Key Takeaways
- 12.2% of total U.S. employment was in Construction in 2024 (seasonally adjusted employment average)
- -2.0% year-over-year change in U.S. Construction employment in 2023 (employment level change, seasonally adjusted)
- -0.2% year-over-year change in U.S. Construction employment in January 2024 (not seasonally adjusted)
- 4.0% construction labor turnover rate in 2023 (U.S. rolling annual)
- Construction workers’ median weekly earnings were $1,001 in the U.S. in 2024
- $83.9 billion total labor compensation for Construction in the U.S. in 2022
- 62% of U.S. contractors reported hiring is the top challenge in 2024 (Associated Builders and Contractors survey)
- 25% of construction contractors reported using AI for scheduling or estimating in 2024 (industry survey)
- $4.1 billion global modular construction market expected in 2030 (industry forecast)
- Construction’s hires-to-openings ratio was 0.79 in December 2023 (JOLTS measure of hiring relative to openings).
- In 2023, Construction had 7.3 million employees in the BLS Quarterly Census of Employment and Wages (QCEW) industry sector definition (annual mean).
- The U.S. median weekly earnings for construction laborers were $1,043 in 2023 (median weekly earnings).
- In 2024, the median hourly wage for construction equipment operators was $31.00 in the U.S. (OEWS 2024).
- In 2024, the median hourly wage for plumbers, pipefitters, and steamfitters was $35.50 in the U.S. (OEWS 2024).
- 5.1% of construction workers in the U.S. reported being self-employed in 2023 (share of employment).
Construction employed 12.2% of U.S. workers in 2024, with median weekly earnings of $1,001 and hiring pressures rising.
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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.
Christopher Morgan. (2026, February 13). Construction Employment Statistics. Gitnux. https://gitnux.org/construction-employment-statistics
Christopher Morgan. "Construction Employment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/construction-employment-statistics.
Christopher Morgan. 2026. "Construction Employment Statistics." Gitnux. https://gitnux.org/construction-employment-statistics.
References
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