ZIP 16926 Property Distress & Foreclosure Data

Composite property distress in 16926 (Bradford County, Pennsylvania) lands at 16/100 — low on DLRadar's public-record scoring. Structural exposure scores 34 and live distress 1 on the 0–100 scale. Environmental exposure also runs high (climate & FEMA risk (74/100)). The sharpest non-environmental signals are construction/permit lag (44/100), structural risk (34/100), mortgage stress (4/100). On the quiet end sit mortgage stress (4/100) and institutional ownership (3/100).

The expansion-phase market in 16926 posted values that rose 5.5% over the year, at 32/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 879 with a median age of 43. 80% of housing is owner-occupied. The typical home is worth about $185,200 (2.6× income, relatively affordable). Around 22% of adults hold a bachelor's degree or higher. There are about 422 housing units across 16926. Rent burden reaches 27% of tenant households. The poverty rate is 11.5%. At $72,328, median income runs near typical U.S. levels. Vacancy runs 18.7%, above the national norm and a classic distress-and-opportunity signal. The demographic-stress sub-score lands at 27/100.

On the whole, 16926 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.

16/100
Composite stress
34/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 16926

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk74
+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 Bradford County

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Deterministic. Every signal traces to a public dataset · methodology