Public Data Sources
Every signal on DLRadar is built from a named public data source.
DLRadar is built from public datasets and public records. We use no synthetic data, no fabricated records, and no black-box AI scoring. Where a figure is an estimate, it is labeled as one, and where a record is missing the field is left blank instead of filled in.
The sources below fall into five groups. Each group answers a different question, and the scores combine them so that a place is never judged on a single feed. Sources are refreshed on their own schedules, and a dataset that falls out of date is withheld from any list that depends on it until it is current again.
Housing & price
Home-price indexes, population and income surveys, building permits and published rent standards give the background against which a local distress reading is judged. They show whether prices are rising or falling, how much housing is being built, and what households in an area earn.
Lending & banking
Bank call reports, deposit filings, mortgage-lending disclosures and mortgage-performance series show how healthy local lenders are and how borrowers are keeping up with payments. They are published on regulator schedules, and some series run several months behind the present.
Risk & climate
Federal disaster history, the national risk index and flood-insurance claims describe physical exposure. They help explain why a ZIP code may carry insurance pressure that has nothing to do with its mortgage or tax record.
Macro & economy
National and regional economic series for rates, employment and unemployment set the wider backdrop. They change the context of a local reading without changing the local records themselves.
Property & transactions
County records are where individual parcels carry their own history: court filings, tax status, recorded liens, code cases and ownership. Auction sources add sales that are already scheduled. Coverage depends on what each county publishes, so a missing signal can mean no record or no available feed for that county.
Public data remains the property of its respective source agencies and jurisdictions. For how the scores are built, see our methodology.