Key Takeaways
- The construction sector is responsible for about 13% of the global GDP (World Bank estimate)
- In the United States, nonresidential construction expenditures were $1.68 trillion in 2022
- In the United States, residential fixed investment was $2.49 trillion in 2022
- Construction spending in the US increased from $1.68 trillion (2021) to $1.76 trillion (2022) (US Census/BEA via FRED series)
- In the US, construction labor force participation rate was 66.2% in 2023 (BLS CPS, construction NAICS)
- In the US, employment in construction was 7.6 million in April 2024 (BLS CES)
- Buildings are responsible for 37% of global energy-related CO2 emissions (IEA)
- Construction and building operations account for nearly 40% of global energy consumption (IEA)
- The building and construction sector is responsible for 34% of global CO2 emissions (UNEP 2023 GSR)
- In the US, the annual construction cost index (CPI for construction materials and services) rose 5.2% in 2022 (BLS CPI data)
- In the US, the Producer Price Index for inputs to construction rose by 2.3% in 2023 (BLS PPI)
- In the US, construction-related inflation measured by CPI-U “indexes for construction” was 5.7% year-over-year in March 2024 (BLS)
Construction drives 13% of global GDP, employs millions, and generates major emissions and material use.
Global Construction Economics
Global Construction Economics Interpretation
Construction Labor & Workforce
Construction Labor & Workforce Interpretation
Building Materials, Energy & Emissions
Building Materials, Energy & Emissions Interpretation
Technology, Policy & Risk
Technology, Policy & Risk 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.
Helena Kowalczyk. (2026, February 13). Wa Building Industry Statistics. Gitnux. https://gitnux.org/wa-building-industry-statistics
Helena Kowalczyk. "Wa Building Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/wa-building-industry-statistics.
Helena Kowalczyk. 2026. "Wa Building Industry Statistics." Gitnux. https://gitnux.org/wa-building-industry-statistics.
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