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/
    Explore at:
    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. 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.

  3. U.S. average annual pay of employees in Virginia 2001-2023

    • statista.com
    Updated Sep 12, 2024
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    Statista (2024). U.S. average annual pay of employees in Virginia 2001-2023 [Dataset]. https://www.statista.com/statistics/588312/virginia-annual-pay/
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    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average annual pay of employees in Virginia totaled to 74,253 U.S. dollars. This is an increase from the previous year, and an overall increase from 2001 levels, when this value stood at 36,733 U.S. dollars.

  4. Countries with the lowest average monthly salaries worldwide 2023

    • statista.com
    Updated Feb 3, 2025
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    Countries with the lowest average monthly salaries worldwide 2023 [Dataset]. https://www.statista.com/statistics/1338777/average-monthly-salaries-countries-lowest-worldwide/
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    Dataset updated
    Feb 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of 2023, Rwanda had the lowest average monthly salary of employees in the world in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Gambia had the second lowest average wages, with Ethiopia in third. Of the 20 countries with the lowest average salaries in the world, 17 were located in Africa. On the other hand, Luxembourg had the highest average monthly salaries of employees.

  5. T

    Russia Average Monthly Wages

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Nov 6, 2022
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    TRADING ECONOMICS (2022). Russia Average Monthly Wages [Dataset]. https://tradingeconomics.com/russia/wages
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Nov 6, 2022
    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, 1990 - Dec 31, 2024
    Area covered
    Russia
    Description

    Wages in Russia increased to 128665 RUB/Month in December from 86399 RUB/Month in November of 2024. This dataset provides the latest reported value for - Russia Average Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. 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
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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 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.

  7. Average weekly earnings by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 28, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Average weekly earnings by industry, annual [Dataset]. http://doi.org/10.25318/1410020401-eng
    Explore at:
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.

  8. F

    Average Weekly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Average Weekly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000011
    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 Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to Feb 2025 about earnings, establishment survey, private, employment, and USA.

  9. V

    Vietnam AMI: Female: Dien Bien

    • ceicdata.com
    Updated Apr 23, 2024
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    CEICdata.com (2024). Vietnam AMI: Female: Dien Bien [Dataset]. https://www.ceicdata.com/en/vietnam/average-monthly-income-wage-workers-by-provinces-annual
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    Dataset updated
    Apr 23, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    AMI: Female: Dien Bien data was reported at 7,643.000 VND th in 2022. This records an increase from the previous number of 7,311.000 VND th for 2021. AMI: Female: Dien Bien data is updated yearly, averaging 6,057.000 VND th from Dec 2011 (Median) to 2022, with 12 observations. The data reached an all-time high of 7,643.000 VND th in 2022 and a record low of 3,559.000 VND th in 2011. AMI: Female: Dien Bien data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G053: Average Monthly Income: Wage Workers: By Provinces: Annual.

  10. F

    Expenditures: Total Average Annual Expenditures by Occupation: Total Wage...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Expenditures: Total Average Annual Expenditures by Occupation: Total Wage and Salary Earners [Dataset]. https://fred.stlouisfed.org/series/CXUTOTALEXPLB1203M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for Expenditures: Total Average Annual Expenditures by Occupation: Total Wage and Salary Earners (CXUTOTALEXPLB1203M) from 1984 to 2023 about occupation, salaries, average, expenditures, wages, and USA.

  11. W

    Year-On-Year Change (%) In Average Monthly Nominal Earnings Per Employee,...

    • cloud.csiss.gmu.edu
    csv
    Updated Jun 24, 2019
    + more versions
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    Singapore (2019). Year-On-Year Change (%) In Average Monthly Nominal Earnings Per Employee, Annual [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/changes-in-average-monthly-nominal-earnings-per-employee-annual
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 24, 2019
    Dataset provided by
    Singapore
    Description

    Source : Derived based on data from Central Provident Fund Board Notes : 1) Average (Mean) Monthly Earnings (AME) refers to all remuneration received before deduction of the employee Central Provident Fund (CPF) contributions and personal income tax. It comprises basic wages, overtime pay, commissions, allowances and bonuses but exclude employer CPF contributions. 2) Data cover full-time and part-time employees who have CPF contributions. They exclude identifiable self-employed persons who have made CPF contribution. 3) Average (Mean) Monthly Earnings covers employees who contribute to the Central Provident Fund. Available quarterly, AME provides a timely rough gauge of average wage movement. However, the AME can be influenced by the changing mix of full-time and part-time workers and variations in overtime as the data are compiled based on the payroll of contributors to the CPF which do not allow for breakdown separately to full-timers and part-timers. Also, as AME pertains to mean earnings, it can be skewed upwards by a small number of very high income earners. For income of a typical worker, users should refer to the median Gross Monthly Income From Work and for wage growth of employees over a year they can refer to the Annual Wage Changes, both of which are available on MOM’s website.

  12. Average annual wages in Ireland 2000-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Average annual wages in Ireland 2000-2023 [Dataset]. https://www.statista.com/statistics/416212/average-annual-wages-ireland-y-on-y-in-euros/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ireland
    Description

    The average salary in Ireland was 53,987 euros per year in 2023, compared with 52,067 in 2022.

  13. N

    Norway, IA 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). Norway, IA 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/norway-ia-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
    Iowa, Norway
    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 Norway. 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 Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

    - Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 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 lower gender pay gap percentage. This indicates that Norway offers better opportunities for women in non-full-time positions.

    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 Norway median household income by race. You can refer the same here

  14. N

    Kern County, CA annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Kern County, CA 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/kern-county-ca-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
    Kern County, California
    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 Kern County. 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 Kern County, the median income for all workers aged 15 years and older, regardless of work hours, was $37,912 for males and $24,984 for females.

    These income figures highlight a substantial gender-based income gap in Kern County. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the county of Kern County.

    - Full-time workers, aged 15 years and older: In Kern County, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,108, while females earned $45,752, leading to a 23% gender pay gap among full-time workers. This illustrates that women earn 77 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Kern County.

    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 Kern County median household income by race. You can refer the same here

  15. F

    Average Hourly Earnings of All Employees, Construction

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Construction [Dataset]. https://fred.stlouisfed.org/series/CES2000000003
    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 Average Hourly Earnings of All Employees, Construction (CES2000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, construction, wages, employment, and USA.

  16. B

    Belgium Monthly Earnings

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Belgium Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/belgium/monthly-earnings
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2010 - Sep 1, 2021
    Area covered
    Belgium
    Description

    Key information about Belgium Monthly Earnings

    • Belgium Monthly Earnings stood at 4,645 USD in Sep 2021, compared with the previous figure of 4,289 USD in Sep 2020
    • Belgium Monthly Earnings data is updated yearly, available from Sep 1999 to Sep 2021, with an average number of 3,946 USD
    • The data reached the an all-time high of 4,645 USD in Sep 2021 and a record low of 2,132 USD in Sep 2001

    CEIC converts Monthly Earnings into USD. Directorate-General Statistics - Statistics Belgium provides Average Monthly Earnings of full-time employees in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings include Wages paid for overtime, Bonuses for shift work, Nights or weekends, and exclude Premiums or Unscheduled and Holiday pay. Monthly Earnings are in annual frequency, ending in September of each year.


    Further information about Belgium Monthly Earnings

    • In the latest reports, Belgium Population reached 12 million people in Dec 2023
    • Unemployment Rate of Belgium increased to 6 % in May 2024
    • The country's Labour Force Participation Rate increased to 71 % in Dec 2023

  17. Average annual earnings for part-time employees in the UK 1999-2024

    • statista.com
    Updated Feb 13, 2025
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    Statista (2025). Average annual earnings for part-time employees in the UK 1999-2024 [Dataset]. https://www.statista.com/statistics/802203/part-time-annual-salary-in-the-uk/
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    United Kingdom
    Description

    Part-time employees in the United Kingdom earned an average annual salary of 13,910 British pounds in 2024, compared with people who worked full-time who earned around 37,430 pounds a year.

  18. B

    Brazil Average Real Monthly Income: Usual Earnings: Northeast: Bahia

    • ceicdata.com
    Updated May 28, 2017
    + more versions
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    CEICdata.com (2017). Brazil Average Real Monthly Income: Usual Earnings: Northeast: Bahia [Dataset]. https://www.ceicdata.com/en/brazil/average-real-monthly-household-income-usual-earning/average-real-monthly-income-usual-earnings-northeast-bahia
    Explore at:
    Dataset updated
    May 28, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Brazil Average Real Monthly Income: Usual Earnings: Northeast: Bahia data was reported at 1,546.000 BRL in 2017. This records an increase from the previous number of 1,329.000 BRL for 2016. Brazil Average Real Monthly Income: Usual Earnings: Northeast: Bahia data is updated yearly, averaging 1,437.500 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 1,546.000 BRL in 2017 and a record low of 1,329.000 BRL in 2016. Brazil Average Real Monthly Income: Usual Earnings: Northeast: Bahia data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF050: Average Real Monthly Household Income: Usual Earning.

  19. Average full-time hourly wage in the UK 2024, by age and gender

    • statista.com
    Updated Dec 20, 2024
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    Statista (2024). Average full-time hourly wage in the UK 2024, by age and gender [Dataset]. https://www.statista.com/statistics/802108/hourly-pay-employees-in-the-uk/
    Explore at:
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    In 2024, men in the United Kingdom had a higher average hourly full-time salary than women across most age groups, except for 16 to 17 when women had slightly higher earnings, and among those aged between 18 and 21, earnings were almost the same.

  20. Average monthly earnings in Finland 2013-2023, by sector

    • statista.com
    Updated Jun 25, 2024
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    Statista (2024). Average monthly earnings in Finland 2013-2023, by sector [Dataset]. https://www.statista.com/statistics/529917/finland-average-monthly-earnings-by-sector/
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    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Finland
    Description

    In 2023, the average monthly earnings in Finland amounted to 3,926 euros. The average earnings in the central government sector reached 4,345 euros per month, while the corresponding figure in the private sector was 4,025 euros per month. Since 2013, the average monthly earnings within all sectors increased nearly every year. The gender pay gap remains Despite an overall increase in average earnings across all sectors, the gender pay gap in Finland has remained relatively stable, with men continuing to earn higher salaries than women. As of 2023, men earned around 650 euros more on average than women. However, the employment rate among women was higher than among men. Finland's aging population Finland's population is getting older, as can be seen through the increasing median age of its inhabitants. Between 1960 and 2023, the crude birth rate more than halved. In 2023, 7.8 births were recorded per 1,000 population of the country. Moreover, there is a gender gap in Finland's life expectancy, with women expected to live roughly five years longer than men.

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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

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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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