ZIP 15225 Property Distress & Foreclosure Data
Allegheny County, Pennsylvania's ZIP 15225 registers 29/100 composite distress, which DLRadar reads as low. The most distinctive pressure shows up in construction/permit lag (76/100), structural risk (66/100), institutional ownership (20/100). On the quiet end sit institutional ownership (20/100) and mortgage stress (9/100). On the structural side it scores 66/100, with 3/100 of stress already active. Environmental exposure also runs high (climate & FEMA risk (98/100), flood (NFIP) exposure (92/100)).
The peak-phase market in 15225 posted values that rose 4.7% over the year (phase confidence 31/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
The ZIP holds roughly 614 housing units. The demographic-stress sub-score lands at 28/100. The poverty rate is 11.8%. Around 30% of renters are cost-burdened. The typical home is worth about $170,900 (2.8× income, relatively affordable). 53% of housing is owner-occupied. Around 28% of adults hold a bachelor's degree or higher. The vacancy rate is 7.9%. At $59,620, median income runs below typical U.S. levels. Population is roughly 1,031 with a median age of 45.
On balance 15225 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 15225
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 Allegheny County
Unlock the full ZIP 15225 acquisition report
Get every distressed property in 15225 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology