100+ datasets found
  1. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    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 - Jun 30, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

    • statista.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.

  3. T

    China Average Yearly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). China Average Yearly Wages [Dataset]. https://tradingeconomics.com/china/wages
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 15, 2025
    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
    Dec 31, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Wages

    • open.canada.ca
    • ouvert.canada.ca
    csv
    Updated Dec 12, 2024
    + more versions
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    Employment and Social Development Canada (2024). Wages [Dataset]. https://open.canada.ca/data/en/dataset/adad580f-76b0-4502-bd05-20c125de9116
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

  5. d

    Real Wages in Germany between 1871 and 1913

    • da-ra.de
    Updated 2005
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    Ashok V. Desai (2005). Real Wages in Germany between 1871 and 1913 [Dataset]. http://doi.org/10.4232/1.8216
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    Dataset updated
    2005
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Ashok V. Desai
    Time period covered
    1871 - 1913
    Area covered
    Germany
    Description

    The analysis of real wages has a long tradition in Germany. The focus of the acquisition is on company wages, on wages of certain branches or for categories of workers as well as on the investigation of long term aggregated nominal and real wages. The study of Ashok V. Desai on the development of real wages in the German Reich between 1871 and 1913 is an important contribution to historical research on wages. The study is innovative and methodically on an exemplary level. But mainly responsible for the upswing in the historical research on wages in the 50s and 60s is an extraordinary publication by Jürgen Kuczynski. “The new historical research on wages in Germany is insolubly connected with Jürgen Kuczynski. In his broad researches the history of wages is only one section among many other themes but it is a very important one can be seen as the core piece of his work.” (Kaufhold, K.H., 1987: Forschungen zur deutschen Preis- und Lohngeschichte (seit 1930). In: Historia Socialis et Oeconomica. Festschrift für Wolfgang Zorn zum 65. Geburtstag. Stuttgart: Franz Steiner Verlag, S, 83). In his first study on long series on nominal and real wages in Germany he used a broad empirical basis and encouraged more research in this area. His weaknesses are methodological inconsistencies and a restricted representativeness. For example he includes tariff wages but also actually paid wages. Some important industries like food or textile industry are not taken into account. Wages in agriculture were often estimated but without enough material necessary for a good estimation. Wages for work at home are not regraded in the calculation of the index. The weight of cities in the calculation of the index is relatively too high compared to rural regions and therefor it leaks regional representativeness.In his study Desai uses the reports of trade associations for the Reich´s insurance office on the persons who are insured in the accident insurance and their wages as a basis for the calculation of annual nominal average wages. Desais focusses on industrial wages because only for them long term series are available. As the insurance premiums are calculated according to the income level the documents of the trade associations can be used for the calculation of an index for wages development. Desais study is also very useful regarding the calculation of a new index for costs of living based the model of a typical worker family. „F. Grumbach and H. König have used the same sources to derive indices of industrial earnings. The main differences between their series and ours are: (a) we have adopted the industrial classification followed by the Reichsversicherungsamt, while Grumbach and König have made larger industrial groups, (b) we have calculated average annual earnings, while they claim to have calculated average daily earnings (i.e. to have adjusted the annual figures for the average number of days worked per year per worker), and (c) they have failed to correct distortions in the original data” (Desai, A.V., 1968: Real Wages in Germany 1871–1913. Oxford. Clarendon Press, S. 4). Register of tables in HISTAT:A. OverviewsA.1 Overview: Different estimations of the real and nominal gross wages in the German Reich, index 1913 = 100 (1871-1913)A.2 Overview: Development of costs of living, index 1913 = 100 (1871-1913)A.3 Overview: Development of nominal and real wages, index 1913=100 (1844-1937) D. Study by Ashok V. DesaiD.01 Different estimations of real wages in the German Reich, index 1895 = 100 (1871-1913)D.02 Annual average wage (1871-1886)D.03 Annual gross wages in chosen production segments (1887-1913)D.04 Annual average wage in industry, transportation and trade (1871-1913)D.05 Construction of an index for costs of living, 1895 = 100 (1871-1913)D.06 Real wages, in constant prices from 1895 (1871-1913)D.07 Wheat prices and prices for wheat bread (1872-1913)D.08 Rye prices and prices for rye bread (1872-1913)D.09 Average export prices by product groups, index 1895 = 100 (1872-1913)D.10 Average import prices by product groups, index 1895 = 100 (1872-1913)D.11 Average export prices, import prices and terms of trade, index 1895 = 100 (1872-1913) O. Study by Thomas J. OrsaghO. Adjusted indices for costs of living and real wages after Orsgah, index 1913 = 100 (1871-1913)

  6. T

    WAGES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). WAGES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/wages
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  7. Philadelphia Social History Project: Manufacturing Data, 1850, 1860, 1870,...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 14, 2014
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    Hershberg, Theodore (2014). Philadelphia Social History Project: Manufacturing Data, 1850, 1860, 1870, 1880 [Dataset]. http://doi.org/10.3886/ICPSR34967.v2
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    delimited, ascii, sas, r, stata, spssAvailable download formats
    Dataset updated
    Apr 14, 2014
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Hershberg, Theodore
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34967/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34967/terms

    Time period covered
    1850
    Area covered
    Pennsylvania, United States, Philadelphia
    Description

    This component of the Philadelphia Social History Project highlights Philadelphia manufacturing industry data collected in census years 1850, 1860, 1870, and 1880. Business level data includes company name, type of business, amount of capital, and number of active months per year. Workforce information includes average number of male, female, and child employees, occupations, average wages per month by sex, and total wages per year. Production details for each manufacturing firm consist of type of power used, horsepower, number and types of machines, value and number of materials, and value and number of products. Geographic variables include district, ward, x- and y-coordinates, street name, and street direction.

  8. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252881500Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 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: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500Q) from Q1 1979 to Q1 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  9. Retirement History Longitudinal Survey, 1969-1973, and Summary of Social...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Nov 4, 2005
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    Social Security Administration (2005). Retirement History Longitudinal Survey, 1969-1973, and Summary of Social Security Earnings: Merged Data [Dataset]. http://doi.org/10.3886/ICPSR07739.v1
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    sas, stata, spss, asciiAvailable download formats
    Dataset updated
    Nov 4, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Social Security Administration
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7739/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7739/terms

    Time period covered
    1969 - 1973
    Area covered
    United States
    Description

    This data collection includes selected variables from the first three waves of the RETIREMENT HISTORY LONGITUDINAL SURVEY, conducted in 1969, 1971, and 1973 (ICPSR 7683, 7684, and 7685) as well as the Retirement History Longitudinal Survey Summary of Social Security Earnings, compiled from Social Security records. The Summary Earnings variables document reported earnings, wages and salary, self-employment earnings, and agricultural employment for the original respondent as well as first and second spouses. The earnings information is pertinent for the years 1951-1974. The variables selected from the first three waves of the Retirement History Longitudinal Survey include employment information concerning current and past employment, number of hours worked, number of hours off work, how the job was found, gross pay and time unit of pay, pension plans from current job and past jobs, types of pensions, and types of benefits. The subset also includes items pertaining to work history of the respondent, retirement plans, and, if retired, plans to work in the future. Demographic information collected about respondents, their spouses, and other members of the household includes race, sex, age, date of birth, marital status, education, occupation, income, benefits amount, number of children and children attending school, and household composition and relationship.

  10. U.S. median household income 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

  11. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
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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.

  12. d

    Quarterly Census of Employment and Wages (QCEW) Historical Annual Data: 1975...

    • catalog.data.gov
    • data.ny.gov
    • +3more
    Updated Sep 15, 2023
    + more versions
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    State of New York (2023). Quarterly Census of Employment and Wages (QCEW) Historical Annual Data: 1975 - 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-historical-annual-data-1975-2000
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    State of New York
    Description

    The 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.

  13. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  14. Average annual wages in Spain 2000-2023

    • statista.com
    Updated May 19, 2025
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    Statista (2025). Average annual wages in Spain 2000-2023 [Dataset]. https://www.statista.com/statistics/419513/average-annual-wages-spain-y-on-y-in-euros/
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    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    Over this 23-year period, annual wages in Spain fluctuated greatly, ranging from a low of 29,892 euros in 2006 to a high of approximately 33,253 euros in 2009. The average annual wage stood at approximately 31,945 euros in 2023. Compared to other European countries, Spain ranked fairly low in 2023. The annual salary in the Iberian country was similar to salaries in Italy and Slovenia, but remained far from the figures that were registered in France, Ireland, and Germany. Minimum wage Spain's minimum monthly wage was 1,134 euros as of 2024. Unlike the average annual wage, it has been constantly increasing on a nearly continuous basis since 2008, when the minimum wage was 600 euros per month. In 2019, the Socialist government of Spain passed a law by that increased the national minimum wage by 164 euros, therefore making it stand at 900 euros per month and reflecting the largest increase to date. Along with the monthly wage, the national minimum daily wage has also been raised consistently over the past years. In 2024, the gross minimum was 37.8 euros a day, whereas in 2000 it was 20 euros a day. Unequal pay The average salary in Spain diverges considerably according to different factors. For instance, the gender salary gap remains significant in the Mediterranean country, although it has shrunk in recent years. In 2022, the average salary for a male full-time employee was around nine percent higher than his female counterpart. The gender gap is even wider for permanent positions: that year, average annual salaries for women were roughly 6,000 euros less than average salaries for men. The salary gap is also conspicuous when looking at the wage for workers with disabilities, a gap that has increased in recent years. Geographic location is also important; the average net salary in regions such as Extremadura and the Canary Islands was less than 23,100 euros per year in 2022, far from the salary in the Basque Country and Madrid (32,300 and 31,200 euros, respectively).

  15. T

    Vietnam Average Monthly Wages

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Vietnam Average Monthly Wages [Dataset]. https://tradingeconomics.com/vietnam/wages
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    excel, json, xml, csvAvailable 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
    Dec 31, 2007 - Jun 30, 2025
    Area covered
    Vietnam
    Description

    Wages in Vietnam decreased to 8249.90 VND Thousand/Month in the second quarter of 2025 from 8307.50 VND Thousand/Month in the first quarter of 2025. This dataset provides - Vietnam Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. F

    Average Hourly Earnings of Production and Nonsupervisory Employees, Total...

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/AHETPI
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to May 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.

  17. f

    teacher wages

    • figshare.com
    zip
    Updated Jun 1, 2023
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    emmanuel farjoun (2023). teacher wages [Dataset]. http://doi.org/10.6084/m9.figshare.16814632.v1
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    zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    emmanuel farjoun
    License

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

    Description

    teachers wages over time and regions

  18. Adult Migrant Education Salary Cards (Microfilm Copy of VPRS 3774)

    • researchdata.edu.au
    Updated Jul 24, 2013
    + more versions
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    Public Record Office Victoria (2013). Adult Migrant Education Salary Cards (Microfilm Copy of VPRS 3774) [Dataset]. https://researchdata.edu.au/adult-migrant-education-vprs-3774/159862?source=suggested_datasets
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    Dataset updated
    Jul 24, 2013
    Dataset provided by
    Public Record Office Victoria
    Time period covered
    1971 - 1981
    Area covered
    Description

    This series is a microfilm copy of VPRS 3774 Adult Migrant Education Teachers' Salary Cards.

    Adult Migrant Education Teachers were employed to teach English at a variety of locations.

    This series contains the orange salary cards created each financial year by the Finance Division the monitor and control the payment of salaries to these teachers.

    Details given are the month (of employment), the name of the teacher, the gross amount, tax, payment for expenses and net. Totals are given for each quarter as are the details of Group certificates issued and the dates of actual employment.

  19. G

    Historical: Wages, salaries and supplementary labour income, by industry,...

    • ouvert.canada.ca
    • open.canada.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Historical: Wages, salaries and supplementary labour income, by industry, 1968 System of National Accounts (SNA), annual, 1926 - 1986 [Dataset]. https://ouvert.canada.ca/data/dataset/036a086d-1e97-44fc-97be-5445b65ae1b8
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    html, csv, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Historical: Wages, salaries and supplementary labour income, by industry, based on the 1968 System of National Accounts international standards, 1926 to 1986.

  20. G

    Number and Average Wages and Salaries (2) in Constant (2000) Dollars, Sex...

    • open.canada.ca
    • beta.data.urbandatacentre.ca
    • +1more
    xml
    Updated Mar 9, 2022
    + more versions
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    Statistics Canada (2022). Number and Average Wages and Salaries (2) in Constant (2000) Dollars, Sex (3), Work Activity (3), Historical Highest Level of Schooling (6), Age Groups (5) and Occupation - 1991 Standard Occupational Classification (Historical) (706A) for Paid Workers 15 Years and Over With Wages and Salaries, for Canada, Provinces and Territories, 1995 and 2000 - 20% Sample Data [Dataset]. https://open.canada.ca/data/en/dataset/43eaead6-e04f-4f08-97bb-96a87590e787
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    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

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TRADING ECONOMICS (2025). United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages

United States Average Hourly Wages

United States Average Hourly Wages - Historical Dataset (1964-01-31/2025-06-30)

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36 scholarly articles cite this dataset (View in Google Scholar)
json, csv, xml, excelAvailable download formats
Dataset updated
Jun 15, 2025
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 - Jun 30, 2025
Area covered
United States
Description

Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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