ZIP 16650 Property Distress & Foreclosure Data

DLRadar grades ZIP 16650 (Bedford County, Pennsylvania) at a low 17/100 for overall property distress. Structural exposure scores 38 and live distress 3 on the 0–100 scale. Environmental exposure also runs high (flood (NFIP) exposure (68/100), climate & FEMA risk (67/100)). Property-level stress concentrates in structural risk (38/100), construction/permit lag (19/100), institutional ownership (16/100). On the quiet end sit institutional ownership (16/100) and mortgage stress (9/100).

The expansion-phase market in 16650 posted values that rose 5.1% over the year, at 41/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

The typical home is worth about $157,700 (2.6× income, relatively affordable). 83% of housing is owner-occupied. Population is roughly 1,797 with a median age of 44. Around 13% of adults hold a bachelor's degree or higher. The poverty rate is 18.5% — high, a tax-stress and distress correlate. At $58,981, median income runs below typical U.S. levels. There are about 872 housing units across 16650. The demographic-stress sub-score lands at 33/100. Vacancy runs 24.1%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 52% of tenant households.

On the whole, 16650 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.

17/100
Composite stress
38/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 16650

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk67
+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 Bedford County

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Deterministic. Every signal traces to a public dataset · methodology