Key Takeaways
- 11% of global GDP is lost due to gender inequality, per estimates referenced in the 2023 World Economic Forum gender report
- In OECD countries, women spend 2.4x more time than men on unpaid care work (OECD 2023 gender equality indicators)
- In 2023, the median weekly earnings for women were $1,001 compared with $1,136 for men in the U.S., a gap of $135
- Women are 25% less likely than men to be employed in managerial roles in some OECD economies, per OECD labor gender gap analyses summarized in 2023
- Women held 49.6% of total employment in the EU-27 in 2023 (Eurostat employment by sex)
- Female unemployment rate was 6.0% and male unemployment rate 6.1% in the EU-27 in 2023 (Eurostat harmonized unemployment rate by sex)
- 47% of women worldwide report experiencing gender-based violence at least once in their lifetime (WHO 2021 global estimate)
- 31% of women in the U.S. report experiencing stalking (lifetime prevalence), per the 2023 National Crime Victimization Survey (NCVS) report.
- Women received 61% of undergraduate degrees in 2019 in the U.S. (NCES), indicating educational attainment parity with varying persistence into labor force
- In 2022, women earned 58% of bachelor’s degrees in the U.S., per NCES Education Digest
- In the WEF Global Gender Gap Report 2023, the estimated time to close the overall gap is 131 years (2023 projection)
- The WEF Global Gender Gap Report 2024 ranks gender inequality as largest in economic participation with the lowest parity score among subindices
- In the U.S., women’s share of STEM degrees is 35% for computer science and 44% for biological sciences (NCES/NSF compilation for recent years)
- Women represent 29% of engineering professionals in the U.S. labor force (U.S. BLS/NSF-reported STEM workforce breakdown, 2022)
- Women account for 36% of data scientists worldwide in 2023 Stack Overflow Developer Survey gender breakdown
Gender inequality costs the world 11 percent of GDP and still takes 131 years to close.
Related reading
01 · Category
Economic Impact2 stats
Economic Impact Interpretation
02 · Category
Pay And Earnings1 stats
Pay And Earnings Interpretation
03 · Category
Workforce Participation4 stats
Workforce Participation Interpretation
04 · Category
Workplace Safety2 stats
Workplace Safety Interpretation
05 · Category
Education To Employment2 stats
Education To Employment Interpretation
06 · Category
Policy And Indices2 stats
Policy And Indices Interpretation
More related reading
07 · Category
Stem Representation3 stats
Stem Representation Interpretation
08 · Category
Labor Market5 stats
Labor Market Interpretation
09 · Category
Leadership Representation1 stats
Leadership Representation Interpretation
10 · Category
Education & Skills1 stats
Education & Skills Interpretation
11 · Category
Health & Safety3 stats
Health & Safety Interpretation
12 · Category
Gender Income & Wealth3 stats
Gender Income & Wealth Interpretation
Key Gender Gaps Across Work and Pay
Women face measurable gaps in time use, employment patterns, and earnings compared with men across multiple datasets.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Henrik Dahl. (2026, February 13). Gender Gap Statistics. Gitnux. https://gitnux.org/gender-gap-statistics
Henrik Dahl. "Gender Gap Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gender-gap-statistics.
Henrik Dahl. 2026. "Gender Gap Statistics." Gitnux. https://gitnux.org/gender-gap-statistics.
Sources & references
29 datasets cited across this report · attribution is report-level
+10 additional datasets cited (not shown individually)

