100+ datasets found
  1. F

    Employed: Paid at prevailing federal minimum wage: Private wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed: Paid at prevailing federal minimum wage: Private wage and salary workers: Finance industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204853200A
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    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed: Paid at prevailing federal minimum wage: Private wage and salary workers: Finance industries: 16 years and over (LEU0204853200A) from 2000 to 2024 about paid, minimum wage, finance, salaries, workers, 16 years +, federal, wages, private, employment, industry, and USA.

  2. Occupational Employment and Wage Statistics (OES)

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Occupational Employment and Wage Statistics (OES) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oes
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

  3. F

    Employed full time: Percent of hourly paid workers: Paid total at or below...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0253128700A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over: Men (LEU0253128700A) from 2000 to 2024 about paid, minimum wage, full-time, males, salaries, workers, hours, 16 years +, percent, federal, wages, employment, and USA.

  4. d

    Data from: Occupational Employment and Wage Statistics

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Jul 5, 2025
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    data.ny.gov (2025). Occupational Employment and Wage Statistics [Dataset]. https://catalog.data.gov/dataset/occupational-employment-statistics
    Explore at:
    Dataset updated
    Jul 5, 2025
    Dataset provided by
    data.ny.gov
    Description

    The 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.

  5. U.S. wage and salary workers median hourly earnings 1979-2023

    • statista.com
    • tokrwards.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. wage and salary workers median hourly earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185335/median-hourly-earnings-of-wage-and-salary-workers/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

  6. T

    Vital Signs: Jobs by Wage Level - Subregion

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Jan 18, 2019
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    (2019). Vital Signs: Jobs by Wage Level - Subregion [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Jobs-by-Wage-Level-Subregion/yc3r-a4rh
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jan 18, 2019
    Description

    VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

    FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

    LAST UPDATED January 2019

    DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

    DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

    American Community Survey (2001-2017) http://api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

    Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

    Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

    Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

    In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

  7. Occupational Employment and Wage Statistics (OEWS)

    • catalog.data.gov
    • data.ca.gov
    Updated Jul 23, 2025
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    California Employment Development Department (2025). Occupational Employment and Wage Statistics (OEWS) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oews-4b4c4
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OEWS survey make these estimates possible. The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series. The OEWS estimates are published annually. SOURCE: https://www.bls.gov/oes/oes_emp.htm

  8. U.S. number of wage and salary workers 1979-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. number of wage and salary workers 1979-2023 [Dataset]. https://www.statista.com/statistics/185521/total-number-of-wage-and-salary-workers/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, around 144.54 million people were employed as wage and salary workers in the United States. This was an increase from the previous year, when the number stood at 141.67 million wage and salary employees.

  9. U.S. minimum wage 2024, by state

    • statista.com
    • tokrwards.com
    • +1more
    Updated Apr 3, 2025
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    Statista (2025). U.S. minimum wage 2024, by state [Dataset]. https://www.statista.com/statistics/238997/minimum-wage-by-us-state/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    United States
    Description

    The federally mandated minimum wage in the United States is 7.25 U.S. dollars per hour, although the minimum wage varies from state to state. As of January 1, 2025, the District of Columbia had the highest minimum wage in the U.S., at 17.5 U.S. dollars per hour. This was followed by Washington, which had 16.66 U.S. dollars per hour as the state minimum wage. Minimum wage workers Minimum wage jobs are traditionally seen as “starter jobs” in the U.S., or first jobs for teenagers and young adults, and the number of people working minimum wage jobs has decreased from almost four million in 1979 to about 247,000 in 2020. However, the number of workers earning less than minimum wage in 2020 was significantly higher, at about 865,000. Minimum wage jobs Minimum wage jobs are primarily found in food preparation and serving occupations, as well as sales jobs (primarily in retail). Because the minimum wage has not kept up with inflation, nor has it been increased since 2009, it is becoming harder and harder live off of a minimum wage wage job, and for those workers to afford essential things like rent.

  10. Data from: Quarterly Census of Employment and Wages

    • icpsr.umich.edu
    Updated Oct 22, 2015
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    United States Department of Labor. Bureau of Labor Statistics (2015). Quarterly Census of Employment and Wages [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36312
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    Dataset updated
    Oct 22, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36312/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36312/terms

    Area covered
    United States
    Description

    The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

  11. U.S. male full-time wage and salary worker weekly earnings 1979-2023

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jan 14, 2025
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    Statista (2025). U.S. male full-time wage and salary worker weekly earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185240/median-weekly-earnings-of-male-full-time-wage-and-salary-workers/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 1979 the median usual weekly earnings of a male full-time employee in the United States of America amounted to 292 current U.S. dollars. In 2023, that figure had risen to 1,202 current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Men's median weekly earnings adjusted for inflation can be accessed here.

  12. U.S. workers paid minimum wage 1979-2023

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). U.S. workers paid minimum wage 1979-2023 [Dataset]. https://www.statista.com/statistics/188199/wage-and-salary-workers-paid-hourly-rates-at-minimum-wage-since-1979/
    Explore at:
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 1979, about 3.99 million workers were paid hourly rates at the official minimum wage. In 2023, about 81,000 workers were paid hourly rates at the prevailing minimum wage. The prevailing Federal minimum wage was 7.25 U.S. dollars per hour in 2023.

  13. F

    Employed: Percent of hourly paid workers: Paid total at or below prevailing...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over: Asian: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0204928600A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over: Asian: Men (LEU0204928600A) from 2000 to 2024 about asian, paid, minimum wage, males, salaries, workers, hours, percent, 16 years +, federal, wages, employment, and USA.

  14. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

  15. T

    China - Wage And Salary Workers; Male (% Of Males Employed)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 25, 2018
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    TRADING ECONOMICS (2018). China - Wage And Salary Workers; Male (% Of Males Employed) [Dataset]. https://tradingeconomics.com/china/wage-and-salary-workers-male-percent-of-males-employed-wb-data.html
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 25, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Wage and salaried workers, male (% of male employment) (modeled ILO estimate) in China was reported at 53.32 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Wage and salary workers; male (% of males employed) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  16. k

    Private Sector Employees by Monthly Wage Groups, Nationality and Gender

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Oct 1, 2025
    + more versions
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    (2025). Private Sector Employees by Monthly Wage Groups, Nationality and Gender [Dataset]. https://datasource.kapsarc.org/explore/dataset/private-sector-employees-by-monthly-wage-groups-citizenship-and-gender/
    Explore at:
    Dataset updated
    Oct 1, 2025
    Description

    Explore private sector employees' monthly wage groups based on citizenship and gender in Bahrain. Access detailed data on Bahraini and non-Bahraini employees, male and female workers, and total labor statistics.

    Bahraini, Male, Total, Non-Bahraini, Female, Labor, Private Sector, Wage, salary, Monthly wage group, Gender, Nationality, Bahrain Labor force data

    BahrainFollow data.kapsarc.org for timely data to advance energy economics research.

  17. U.S. number of minimum wage workers 2023, by race and ethnicity

    • statista.com
    Updated Aug 14, 2024
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    Statista (2024). U.S. number of minimum wage workers 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/298873/number-of-workers-with-earnings-at-or-below-min-wage-in-the-us-by-ethnicity/
    Explore at:
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the number of workers paid hourly rates at or below prevailing federal minimum wage in the United States in 2023, by race or ethnicity. In 2023, about 666,000 white people were paid at or below the federal minimum wage.

  18. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1964 - Aug 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.46 USD/Hour in August from 31.34 USD/Hour in July of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. d

    Labor Insurance Salary Classification Table

    • data.gov.tw
    csv, json +2
    Updated Jun 2, 2025
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    Bureau of Labor Insurance, MOL (2025). Labor Insurance Salary Classification Table [Dataset]. https://data.gov.tw/en/datasets/6258
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    webservices, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Bureau of Labor Insurance, MOL
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Labor insurance insured wage classification table (applicable from January 1, 113)

  20. T

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 12, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: Occupational Program [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-workers-paid-at-or-below-prevailing-federal-minimum-wage-16-years-and-over-occupational-program-percent-of-total-paid-hourly-rate-fed-data.html
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Sep 12, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: Occupational Program was 0.50000 % of Total Paid Hourly Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: Occupational Program reached a record high of 3.00000 in January of 2010 and a record low of 0.50000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: Occupational Program - last updated from the United States Federal Reserve on September of 2025.

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(2025). Employed: Paid at prevailing federal minimum wage: Private wage and salary workers: Finance industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204853200A

Employed: Paid at prevailing federal minimum wage: Private wage and salary workers: Finance industries: 16 years and over

LEU0204853200A

Explore at:
jsonAvailable download formats
Dataset updated
Jan 22, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Employed: Paid at prevailing federal minimum wage: Private wage and salary workers: Finance industries: 16 years and over (LEU0204853200A) from 2000 to 2024 about paid, minimum wage, finance, salaries, workers, 16 years +, federal, wages, private, employment, industry, and USA.

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