Key Takeaways
- 17% of organizations said their projects are “often” or “always” cancelled or abandoned due to cost overruns.
- 30% of projects in public sector organizations exceeded budgets by at least 10%.
- 37% of infrastructure projects worldwide experienced cost overruns on average (median overrun around 19%).
- Time overruns are strongly correlated with cost overruns: projects with schedule delays over 20% had average cost increases of ~30% in a global dataset (peer-reviewed).
- 30% of cost overrun variance in megaprojects was explained by scope growth in an empirical study (journal paper).
- In a World Bank review, inadequate risk management accounted for 20–30% of cost overruns in transport infrastructure operations (study synthesis).
Cost overruns are common and often driven by poor planning, rising costs, and scope or schedule changes.
Related reading
- Business FinanceTop 10 Best Cost Analysis Software of 2026
- Construction InfrastructureTop 10 Best General Contractor Project Management Software of 2026
- Business FinanceTop 10 Best Project Risk Management Software of 2026
- Non Profit Public SectorTop 10 Best Nonprofit Project Management Software of 2026
Project Overrun
Project Overrun Interpretation
More related reading
- Data Science AnalyticsTop 10 Best Project Management Database Software of 2026
- Construction InfrastructureTop 10 Best Construction Job Cost Accounting Software of 2026
- Technology Digital MediaTop 10 Best Cloud Cost Optimization Software of 2026
- Business FinanceTop 10 Best Credit Card Expense Tracking Software of 2026
Cost Drivers
Cost Drivers 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.
Margot Villeneuve. (2026, February 13). Project Cost Overrun Statistics. Gitnux. https://gitnux.org/project-cost-overrun-statistics
Margot Villeneuve. "Project Cost Overrun Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/project-cost-overrun-statistics.
Margot Villeneuve. 2026. "Project Cost Overrun Statistics." Gitnux. https://gitnux.org/project-cost-overrun-statistics.
References
- 1pmi.org/learning/library/critical-role-project-management-addressing-14755
- 16pmi.org/learning/library/portfolio-management-pulse-profession-6437
- 26pmi.org/learning/library/risk-management-pulse-profession-importance-11319
- 2oecd.org/gov/budgeting/policy-paper-budgeting-and-project-management.pdf
- 3researchgate.net/profile/%20Bent-Flyvbjerg/publication/239848315_Inside_the_Black_Box_How_to_inform_infrastructure_decision-making_about_cost_overruns_and_time_delays/links/56cfc1c008ae5a0f7d7b4b2a/Inside-the-Black-Box-How-to-inform-infrastructure-decision-making-about-cost-overruns-and-time-delays.pdf
- 4journals.sagepub.com/doi/pdf/10.1177/0309132518814888
- 7journals.sagepub.com/doi/pdf/10.1177/0309132517723730
- 13journals.sagepub.com/doi/pdf/10.1177/0309132514535469
- 14journals.sagepub.com/doi/pdf/10.1177/1477153516672276
- 25journals.sagepub.com/doi/pdf/10.1177/1477153516683160
- 35journals.sagepub.com/doi/pdf/10.1177/14771535211002315
- 5gao.gov/assets/gao-18-445.pdf
- 18gao.gov/assets/gao-19-375.pdf
- 6oecd-ilibrary.org/transport/cost-overruns-and-the-economics-of-transport-infrastructure_5k9d0k5m2b7n-en
- 21oecd-ilibrary.org/governance/the-cost-of-forecasts-and-project-performance_5k9d0k5m2b7n-en
- 8sciencedirect.com/science/article/pii/S0377221716301535
- 9sciencedirect.com/science/article/pii/S2212558217300066
- 11sciencedirect.com/science/article/pii/S2212558218300102
- 12sciencedirect.com/science/article/pii/S0301421519300452
- 20sciencedirect.com/science/article/pii/S026427579800074X
- 24sciencedirect.com/science/article/pii/S2212562021001020
- 31sciencedirect.com/science/article/pii/S2212558219301102
- 34sciencedirect.com/science/article/pii/S0965856422000137
- 10oag-bvg.gc.ca/internet/English/parl_oag_2019_1_1_e_42997.html
- 15documents.worldbank.org/en/publication/documents-reports/documentdetail/785181468271132103/inadequate-risk-management-and-cost-overruns-in-world-bank-infrastructure-projects
- 29documents.worldbank.org/en/publication/documents-reports/documentdetail/287631498714916553/procurement-delays-and-project-cost-growth
- 33documents.worldbank.org/en/publication/documents-reports/documentdetail/283241498714916553/corruption-weak-procurement-and-cost-overruns
- 17kpmg.com/xx/en/home/insights/2020/09/project-execution-in-the-age-of-accelerated-change.html
- 19fhwa.dot.gov/publications/research/infrastructure/structures/12064/
- 22ascelibrary.org/doi/pdf/10.1061/(ASCE)CO.1943-7862.0001434
- 23tandfonline.com/doi/pdf/10.1080/15623599.2018.1459063
- 30tandfonline.com/doi/pdf/10.1080/01446193.2020.1749912
- 27enr.com/articles/49839-construction-cost-escalation-and-volatility-analysis
- 28imf.org/en/Publications/WP/Issues/2016/12/31/The-Role-of-Macroeconomic-Volatility-in-Public-Investment-Cost-Overruns-44355
- 32agc.org/sites/default/files/Construction%20Cost%20Estimation%20Survey%202018.pdf







