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Actionable Hazard Insight

If claims data is the black-and-white information that drives property underwriting, then hazard data is the color that adds depth. Often used as a proxy for risk, hazard data yields decision-making insight by providing discrete information about the condition of a property that may impact its loss outcome.

Hazard data can provide clues about a property’s susceptibility to loss that wouldn’t otherwise be apparent in its historical loss experience.




Leading Hazard Science

Better underwriting requires better data, analysis, and expertise. RMS employs seismologists, meteorologists, and hydrologists so you don’t have to. You can use RMS Hazard Data to select, evaluate, and price catastrophe risk – bringing deep peril expertise directly to your underwriting specialists.

Data Consistency

RMS Hazard Data is native to industry-leading RMS models and can offer valuable insights to you when analyzing risks. Applying the same data between portfolio management, reinsurance decisions, and underwriting ensures that there is a consistent basis for all decisions across the risk management process.

Global Hazard Source

For companies operating in different areas of the world, or those that want to expand into other parts, RMS offers global hazard data to help you broadly evaluate risks, save time, and gain efficiency. If you need to evaluate wildfire risk in California, flood risk in the United Kingdom, and earthquake risk in New Zealand, RMS makes this all possible within a single API call.

Out-Select Competitors

Different risks often look the same on paper. But are they? Using RMS Hazard Data, you have the insights to answer this question, avoid adverse selection, and out-select the crowd.

Hazard Data Examples

  • 250-year earthquake shake intensity
  • 100-year flood depth, defended and undefended
  • Soil condition
  • Liquefaction susceptibility
  • Flood, wind, wildfire zone

Examples (continued)

  • Distance to coast, earthquake fault, wildfire zone
  • Number of historical wildfires within 2, 5, 10 kilometers
  • First-floor height above ground
  • Likelihood of basement presence
  • And more

Related Solutions


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Location Intelligence API

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Underwriting With 20/20 Vision

Risk data delivered to underwriting platforms via application programming interfaces (API) is bringing granular exposure information and model insights to high-volume risks

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