ZIP 15923 Property Distress & Foreclosure Data

Westmoreland County, Pennsylvania's ZIP 15923 registers 25/100 composite distress, which DLRadar reads as low. Structural risk reads 57/100 against active distress of 3/100. It additionally carries heavy environmental risk: flood (NFIP) exposure (89/100), climate & FEMA risk (88/100). The most distinctive pressure shows up in structural risk (57/100), construction/permit lag (53/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (9/100) register low.

The market reads peak — home values rose 4.7% year on year, at 31/100 phase confidence. Topping markets hide individual distress behind strong averages.

About 1,609 people live here, median age 42. The tenure split is 88% owner-occupied to 12% rented. Households earn a median $52,347 — below the roughly $78,000 national figure. Vacancy runs 13.2%, above the national norm and a classic distress-and-opportunity signal. A median home runs $96,000 here, or 1.8 times local income. On demographic stress specifically, 15923 scores 23/100. Roughly 9.8% live below the poverty line. There are about 650 housing units across 15923. About 14% have a four-year degree. Rent burden reaches 26% of tenant households.

Net-net, 15923 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.

25/100
Composite stress
57/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 15923

Foreclosure activity0
Mortgage stress9
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