Key Takeaways
- Average compensation in US manufacturing is $28.50/hour in 2023
- 85% of industrial firms offer health insurance in 2023
- Overtime pay constitutes 5.2% of manufacturing payroll in 2022
- 45% turnover in first year for manufacturing entry-level hires in 2023
- Employee engagement in manufacturing averages 65% in 2023 Gallup polls
- 39% of industrial workers report burnout in 2022 surveys
- 67% of industrial firms report skill shortages in hiring as of 2023
- Time-to-hire in manufacturing averages 42 days in 2023
- 55% of manufacturers use AI in recruitment processes in 2023
- 71% of manufacturing training budgets increased in 2023
- 82% of industrial workers receive less than 10 hours annual training in 2022
- ROI on training in manufacturing averages 4:1 in 2023 studies
- In 2023, the manufacturing sector employed 12.9 million workers in the US, representing 8.1% of total nonfarm employment
- Women make up only 29% of the manufacturing workforce as of 2022
- The average age of manufacturing workers is 44.5 years in 2023, higher than the national average of 42.3
Manufacturing workers in the US earn $28.50 hourly with strong benefits and ongoing retention and training challenges.
Compensation, Benefits, and Compliance
Compensation, Benefits, and Compliance Interpretation
Employee Engagement and Retention
Employee Engagement and Retention Interpretation
Recruitment and Talent Acquisition
Recruitment and Talent Acquisition Interpretation
Training and Development
Training and Development Interpretation
Workforce Demographics
Workforce Demographics 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.
Nathan Caldwell. (2026, February 13). Hr In The Industrial Industry Statistics. Gitnux. https://gitnux.org/hr-in-the-industrial-industry-statistics
Nathan Caldwell. "Hr In The Industrial Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hr-in-the-industrial-industry-statistics.
Nathan Caldwell. 2026. "Hr In The Industrial Industry Statistics." Gitnux. https://gitnux.org/hr-in-the-industrial-industry-statistics.
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