source of county-level percentage of the Asian American population (alone or in combination) who are Filipinx.8 In addition, the ACS provided county-level population counts26 to calculate population density (people per 1,000 people per square mile), estimated by dividing the total population by the county area, then dividing by 1,000 people. The county area was calculated in ArcGIS 10.7.1 using the county boundary shapefile and projected to Albers equal area conic (for counties in the US contiguous states), Hawai’i Albers Equal Area Conic (for Hawai’i counties), and Alaska Albers Equal Area Conic (for Alaska counties).20

This dataset presents statistics on the healthcare workforce in the State of Qatar for the year 2024. It categorizes health professionals by type (physicians, dentists, nurses) and sector (government and private), and provides metrics such as rate per 1,000 population, total number of professionals, and population per professional.These statistics are vital for assessing the availability, distribution, and adequacy of human resources in the healthcare sector. They support health system planning, workforce allocation, and policy development to ensure equitable access to medical services.

In 2017, the total number of healthcare workers in the United Arab Emirates (UAE) was approximately *** thousand. In comparison, the total number of healthcare workers was approximately ** thousand in 2013.

In 2020, Egypt registered ******* healthcare professionals in total, including dentists, pharmacists, human physicians, and nursing staff. Furthermore, there were *** times more public private healthcare professionals.

In this study, we investigated the perception of risk and the worries about COVID-19 infection in both healthcare workers and the general population in Italy. We studied the difference in risk perception in these two groups and how this related to demographic variables and psychological factors such as stress, anxiety, and death anxiety. To this aim, we administered an online questionnaire about COVID-19 together with other questionnaires assessing the psychological condition of participants. First, we found that the exposition to infection risk, due to living area or job, increased the perceived stress and anxiety (i.e., medical staff in North Italy was more stressed and anxious with respect to both medical- and non-medical participants from Center and South Italy). Then, we conducted hierarchical logistic regression models on our data to assess the response odds ratio relatively to each regressor on each dependent variable. We found that health workers reported higher risk perception, level of worry, and knowledge as related to COVID-19 infection compared to the general population. Psychological state, sex, and living area were less related to these factors. Instead, judgments about behaviors and containment rules were more linked to demographics, such as sex. We discussed these results in the light of risk factors for psychological distress and possible interventions to meet the psychological needs of healthcare workers.

This page leads to several types of statistics relating to health care and indemnity insurance, grouped by theme. Select the theme that interests you by clicking on it:

• Health care: Statistics on health care providers, cost for health care insurance, patient co-payment, prescriptions, etc.

• Allowances: Statistics on primary work incapacity, invalidity, maternity, birth leave, etc.

• Medical assessment and control: Statistics on the monitoring of health care providers and evaluation of medical practice.

• Administrative control: Statistics on the control of mutual funds and the fight against social fraud.

• Medications: Statistics and specific analyzes on drugs dispensed in public pharmacies: prescription, volume, cost for insurance, etc.

• Frontier workers: Statistics on frontier workers entering and leaving Belgium.

• People affiliated with a health insurance fund: Statistics on the number of people affiliated to a health insurance fund to benefit from healthcare and indemnity insurance in Belgium. Customize your search with our web program.

In 2023, there was one active barangay health worker (BHW) for about 98 people in the Philippines. The highest population-to-barangay health worker ratio was in the National Capital Region (NCR) with one active BHW for 768 residents. In contrast, both Region 8 and CARAGA had one active BHW catering to 49 residents.

In April 2020, a survey of healthcare workers in the United Kingdom (UK) found that majority are worried about their personal health as well as the health of those they live with during the coronavirus (COVID-19) outbreak. 28 percent of healthcare workers reported to be very worried about their personal health, while 37 percent were very worried about the health of those in their household.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Demographics and characteristics of the sample.

Japan JP: Nurses and Midwives: per 1000 People data was reported at 11.241 Ratio in 2014. This records an increase from the previous number of 10.797 Ratio for 2012. Japan JP: Nurses and Midwives: per 1000 People data is updated yearly, averaging 9.369 Ratio from Dec 1990 (Median) to 2014, with 14 observations. The data reached an all-time high of 11.753 Ratio in 2011 and a record low of 6.491 Ratio in 1990. Japan JP: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

In the last quarter of 2023, the number of health care professionals, including physicians, nurses, and other health specialists, amounted to around ******* people in Mexico. An increase of approximately ** percent compared to the number of health care professionals reported in the same quarter of the previous year. In 2020, the number of health care workers in Mexico peaked at over *** thousand people. The sudden decrease in personnel could be explained by the additional number of professionals hired for supporting exclusively during the pandemic, a diminished recertification of doctors, the level of COVID-19-related mortality among health care personnel, and difficult working conditions exacerbated by the sanitary crisis, among other mechanisms.

Introduction

Nursing Burnout Statistics: Nursing burnout has emerged as a significant global concern, characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. A 2023 meta-analysis encompassing 94 studies reported a global prevalence of nursing burnout at 30%, with variations across regions and specialties.

In the United States, a 2020 survey indicated that nearly 62% of nurses experienced burnout, with the rate rising to 69% among those under 25 years old. Similarly, a 2023 study found that 91.1% of nurses reported high levels of burnout, compared to 79.9% among other healthcare workers.

Contributing factors to this phenomenon include understaffing, extended work hours, and high patient-to-nurse ratios. The American Nurses Foundation reported in 2023 that 56% of nurses experienced burnout, with 64% feeling significant job-related stress. Moreover, 40% of nurses felt they had poor control over their workload, describing their daily work as hectic or intense.

Addressing nursing burnout necessitates systemic changes, including improved staffing, supportive work environments, and accessible mental health resources. Implementing such measures is crucial to safeguard both healthcare providers and patients.

Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.

Provisional monthly uptake data for seasonal influenza and COVID-19 vaccines for frontline HCWs working in trusts, Independent Sector Healthcare Providers (ISHCPs), and GP practices in England.

Data is presented at national, NHS regional and individual trust levels.

View the pre-release access list for these reports.