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/who-we-are/organization/independent-offices/office-civil-rights/md-715-reports. The original data source is the system National Finance Center Insight owned by the Treasury Department. This dataset reports demographic data for the USAID workforce for fiscal year 2021.

The dataset highlights key OPS workforce demographics extracted from the OPS payroll reporting system (WIN), including: * OPS size * Age and tenure * Annual sick leave credit usage * OPS salaries * OPS compensation data by gender A data dictionary is included to define all workforce demographics, metrics and limitations. This data has been released due to the demand expressed through a public vote to determine which datasets the Government of Ontario should publish. This was the fourth most voted on dataset out of a pool of approximately 1000 entries. The Data in this report is as of March 31, 2024, unless otherwise indicated. *[WIN]: Workforce Information Network *[OPS]: Ontario Public Service

In fiscal year 2023, more than half of the professional workforce at Deloitte in the United States were white. Percentage-wise, this is a decrease in the number of white employees from 2022. Asian employees made up the next largest demographic in between 2022 and 2023. Representation of all non-white demographics increased between 2021 and 2023.

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.

Bank of America's workforce has undergone a significant shift in racial diversity over the past six years. The share of white employees decreased from 53.2 percent in 2019 to 47.2 percent in 2024, marking a notable change in the company's demographic composition. Meanwhile, the representation of Hispanic, Asian, and Black racial groups grew steadily. The second-largest racial group in the observed period was Hispanic, whose share increased from 17.9 to 19.2 percent.

The source of Employee Demographic data is an employee self-reported system in our City of Asheville ERP software (Tyler Technology - Munis). Employees self-identify for Race and Ethnicity.

Explore demographic data on the Massachusetts executive branch workforce. Track our progress toward our goals to reflect the diversity of the people we serve, and to stand out as an employer of choice.

This transformed view of Employee Demographics - Public dataset counts the number of and percentage of city employees by race as self-reported by employee based on EEOC classification. This information is used by "City Employee vs. Community Demographics dataset" at https://citydata.mesaaz.gov/Economic-Development/Chart-Data-for-City-Employee-vs-Community-Demograp/bt2n-zimw

This dataset represents data beginning from 2010 to current date. The values represent the entire City of Austin workforce. The goal of the City of Austin’s Employee Demographic data site is to provide information that is transparent and available to the public in a format that can be easily researched, filtered, analyzed and consumed. The Human Resource Department believes that by providing data sets to the public that are key to setting City priorities and assisting in making better informed decisions, it will enhance the collaboration among City departments and their external partners that will help bring a higher level of civic engagement with the public on local civic issues and concerns.

Between 2020 and 2023, the total professional workforce of PwC in the United States had a majority of white employees. Those of an Asian background were the next most populous workforce, totaling approximately one-third of the white employment figures.

Data updated quarterly.Data Attributes and Definitions -- Department: The department the employee works in.- Department ID: The numeric identifier for the department (typically 4 digits).- Job: The name for the job assigned to the employee.- Category: Grouping of employees in similar jobs/leadership roles.- Sub Category: Secondary grouping of employees within a category.- Race/Ethnicity: The race/ethnicity category which the employee identifies with (self-identified).- Gender: Designates the employee's gender (self-identified).- Age: The chronological number (age) assigned to the employee based on date of birth.- Age Group: Grouping of employees having approximately the same age or age range.- Original Hire Date: Date upon which the employee was originally hired.- Last Hire Date: Date upon which an employee was hired; may be a rehire date.- Pay Class: Defines how the employee gets paid for hours worked based on defined rules (full-time, part-time, hourly, etc.)- Data As of: The date to which the given data applies to.

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.

Data updated quarterly.Data Attributes and Definitions -- Department: The department the employee works in.- Department ID: The numeric identifier for the department (typically 4 digits).- Job: The name for the job assigned to the employee.- Category: Grouping of employees in similar jobs/leadership roles.- Sub Category: Secondary grouping of employees within a category.- Race/Ethnicity: The race/ethnicity category which the employee identifies with (self-identified).- Gender: Designates the employee's gender (self-identified).- Age: The chronological number (age) assigned to the employee based on date of birth.- Age Group: Grouping of employees having approximately the same age or age range.- Original Hire Date: Date upon which the employee was originally hired.- Last Hire Date: Date upon which an employee was hired; may be a rehire date.- Pay Class: Defines how the employee gets paid for hours worked based on defined rules (full-time, part-time, hourly, etc.)- Data As of: The date to which the given data applies to.

Users can download data or view data tables on topics related to the labor force of the United States. Background Current Population Survey is a joint effort between the Bureau of Labor Statistics and the Census Bureau. It provides information and data on the labor force of the United States, such as: employment, unemployment, earnings, hours of work, school enrollment, health, employee benefits and income. The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for the nation as a whole and serves as part of model-based estimates for individual states and other geographic areas. User Functionality Users can download data sets or view data tables on their topic of interest. Data can be organized by a variety of demographic variables, including: sex, age, race, marital status and educational attainment. Data is available on a national or state level. Data Notes The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for th e nation as a whole and serves as part of model-based estimates for individual states and other geographic areas.

In October 2024, the civilian labor force amounted to 168.48 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.

Data updated quarterly.

Data Attributes and Definitions - 
-  Department: The department the employee works in.
-  Department ID: The numeric identifier for the department (typically 4

digits). - Job: The name for the job assigned to the employee. - Category: Grouping of employees in similar jobs/leadership roles. - Sub Category: Secondary grouping of employees within a category. - Race/Ethnicity: The race/ethnicity category which the employee identifies with (self-identified).

-  Gender: Designates the employee's

gender (self-identified). - Age: The chronological number (age) assigned to the employee based on date of birth. - Age Group: Grouping of employees having approximately the same age or age range. - Original Hire Date: Date upon which the employee was originally hired.

-  Last Hire Date: Date upon which an

employee was hired; may be a rehire date. - Pay Class: Defines how the employee gets paid for hours worked based on defined rules (full-time, part-time, hourly, etc.) - Data As of: The date to which the given data applies to.

Graph and download economic data for Not in Labor Force (LNS15000000) from Jan 1975 to Feb 2025 about 16 years +, labor force, labor, household survey, and USA.

Dataset provides the public with a snapshot of the County of Los Angeles workforce including the count of full-time permanent employees by department, employee demographics (i.e., ethnicity and gender) EEO Job Categories and, EEO Functions.

Labor Force: Foreign Born: Female data was reported at 14,305.000 Person th in Feb 2025. This records a decrease from the previous number of 14,386.000 Person th for Jan 2025. Labor Force: Foreign Born: Female data is updated monthly, averaging 11,123.000 Person th from Jan 2007 (Median) to Feb 2025, with 218 observations. The data reached an all-time high of 14,386.000 Person th in Jan 2025 and a record low of 9,298.000 Person th in Jan 2007. Labor Force: Foreign Born: Female data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G023: Current Population Survey: Labour Force.