ZIP 15345 Property Distress & Foreclosure Data

DLRadar grades ZIP 15345 (Washington County, Pennsylvania) at a low 26/100 for overall property distress. Structural exposure scores 59 and live distress 3 on the 0–100 scale. Property-level stress concentrates in construction/permit lag (63/100), structural risk (59/100), institutional ownership (22/100). On the quiet end sit institutional ownership (22/100) and mortgage stress (10/100). Environmental exposure also runs high (flood (NFIP) exposure (93/100), climate & FEMA risk (83/100)).

The peak-phase market in 15345 posted values that rose 4.8% over the year, at 32/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 1,540 with a median age of 45. 86% of housing is owner-occupied. There are about 755 housing units across 15345. Vacancy runs 17.1%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 12.5%. Rent burden reaches 33% of tenant households. Around 24% of adults hold a bachelor's degree or higher. At $54,792, median income runs below typical U.S. levels. The typical home is worth about $156,000 (2.6× income, relatively affordable). The demographic-stress sub-score lands at 26/100.

On the whole, 15345 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.

26/100
Composite stress
59/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 15345

Foreclosure activity0
Mortgage stress10
Climate / FEMA risk83
+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 Washington County

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Deterministic. Every signal traces to a public dataset · methodology