Key Takeaways
- Lightning strikes ignited 2,390 wildfires in the United States in 2023, representing 12.5% of all reported wildfire ignitions that year.
- Human activities, including debris burning, caused 16,591 wildfires in the US in 2023, accounting for 87.5% of total ignitions.
- Campfires were responsible for 4.5% of wildfire starts in California between 2001-2020, per CAL FIRE data.
- In 2022, the US experienced 63,542 wildfires, up 12% from the 10-year average.
- Canada reported 6,658 wildfires in 2023, nearly double the 2001-2022 average of 3,658.
- Australia saw 18,000 wildfires in the 2019-2020 season, 50% above average.
- The US had wildfires on 4.3 million acres in 2023, 20% below average but with large fires dominating.
- Australia's 2019-2020 fires burned 18.6 million hectares, 50 times the annual average.
- Canada's 2023 wildfires scorched 18.5 million hectares, largest in modern records.
- Wildfires destroyed 18,000 homes in California from 2017-2020.
- The 2023 Maui fires killed 102 people and cost $5.5 billion in damages.
- US wildfires caused $20 billion in insured losses in 2020 alone.
- Wildfires emit 8 billion tons CO2 yearly, 25% of human emissions.
- 2019-2020 Australian fires released 830 Mt CO2 equivalent.
- Boreal forest fires release 40% more CO2 than tropical per area.
Most wildfires are started by humans, but lightning also causes a significant number.
Causes
Causes Interpretation
Environmental
Environmental Interpretation
Extent
Extent Interpretation
Frequency
Frequency Interpretation
Health
Health Interpretation
Impacts
Impacts 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.
Megan Gallagher. (2026, February 13). Wildfires Statistics. Gitnux. https://gitnux.org/wildfires-statistics
Megan Gallagher. "Wildfires Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/wildfires-statistics.
Megan Gallagher. 2026. "Wildfires Statistics." Gitnux. https://gitnux.org/wildfires-statistics.
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