Key Takeaways
- $32.04 average hourly earnings for production and nonsupervisory employees in manufacturing in the U.S. (May 2024)
- 4.0% annual wage growth for U.S. civilian workers in 2023 (Employment Cost Index, total compensation)
- $45,760 median annual earnings for full-time wage and salary workers in the U.S. (2023)
- 4.4% unemployment rate for Asian workers in the U.S. (2023, annual average)
- 25.5 million people were employed in the U.S. leisure and hospitality sector in 2023
- 58.5% of workers in the U.S. have access to paid sick leave (2023)
- 25 jurisdictions in the U.S. had a minimum wage above the federal level as of 2024
- 14.3 million workers in the U.S. belonged to unions in 2023
- 8.6 million jobs in the U.S. required digital skills in 2023 (OECD estimates)
- 31% of workers in OECD countries reported that their job requires advanced digital skills (2022 PIAAC/ OECD)
- 43% of companies say skills shortages are impacting their ability to grow revenue (World Economic Forum, Global Risks/Workforce reports, 2024)
- 21% of employees report that their employer uses AI to screen resumes (2024 global survey)
- 3.3 million U.S. employees used an employer-provided computer tool daily for work in 2023 (BLS ATUS/ICT supplement estimate)
- 78% of U.S. employers reported using online job postings to recruit in 2024 (BLS Job Openings and Labor Turnover context, JOLTS related employer survey)
- 66.7% of U.S. adults were working-age (ages 25–64) and had basic digital skills (EU and OECD benchmarking), according to the European Commission’s Digital Economy and Society report (latest published figures).
U.S. wages rose in real terms in 2023, while pay gaps and workplace risks persist.
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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.
Gabrielle Fontaine. (2026, February 13). Labor Statistics. Gitnux. https://gitnux.org/labor-statistics
Gabrielle Fontaine. "Labor Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/labor-statistics.
Gabrielle Fontaine. 2026. "Labor Statistics." Gitnux. https://gitnux.org/labor-statistics.
References
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- 36mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier







