Straight-line wind continues to drive significant homeowners losses, and volatility remains difficult to manage. Pricing structures often reflect broad geographic exposure rather than property-level structural differentiation that materially influences loss outcomes.
Wind loss outcomes reflect not only property location but how a specific structure responds to wind. Variations in structural and surrounding characteristics can materially influence how similar wind exposure affects individual homes. Failure to capture those differences can leave elevated vulnerability embedded within the portfolio—contributing to wind-driven loss volatility and inconsistent segmentation.
Clearer property-level wind differentiation with LOCATION® Wind can help insurers identify elevated vulnerability earlier and manage straight-line wind risk more precisely across underwriting, pricing, and portfolio strategy.
Our integrated wind risk score distinguishes which properties are structurally more susceptible to wind damage—even under comparable wind conditions.
Integrated property-level wind risk differentiation, built into rating strategies, strengthens pricing alignment and refines segmentation.
Structural characteristics and surrounding property context help identify elevated wind susceptibility before loss emerges.
Wind risk distribution and clustering across regions and portfolios help to reveal structural concentrations and volatility drivers.
As part of Verisk’s LOCATION suite, LOCATION Wind translates complex structural and localized wind dynamics into a clear, property-level wind risk score to support underwriting, pricing, and portfolio management.
A property-level wind risk score from 1 (lowest relative risk) to 100 (highest relative risk) enables differentiation by capturing how structural vulnerability interacts with localized wind exposure.
Structural and surrounding property characteristics that meaningfully influence wind risk support transparency, interpretation, and confident decisions.
Incremental differentiation beyond commonly used rating variables enhances segmentation—without unnecessary redundancy.
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