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Shiva Jabarnia

Shiva Jabarnia

Prevent Avoidable Losses with Predictive and Actionable Insights

3 min readMar 7, 2025

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This is a summary of this white paper: link,
by Shiva Jabarnia written for Nearmap

www.shivajabarnia.com

Hurricane Risk Management: Predictive Insights for Property Insurers

Property and casualty (P&C) insurers face significant challenges when writing policies in hurricane-prone regions. With increasing storm activity and the lack of comprehensive property vulnerability data, insurers struggle to provide affordable coverage while maintaining profitability. This whitepaper from Betterview (Now a part of Nearmap) outlines how predictive analytics and property-level data can transform hurricane risk assessment.

The Growing Hurricane Threat

Hurricane risk in the United States continues to intensify. According to the National Oceanographic and Atmospheric Administration (NOAA), there have been an average of 17.7 landfalling hurricanes per decade since 1851. The financial impact is staggering — the Congressional Budget Office’s estimate of annual economic losses from hurricanes nearly doubled from $28 billion in 2016 to $54 billion by 2019.

More than half of the continental United States has some probability of hurricane impact. Florida leads with 38 major hurricanes recorded since 1950, followed by North Carolina (29), Louisiana (28), and Texas (21).

Beyond Regional Hazard Data: The Vulnerability Factor

Traditional hurricane risk assessment focuses primarily on regional hazard data — the likelihood and intensity of hurricanes in a particular area. However, this approach neglects a crucial component: property-level vulnerability.

Vulnerability refers to an asset’s susceptibility to damage from hurricane-force winds, regardless of location. Two identical buildings can have the same vulnerability despite being in different hazard zones. The overall hurricane risk equation is simple:

Regional Hazard × Property-level Vulnerability = Risk

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Current industry challenges include:

  • Tools focused exclusively on regional hazard data instead of property-level insights
  • Siloed hazard data across different platforms
  • Lack of transparent property-level vulnerability information

Property Characteristics That Predict Hurricane Damage

To understand vulnerability against Hurricanes, an extensive study of over 72,000 structures in Lake Charles, Louisiana was conducted following Hurricane Laura in 2020. By comparing pre-hurricane conditions with post-hurricane damage, specific property characteristics were identified that significantly impact vulnerability:

  • Roof condition: Properties with stained roofs before the hurricane suffered significantly more damage
  • Roof material: Metal panel roofs showed greater resilience than asphalt shingle roofs
  • Tree overhang: Properties with tree branches extending over roofs experienced more damage

The study found that these factors were more predictive of damage than proximity to the hurricane’s path alone, challenging the assumption that wind speed is the sole determinant of hurricane damage.

The Hurricane Vulnerability Score

By combining these insights, a Hurricane Vulnerability Score — a 1–5 index was developed that predicts a property’s likelihood of damage from hurricane-force winds. Properties with a score of 1 (highest vulnerability) are approximately 1.5 times more likely to suffer damage than average properties (score 3), while those with a score of 5 are less than half as likely to be damaged.

This scoring system enables insurers to:

  • Make more precise underwriting decisions
  • Provide proactive risk mitigation advice to policyholders
  • Transform their approach from “repair and replace” to “predict and prevent”

Shifting the Paradigm

This approach enables a fundamental shift in hurricane risk management. Instead of waiting for disasters and managing the aftermath, insurers can proactively identify vulnerable properties, recommend specific improvements to reduce risk, and ultimately prevent avoidable losses — benefiting both insurance companies and policyholders.

In an era of increasing hurricane activity and financial impact, this predictive, property-level approach to hurricane risk assessment provides P&C insurers with the tools they need to write policies more confidently in hurricane-prone regions while building stronger, more transparent relationships with their customers.

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