Key Takeaways
- In May 2024, U.S. construction employment stood at 8,013,000, an increase of 16,000 from April 2024.
- As of December 2023, total construction employment in the U.S. reached 8,013,000 workers.
- Construction sector employed 7,980,000 people in the U.S. as of November 2023.
- In June 2024, construction employment rose by 20,000 to 8,033,000 in the U.S.
- Year-over-year construction employment growth was 1.2% from June 2023 to June 2024.
- Construction added 217,000 jobs over the 12 months ending May 2024.
- Median age of construction workers increased 1.2 years from 2019 to 2023 to 42.5 years.
- 88.2% of construction workers were men in 2023.
- White workers comprised 62.3% of construction employment in 2023.
- Annual mean wage for construction laborers was $45,300 in May 2023.
- Carpenters hourly mean wage: $29.47 in 2023.
- Construction managers annual mean wage: $110,340.
- Construction employment projected to grow 4% from 2023 to 2033, adding 252,400 jobs.
- Construction laborers projected openings: 149,000 annually through 2033.
- Carpenters job growth: 2% from 2023-2033, slower than average.
Construction employment is steadily growing, with job gains across many states and specialties.
Employment Levels
Employment Levels Interpretation
Growth Rates
Growth Rates Interpretation
Industry Trends and Projections
Industry Trends and Projections Interpretation
Wages and Benefits
Wages and Benefits Interpretation
Worker Characteristics
Worker Characteristics 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.
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.
Sources & References
- Reference 1BLSbls.gov
bls.gov
- Reference 2CENSUScensus.gov
census.gov
- Reference 3AGCagc.org
agc.org
- Reference 4NAHBnahb.org
nahb.org
- Reference 5FREDfred.stlouisfed.org
fred.stlouisfed.org
- Reference 6OXFORDECONOMICSoxfordeconomics.com
oxfordeconomics.com
- Reference 7WHITEHOUSEwhitehouse.gov
whitehouse.gov
- Reference 8MCKINSEYmckinsey.com
mckinsey.com
- Reference 9DELOITTEwww2.deloitte.com
www2.deloitte.com
- Reference 10CONSTRUCTIONDIVEconstructiondive.com
constructiondive.com
- Reference 11DOLdol.gov
dol.gov
- Reference 12JLLjll.com
jll.com
- Reference 13ENERGYenergy.gov
energy.gov






