100+ datasets found
  1. U.S. wage and salary accruals 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

  2. data-science-job-salaries

    • huggingface.co
    Updated Aug 15, 2022
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    data-science-job-salaries [Dataset]. https://huggingface.co/datasets/hugginglearners/data-science-job-salaries
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    Hugging Facehttps://huggingface.co/
    Authors
    fastai X Hugging Face Group 2022
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Dataset Card for Data Science Job Salaries

      Dataset Summary
    
    
    
    
    
    
    
      Content
    

    Column Description

    work_year The year the salary was paid.

    experience_level The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director

    employment_type The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/data-science-job-salaries.

  3. National Football League salary cap 2011-2025

    • statista.com
    Updated Mar 6, 2025
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    Statista (2025). National Football League salary cap 2011-2025 [Dataset]. https://www.statista.com/statistics/1011083/nfl-salary-cap/
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The NFL salary cap is an agreement between the league and the franchises which limits the sum a team can spend on player salaries in order to maintain the competitive nature of the league. The salary cap for the 2025 NFL season was set at 279.2 million U.S. dollars per club, breaking the 275 million U.S. dollar mark for the first time.

  4. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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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/LEU0252881500A
    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: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500A) from 1979 to 2024 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  5. 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.

  6. F

    Average Hourly Earnings of All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
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    (2025). Average Hourly Earnings of All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/CES3000000003
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    jsonAvailable download formats
    Dataset updated
    Mar 7, 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 All Employees, Manufacturing (CES3000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.

  7. T

    WAGES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 16, 2013
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    WAGES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/wages
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 16, 2013
    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.

  8. f

    Data from: Average salary

    • f1hire.com
    Updated Oct 26, 2024
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    F1 Hire (2024). Average salary [Dataset]. https://www.f1hire.com/major/Statistical%20Practice%20Statistics
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    Dataset updated
    Oct 26, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Statistical Practice Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Statistical Practice Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Statistical Practice Statistics, providing a clear picture of financial prospects post-graduation.

  9. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: White: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0252884000A
    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: Median usual weekly real earnings: Wage and salary workers: 16 years and over: White: Men (LEU0252884000A) from 2000 to 2024 about full-time, males, salaries, workers, earnings, white, 16 years +, wages, median, real, employment, and USA.

  10. f

    Data from: Average salary

    • f1hire.com
    Updated Oct 17, 2024
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    F1 Hire (2024). Average salary [Dataset]. https://www.f1hire.com/major/Data%20Analytics%20%20Business%20Statistics
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    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Data Analytics Business Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Data Analytics Business Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Data Analytics Business Statistics, providing a clear picture of financial prospects post-graduation.

  11. Annual salaries of IT professionals worldwide 2024

    • statista.com
    Updated Aug 8, 2024
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    Annual salaries of IT professionals worldwide 2024 [Dataset]. https://www.statista.com/statistics/1483854/annual-salaries-tech-professionals-globally/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2024 - Jun 20, 2024
    Area covered
    Worldwide
    Description

    In 2024, senior executives in the IT market reported the highest total annual compensation, with a median of over 127,388 thousand U.S. dollars. Developer advocates, managers, and developer experience engineers earned well over 100 thousand U.S. dollars annually. Site reliability engineers and cloud infrastructure engineers had median earnings of one thousand and 97 thousand U.S. dollars, respectively. At the lower end of the spectrum, academic researchers, front-end developers, and students earned less than 50 thousand U.S. dollars in total annual compensation.

  12. f

    Data from: Average salary

    • f1hire.com
    Updated Oct 14, 2024
    + more versions
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    F1 Hire (2024). Average salary [Dataset]. https://www.f1hire.com/major/Financial%20Economics%20And%20Mathematics-Statistics
    Explore at:
    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Financial Economics And Mathematics-Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Financial Economics And Mathematics-Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Financial Economics And Mathematics-Statistics, providing a clear picture of financial prospects post-graduation.

  13. f

    Data from: Average salary

    • f1hire.com
    Updated Oct 26, 2024
    + more versions
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    F1 Hire (2024). Average salary [Dataset]. https://www.f1hire.com/major/Applied%20Statistics%20I.E.%2C%20Masters%20Degree%20In%20Statistics
    Explore at:
    Dataset updated
    Oct 26, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Applied Statistics I.E., Masters Degree In Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Applied Statistics I.E., Masters Degree In Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Applied Statistics I.E., Masters Degree In Statistics, providing a clear picture of financial prospects post-graduation.

  14. f

    Data from: Average salary

    • f1hire.com
    + more versions
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    F1 Hire, Average salary [Dataset]. https://www.f1hire.com/major/Dual%20Major%20Computer%20Science%20And%20Statistics%20May%202021
    Explore at:
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Dual Major Computer Science And Statistics May 2021 from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Dual Major Computer Science And Statistics May 2021 relative to other fields. This data is essential for students assessing the return on investment of their education in Dual Major Computer Science And Statistics May 2021, providing a clear picture of financial prospects post-graduation.

  15. f

    Data from: Average salary

    • f1hire.com
    Updated Oct 13, 2024
    + more versions
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    F1 Hire (2024). Average salary [Dataset]. https://www.f1hire.com/major/Econometrics%20And%20Statistics
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    Dataset updated
    Oct 13, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Econometrics And Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Econometrics And Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Econometrics And Statistics, providing a clear picture of financial prospects post-graduation.

  16. Average Salary Market Comparison Trend

    • data.ok.gov
    • datasets.ai
    • +3more
    csv
    Updated Oct 31, 2019
    + more versions
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    Office of Management and Enterprise Services (2019). Average Salary Market Comparison Trend [Dataset]. https://data.ok.gov/dataset/average-salary-market-comparison-trend
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2019
    Dataset provided by
    Oklahoma Office of Management and Enterprise Serviceshttp://www.omes.ok.gov/
    Authors
    Office of Management and Enterprise Services
    Description

    Comparison of the average salary of State of Oklahoma employees and the market average salary beginning in fiscal year 2005.

  17. F

    Employed full time: Wage and salary workers: Dancers and choreographers...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Dancers and choreographers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254592400A
    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: Wage and salary workers: Dancers and choreographers occupations: 16 years and over: Men (LEU0254592400A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  18. Minimum player salary per year in NFL 2011-2030

    • statista.com
    Updated Jun 13, 2024
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    Statista (2024). Minimum player salary per year in NFL 2011-2030 [Dataset]. https://www.statista.com/statistics/1009562/minimum-nfl-salary/
    Explore at:
    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada, United States
    Description

    The statistic shows the minimum player salary in the National Football League from 2011 to 2030. The minimum salary for players in the NFL amounted to 750 thousand U.S. dollars in the 2023 season, as per the league's Collective Bargaining Agreement established in March 2020.

  19. F

    Unemployment Level - Financial Activities Industry, Private Wage and Salary...

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Unemployment Level - Financial Activities Industry, Private Wage and Salary Workers [Dataset]. https://fred.stlouisfed.org/series/LNU03032238
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 7, 2025
    License

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

    Description

    Graph and download economic data for Unemployment Level - Financial Activities Industry, Private Wage and Salary Workers (LNU03032238) from Jan 2000 to Feb 2025 about salaries, workers, financial, private industries, 16 years +, wages, household survey, private, unemployment, industry, and USA.

  20. N

    Wyandotte, OK annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Wyandotte, OK annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/wyandotte-ok-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wyandotte, Oklahoma
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Wyandotte. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Wyandotte, the median income for all workers aged 15 years and older, regardless of work hours, was $35,104 for males and $19,792 for females.

    These income figures highlight a substantial gender-based income gap in Wyandotte. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the town of Wyandotte.

    - Full-time workers, aged 15 years and older: In Wyandotte, among full-time, year-round workers aged 15 years and older, males earned a median income of $48,750, while females earned $28,875, leading to a 41% gender pay gap among full-time workers. This illustrates that women earn 59 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Wyandotte, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Wyandotte median household income by race. You can refer the same here

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U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
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U.S. wage and salary accruals 2023, by industry

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 15, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

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