Hoover, Alabama Tornado Risk Score

Hoover, Alabama has a 4.5 / 10 tornado risk score from PerilScore v4 data.

Tornado risk score
4.5 / 10
Moderate risk
Confidence 100%
Snapshot 2026-06-17
Computed from decades of public weather data using physics-based probability modeling.
EF2+ annual
1.3%
Path density
36.7030
Max EF
4
EF4+ return
9999 yrs
Risk Score (0-10)
4.5
Historical Events
No data

in the record

Avg Return Period
No data

years between events

Data Confidence
100%

Hoover, Alabama has a 4.5 / 10 tornado risk score, which falls in the high band and is in the 84th percentile among scored local areas in this model. The score was snapshotted on 2026-06-17 with 100% model confidence.

What drives this score here?

EF2+ annual probability is the largest V4 contributor from registered local hazard drivers. For this location, the score card also highlights these model signals:

  • EF2+ annual: 1.3%
  • Path density: 36.7030
  • Max EF: 4
  • EF4+ return: 9999 yrs

The strongest component metrics in the snapshot are:

  • EF2 Annual Probability: model component 0.199. The raw value is 1.3%.
  • Path Density: model component 0.097. The raw value is 36.7.
  • Spc Climatology: model component 0.054. The raw value is 34.0.

For tornado exposure, the useful signals are EF2+ probability, path density, severe storm climatology, and maximum observed EF rating. This snapshot shows EF2+ annual probability at 1.3% and max observed EF at 4.

How to read the location signal

This page uses the representative local model area around the major city centroid for Hoover, Alabama. That local model area is roughly 5 square kilometers, so the score is a practical place-level signal for browsing and comparison. The building-level view comes from entering a street address.

Hoover is included as a major Census place, which helps readers compare the local score with county and ZIP pages nearby.

The model confidence is high enough for direct local comparison across nearby pages.

The source record for this page is: PerilScore local tornado local model feature table with path geometry, EF2+ return periods, SPC climatology, and STP drivers

Why building details matter

A street-address score can account for the unique characteristics of a specific building, including age, construction type, roof shape and condition, occupancy, elevation, defensible space, drainage, terrain, and nearby exposure. Those details can change resilience or susceptibility around the same location-level score.

Use this city page when you want a recognizable local reference point for comparing nearby ZIPs and counties. Since the percentile is elevated, it is worth comparing nearby pages before relying on the area score alone.

Use the PerilScore app to enter a street address and see the full property-specific score.

Building-level address score

The local score is the starting point

A specific building can perform differently from the surrounding area. The PerilScore street-address check adds building age, construction type, roof details, occupancy, elevation, defensible space, drainage, terrain, and nearby exposure to the tornado layer shown here.

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About this tornado score

What does the tornado score mean for Hoover, Alabama?
The 4.5 / 10 score summarizes long-run tornado exposure for the representative local model area at this location’s centroid. It is best used as a local area signal before checking a street address.
Why can nearby buildings have different tornado risk?
Building age, construction type, roof details, occupancy, elevation, defensible space, drainage, terrain, and nearby exposure can change resilience or susceptibility at the address level.
How do I get the building-specific score?
Use the free PerilScore app and enter the street address. The full score starts with the tornado layer shown here and adds building and surroundings details for that property.

Want the full picture for a specific property?

The scores on this site show the representative tornado 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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