Wildfires
The most accurate wildfire risk map.
Wildfires cost billions every year. Traditional models use 2–4 variables. UrbanStat uses more than 30 — achieving 80.5% accuracy vs. 54.8% for US Forestry's map.
The view.
Our wildfire model classified 90.7% of the most destructive 2019 fires as 'High' or worse
Key capabilities.
Everything you need, built into one platform.
More Than a Score
Get a 0-100 risk score with categorical level, long-term probability of occurrence, historical wildfire events at the location, and real-time alerts based on climatic trends.
30+ Variables
Beyond traditional topography and vegetation: historical climate data, power distribution networks, land use, solar radiation, hydrology, drought indices, and 18 more variables.
Non-Linear Intelligence
Unlike rule-based scores, our model identifies non-linear relationships between wildfires and variables. Slope and other factors have different effects in different geographies.
How it works.
From data ingestion to actionable intelligence in minutes.
- Query any US address or coordinate via API or batch upload.
- Receive a wildfire risk score (0–100), probability, and historical fire data for the location.
- Get real-time alerts on short-term risk levels related to near-term climatic trends like rising temperatures and decreasing precipitation.
- Use scores in underwriting decisions, moratorium rules, or portfolio-level exposure analysis.
See Wildfires in action.
Explore the platform with a walkthrough tailored to your portfolio.