100+ datasets found
  1. Global gender pay gap 2015-2025

    • statista.com
    Updated Feb 25, 2026
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    Statista (2026). Global gender pay gap 2015-2025 [Dataset]. https://www.statista.com/statistics/1212140/global-gender-pay-gap/
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    Dataset updated
    Feb 25, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The difference between the earnings of women and men shrank slightly over the past years. Considering the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women earned one U.S. cent less. By comparison, the uncontrolled gender pay gap measures the median salary for all men and all women across all sectors and industries and regardless of location and qualification. In 2025, the uncontrolled gender pay gap in the world stood at 0.83, meaning that women earned 0.83 dollars for every dollar earned by men.

  2. Gender pay gap between men and women in Germany 2025

    • statista.com
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    Statista, Gender pay gap between men and women in Germany 2025 [Dataset]. https://www.statista.com/statistics/1407077/men-women-gender-pay-gap/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2025, the gender pay gap in Germany was around 16 percent. This meant that wages for men were on average 16 percent higher than for women. Figures have gradually decreased since 2009.

  3. Gender pay gap

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Oct 23, 2025
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    Office for National Statistics (2025). Gender pay gap [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/annualsurveyofhoursandearningsashegenderpaygaptables
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    zipAvailable download formats
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Annual gender pay gap estimates for UK employees by age, occupation, industry, full-time and part-time, region and other geographies, and public and private sector. Compiled from the Annual Survey of Hours and Earnings.

  4. 2026 Gender Pay Gap Report

    • payscale.com
    Updated Mar 24, 2026
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    Payscale (2026). 2026 Gender Pay Gap Report [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Mar 24, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Time period covered
    2010 - 2026
    Area covered
    United States
    Variables measured
    Equal Pay Day 2026, Annual Median Pay Difference, Controlled Gender Pay Gap 2026, Uncontrolled Gender Pay Gap 2026, Lifetime Earnings Gap (40-year career), Annual Collective Lost Earnings — U.S. Women
    Measurement technique
    Multivariate regression analysis controlling for job title, years of experience, education, industry, location, and other compensable factors; median total cash compensation comparison
    Description

    Payscale's 2026 Gender Pay Gap Report reveals that women earn $0.82 for every $1 earned by men (uncontrolled) and $0.99 when controlling for job title and compensable factors. Based on 130,000+ U.S. salary survey responses, it analyzes the gender pay gap by race, age, education, parental status, remote work status, industry, occupation, U.S. state, and career level — including lifetime earnings projections and pay transparency law analysis.

  5. Gender Pay Gap by U.S. State 2026

    • payscale.com
    Updated Jan 15, 2026
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    Payscale (2026). Gender Pay Gap by U.S. State 2026 [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Jan 15, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    Authors
    Payscale
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Area covered
    United States
    Variables measured
    State, Has Pay Transparency Law, Controlled Gender Pay Gap, Uncontrolled Gender Pay Gap
    Description

    19 states have closed the controlled gender pay gap in 2026. 9 of 15 states with pay transparency laws closed the controlled gap. No state has closed the uncontrolled gap. States closed for 3+ consecutive years: California, Connecticut, Maryland, New Jersey, New York, Oregon, Washington D.C.

  6. Gender pay gap 2024, by state in the U.S.

    • statista.com
    Updated Feb 16, 2026
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    Statista (2026). Gender pay gap 2024, by state in the U.S. [Dataset]. https://www.statista.com/statistics/244361/female-to-male-earnings-ratio-of-workers-in-the-us-by-state/
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    Dataset updated
    Feb 16, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the District of Columbia had the highest earnings ratio for women, as female workers earned ***** percent of their male counterparts on average. The state of Utah had the lowest earnings ratio for female workers, who earned ***** percent of what their male counterparts earn.

  7. Gender Pay Gap by Parental Status 2026

    • payscale.com
    Updated Jan 15, 2026
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    Payscale (2026). Gender Pay Gap by Parental Status 2026 [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Jan 15, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    Authors
    Payscale
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Variables measured
    Controlled Gender Pay Gap, Uncontrolled Gender Pay Gap, Is Parent or Primary Caregiver
    Description

    Women who are parents or primary caregivers earn $0.74 for every dollar earned by a man (uncontrolled), versus $0.90 for women without children. Controlled: mothers earn $0.99, women without children earn near-parity.

  8. P

    Gender Pay Gap in Wages by country, urbanisation, and disability status

    • pacificdata.org
    • pacific-data.sprep.org
    csv
    Updated Sep 26, 2024
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    SPC (2024). Gender Pay Gap in Wages by country, urbanisation, and disability status [Dataset]. https://pacificdata.org/data/dataset/gender-pay-gap-in-wages-by-country-urbanisation-and-disability-status-df-gwg
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    csvAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 2012 - Dec 31, 2021
    Description

    This table describes gender pay gap and is defined as the ratio of the gross earnings between women and men. The disaggregation variables are subject to data availability and where the numbers are lesser than 6, the disaggregation will be dropped.

    Find more Pacific data on PDH.stat.

  9. Latin America & Caribbean: gender pay gap index 2025, by country

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Latin America & Caribbean: gender pay gap index 2025, by country [Dataset]. https://www.statista.com/statistics/806368/latin-america-gender-pay-gap-index/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Latin America
    Description

    In 2025, Barbados was the country with the highest gender pay gap index in Latin America and the Caribbean, with a score of 0.87. Guatemala, on the other hand, had the worst score in the region, at 0.46 points. This shows that, on average, women's income in Guatemala represents only 46 percent of the income received by men. Is the gender pay gap likely to be bridged? In a 2021 survey, 55 percent of respondents in Peru thought it was likely that women will be paid as much as men for the same work. This was one of the most optimistic perspectives when compared to the other Latin American nations surveyed. For instance, in Brazil, only one third of the adults interviewed said that this would be possible in the near future. Based on people's views on salary equality, Mexico was found to be one of the Latin American countries with the best wage equality perception index, which shows that the population's perceptions do not always match reality. In Mexico, the gender pay gap based on estimated income stood at 0.52. The software pay gap in Mexico The digital era does not necessarily favor income equality between genders. Recent data shows that men working in the Mexican software industry receive significantly higher monthly salaries than women or non-binary persons. Wage differences based on gender were specially noticeable in the field of software architecture, where a woman's salary represented, on average, only 60 percent of what a man would earn for performing the same tasks in a comparable position.

  10. Gender pay gap in European countries 2024

    • statista.com
    Updated Mar 2, 2026
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    Statista (2026). Gender pay gap in European countries 2024 [Dataset]. https://www.statista.com/statistics/1203135/gender-pay-gap-in-europe-by-country/
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    Dataset updated
    Mar 2, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    Men in the European Union earned approximately 11 percent more than women in 2024, with Estonia having the biggest gender pay gap of almost 19 percent and Luxembourg having the lowest at minus 0.8 percent, meaning that, on average, women actually earned more than men in Luxembourg during that year.

  11. Gender Pay Gap by Remote Work Status 2026

    • payscale.com
    Updated Jan 15, 2026
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    Payscale (2026). Gender Pay Gap by Remote Work Status 2026 [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Jan 15, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    Authors
    Payscale
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Variables measured
    Remote Work Status, Controlled Gender Pay Gap, Uncontrolled Gender Pay Gap
    Description

    The uncontrolled pay gap is widest for women who work from home as needed ($0.76) and narrowest for women who cannot telecommute ($0.89).

  12. U.S. gender pay gap by age group Q4 2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). U.S. gender pay gap by age group Q4 2023 [Dataset]. https://www.statista.com/statistics/244383/female-to-male-earnings-ratio-of-workers-in-the-us-by-age/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the female to male earnings ratio in the United States in the fourth quarter of 2022, based on the median income in current U.S. dollars, by age group. In the fourth quarter of 2022, the earnings ratio of female to male workers aged between 16 to 24 years was at about 92.9 percent.

  13. Gender Pay Gap by Age Group 2026

    • payscale.com
    Updated Jan 15, 2026
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    Payscale (2026). Gender Pay Gap by Age Group 2026 [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Jan 15, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    Authors
    Payscale
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Time period covered
    2018 - 2026
    Variables measured
    Age Group, Controlled Gender Pay Gap, Uncontrolled Gender Pay Gap
    Description

    Uncontrolled and controlled gender pay gap by age bracket. Ages 20–29: $0.86 uncontrolled, $1.00 controlled (parity). Ages 30–44: $0.80 uncontrolled, $0.98 controlled. Ages 45+: $0.71 uncontrolled, $0.97 controlled — gap widens significantly with age.

  14. Data from: Presentation of the Gender Pay Gap

    • data.europa.eu
    html
    Updated Apr 30, 2021
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    Office for National Statistics (2021). Presentation of the Gender Pay Gap [Dataset]. https://data.europa.eu/data/datasets/presentation_of_the_gender_pay_gap?locale=et
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 30, 2021
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    A paper outlining how the gender pay gap will be presented in future ONS Statistical Bulletins

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: Presentation of the Gender Pay Gap: ONS Position Paper

  15. s

    Gender Pay Gap - Dataset - CKAN

    • cobaltadmin.sgdatacatalogue.net
    Updated Jul 22, 2025
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    (2025). Gender Pay Gap - Dataset - CKAN [Dataset]. https://cobaltadmin.sgdatacatalogue.net/dataset/rfdhg345dsv
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    Dataset updated
    Jul 22, 2025
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This indicator measures the difference between male and female median earnings ( gross hourly earnings excluding overtime), expressed as a percentage of male earnings. Estimates are workplace based and cover employees on adult rates whose pay for the survey pay-period was not affected by absence. The median and mean gross weekly earnings (before deductions for Tax National Insurance) of full-time employees on adult rates, whose pay for the survey period was not affected by absence. For 2020 data, this has been expanded to include those who were not furloughed under the Coronavirus Job Retention Scheme (CJRS) but had their pay affected by absence. The self-employed are excluded from this study. This information is obtained from the Annual Survey of Hours Earnings (ASHE). This is an Office for National Statistics (ONS) publication. For more information see ASHE Methodology and Guidance.

  16. Gender Pay Gap by Industry 2026

    • payscale.com
    Updated Jan 15, 2026
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    Payscale (2026). Gender Pay Gap by Industry 2026 [Dataset]. https://www.payscale.com/featured-content/gender-pay-gap
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    Dataset updated
    Jan 15, 2026
    Dataset provided by
    PayScalehttp://www.payscale.com/
    Authors
    Payscale
    License

    https://www.payscale.com/about/terms-of-usehttps://www.payscale.com/about/terms-of-use

    Variables measured
    Industry, Controlled Gender Pay Gap, Percent Women in Industry, Uncontrolled Gender Pay Gap
    Description

    4 industries closed the controlled pay gap in 2026: Engineering, Science & Technology, Real Estate, and Arts/Entertainment. Finance & Insurance has the widest uncontrolled gap at $0.79. Accommodation & Food Services is nearest parity uncontrolled at $0.97.

  17. U.S. gender wage gap, by industry 2021

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). U.S. gender wage gap, by industry 2021 [Dataset]. https://www.statista.com/statistics/244202/us-gender-wage-gap-by-industry/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, female employee earnings were outpaced by male earnings across nearly all industries, with sharp disparities in the professional and technical services industry, as well as the finance and insurance industry. In that year, there were no industries in which women earned more than men.

  18. Gender pay gap in OECD countries 2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Gender pay gap in OECD countries 2023 [Dataset]. https://www.statista.com/statistics/934039/gender-pay-gap-select-countries/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    OECD, Worldwide
    Description

    As of 2023, South Korea is the country with the highest gender pay gap among OECD countries, with a **** percent difference between the genders. The gender pay gap displays the difference between the median wages of full-time employed men and full-time employed women.

  19. Understanding the gender pay gap, UK, Annual Survey of Hours and Earnings:...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 17, 2018
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    Office for National Statistics (2018). Understanding the gender pay gap, UK, Annual Survey of Hours and Earnings: regression dataset [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/understandingthegenderpaygapukannualsurveyofhoursandearningsregressiondataset
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 17, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Results of statistical modelling exploring linear regression and Blinder-Oaxaca decomposition.

  20. N

    Walnut Creek, CA annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Walnut Creek, 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/walnut-creek-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
    Walnut Creek, 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 Walnut Creek. 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 Walnut Creek, the median income for all workers aged 15 years and older, regardless of work hours, was $83,350 for males and $59,369 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 29% between the median incomes of males and females in Walnut Creek. With women, regardless of work hours, earning 71 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Walnut Creek.

    - Full-time workers, aged 15 years and older: In Walnut Creek, among full-time, year-round workers aged 15 years and older, males earned a median income of $132,457, while females earned $104,982, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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.

    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 Walnut Creek, 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 Walnut Creek median household income by race. You can refer the same here

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Statista (2026). Global gender pay gap 2015-2025 [Dataset]. https://www.statista.com/statistics/1212140/global-gender-pay-gap/
Organization logo

Global gender pay gap 2015-2025

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 25, 2026
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

The difference between the earnings of women and men shrank slightly over the past years. Considering the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women earned one U.S. cent less. By comparison, the uncontrolled gender pay gap measures the median salary for all men and all women across all sectors and industries and regardless of location and qualification. In 2025, the uncontrolled gender pay gap in the world stood at 0.83, meaning that women earned 0.83 dollars for every dollar earned by men.

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