ZIP 16050 Property Distress & Foreclosure Data

In Butler County, Pennsylvania, ZIP 16050 scores 22 of 100 for composite distress, a low level on DLRadar's public-record index. Structural risk reads 51/100 against active distress of 3/100. Its standout signals are structural risk (51/100), construction/permit lag (36/100), institutional ownership (20/100). On the quiet end sit institutional ownership (20/100) and mortgage stress (9/100). Environmental exposure also runs high (flood (NFIP) exposure (90/100), climate & FEMA risk (81/100)).

The peak-phase market in 16050 posted values that rose 4.7% over the year, at 31/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

There are about 560 housing units across 16050. At $58,558, median income runs below typical U.S. levels. Vacancy runs 15.5%, above the national norm and a classic distress-and-opportunity signal. 80% of housing is owner-occupied. The poverty rate is 5.9% — low. Rent burden reaches 22% of tenant households. Population is roughly 978 with a median age of 45. The demographic-stress sub-score lands at 23/100. The typical home is worth about $132,700 (2.1× income, relatively affordable). Around 16% of adults hold a bachelor's degree or higher.

On the whole, 16050 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.

22/100
Composite stress
51/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 16050

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk81
+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 Butler County

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Deterministic. Every signal traces to a public dataset · methodology