Focused on Western US (CA, OR, WA, ID, MT, CO, AZ, NM, UT, NV)

Wildfire risk data.
For any US location.

Every score is computed from decades of public records using physics-based probability modeling, scored at neighborhood resolution. Finer than the county-level averages most public data provides, with the same data layer used by insurance and risk management professionals.

No signup required for the basic score. Instant results.

233 locations indexed 7 perils covered Data vintage 2024
Highest-risk location indexed

ZIP 91042, Los Angeles County, CA

A live look at the data driving every PerilScore.

Wildfire risk score
3.9 / 10
Lower risk
Confidence 100%
Snapshot 2026-06-17
Computed from decades of public weather data using physics-based probability modeling.
Flammability
0.89
Fire weather
0.47
Slope
36.3 deg
WUI exposure
Yes

Methodology

Public data. Real science. No black boxes.

Every score is computed from decades of public weather records using physics-based probability modeling. It's the same approach used by insurance and risk management professionals.

Decades of public weather data

Hurricane tracks, storm intensities, fire perimeters, hail reports, all drawn from public scientific archives. We don't use proprietary data. You can audit every input.

Physics-based probability modeling

Scores reflect how the actual peril behaves: wind fields, fire spread, ground shaking, and storm tracks. The model keeps the physics visible instead of flattening every place into a broad average.

Used by professionals

The same PerilScore data layer is used by insurance and risk management professionals. We publish it here so anyone can find authoritative risk numbers for their location.

Real data from the PerilScore model

Representative local scores backed by public data.

Every score published on this site is computed from decades of public weather data using physics-based probability modeling. It’s the same approach used by insurance and risk management professionals.

We publish it here so that anyone searching for risk in a specific ZIP, city, or county can find authoritative, citable numbers.

Frequently asked questions

Where does the wildfire risk score come from?
Every score is computed from decades of public weather and fire perimeter data using physics-based probability modeling. It’s the same data layer used by insurance and risk management professionals.
Does this account for current drought or fuel conditions?
The score reflects long-run probability, not real-time fire weather. For active conditions, refer to local fire agencies. For property-level risk that incorporates defensible space and construction, use the free PerilScore app.
How is this different from CAL FIRE Hazard Severity Zones?
CAL FIRE zones are regulatory categories used for building codes. PerilScore translates the full historical record into a continuous probability score designed for risk modeling and underwriting.

Want the full picture for a specific property?

The scores on this site show the representative wildfire layer for a local area. Enter a street address to add building age, construction type, roof details, occupancy, surroundings, and property-level context.

Free results for any US street address.