ZIP 16655 Property Distress & Foreclosure Data
DLRadar grades ZIP 16655 (Bedford County, Pennsylvania) at a low 17/100 for overall property distress. Property-level stress concentrates in structural risk (39/100), construction/permit lag (20/100), institutional ownership (16/100). By contrast, institutional ownership (16/100) and mortgage stress (9/100) register low. On the structural side it scores 39/100, with 3/100 of stress already active. It additionally carries heavy environmental risk: climate & FEMA risk (68/100), flood (NFIP) exposure (68/100).
The market reads expansion — home values rose 5.0% year on year (phase confidence 41/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.
The tenure split is 80% owner-occupied to 20% rented. About 1,328 people live here, median age 48. Roughly 9.4% live below the poverty line. Around 6% of renters are cost-burdened. On demographic stress specifically, 16655 scores 23/100. A median home runs $162,700 here, or 2.4 times local income. About 9% have a four-year degree. The vacancy rate is 17.0% — elevated. Households earn a median $67,411 — below the roughly $78,000 national figure. The ZIP holds roughly 669 housing units.
Net-net, 16655 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 16655
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
Unlock the full ZIP 16655 acquisition report
Get every distressed property in 16655 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology