Where does property and owner data actually come from?

Property and owner data comes from three primary source categories: government public records, third-party data providers, and modeled or derived datasets. Government sources include county recorders (deeds, liens, mortgages), county assessors (property characteristics, tax values, ownership), court systems (foreclosures, bankruptcies, divorces, judgments), and census records. Third-party sources fill gaps with consumer data, contact information, and demographic estimates.

The raw public-record data is filed across 3,000+ U.S. counties, each with its own format, filing schedule, and digital accessibility. Data providers collect, normalize, and standardize these records so they can be searched and compared across jurisdictions. PropertyRadar's public-record sources include real property transactions, assessor data, court dockets, census records, and other public records, which are then enhanced using rule engines, machine learning, natural language processing (NLP), proprietary models, research staff, and human review. Modeled data creates insights that do not exist in raw records, such as estimated loan position, transfer type, foreclosure stage, and equity calculations. No single source contains all the data points a real estate professional needs, which is why providers combine and cross-reference multiple sources.