General Insurance Underwriting

Perils Insight

Accurately assess major insurance perils risks at the postcode and address levels with highly granular data models.

Do you have blind spots in your portfolio?

Without adequate understanding of all the relevant perils at the postcode or address level, UK property insurers may struggle to mitigate their exposure, tailor pricing, and improve profitability. Whatever the peril, what if you could access such insight without any hassle?

Get more precise risk estimates at the postcode unit and address level

The Perils Insight product suite is a set of data models that predict the relative risk and variation of claims for major perils for both household and commercial property insurance.

Simplify underwriting

Easily segment postcodes and addresses to refine rating and boost underwriting results, powered by high-resolution property, natural hazard, and demographic data.

Inform your decisions with the best available data

Use data models regularly recalibrated with the latest available perils and claims data and adjusted for changing risk patterns.

Gain new perspectives on risk aggregation

Understand and improve the management of your aggregate exposures to help reduce reinsurance costs.

Features and capabilities

Accidental Damage

Gain invaluable perspectives into the distribution of accidental damage risk across the UK through our model, which combines detailed property, lifestyle, and demographic descriptors.

Escape of Water

Our model uses historic claims patterns for burst pipes and non-weather-related escape of water incidents, with more than 100 million data records across 26 million properties and 1.7 million postcodes.

Flood

We reliably assess risk for fluvial and coastal flooding, combining factors such as the built environment and local terrain to estimate the risk down to the individual property level.

Fire

We use detailed postcode-level predictors of fire risk, supported by deliberate and accidental fire incident data and the drive times to the nearest fire station.

Freeze

We combine comprehensive temperature information with highly detailed property, environment, and demographic factors to estimate the risk of a burst pipe claim during freezing spells.

Theft

Our model looks at developing crime patterns and underlying economic trends to quantify the relative risk and variation of theft, with detailed, postcode-level theft risk estimates.

Storm

Our model predicts the relative risk and variation of windstorm damage with more than 72 million wind speed recordings across the UK, factoring in rainfall, topography, and urban density.

Subsidence

We supply greater insight into ground movement-related risk through our model, which uses unique data sources for rainfall, vegetation, and geology and cross-references them with property characteristics and historical claims data.

Do more with the Verisk ecosystem

Our suite of underwriting tools and data sets provide granular and accurate insight into the risk associated with any building and the people who live there, along with previous claims information and relevant perils exposure at a postcode or address level.