The PWSD is a dataset that can be used to answer questions about various public workforce system programs and how these programs fit in with the overall public workforce system and the economy. It was designed primarily to be used as a tool to understand what has been occurring in the Wagner-Peyser program and contains data from quarter 1 of 1995 through quarter 4 of 2008. Also, it was designed to understand the relationship and flow of participants as they go through the public workforce system. The PWSD can be used to analyze these programs both individually and in combination. The PWSD contains economic variables, Unemployment Insurance System data, and data on programs funded by the Workforce Investment Act and Employment Service. Economic variables included are labor force, employment, unemployment, unemployment rate, and gross domestic product data.

Content

This dataset offers comprehensive details on the potential and current developments in the AI employment market. Data about job titles, necessary skills, pay ranges, experience levels, company kinds, and locations are all included. The dataset aids in determining the most sought after talents and the industry specific comparisons of various professions.

Context

Understanding the changing job landscape has become crucial for both businesses and job seekers as artificial intelligence continues to revolutionize industries. The purpose of this dataset is to provide information on hiring trends, pay disparities, and new career pathways in the AI industry. It can be used for data analysis, visulization, and prediction tasks relating to employment patterns in technology driven areas.

Acknowledgement

As a valuable resource for analyzing and learning

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.

The report contains thirteen (13) performance metrics for City's workforce development programs. Each metric can be breakdown by three demographic types (gender, race/ethnicity, and age group) and the program target population (e.g., youth and young adults, NYCHA communities) as well.

This report is a key output of an integrated data system that collects, integrates, and generates disaggregated data by Mayor's Office for Economic Opportunity (NYC Opportunity). Currently, the report is generated by the integrated database incorporating data from 18 workforce development programs managed by 5 City agencies.

There has been no single "workforce development system" in the City of New York. Instead, many discrete public agencies directly manage or fund local partners to deliver a range of different services, sometimes tailored to specific populations. As a result, program data have historically been fragmented as well, making it challenging to develop insights based on a comprehensive picture. To overcome it, NYC Opportunity collects data from 5 City agencies and builds the integrated database, and it begins to build a complete picture of how participants move through the system onto a career pathway.

Each row represents a count of unique individuals for a specific performance metric, program target population, a specific demographic group, and a specific period. For example, if the Metric Value is 2000 with Clients Served (Metric Name), NYCHA Communities (Program Target Population), Asian (Subgroup), and 2019 (Period), you can say that "In 2019, 2,000 Asian individuals participated programs targeting NYCHA communities.

Please refer to the Workforce Data Portal for further data guidance (https://workforcedata.nyc.gov/en/data-guidance), and interactive visualizations for this report (https://workforcedata.nyc.gov/en/common-metrics).

Information that summarizes the State of Oklahoma workforce data by agency.

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 the frequency of 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 (first published on 26 July 2016 looking at the data for March 2016) which include statistics on staff in Trusts and CCGs and information for NHS Support Organisations and Central Bodies. The quarterly analysis will be published each September (showing June statistics), December (showing September statistics), March (showing December statistics), and June (showing March statistics). Additional healthcare workforce data relating to GPs and the Independent Healthcare Provider workforce are also available. Links to these data are available below. 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

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.

The resources in this dataset contain demographic information for the Oklahoma state government workforce. The resources present data from the current fiscal year along with demographic trends over time. The data can be used for workforce planning purposes.

This is a machine readable version of datasets from the CalHR 5102 reports found here: https://www.calhr.ca.gov/pages/statewide-reports.aspx

Workforce Information Cubes for NASA, sourced from NASA's personnel/payroll system, gives data about who is working where and on what. Includes records for every civil service employee in NASA, snapshots of workforce composition as of certain dates, and data on personnel transactions, such as hires, losses and promotions. Updates occur every 2 weeks.

Skills for Care's Adult Social Care Workforce Data Set (ASC-WDS) is recognised as the leading source of high quality data and workforce intelligence for adult social care. The ASC-WDS collects information online about providers offering a social care service and their employees. Social care providers can register, maintain and access their business information at asc-wds.skillsforcare.org.uk. Our Workforce Intelligence team publish and share detailed information about the sector, add insight and interpretation via our written reports and create interactive visualisations to make the data more engaging. Repots and visualisations cover topics such as recruitment and retention, sickness, pay rates, qualifications and demographics. All information is based on estimates of the adult social care workforce, at national, regional and local level. Information can be found at www.skillsforcare.org.uk/workforceintelligence. Below, information is available about our methodology, workforce estimates, published in Excel, and how to request raw ASC-WDS data files. Skills for Care publish information in such a range of formats to promote transparency in the collected data and also to further encourage use of the data by audiences such as government policymakers, academics, researchers, local authorities and workforce planners, as well as any other user with an interest in social care and labour markets. Our high-quality information about the workforce is vital in helping to effectively develop strategy, commission and plan for the workforce together, and this will, in turn, improve outcomes for the people who use these services, both now and in the future.

The General Practice Workforce series of Official Statistics presents a snapshot of the primary care general practice workforce. A snapshot statistic relates to the situation at a specific date, which for these workforce statistics is now the last calendar day each month. This monthly snapshot reflects the general practice workforce at 31 May 2024. These statistics present full-time equivalent (FTE) and headcount figures by four staff groups, (GPs, Nurses, Direct Patient Care (DPC) and administrative staff), with breakdowns of individual job roles within these high-level groups. For the purposes of NHS workforce statistics, we define full-time working to be 37.5 hours per week. Full-time equivalent is a standardised measure of the workload of an employed person. Using FTE, we can convert part-time and additional working hours into an equivalent number of full-time staff. For example, an individual working 37.5 hours would be classed as 1.0 FTE while a colleague working 30 hours would be 0.8 FTE. The term “headcount” relates to distinct individuals, and as the same person may hold more than one role, care should be taken when interpreting headcount figures. Please refer to the Using this Publication section for information and guidance about the contents of this publication and how it can and cannot be used. England-level time series figures for all job roles are available in the Excel bulletin tables back to September 2015 when this series of Official Statistics began. The Excel file also includes Sub-ICB Location-level FTE and headcount breakdowns for the current reporting period. CSVs containing practice-level summaries and Sub-ICB Location-level counts of individuals are also available. Please refer to the Publication content, analysis, and release schedule in the Using this publication section for more details of what’s available. We are continually working to improve our publications to ensure their contents are as useful and relevant as possible for our users. We welcome feedback from all users to PrimaryCareWorkforce@nhs.net.

This dataset contains statistically weighted estimates of the languages spoken by 47 key health workforce professions actively licensed in California as of December 3rd, 2024. These metrics can be compared by US Census Bureau language group, Medi-Cal Threshold Language, workforce category, license type, region, county and age.

The dataset contains a ratio of the number of patient encounters (i.e., Inpatient Hospitalizations and Emergency Department visits) with a behavioral health diagnosis, per healthcare provider license with a specialty in behavioral health. The ratio is categorized based on the values of the Numerator to Denominator. Larger ratios may indicate a greater need for providers specializing in behavioral health. Smaller ratios may indicate a lower need for providers specializing in behavioral health. The dataset also contains the numbers of the top ten behavioral health diagnoses, by diagnosis category, that were present during the encounters. The table is broken down by county, and it is limited to hospital Inpatient and Emergency Department settings.

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

Workforce Individual Performance Record Data: The Workforce Individual Performance Record Data is data ETA collects from grantees on a quarterly basis via form ETA-9172 (DOL Participant Individual Record Layout (PIRL)). This dataset includes information on the WIOA Title I Adult, Dislocated Worker, Youth, WIOA Title III Wagner-Peyser Employment Service, Trade Adjustment Assistance, National Dislocated Worker Grants, National Farmworker Jobs Program (Career Services and Training), National Farmworker Jobs Program (Housing), Indian and Native American Program (Adult), Indian and Native American Program (Youth), Reentry Employment Opportunities (REO) (Adult), Reentry Employment Opportunities (REO) (Youth), YouthBuild, H-1B, Job Corps, Senior Community Service Employment Program (SCSEP), Registered Apprenticeship Grants Program, and the Veteran’s Employment Service’s Jobs for Veterans State Grant programs for performance accountability purposes. The participant individual record data include data on the individual's characteristics, types of services received, and outcomes attained as a result of participating in the program for each of these programs. The individual records from programs with state grantees include Wage Data provided by state UI Offices and through the SWIS Agreement. For some of these programs, data is available in aggregate and modified public use files on ETA’s website (https://www.dol.gov/agencies/eta/performance/results/national).

Summarizes the workforce by age distribution using both years and generation name.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

List of Workforce Development Boards including name, address, contact information, as well as contact names and geographic location coding.

Workforce summary - employed, unemployed, and average wages.

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information. If you have questions about the underlying data stored here, please contact Health Resources & Services Administration at NCHWAinquiries@hrsa.gov. If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu. View National Center for Health Workforce Analysis projections of the future supply of and demand for healthcare occupations. Projections were generated using some data from the period of the pandemic. See the “About this Dashboard” for more details about the projections. Use this tool to: View projection of the supply of and demand for health care workers at the state and national level. Analyze supply and demand trends by discipline. Analyze projected ‘What if?’ scenarios in the event of changes in the health care landscape. [Quote from: https://data.hrsa.gov/topics/health-workforce/workforce-projections]