ZIP 02822 Property Distress & Foreclosure Data
Composite property distress in 02822 (Washington County, Rhode Island) lands at 29/100 — low on DLRadar's public-record scoring. Structural risk reads 66/100 against active distress of 7/100. It additionally carries heavy environmental risk: flood (NFIP) exposure (85/100), climate & FEMA risk (69/100). The sharpest non-environmental signals are construction/permit lag (66/100), structural risk (66/100), institutional ownership (50/100). By contrast, mortgage stress (22/100) register low.
The market reads expansion — home values rose 5.2% year on year, and 33% higher over three years, at 40/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
81% of housing is owner-occupied. At $87,185, median income runs near typical U.S. levels. The typical home is worth about $520,100 (5.4× income). Rent burden reaches 29% of tenant households. About 6,139 people live here, median age 38. The demographic-stress sub-score lands at 32/100. There are about 2,254 housing units across 02822. Around 42% of adults hold a bachelor's degree or higher. Vacancy runs 3.5%. The poverty rate is 11.5%.
Net-net, 02822 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 02822
Tax delinquency, institutional ownership, insurance pressure, NFIP/flood, construction lag, price dislocation and auction velocity — plus the 0 individual distressed properties (owner, address, APN, per-property score and exit read) are in the full DLRadar report.
Nearby ZIPs in Washington County
Unlock the full ZIP 02822 acquisition report
Get every distressed property in 02822 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology