The US Property and Parcel Consumer Dataset delivers authoritative building characteristics, structural details, and lot metrics tied to standardized addresses so P&C carriers can pre-fill quote applications with confidence.
Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.
A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.
Property insurance underwriting still depends heavily on what applicants tell you about their own homes. Self-reported square footage, construction type, and roof condition are routinely inaccurate, incomplete, or manipulated. Every quote built on unverified inputs is a pricing and risk exposure waiting to surface at claim time.
Captures square footage, year built, number of stories, construction type, interior layout, and exterior features at the building level. These fields replace the most error-prone applicant self-reported inputs in property insurance applications.
Includes roof material, roof shape, and exterior wall construction type that directly influence underwriting risk scores and replacement cost estimates. Reliable structural feature data reduces manual inspection requests on standard submissions.
Every record is tied to a standardized address with latitude and longitude coordinates and jurisdictional identifiers for state, county, and municipality. Precise geolocation enables spatial queries and supports pre-fill matching across policy administration systems.
Assessed and market value estimates, tax liabilities, mortgage and lien data, and sales history provide a complete financial picture of each parcel. This context supports replacement cost benchmarking, coverage adequacy review, and portfolio risk monitoring.
