ZIP 15216 Foreclosure, Tax-Lien & Distress Report

Allegheny County, Pennsylvania · Distress market

Allegheny County, Pennsylvania's ZIP 15216 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). Environmental exposure also runs high (climate & FEMA risk (98/100), flood (NFIP) exposure (92/100)). The latent-versus-live split is 66/100 structural and 3/100 already moving.

The peak-phase market in 15216 posted values that rose 4.7% over the year, and 14% higher over three years (phase confidence 31/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

At $81,542, median income runs near typical U.S. levels. The demographic-stress sub-score lands at 23/100. 63% of housing is owner-occupied. Around 30% of renters are cost-burdened. The poverty rate is 7.0% — low. Around 47% of adults hold a bachelor's degree or higher. The typical home is worth about $206,500 (2.4× income, relatively affordable). The ZIP holds roughly 11,354 housing units. Population is roughly 21,503 with a median age of 40. The vacancy rate is 10.4%.

On balance 15216 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.

29/100
Composite stress
66/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 15216

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk98
+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.

ZIP 15216 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology