ZIP 10973 Property Distress & Foreclosure Data
Orange County, New York's ZIP 10973 registers 31/100 composite distress, which DLRadar reads as moderate. Structural risk reads 69/100 against active distress of 6/100. It additionally carries heavy environmental risk: climate & FEMA risk (91/100), flood (NFIP) exposure (75/100), FEMA disaster exposure (64/100). The most distinctive pressure shows up in structural risk (69/100), construction/permit lag (54/100), institutional ownership (51/100). By contrast, mortgage stress (19/100) register low.
The market reads expansion — home values rose 6.2% year on year, and 23% higher over three years, at 33/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
The typical home is worth about $410,600 (2.8× income, relatively affordable). At $133,508, median income runs above typical U.S. levels. About 2,300 people live here, median age 39. The poverty rate is 10.6%. Vacancy runs 7.6%. There are about 852 housing units across 10973. 87% of housing is owner-occupied. Around 43% of adults hold a bachelor's degree or higher. Rent burden reaches 45% of tenant households. The demographic-stress sub-score lands at 26/100.
Net-net, 10973 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 10973
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 Orange County
Unlock the full ZIP 10973 acquisition report
Get every distressed property in 10973 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