ZIP 59066 Property Distress & Foreclosure Data
Big Horn County, Montana's ZIP 59066 registers 8/100 composite distress, which DLRadar reads as minimal. The most distinctive pressure shows up in structural risk (15/100), mortgage stress (4/100), institutional ownership (3/100). mortgage stress (4/100) and institutional ownership (3/100) stay muted. Structural exposure scores 15 and live distress 1 on the 0–100 scale.
Prices here sit in a peak phase: values rose 3.4% over the trailing year, at 41/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.
675 residents call 59066 home, typically aged 32. The poverty rate is 33.0% — high, a tax-stress and distress correlate. Vacancy runs 19.4%, above the national norm and a classic distress-and-opportunity signal. There are about 177 housing units across 59066. Around 8% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 30/100. The typical home is worth about $95,700 (2.4× income, relatively affordable). Rent burden reaches 7% of tenant households. 79% of housing is owner-occupied. At $51,563, median income runs below typical U.S. levels.
Taken together, 59066 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 59066
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 Big Horn County
Unlock the full ZIP 59066 acquisition report
Get every distressed property in 59066 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