Asset-Level Data Methodology
Asset-level data captures general asset characteristics and risk-relevant attributes used to support hazard assessment, pricing comparability, and aggregation across comparable exposures. These attributes describe the physical and exposure profile of insured assets and provide the foundation for asset-level normalization within reported metrics.
Data Capture and Enrichment
Most asset-level attributes are captured during initial data intake through on-platform contributions. Where asset data is missing, incomplete, or outdated, values may be enriched using:
- Existing documentation retained within the platform
- Third-party data vendors, particularly for hazard and exposure classification
Hazard status indicators—including, but not limited to, flood, earthquake, windstorm, hail, avalanche, and similar risks—are refreshed using third-party data sources to ensure asset exposure classifications remain current over time.
Asset Attributes for Pricing Comparables
In addition to supporting hazard assessment, selected asset-level attributes are used in the construction of pricing comparables. These attributes enable like-for-like comparison across assets and policy structures by standardizing for exposure-relevant differences.
Key asset-level attributes used in pricing comparables include:
- Year built
- Building age
- Number of stories
- Number of units
- Square footage
- Construction type
Where applicable, pricing comparables also incorporate hazard status indicators, such as flood zone classifications or tiered hazard designations (e.g., Tier 1 windstorm or hail exposure). This ensures pricing comparisons reflect material exposure-driven differences rather than structural or geographic noise.