ZIP 15417 Property Distress & Foreclosure Data

DLRadar grades ZIP 15417 (Washington County, Pennsylvania) at a low 25/100 for overall property distress. Structural risk reads 57/100 against active distress of 3/100. Property-level stress concentrates in construction/permit lag (62/100), structural risk (57/100), institutional ownership (19/100). On the quiet end sit institutional ownership (19/100) and mortgage stress (9/100). Environmental exposure also runs high (flood (NFIP) exposure (86/100), climate & FEMA risk (82/100)).

The peak-phase market in 15417 posted values that rose 4.7% over the year, and 16% higher over three years, at 31/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

The typical home is worth about $106,400 (1.8× income, relatively affordable). The demographic-stress sub-score lands at 27/100. There are about 3,775 housing units across 15417. The poverty rate is 20.3% — high, a tax-stress and distress correlate. Population is roughly 7,709 with a median age of 48. At $56,383, median income runs below typical U.S. levels. Vacancy runs 9.7%. Around 18% of adults hold a bachelor's degree or higher. 69% of housing is owner-occupied. Rent burden reaches 35% of tenant households.

On the whole, 15417 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
3/100
Distress activity

Distress signal breakdown — ZIP 15417

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk82
+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