ZIP 55051 Property Distress & Foreclosure Data
Kanabec County, Minnesota's ZIP 55051 registers 11/100 composite distress, which DLRadar reads as minimal. The most distinctive pressure shows up in construction/permit lag (67/100), structural risk (25/100), mortgage stress (4/100). On the quiet end sit mortgage stress (4/100) and institutional ownership (3/100). Structural exposure scores 25 and live distress 1 on the 0–100 scale.
The peak-phase market in 55051 posted values that rose 4.5% over the year, and 20% higher over three years, at 35/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Population is roughly 9,927 with a median age of 44. The typical home is worth about $224,700 (3.1× income, relatively affordable). Vacancy runs 16.3%, above the national norm and a classic distress-and-opportunity signal. The demographic-stress sub-score lands at 29/100. Around 18% of adults hold a bachelor's degree or higher. The poverty rate is 10.2%. There are about 4,753 housing units across 55051. Rent burden reaches 38% of tenant households. 80% of housing is owner-occupied. At $71,232, median income runs near typical U.S. levels.
On the whole, 55051 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.
Distress signal breakdown — ZIP 55051
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 Kanabec County
Unlock the full ZIP 55051 acquisition report
Get every distressed property in 55051 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