ZIP 15660 Property Distress & Foreclosure Data

DLRadar grades ZIP 15660 (Westmoreland County, Pennsylvania) at a low 25/100 for overall property distress. Structural exposure scores 57 and live distress 0 on the 0–100 scale. Property-level stress concentrates in structural risk (57/100), construction/permit lag (53/100), institutional ownership (20/100). On the quiet end sit institutional ownership (20/100). Environmental exposure also runs high (flood (NFIP) exposure (89/100), climate & FEMA risk (88/100)).

The peak-phase market in 15660 posted values that rose 4.7% over the year, at 31/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

The typical home is worth about $168,100 (3.1× income, relatively affordable). Around 12% of adults hold a bachelor's degree or higher. Population is roughly 125 with a median age of 49. 51% of housing is owner-occupied. At $37,788, median income runs below typical U.S. levels. The poverty rate is 0.0% — low. Vacancy runs 39.0%, above the national norm and a classic distress-and-opportunity signal. There are about 145 housing units across 15660. Rent burden reaches 67% of tenant households. The demographic-stress sub-score lands at 37/100.

On the whole, 15660 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.

25/100
Composite stress
57/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 15660

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk88
+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 Westmoreland County

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Deterministic. Every signal traces to a public dataset · methodology