Key Takeaways
- In 2022, U.S. fire departments responded to an estimated 1,364,500 fires, with home structure fires accounting for 2.8% of all fires
- In 2022, U.S. fire departments responded to an estimated 357,000 structure fires
- In 2022, U.S. fire departments responded to an estimated 51,600 vehicle fires
- NFPA reported that cooking is the leading cause of home fires, accounting for 49% of home fire injuries and 31% of home fire deaths
- In the U.S., smoking materials cause 23% of home fire deaths
- In the U.S., electrical distribution and lighting equipment are responsible for 9% of home structure fires
- NFPA’s Fire Data: In 2022, U.S. estimated property damage from fires was $21.5 billion
- NFPA estimated that direct property damage from fire in the U.S. in 2022 was $19.3 billion
- NFPA estimated that indirect property damage from fires in 2022 was $2.1 billion
- The National Fire Protection Association reported that sprinklers can reduce fire deaths by 80%
- NFPA reported that sprinklers control fires, reducing the chance of flashover in most cases
- NFPA reported that in 84% of reported fires, sprinklers confined the fire to the room of origin
Millions of fires, deaths, and losses underscore smarter cooking, smoke alarms, sprinklers.
Fire Incidence
Fire Incidence Interpretation
Fire Causes
Fire Causes Interpretation
Fire Impact
Fire Impact Interpretation
Fire Protection
Fire Protection 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.
Karl Becker. (2026, February 13). Fire Damage Statistics. Gitnux. https://gitnux.org/fire-damage-statistics
Karl Becker. "Fire Damage Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/fire-damage-statistics.
Karl Becker. 2026. "Fire Damage Statistics." Gitnux. https://gitnux.org/fire-damage-statistics.
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