Key Takeaways
- $95.7 billion 2023 U.S. disaster recovery market size for property loss restoration services (cleaning, restoration, rebuilding)
- $76.9 billion 2023 U.S. insurance claims value tied to property claims (net of disaster losses)
- $9.4 billion 2023 U.S. mold remediation services market size
- 5.1 million households in the U.S. were affected by U.S. hurricanes between 2017 and 2022 (Noaa)
- 3.4 million housing units in the U.S. are in areas at risk of flooding (FEMA, 2023)
- 23% of U.S. households have experienced property damage from water in the past (IRC/Center for Insurance Research)
- $10.2 billion insured losses from Hurricane Harvey (2017) supporting long-tail restoration demand
- $29.9 billion insured losses from Hurricane Ida (2021) (III)
- $8.2 billion insured losses from the 2023 Canada wildfires (III)
- 2.3 million nonfatal workplace injuries from falls, slips, or trips in the U.S. (2019) — injury volume indicating frequent property/worksite conditions relevant to restoration and remediation labor demand
- 1.1 million nonfatal workplace injuries from fires and explosions in the U.S. (2019) — fire incident volume supporting ongoing repair/restoration demand
- $45.4 billion U.S. value of nonfarm business expenditures on janitorial services (2022) — spending baseline for cleaning labor demand connected to restoration
- In 2022, 55% of U.S. workers in construction reported being paid hourly and 45% reported being paid salaried, informing restoration labor contracting and cost structure
- The median hourly wage for painters and paperhangers in the U.S. was $19.45 in May 2023, directly relevant to interior-exterior restoration labor pricing
- The median hourly wage for carpenters (including restoration framing and cabinetry work) was $25.80 in May 2023
U.S. disaster and water damage drive a roughly $95.7 billion restoration market, with rising labor costs increasing demand.
Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
Cost Analysis
Cost Analysis Interpretation
Labor & Capacity
Labor & Capacity Interpretation
Labor & Costs
Labor & Costs Interpretation
Performance Metrics
Performance Metrics 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.
Timothy Grant. (2026, February 13). Property Restoration Industry Statistics. Gitnux. https://gitnux.org/property-restoration-industry-statistics
Timothy Grant. "Property Restoration Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/property-restoration-industry-statistics.
Timothy Grant. 2026. "Property Restoration Industry Statistics." Gitnux. https://gitnux.org/property-restoration-industry-statistics.
References
- 1ibisworld.com/united-states/market-research-reports/property-recovery-services-industry/
- 3ibisworld.com/united-states/market-research-reports/mold-remediation-services-industry/
- 4ibisworld.com/united-states/market-research-reports/fire-protection-services-industry/
- 5ibisworld.com/united-states/market-research-reports/water-damage-restoration-industry/
- 28ibisworld.com/industry-statistics/market-size/janitorial-services/104
- 2iii.org/fact-statistic/insurance-industry-overview/state-of-the-industry/
- 17iii.org/sites/default/files/docs/personal-insurance-survey-home-emergencies.pdf
- 18iii.org/fact-statistic/harvey-insured-losses
- 19iii.org/fact-statistic/ida-insured-losses
- 20iii.org/fact-statistic/canada-wildfires-2023-insured-losses
- 21iii.org/fact-statistic/maui-wildfires-2023
- 23iii.org/fact-statistic/water-damage-claims
- 6ncei.noaa.gov/access/billions/
- 7urban.org/urban-wire/how-many-americans-are-affected-by-flooding
- 16urban.org/research/publication/understanding-affordability-and-housing-conditions-among-adults
- 8apps.bea.gov/iTable/?reqid=19&step=1
- 9census.gov/construction/c30/historical_data.html
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- 11noaa.gov/media/resource-collections/us-hurricane-climatology
- 14noaa.gov/stories/flooding-costs-in-the-us
- 12fema.gov/data-visualization/fema-flood-map-service-center
- 15fema.gov/data-visualization/disaster-declarations
- 13insuranceresearch.org/sites/default/files/downloads/reports/Property%20Casualty%20Insights%20-%20Water%20Damage.pdf
- 22remodeling.hw.net/staffing-shortages-restoration-contractors-survey-2023/
- 24bls.gov/news.release/eci.htm
- 26bls.gov/news.release/pdf/osh2.pdf
- 27bls.gov/news.release/osh2.htm
- 29bls.gov/news.release/empsit.t05.htm
- 30bls.gov/oes/current/oes472031.htm
- 31bls.gov/oes/current/oes472011.htm
- 32bls.gov/news.release/ppi.t01.htm
- 25data.bls.gov/timeseries/PCU236211236211A
- 33agc.org/sites/default/files/2024-05/Construction%20Inflation%20Fact%20Sheet%20May%202024.pdf
- 34journals.uchicago.edu/doi/10.1086/709243
- 35ncbi.nlm.nih.gov/pmc/articles/PMC8577856/
- 36journals.sagepub.com/doi/10.1177/1420326X19860256







