Key Takeaways
- 4.0% unemployment rate in the Euro Area (seasonally adjusted) in March 2026—share of the labor force without work but available and actively seeking employment.
- 0.9 million fewer people in employment in the United States year-over-year in April 2026 (seasonally adjusted)—change in the number of employed persons compared with the prior year.
- The U.S. number of unemployed persons was 6.6 million in April 2026—people without work and available for work.
- 3.4% annual growth in U.S. total nonfarm job openings in 2025 (latest annual measure)—change in job openings relative to the prior year.
- The U.S. BLS reported 1.6 million layoffs and discharges in February 2026—count of employee separations due to layoffs/discharges.
- The World Bank estimated global working poverty (in US$2.15/day line) at 8.4% in 2019—share of workers living in extreme poverty (baseline for labor market welfare).
- Global labor income share averaged 52.2% of GDP in 2023 (OECD estimate)—share of income accruing to labor.
- In the United States, real average hourly earnings (seasonally adjusted) were up 1.7% year-over-year in April 2026—inflation-adjusted earnings growth.
- The U.S. Bureau of Labor Statistics reported 2.9 million employed people working part-time for economic reasons in April 2026—people who want and are available for full-time work but can't get it.
- ILO estimated global working hours were 40.0 hours per week on average in 2024—average usual weekly hours worked.
- In the United States, 27.2% of workers were in a union in 2025—share of wage and salary workers that were union members.
- OECD estimated that adults with low skills (literacy/proficiency) were 24% of the adult population in 2023—share with basic skill deficits relevant to labor market outcomes.
- In the U.S., 4.9% of workers participated in on-the-job training in 2024 (latest CPS supplemental)—share engaging in job-related training.
- The U.S. Department of Commerce estimated that 4.4 million workers were employed in STEM occupations in 2022—labor market size for STEM talent.
- McKinsey estimated that genAI could add $2.6 to $4.4 trillion annually to global economic output (2023)—potential economic value from AI-driven productivity improvements, including labor market effects.
Job markets stayed mixed in March to April 2026 with low unemployment in Europe but ongoing U.S. layoffs.
Unemployment & Participation
Unemployment & Participation Interpretation
Job Vacancies & Hiring
Job Vacancies & Hiring Interpretation
Wages & Income
Wages & Income Interpretation
Labor Conditions
Labor Conditions Interpretation
Productivity & Skills
Productivity & Skills Interpretation
Industry Trends
Industry Trends Interpretation
Employment Levels
Employment Levels Interpretation
Vacancies & Hiring
Vacancies & Hiring Interpretation
Wage & Productivity
Wage & Productivity Interpretation
Labor Force Participation
Labor Force Participation 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). Labor Market Statistics. Gitnux. https://gitnux.org/labor-market-statistics
Henrik Dahl. "Labor Market Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/labor-market-statistics.
Henrik Dahl. 2026. "Labor Market Statistics." Gitnux. https://gitnux.org/labor-market-statistics.
References
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- 17ec.europa.eu/eurostat/statistics-explained/index.php?title=Gender_pay_gap_statistics
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- 11worldbank.org/en/topic/jobsanddevelopment/brief/working-poverty-and-jobs
- 22worldbank.org/en/topic/poverty/brief/informality
- 12oecd.org/en/data/indicators/labour-income-share.html
- 23oecd.org/en/data/indicators/low-level-skills.html
- 14ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/averageweeklyearnings
- 19ilostat.ilo.org/topics/working-time/
- 25nsf.gov/statistics/2024/nsf24306/report/chapter-4/stem-occupations.html
- 26stats.oecd.org/Index.aspx?DataSetCode=EAG_NEAC
- 27mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
- 28weforum.org/publications/the-future-of-jobs-report-2023/
- 29fortunebusinessinsights.com/recruitment-process-outsourcing-market-106786
- 30gartner.com/en/newsroom/press-releases/2024-05-21-gartner-forecast-worldwide-hr-software-spending-to-grow-to-







