Hail and Severe Thunderstorm Risk


Be there to help your customers take cover.

Changing weather patterns are creating new challenges for insurers that cover hail events and the severe thunderstorms that often produce them.

Hail damage can take time to detect, leading to delayed claims. But data and analytics can help insurers manage these risks more effectively.

The Hail Hazard and Its Impact on Property Insurance

This report reviews and summarizes U.S. hail activity in 2020, including breakdowns of severe events and the most active states and counties. Also discussed are impacts in the “hail alley” region and strategies for insurers to make better-informed underwriting decisions.


Download the report

Data-fueled underwriting

Identify the latest emerging hail exposures

See where hail exposures are growing based on ultra-precise data and Verisk-exclusive scientific methodologies.

Measure the likelihood of existing hail damage

Assess a property’s potential for existing hail damage based on location-specific weather history.

Use a probabilistic model for severe thunderstorms

Use AIR’s probabilistic U.S. severe thunderstorm model to gauge potential exposures.

Manage hail claims more effectively

See where and when hail losses are reported

See where and when hail losses are reported in real time to guide you in making fast, effective decisions throughout the claims cycle.

Assess and triage losses and combat fraud

Get property- and date-specific reports on hail, wind, and lightning activity to assess and triage losses and combat fraud.

Get automated, detailed analysis of storm effects

Receive automated, detailed analysis of storm effects to help anticipate and respond to impacts more accurately.


Distribute and manage claim assignments

Distribute and manage claim assignments and get detailed reports, including Benchmark™ alerts, to assess key information.

Estimate repair or replacement costs

Estimate repair or replacement costs for severe weather damage using current, reliable, and localized pricing data.


Drawing insight from historical catastrophe activity

Severe weather history can provide a window on potential future activity and help identify the most perilous times of year.


ISO releases new, updated national state building code report

Recent disasters put resilience in the spotlight as U.S. communities pursue better preparation and response. We updated ISO’s groundbreaking report.


AER and team apply machine learning in subseasonal-to-seasonal forecasting

An elite scientific team, including Verisk's Atmospheric and Environmental Research, created award-winning machine learning techniques to forecast temperature.