Facebook
TwitterHistorical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.
Facebook
TwitterThe Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI. Industry level data from 1975 to 2000 is reflective of the Standard Industrial Classification (SIC) codes.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A curated dataset of employee experience (EX) statistics from 2023–2025 with emphasis on the United States, covering engagement, retention, work-life balance, DEI, flexible work, and remote/hybrid outcomes. Compiled from reputable third-party studies (e.g., Gallup, SHRM, McKinsey, Qualtrics, Owl Labs, Buffer, The Conference Board).
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees, Apparel Manufacturing (CES3231500001) from Jan 1990 to Sep 2025 about apparel, nondurable goods, establishment survey, goods, employment, and USA.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees, Home Health Care Services (CEU6562160001) from Jan 1985 to Sep 2025 about health, establishment survey, education, services, employment, and USA.
Facebook
TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset uses seasonally adjusted data from the US Bureau of Labor Statistics to present information on Maryland's labor force participation rate, employment rate, and unemployment rate.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Employment Cost Index (ECI) measures the change in the hourly labor cost to employers over time. The ECI uses a fixed “basket” of labor to produce a pure cost change, free from the effects of workers moving between occupations and industries and includes both the cost of wages and salaries and the cost of benefits.In the private sector, business owners and human resources professionals can use the ECI to make decisions about pay adjustments to help them stay competitive. In the public sector, the Federal Reserve and others use the ECI to gauge the health of the labor market, adjust contracts, and research the labor market.There are two data schemas:NAICS-SOC basis (2001-Present) - ciSIC-OCS basis (1979-2005) - ec
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Private Employee: PHB: Full-Time Workers data was reported at 90.000 % in 2017. This stayed constant from the previous number of 90.000 % for 2016. United States Private Employee: PHB: Full-Time Workers data is updated yearly, averaging 90.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 91.000 % in 2003 and a record low of 87.000 % in 2000. United States Private Employee: PHB: Full-Time Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.
Facebook
TwitterIn August 2025, the civilian labor force amounted to 170.78 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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Part Time Employment in the United States increased to 29034 Thousand in August from 28437 Thousand in July of 2025. This dataset provides - United States Part Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Facebook
TwitterThe Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains information about employees from different fake companies. It is not real data, and it has been created to resemble real data. The dataset includes various details about the employees, which is useful for research and analysis. It provides a lifelike representation of employee data without compromising privacy or using real personal information.
Facebook
TwitterNumber of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q2 2025 about productivity, sector, business, employment, rate, and USA.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. This dataset is a prime candidate for conducting analyses on salary disparities, the relationship between department/division and salary, and the distribution of salaries across gender and grade levels.
Statistical models can be applied to predict base salaries based on factors such as department, grade, and length of service. Machine learning techniques could also be employed to identify patterns and anomalies in the salary data, such as outliers or instances of significant inequity.
Some analysis to be performed with this dataset can include:
Facebook
TwitterIn 2024, the employment rate of the workforce of 55 years and older decreased to 37.3 percent. Employment rate among young adults (age 16-24) was at 50.9 percent in 2024. For monthly updates on employment in the United States visit the annual national employment rate here.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees, Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (CES5051800001) from Jan 1990 to Sep 2025 about information, establishment survey, services, employment, and USA.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees, Total Private (CEU0500000001) from Jan 1939 to Aug 2025 about establishment survey, private, employment, and USA.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Private Employee: LIB: Workers in Service Producing Industries data was reported at 51.000 % in 2017. This stayed constant from the previous number of 51.000 % for 2016. United States Private Employee: LIB: Workers in Service Producing Industries data is updated yearly, averaging 52.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 54.000 % in 2010 and a record low of 44.000 % in 2003. United States Private Employee: LIB: Workers in Service Producing Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.
Facebook
TwitterMonthly statistics regarding the labor force, employment and unemployment in Mesa and nearby municipalities. Unemployment rate sourced at BLS.gov Data Viewer. Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ (See for next data release dates). To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm
Facebook
TwitterHistorical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.