The distribution and workforce availability estimates of public service of Canada employees by designated employment equity group among Executives

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.

The distribution and workforce availability estimates of public service of Canada employees by designated employment equity group among Executives

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This retired dataset provides financial information on total positions in Function/Department related to different MTA Agencies budgetary estimates and actuals. For a more comprehensive view of this data, please use MTA Headcount at data.ny.gov/d/ui26-n8p4.

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 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.

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).

Labor Force Participation Rate in the United States decreased to 62.30 percent in June from 62.40 percent in May of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Bureau of Labor Statistics data on local area unemployment statistics.

This dataset provides statistics for SSC’s Employment Equity related to the following groups: Women, Aboriginal People, Visible Minorities and Persons with Disabilities. *Workforce Availability between 2016 and 2019 is based on the 2011 census. ** Workforce Availability for 2020 is based on the 2016 census.

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.A spatial representation of the locations of Michigan UIA Problem Resolution Offices (PRO).Data Source: PRO Locations

Problem Resolution Offices - Need Help?The UIA's Problem Resolution Offices (PROs) resolve customer problems and provide access to automated resources.PROs provide:Telephones and computers for the convenience of customers who may not have access to a computer or telephone to file their claim. If you are going to file an unemployment claim at a PRO, please bring: Your Social Security Number, your Driver's License Number or State Identification or your MARVIN PIN (if you have one); along with the names and addresses of employers you have worked for in the past 18 months with your quarterly gross earnings and the last date of employment with each employer. If you are not a U.S. citizen or national, you will need your Alien Registration Number and the expiration date of your work authorization.In-person help for problems with claimsA presence in the community that includes, on request, presentations about unemployment insurance services to employer, business, labor, and community groupsFile at a PRO: If you are going to file an unemployment claim at a PRO, please bring:Your Social Security Number, your Driver's License Number or State Identification or your MARVIN PIN (if you have one)If you are not a U.S. citizen or national, you will need your Alien Registration Number and the expiration date of your work authorization.Names and addresses of employers you have worked for in the past 18 months including quarterly gross earnings and the last date of employment with each.

"Monthly management information on staff numbers and paybill costs in Civil Service departments, their agencies and their executive NDPBs. For workforce numbers, both payroll and non-payroll (contingent labour, including consultants) information is provided, split between full-time equivalents (FTE) and headcount, with payroll staff numbers mapped to standard Civil Service grades. For costs, payroll paybill information is broken down into its component parts i.e. salaries, allowances, employers pensions contributions etc. For non-payroll costs, these are split between costs for consultancy and those of other non-payroll workers. Staffing numbers are as at the last day of the month for the reference month. Cost information is that for the reference month. For baseline 2010/11 returns, staffing numbers are as at 31 March 2011, and paybill costs are for the financial year 2010/11."

The Departmental Results Framework (DRF) is the strategic view of Defence’s mandate, displaying its Core Responsibilities and key performance information. It represents the corporate framework used to demonstrate plans, achievements, expenditures and performance results. This helps Canadians and parliamentarians understand what we do, what we seek to achieve, and how we will determine if we have achieved it. This dataset presents DRF 3.3 entitled “The Defence team reflects the values and diversity of Canadian society” and its indicators (DRI) entitled: 3.3.2 “% of civilians in the Defence team who self-identify as a woman”, 3.3.4 “% of civilians in the Defence Team who self-identify as a visible minority” and 3.3.6 “% of civilians who self-identify as an indigenous person”. The Department of National Defence (DND) has a legislative requirement to meet or exceed the workforce availability for the four designated Employment Equity (EE) groups: women, visible minorities, persons with disabilities and Indigenous persons. The Employment Equity Workforce Analysis Representation by Occupational Category and Group report provides data on DND’s workforce representation, the workforce availability for the specific EE group and the workforce gap by occupational group and level. DND also calculates the rate at which its employees choose to self-identify either as a member of an EE group, or not. This rate is calculated by DND upon receipt of requisite data from the Treasury Board Secretariat. Note: The data from FY 2021-22 for DRIs 3.3.4 & 3.3.6 will be available during Fall 2022 and Fall 2023 respectively and will be updated accordingly.

This data asset was created in response to House Report 117-401, which stated, "The Committee directs the USAID Administrator, in consultation with the Director of the Office of Personnel Management and the Director of the Office of Management and Budget, to submit a report to the appropriate congressional committees, not later than 180 days after enactment of this Act, on USAID's workforce data that includes disaggregated demographic data and other information regarding the diversity of the workforce of USAID. Such report shall include the following data to the maximum extent practicable and permissible by law: 1) demographic data of USAID workforce disaggregated by grade or grade-equivalent; 2) assessment of agency compliance with the Equal Employment Opportunity Commission Management Directive 715; and 3) data on the overall number of individuals who are part of the workforce, including all U.S. Direct Hires, personnel under personal services contracts, and Locally Employed staff at USAID. The report shall also be published on a publicly available website of USAID in a searchable database format." This data asset fulfills the final part of this requirement, to publish the data in a searchable database format. The data are compiled from USAID's 2021 MD-715 report, available at https://www.usaid.gov/reports/md-715. The original data source is the system National Finance Center Insight owned by the Treasury Department.

This dataset provides the monthly count of employees at executive branch agencies where human resource responsibilities are handled centrally by the Department of Administrative Services ("in-scope agencies). Employee counts by agency type, agency, union, full-time or part-time status, and temporary worker retiree (TWR) status are included.

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.

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 Departmental Results Framework (DRF) is the strategic view of Defence’s mandate, displaying its Core Responsibilities and key performance information. It represents the corporate framework used to demonstrate plans, achievements, expenditures and performance results. This helps Canadians and parliamentarians understand what we do, what we seek to achieve, and how we will determine if we have achieved it. This dataset presents DRF 3.3 entitled “The Defence team reflects the values and diversity of Canadian society” and its indicators (DRI) entitled: 3.3.2 “% of civilians in the Defence team who self-identify as a woman”, 3.3.4 “% of civilians in the Defence Team who self-identify as a visible minority” and 3.3.6 “% of civilians who self-identify as an indigenous person”. The Department of National Defence (DND) has a legislative requirement to meet or exceed the workforce availability for the four designated Employment Equity (EE) groups: women, visible minorities, persons with disabilities and Indigenous persons. The Employment Equity Workforce Analysis Representation by Occupational Category and Group report provides data on DND’s workforce representation, the workforce availability for the specific EE group and the workforce gap by occupational group and level. DND also calculates the rate at which its employees choose to self-identify either as a member of an EE group, or not. This rate is calculated by DND upon receipt of requisite data from the Treasury Board Secretariat. Note: The data from FY 2021-22 for DRIs 3.3.4 & 3.3.6 will be available during Fall 2022 and Fall 2023 respectively and will be updated accordingly.

Labor force survey is a standard household-based survey of work-related statistics at the national and sub-national employment or unemployment levels, rates or trends. 1 Point if 3 or more surveys done within past 10 years. 0.6 points if 2 surveys done within past 10 years. 0.3 points if 1 survey done within past 10 years. 0 points if none within past 10 years