Key Takeaways
- U.S. fires caused $15.9 billion property damage in 2022
- Wildfires cost U.S. $94 billion in 2022 damages and suppression
- Global wildfire economic loss: $150 billion yearly average
- U.S. fires caused 3,870 civilian deaths in 2022, 49% in homes
- Home fires killed 2,669 civilians in 2022 U.S., 84% of total deaths
- Fire injuries totaled 16,500 in U.S. 2022, with 72% from home fires
- Cooking equipment caused 49% of U.S. home fires in 2022, with 172,900 incidents
- Smoking materials ignited 17,000 home fires annually in the U.S., causing 540 deaths
- Electrical malfunctions led to 46,000 home fires yearly, 13% of all fires
- In 2022, U.S. fire departments responded to an estimated 1,346,000 fires, structural fires accounted for 76% of all fires, wildfires for 24%
- Globally, wildfires burned 4.8 million hectares in 2023, a 25% increase from 2022, primarily in Canada and Australia
- In California, 2023 saw 6,228 wildfires, burning over 300,000 acres by September
- U.S. had 1.1 million firefighters in 2022, 70% volunteers
- U.S. fire departments: 27,498 career, 23,700 volunteer in 2022
- Annual U.S. fire department runs: 36.5 million in 2022
In 2022, U.S. fires caused major losses and deaths, highlighting the urgent need for prevention and better safety.
Related reading
Economic Impacts
Economic Impacts Interpretation
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Fire Casualties
Fire Casualties Interpretation
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Fire Causes
Fire Causes Interpretation
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Fire Incidence
Fire Incidence Interpretation
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Firefighting Resources
Firefighting Resources 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.
Priya Chandrasekaran. (2026, February 13). Fire Statistics. Gitnux. https://gitnux.org/fire-statistics
Priya Chandrasekaran. "Fire Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/fire-statistics.
Priya Chandrasekaran. 2026. "Fire Statistics." Gitnux. https://gitnux.org/fire-statistics.
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