ZIP 14772 Property Distress & Foreclosure Data

ZIP code 14772 in Cattaraugus County, New York carries a composite property-distress score of 23/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (72/100), structural risk (53/100), institutional ownership (14/100). On the quiet end sit institutional ownership (14/100) and mortgage stress (9/100). The latent-versus-live split is 53/100 structural and 3/100 already moving. Environmental exposure also runs high (climate & FEMA risk (79/100), flood (NFIP) exposure (60/100)).

The expansion-phase market in 14772 posted values that rose 6.3% over the year (phase confidence 39/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

The vacancy rate is 13.7% — elevated. The poverty rate is 14.9%. At $78,393, median income runs near typical U.S. levels. Population is roughly 4,431 with a median age of 43. Around 22% of renters are cost-burdened. The typical home is worth about $115,900 (1.4× income, relatively affordable). The ZIP holds roughly 1,921 housing units. The demographic-stress sub-score lands at 22/100. Around 24% of adults hold a bachelor's degree or higher. 87% of housing is owner-occupied.

On the whole, 14772 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
53/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 14772

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk79
+9 more distress dimensions scored for this ZIP

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 Cattaraugus County

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Deterministic. Every signal traces to a public dataset · methodology