ZIP 55063 Property Distress & Foreclosure Data
DLRadar grades ZIP 55063 (Pine County, Minnesota) at a minimal 11/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (62/100)). On the structural side it scores 23/100, with 2/100 of stress already active. Property-level stress concentrates in structural risk (23/100), construction/permit lag (15/100), mortgage stress (7/100). On the quiet end sit mortgage stress (7/100) and institutional ownership (3/100).
The peak-phase market in 55063 posted values that rose 4.8% over the year, and 13% higher over three years (phase confidence 37/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
At $74,854, median income runs near typical U.S. levels. Population is roughly 9,270 with a median age of 46. The vacancy rate is 20.2% — elevated. Around 37% of renters are cost-burdened. 81% of housing is owner-occupied. Around 18% of adults hold a bachelor's degree or higher. The poverty rate is 8.4%. The typical home is worth about $253,200 (3.2× income, relatively affordable). The demographic-stress sub-score lands at 29/100. The ZIP holds roughly 5,000 housing units.
On the whole, 55063 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 55063
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 Pine County
Unlock the full ZIP 55063 acquisition report
Get every distressed property in 55063 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