This dataset contains statistically weighted estimates of initial education levels, highest education levels, and initial education locations for 43 key health workforce professions actively licensed in California as of July 1st, 2023. These metrics can be compared by workforce category, license type, time since license issue date (in years), race & ethnicity group, assigned sex at birth, and CHIS region.
This dataset contains statistically weighted estimates of the Race & Ethnicity of 47 key health workforce professions actively licensed in California as of July 1st, 2023. These metrics can be compared by workforce category, license type, time since license issue date (in years), and CHIS region.
The Washington State Department of Health presents this information as a service to the public. This includes information on the work status, practice characteristics, education, and demographics of healthcare providers, provided in response to the Washington Health Workforce Survey. This is a complete set of data across all of the responding professions. The data dictionary identifies questions that are specific to an individual profession and aren't common to all surveys. The dataset is provided without identifying information for the responding providers. More information on the Washington Health Workforce Survey can be found at www.doh.wa.gov/workforcesurvey This dataset has been federated from https://data.wa.gov/Health/Washington-Health-Workforce-Survey-Data/cvrw-ujje.
This dataset contains statistically weighted estimates of the languages spoken by 47 key health workforce professions actively licensed in California as of July 1st, 2023. These metrics can be compared by US Census Bureau language group, workforce category, license type, time since license issue date (in years), and CHIS region.
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This is an overview document covering the Healthcare Workforce as at March 2019 and refers to numbers of staff in three areas: i) Those directly employed by the NHS in Hospital and Community Health Services (HCHS) ii) GPs and their staff iii) A proportion of the staff working in Independent Healthcare Providers (see key facts below). More information on all of these areas are available within the accompanying documents and also via the 'Related Links' section below. This includes a link to the Independent Healthcare Provider Workforce report. We are now reviewing the content, format and purpose of this publication and welcome your feedback. In particular we are considering whether it would be useful to provide something more like a data hub to help guide users around the workforce publications including interactive visualisations rather than continuing with the current publication. Please email us with your comments and suggestions, clearly stating Healthcare Workforce Statistics as the subject heading, via enquiries@nhsdigital.nhs.uk
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Users can view cross-nationally comparable data on the health workforce in the 193 WHO member states. Background The Global Atlas of the Health Workforce is a database maintained by the World Health Organization (WHO). This database allows users to view cross-nationally comparable data on the health workforce in the 193 WHO member states. Health workforce statistics includes the number or density of physicians, nurses, midwives, dentists, pharmacists, laboratory workers, community health workers, and public health workers. User Functionality Users can generate sta tistics pertaining to the health workforce. Users can view information by country, international region, or world, and choose a time period for which they are interested in viewing health workforce statistics. Aggregated and disaggregated data are available. In addition, users can view regional summaries of the health workforce. Data Notes The Global Atlas of the Health Workforce is updated periodically. Data are available for 1995-2011. Data are derived from national population censuses, labor force and employment surveys, health facility assessments, and official country reports to the WHO. Regional and country summaries are available.
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.
In a historical and developmental sense, the former one-year reporting on employees employed in healthcare grew during 1990/91. in the continuous collection and monitoring of data through the state Register of Health Professionals. The department maintains data on all healthcare workers and healthcare associates, and on administrative and technical staff for now only numerically, according to the number of permanent employees at the end of the year. In the future, it is intended to register employees who are not health-oriented and work in healthcare, and healthcare professionals who work outside the healthcare system can also be registered.
Data on health workers and health care associates are required to be submitted not only by state and county-owned health institutions, but also by all private institutions, health workers who independently perform private practice, as well as trading companies for the performance of health activities, regardless of whether they have a contract with the Croatian Institute for health insurance.
All employees are assigned a registration number (code) upon entry into the Registry's database on the day of employment. The connection with the Croatian Health Insurance Institute exists through the use of the registration number when registering, recognizing within the CEZIH system, as well as when registering prescriptions, referrals and other documents of the HZZO. that is, in monitoring and building the health information system.
As an integral part of the same, relational databases also include data on health organizational units, representing the Register of Health Institutions. Namely, in addition to data on employees, the Registry, based on the decision of the Ministry of Health on work authorization, also records basic data on health institutions, surgeries and all other types of independent health units, regardless of the contract with the Croatian Health Insurance Institute or the type of ownership. As for employees, received data on the opening, closing, change of name, address, type and activity of the health organizational unit is also updated daily.
Thus, the organizational structure of healthcare is monitored through the database, according to levels of healthcare, types of healthcare institutions, healthcare activities performed by institutions, divisions with regard to the type of ownership as well as territorial distribution.
In addition to the importance of data on human potential and space, that is, the units where health care is provided, medical equipment is also an important factor in management and planning. One part of the department's work is related to the collection of data on this material resource. In the near future, it is planned to form a Register of Medically Expensive Equipment, which would be technologically and functionally connected with the existing two registers into a whole register of resources in healthcare.
Also, the statistical research aims to include those entities that are not part of the health system, and in which health workers work, i.e. health activities are performed, such as long-term care homes, which means expanding the existing data of the Register of Health Institutions.
In the last decade, a new IT application of the Registry of Health Care Professionals was created and an even better connection with the Croatian Institute for Health Insurance, for example through the use of the so-called population register or the register of insured persons. The register continues to be the source of data and the authorized institution for the delivery of data to international bodies such as the WHO and the joint WHO/Eurostat/OECD database. Within the scope of the Department's activities are also activities in international initiatives and programs, and with regard to the problems of statistical monitoring, shortages and planning of health workers. Since 2012, we have been involved in the implementation of the "Global Code of Practice on International Recruitment of Health Personnel", a recommendation that is also an instrument in the regulation, improvement and establishment of standards in the migration process.
In the same year, the Department was involved in the work in the part of the program platform on the topic of Joint Action on European Health Workforce Planning and Forecasting.
Also, during the past years, there has been cooperation on the topic of health workers within the framework of the South-eastern Europe Health Network (SEEHN).
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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.
This dataset tracks the updates made on the dataset "Washington Health Workforce Survey Data" as a repository for previous versions of the data and metadata.
Partners in Information Access for the Public Health Workforce (PHPartners) is a web portal and current awareness service of information for the public health workforce. Alerts the communities to meetings, webinars, new web-born reports (analyses, statistics), datasets, and general news. Currently contains over 4,000 items. This resource was retired on September 14, 2021 and is no longer updated.
The Department of Health Professions Healthcare Workforce Data Center works to improve the data collection and measurement of Virginia’s healthcare workforce through regular assessment of workforce supply and demand issues among the over 62 professions and the over 500,000 practitioners licensed in Virginia by DHP. DHP healthcare workforce data is provided online to ensure accessibility of the findings among healthcare decision makers, hospital systems, academic institutions and constituents statewide.
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📌**Context**
The Healthcare Workforce Mental Health Dataset is designed to explore workplace mental health challenges in the healthcare industry, an environment known for high stress and burnout rates.
This dataset enables users to analyze key trends related to:
💠 Workplace Stressors: Examining the impact of heavy workloads, poor work environments, and emotional demands.
💠 Mental Health Outcomes: Understanding how stress and burnout influence job satisfaction, absenteeism, and turnover intention.
💠 Educational & Analytical Applications: A valuable resource for data analysts, students, and career changers looking to practice skills in data exploration and data visualization.
To help users gain deeper insights, this dataset is fully compatible with a Power BI Dashboard, available as part of a complete analytics bundle for enhanced visualization and reporting.
📌**Source**
This dataset was synthetically generated using the following methods:
💠 Python & Data Science Techniques: Probabilistic modeling to simulate realistic data distributions. Industry-informed variable relationships based on healthcare workforce studies.
💠 Guidance & Validation Using AI (ChatGPT): Assisted in refining dataset realism and logical mappings.
💠 Industry Research & Reports: Based on insights from WHO, CDC, OSHA, and academic studies on workplace stress and mental health in healthcare settings.
📌**Inspiration**
This dataset was inspired by ongoing discussions in healthcare regarding burnout, mental health, and staff retention. The goal is to bridge the gap between raw data and actionable insights by providing a structured, analyst-friendly dataset.
For those who want a ready-to-use reporting solution, a Power BI Dashboard Template is available, designed for interactive data exploration, workforce insights, and stress factor analysis.
📌**Important Note** This dataset is synthetic and intended for educational purposes only. It is not real-world employee data and should not be used for actual decision-making or policy implementation.
This dataset tracks the updates made on the dataset "Health Workforce Education Data" as a repository for previous versions of the data and metadata.
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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;
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The Healthcare Workforce Management System Market Report is Segmented by Solution (Software and Services) by Deployment (On-Premises Model, Cloud-Based Model, and SaaS- Based/Web-based Model), by End User (Hospitals, Nursing Homes, Assisted Living Centers, and Other End Users), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The Report Offers the Value (in USD) for the Above Segments.
This dataset tracks the updates made on the dataset "Health Workforce Race & Ethnicity Data" as a repository for previous versions of the data and metadata.
This dataset tracks the updates made on the dataset "Health Workforce Languages" as a repository for previous versions of the data and metadata.
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Publication changes: Please read the section on 'Notes on changes to publications' within the PDF report as this highlights changes to data currently published and potentially future reports. This report shows monthly numbers of NHS Hospital and Community Health Service (HCHS) staff groups working in Trusts and CCGs in England (excluding primary care staff). Data is available as headcount and full-time equivalents. This data is an accurate summary of the validated data extracted from the NHS's HR and Payroll system. In addition to the regular monthly reports there are a series of quarterly reports which include statistics on staff in Trusts and CCGs and information for NHS Support Organisations and Central Bodies. The quarterly analysis is published each September (June data), December (September data), March (December data) and June (March data). Additional healthcare workforce data relating to GPs and the Independent Healthcare Provider workforce are also available via the Related Links below. This publication of April 2020 data features a supplementary file which shows trends in HCHS workforce data observed during the NHS response to the Covid-19 pandemic. 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
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The original database. There are all the raw data of this study to calculate the Gini coefficient. The others census data can be found in the web site of National Bureau of Statistics of the People's Republic of China. (XLS)
This dataset contains statistically weighted estimates of initial education levels, highest education levels, and initial education locations for 43 key health workforce professions actively licensed in California as of July 1st, 2023. These metrics can be compared by workforce category, license type, time since license issue date (in years), race & ethnicity group, assigned sex at birth, and CHIS region.