Key Takeaways
- 1.3 billion people worldwide are estimated to have experienced some form of violence or assault in the last year
- 30% of women worldwide have experienced physical and/or sexual intimate partner violence or non-partner sexual violence
- 1 in 3 women globally experiences physical and/or sexual violence at some point in their lives
- 26% of adults worldwide report having experienced discrimination in the past 12 months
- 30% of leadership roles are held by women worldwide in 2024
- Approximately 1 in 4 workers globally is in the informal economy, reducing access to fair labor protections
- 11.4% of the global workforce is in forced labor at any point in time (ILO estimate)
- ILO estimates show that 236 million children are in child labor (2020/21 estimates)
- In the European Union, an estimated €290 billion annually is the economic cost of violence against women (EU estimates)
- A 2020 OECD estimate puts discrimination in the labor market at $2,000–$3,000 per worker earnings gap (OECD cross-country evidence)
- The EU Corporate Sustainability Reporting Directive (CSRD) will apply to about 50,000 companies in scope (European Commission estimate)
- Section 106(a) of the Uyghur Forced Labor Prevention Act (2021) requires importers to consider forced labor risks; the statutory requirement is in effect for covered goods (measurable compliance requirement)
- The EU AI Act classifies certain AI systems as prohibited when they violate fundamental rights (measurable regulatory outcome under the law)
- In the U.S., Black workers are 2.0 times as likely as White workers to report discrimination at work (2022 survey; reported by NBER)—measures racial disparity in discrimination reports
- Women earn 77 cents for every $1 earned by men on average in the U.S. (2023)—measures national pay equity ratio
Billions still lack fair protection, from violence and forced labor to discrimination and unsafe water.
Related reading
Prevalence & Harm
Prevalence & Harm Interpretation
Discrimination & Equity
Discrimination & Equity Interpretation
More related reading
Labor & Rights
Labor & Rights Interpretation
Economic Impact
Economic Impact Interpretation
More related reading
Governance & Compliance
Governance & Compliance Interpretation
Discrimination Metrics
Discrimination Metrics Interpretation
More related reading
Pay Equity
Pay Equity Interpretation
AI & Governance
AI & Governance Interpretation
More related reading
Cost Analysis
Cost Analysis Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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). Fair Industry Statistics. Gitnux. https://gitnux.org/fair-industry-statistics
Henrik Dahl. "Fair Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/fair-industry-statistics.
Henrik Dahl. 2026. "Fair Industry Statistics." Gitnux. https://gitnux.org/fair-industry-statistics.
References
- 1who.int/news-room/fact-sheets/detail/violence-against-children
- 2who.int/news-room/fact-sheets/detail/violence-against-women
- 5who.int/news-room/fact-sheets/detail/sanitation
- 6who.int/news-room/fact-sheets/detail/drinking-water
- 3unwomen.org/en/what-we-do/ending-violence-against-women/facts-and-figures
- 4unodc.org/unodc/en/data-and-analysis/statistics/data.html
- 7data.unicef.org/topic/child-survival/under-five-mortality/
- 8worldbank.org/en/topic/fragilityconflictviolence/overview
- 9oecd.org/els/soc/Discrimination-in-crisis-times-2019.pdf
- 15oecd.org/social/family/Doing-Better-for-Children.pdf
- 10weforum.org/reports/global-gender-gap-report-2024/
- 11ilo.org/global/topics/employment-promotion/informal-economy/lang--en/index.htm
- 12ilo.org/global/topics/forced-labour/definition/lang--en/index.htm
- 13ilo.org/global/topics/child-labour/lang--en/index.htm
- 14ec.europa.eu/info/sites/default/files/violence_against_women_factsheet_en.pdf
- 16finance.ec.europa.eu/capital-markets-union-and-financial-markets/company-reporting-and-auditing/company-reporting/corporate-sustainability-reporting_en
- 17congress.gov/bill/117th-congress/house-bill/6210
- 18eur-lex.europa.eu/eli/reg/2024/1689/oj
- 19eur-lex.europa.eu/eli/reg/2016/679/oj
- 20eur-lex.europa.eu/eli/reg/2022/1925/oj
- 21legislation.gov.uk/ukpga/2010/15/contents
- 22complianceweek.com/annual-whistleblower-report-2023
- 23nber.org/papers/w29670
- 24census.gov/library/publications/2024/demo/p60-282.html
- 25bls.gov/cps/cpsaat01.htm
- 26fortunebusinessinsights.com/human-resource-ai-market-104501
- 27imarcgroup.com/regtech-market
- 28gartner.com/en/newsroom/press-releases/2023-03-22-gartner-survey-reveals-68-percent-of-organizations-use-hr-analytics
- 29ncsl.org/technology-and-communication/privacy-laws-across-states
- 30imf.org/en/Publications/WP/Issues/2019/05/22/How-Do-Governance-and-Institutions-Affect-Economic-Performance-46762
- 31spglobal.com/marketintelligence/en/news-insights/research/esg-performance-and-cost-of-debt-2022.html







