ZIP 16443 Property Distress & Foreclosure Data

DLRadar grades ZIP 16443 (Erie County, Pennsylvania) at a low 25/100 for overall property distress. Structural risk reads 56/100 against active distress of 2/100. Environmental exposure also runs high (climate & FEMA risk (83/100)). Property-level stress concentrates in construction/permit lag (80/100), structural risk (56/100), institutional ownership (14/100). On the quiet end sit institutional ownership (14/100) and mortgage stress (6/100).

The expansion-phase market in 16443 posted values that rose 9.4% over the year, at 59/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

There are about 602 housing units across 16443. Vacancy runs 20.0%, above the national norm and a classic distress-and-opportunity signal. The typical home is worth about $163,400 (2.2× income, relatively affordable). The poverty rate is 25.8% — high, a tax-stress and distress correlate. Rent burden reaches 29% of tenant households. The demographic-stress sub-score lands at 29/100. 87% of housing is owner-occupied. Around 18% of adults hold a bachelor's degree or higher. Population is roughly 1,170 with a median age of 39. At $75,806, median income runs near typical U.S. levels.

On the whole, 16443 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
56/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 16443

Foreclosure activity0
Mortgage stress6
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 Erie County

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Deterministic. Every signal traces to a public dataset · methodology