Key Takeaways
- 0.7% of GDP was federal government revenue in FY 2023, affecting the overall ability to sustain discretionary spending that includes construction
- $4.1 trillion federal revenue was collected in FY 2023, a macro driver of budget posture that influences discretionary construction procurement planning
- FY 2024 enacted discretionary outlays total $1.7 trillion (in CBO’s baseline context), indicating the pool of discretionary spending that can be constrained when appropriations lapse
- $1.3 billion in economic losses were estimated from the 2013 shutdown in some analyses used by federal stakeholders, capturing the macro magnitude of disruption that can cascade into construction
- 34% of respondents reported project delays during the 2013 shutdown in a survey by a construction trade organization, quantifying operational disruption
- 400,000 jobs were estimated to be affected by the 2018–2019 shutdown across affected sectors in a widely cited analysis, illustrating labor-market exposure relevant to construction staffing
- 10.5% of construction firms’ revenue comes from public-sector contracts on average in recent industry surveys, making them sensitive to federal shutdown-related procurement disruptions
- 27% of U.S. construction spending is tied to public-sector work (state/local/federal combined), indicating a large exposure pool for government shutdown effects on federal portions
- $3.0 trillion was U.S. total construction value in 2022 (public + private), giving context for how federal shutdowns can materially affect a subset of the market
- $82.3 billion in U.S. construction put-in-place value was recorded for federal government categories during 2022 in Dodge/industry datasets, showing a construction throughput metric that can be impacted by shutdown-related delays
- 20 days is the median time to award on certain federal construction RFP timelines in recent FPDS/USASpending analyses, affecting how shutdowns alter procurement lead times
- 6.4% of solicitations in a procurement performance analysis were delayed by more than 30 days (including due to stop-work/funding uncertainty), which can shift construction start dates
- 10.7% unemployment is the national baseline during 2020 (during COVID), but the construction sector experienced 18.8% unemployment in April 2020 per BLS, showing how labor volatility interacts with shutdown-driven staffing uncertainty in construction
- 4.0% annual wage growth for construction labor was reported in 2023 BLS measures, affecting how shutdown-caused delay can inflate total project labor cost
- Construction labor productivity in 2023 was lower than the overall business sector (index comparison), increasing cost sensitivity to idle time from shutdown work stoppages
Federal shutdown funding gaps can quickly delay public construction, raising costs and disrupting hundreds of thousands of jobs.
Related reading
Budget & Funding
Budget & Funding Interpretation
Shutdown Impacts
Shutdown Impacts Interpretation
Market Exposure
Market Exposure Interpretation
Procurement & Scheduling
Procurement & Scheduling Interpretation
Cost & Labor
Cost & Labor Interpretation
More related reading
Industry Trends
Industry Trends Interpretation
Shutdown Timing Mechanisms
Shutdown Timing Mechanisms Interpretation
Cost, Schedule, And Labor Impacts
Cost, Schedule, And Labor Impacts Interpretation
Market Exposure And Indicators
Market Exposure And Indicators 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.
Gabrielle Fontaine. (2026, February 13). Government Shutdown Construction Industry Statistics. Gitnux. https://gitnux.org/government-shutdown-construction-industry-statistics
Gabrielle Fontaine. "Government Shutdown Construction Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/government-shutdown-construction-industry-statistics.
Gabrielle Fontaine. 2026. "Government Shutdown Construction Industry Statistics." Gitnux. https://gitnux.org/government-shutdown-construction-industry-statistics.
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