Wildfire model performance: the record so far

Published results of UrbanStat’s Wildfire Risk Map against real fire seasons from 2019 to 2021, and against the US Forestry hazard map, with sources.

Updated November 2026

Largest fire of the yearBurned areas, 2020 seasonRisk map: published before the season
In short

UrbanStat publishes its Wildfire Risk Map before each fire season and compares it with what burned afterwards. The map had rated as High or worse 90.7% of the area burned by the most destructive fires of 2019, over 85% of the area burned in 2020, and over 95% of the area burned by the 2021 Dixie Fire. About 35% of California carries that rating.

Against the US Forestry map

Model accuracySource →
UrbanStat
80.5%
US Forestry
54.8%
Nevada: burned area rated High or worseSource →
UrbanStat
84%
US Forestry
42%
Arizona: burned area rated High or worseSource →
UrbanStat
81%
US Forestry
42%
Bars are drawn to scale, 0 to 100%.

Season by season

TestWhat was measuredResultSource
Back-testDecades of historical wildfiresAccuracy over 80% in any given yearRead
2019 seasonFirst blind test. Areas burned by the most destructive wildfires90.7% rated High or worse before the seasonRead
2020 seasonAll burned areas, a record year of over 4 million acresOver 85% rated High or worseRead
2020 seasonLargest 10 wildfiresAverage score between Very High and ExtremeRead
2020 seasonAugust Complex Fire, more than a million acresOver 90% rated High or worse, over a year earlierRead
2021 seasonDixie Fire, burned areasOver 95% rated High or worse in January 2021Read
2021 seasonDixie Fire, affected structures in GreenvilleAbout 80% rated High or worseRead

How the test works

  • The map is released before the wildfire season. After the season it is compared with fire perimeter data.
  • “High or worse” means the three highest levels: High, Very High and Extreme.
  • About 35% of California is rated High or worse. A result of 85% or more therefore means burned areas fell overwhelmingly inside roughly a third of the state.
  • The map is updated every year after the season ends, between January and April, so the model learns from the latest data.
  • Over the last 20 years the model performed 50% better than the US Forestry model. In Arizona, Nevada and Washington it doubled that model’s performance.

Common questions

How is wildfire model accuracy measured?

By the share of area that actually burned which the map, published beforehand, had rated High or worse. It is a blind test: the season had not happened when the map was released.

Why compare against the US Forestry map?

It is the public wildfire hazard map many insurers rely on, so it is the natural baseline. In Nevada and Arizona it had rated about 42% of the areas that burned as High or worse; UrbanStat’s model had rated 84% and 81%.

Does a high hit rate mean the map rates everything as high risk?

No. About 35% of California is rated High or worse. The burned areas were concentrated in that portion.

Next step

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