Key Takeaways
- The global unemployment rate stood at 5.1% in 2022, affecting approximately 205 million people worldwide, according to the International Labour Organization's World Employment and Social Outlook report
- In 2023, youth unemployment (ages 15-24) globally reached 13.8%, with 72.7 million young people unemployed, per ILO data
- Sub-Saharan Africa's unemployment rate was 5.9% in 2022, higher than the global average due to structural issues, from ILOSTAT database
- The US unemployment rate was 3.7% in December 2023, with 6.3 million unemployed, Bureau of Labor Statistics (BLS)
- US Black or African American unemployment rate was 5.3% in July 2024, BLS Current Population Survey
- In 2023 annual average, US unemployment was 3.6%, lowest since 1969, BLS
- Euro area unemployment rate was 6.4% in July 2024, Eurostat
- Germany's unemployment rate 3.3% in July 2024, Destatis/Federal Employment Agency
- Spain's unemployment hit 11.3% in Q2 2024, highest in EU, INE Spain
- Global youth unemployment rate (15-24) was 13.2% in 2023, affecting 64.8 million, ILO
- In the US, Black youth unemployment was 15.2% in 2023, BLS
- Women aged 25-34 unemployment globally 6.1% in 2022, ILOSTAT
- US retail trade unemployment 4.5% in July 2024, BLS CES
- Global agriculture sector employs 27% of workforce but high underemployment, ILO
- US leisure and hospitality unemployment 5.2% in July 2024, BLS
Global unemployment varies by region, age, and gender, with youth disproportionately affected.
Demographic Unemployment
Demographic Unemployment Interpretation
EU Unemployment
EU Unemployment Interpretation
Global Unemployment
Global Unemployment Interpretation
Long-term Unemployment
Long-term Unemployment Interpretation
Sectoral Unemployment
Sectoral Unemployment Interpretation
US Unemployment
US Unemployment 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.
Marcus Engström. (2026, February 13). Unemployment Statistics. Gitnux. https://gitnux.org/unemployment-statistics
Marcus Engström. "Unemployment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/unemployment-statistics.
Marcus Engström. 2026. "Unemployment Statistics." Gitnux. https://gitnux.org/unemployment-statistics.
Sources & References
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- Reference 7DATAdata.un.org
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- Reference 8BLSbls.gov
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