Focused on Southeast US coastal states (FL, GA, AL, MS, LA, TX, SC, NC)

Hurricane 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.

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

Terrebonne Parish, LA

A live look at the data driving every PerilScore.

Hurricane risk score
9.9 / 10
High risk
Confidence 100%
Snapshot 2026-06-17
Computed from decades of public weather data using physics-based probability modeling.
1-in-100 wind
114 kt
Cat 3+ annual
4.0%
Storm exposure
32
Landfalls
7

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 hurricane risk score come from?
Every score is computed from decades of public weather data (hurricane tracks, intensities, and landfalls) using physics-based probability modeling. It’s the same data layer insurance and risk management professionals use.
Is the score a model estimate or actual history?
It’s a physics-based probability score derived from the historical record. We don’t smooth, interpolate, or guess. We let the actual storm record drive the number.
Does this number apply to my exact address?
The score reflects the location you searched. For a property-specific score that incorporates construction, occupancy, and protection factors, use the free PerilScore app.
How often is the data refreshed?
Snapshot dates appear on every location page. The historical record is updated as new storm data becomes available.
Why is this hurricane risk score different from FEMA or NOAA?
FEMA flood maps and NOAA storm reports describe regulatory boundaries and recorded events. PerilScore translates the full historical record into a probability score designed for risk modeling rather than emergency planning.

Want the full picture for a specific property?

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

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