ZIP 48770 Foreclosure, Tax-Lien & Distress Report
Iosco County, Michigan · High Vacancy market
ZIP code 48770 in Iosco County, Michigan carries a composite property-distress score of 12/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (69/100), structural risk (28/100), mortgage stress (9/100). By contrast, mortgage stress (9/100) and institutional ownership (3/100) register low. Structural exposure scores 28 and live distress 3 on the 0–100 scale.
The market reads expansion — home values rose 6.4% year on year, and 33% higher over three years, at 37/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
There are about 987 housing units across 48770. The typical home is worth about $105,500 (2.0× income, relatively affordable). The poverty rate is 17.6% — high, a tax-stress and distress correlate. Around 9% of adults hold a bachelor's degree or higher. 85% of housing is owner-occupied. The demographic-stress sub-score lands at 30/100. Vacancy runs 32.0%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 41% of tenant households. About 1,908 people live here, median age 44. At $51,576, median income runs below typical U.S. levels.
Net-net, 48770 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 48770
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.
ZIP 48770 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Iosco County
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Deterministic. Every signal traces to a public dataset · methodology