ZIP 10931 Property Distress & Foreclosure Data
Composite property distress in 10931 (Rockland County, New York) lands at 25/100 — low on DLRadar's public-record scoring. Structural exposure scores 57 and live distress 2 on the 0–100 scale. The sharpest non-environmental signals are construction/permit lag (58/100), structural risk (57/100), institutional ownership (19/100). By contrast, institutional ownership (19/100) and mortgage stress (8/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (87/100), flood (NFIP) exposure (84/100).
The market reads expansion — home values rose 6.3% year on year, at 39/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
53% of housing is owner-occupied. The poverty rate is 7.4% — low. The typical home is worth about $487,000 (5.7× income). Around 28% of adults hold a bachelor's degree or higher. About 1,170 people live here, median age 34. Vacancy runs 5.0%. Rent burden reaches 49% of tenant households. The demographic-stress sub-score lands at 40/100. There are about 437 housing units across 10931. At $81,406, median income runs near typical U.S. levels.
Net-net, 10931 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 10931
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 Rockland County
Unlock the full ZIP 10931 acquisition report
Get every distressed property in 10931 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