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).

The Workforce Recruitment Program Database identifies college students with disabilities who have been pre-vetted for Schedule A hiring by employers

Workforce Development Boards are part of the Public Workforce System, a network of federal, state, and local offices that support economic expansion and develop the talent of the nation’s workforce. The WDBs’ role is to develop regional strategic plans and set funding priorities for their area. State and local Workforce Development Boards serve as connectors between the U.S. Department of Labor and local American Job Centers that deliver services to workers and employers. This data contains contact information for all state WDBs. Includes name, address, contact information, as well as contact names.

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.

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

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

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

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 Programs Quarterly Performance Report (QPR) Data: The Programs Quarterly Performance Report Data is data ETA collects from grantees on a quarterly basis via form ETA-9173 (Quarterly Performance Report (QPR). These data are aggregate values that are generated by ETA in the Workforce Integrated Performance System (WIPS) using individual record data reported by grantees using the DOL PIRL (ETA-9172). 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 QPR data include data on the demographics, types of services received, and outcomes of the participants served by the grant, for each of these programs. For some of these programs, some of these data is available by grant on ETA’s website (https://www.dol.gov/agencies/eta/performance/results/national).

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).

This report contains the results of the 2023 Licensed Clinical Social Worker (LCSW) Workforce Survey. Nearly 8,700 LCSWs voluntarily participated in this survey. The Virginia Department of Health Professions’ Healthcare Workforce Data Center (HWDC) administers the survey during the license renewal process, which takes place every June for LCSWs. These survey respondents represent 85% of the 10,183 LCSWs licensed in the state and 97% of renewing practitioners.

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.

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 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.

Personnel occupancy and vacancy by position. About the Dataset: The data have been extracted from the City of Chicago's Chicago Integrated Personnel and Payroll System (CHIPPS). CHIPPS is comprised of human resources and payroll modules that serve as the backbone for maintaining employee records and payroll processing. Data Disclaimer: The following data disclaimer governs your use of the dataset extracted from the vacancy data of the City of Chicago's Chicago Integrated Personnel and Payroll System (CHIPPS). Data Subject to Change: The dataset represents a point-in-time extract from the CHIPPS vacancy and occupancy data and may not reflect real-time or up-to-date data. The dataset is updated on a monthly basis and published on the first business day of each month. This dataset is subject to updates and modifications due to the course of business, including grant position changes. This dataset does not include open line positions. Open line positions represent a position that is budgeted based on the number of hours or months of work needed.

This dataset contains statistically weighted estimates of the Race & Ethnicity of 47 key health workforce professions actively licensed in California as of December 3rd, 2024. These metrics can be compared by workforce category, license type, region, county and age.

City of Chicago's Workforce Center locations, hours of operation and contact information.

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

Introduction of Dataset: In this dataset, I have gathered data on the top global companies by the number of employees they have. The dataset consists of 6 columns:

1.Rank: This column indicates the rank of the company. 2. Company: Here, I have provided the name of the company. 3. Stock Symbol: This column contains the stock symbol of each company. 4. Number of Employees: Here, I have provided the number of employees for each company. 5. Share Price: This column includes the share price of each company. 6. Company Origin: In this column, I have provided the name of the country where the company is based.

Use Cases: Here are some potential use cases for the dataset on top global companies by the number of employees:

Market Analysis: Analysts can use this dataset to study trends in the number of employees across different industries and countries. This can provide insights into economic growth, industry competitiveness, and labor market dynamics.

Investment Decision Making: Investors can use the data to compare companies based on their number of employees, share price, and other factors. This can help them make informed decisions about which companies to invest in based on their growth potential and market position.

HR Benchmarking: Human resources departments can benchmark their company's employee count against those of top global companies to assess their competitiveness in the job market and identify areas for improvement in recruitment and retention strategies.

Country Comparison: Researchers and policymakers can use the dataset to compare the size and composition of the workforce across different countries, helping them understand global labor market dynamics and identify potential areas for policy intervention.

Supply Chain Management: Companies can use the dataset to evaluate the size and capabilities of potential partners or suppliers based on their workforce size and geographic location.

Competitive Analysis: Businesses can use the data to benchmark themselves against their competitors in terms of employee count, market presence, and other metrics to identify opportunities for growth and areas where they may need to improve their competitive position.

Predictive Modeling: Data scientists can use the dataset to build predictive models that forecast future employment trends within specific industries or regions, helping businesses and policymakers anticipate changes in labor market dynamics and adjust their strategies accordingly.

Academic Research: Researchers in economics, sociology, and other fields can use the dataset to study various aspects of corporate behavior, labor markets, and globalization.

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.