ZIP 14753 Property Distress & Foreclosure Data

Cattaraugus County, New York's ZIP 14753 registers 23/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: climate & FEMA risk (79/100), flood (NFIP) exposure (60/100). The most distinctive pressure shows up in construction/permit lag (72/100), structural risk (53/100), institutional ownership (14/100). By contrast, institutional ownership (14/100) and mortgage stress (9/100) register low. Structural risk reads 53/100 against active distress of 3/100.

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.

About 929 people live here, median age 39. Rent burden reaches 20% of tenant households. A median home runs $85,200 here, or 1.7 times local income. The tenure split is 73% owner-occupied to 27% rented. There are about 530 housing units across 14753. On demographic stress specifically, 14753 scores 24/100. Vacancy runs 12.3%, above the national norm and a classic distress-and-opportunity signal. Roughly 15.7% live below the poverty line. About 14% have a four-year degree. Households earn a median $44,167 — below the roughly $78,000 national figure.

Net-net, 14753 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. 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 14753

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