ZIP 48750 Property Distress & Foreclosure Data

Composite property distress in 48750 (Iosco County, Michigan) lands at 12/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (69/100), structural risk (27/100), mortgage stress (9/100). On the quiet end sit mortgage stress (9/100) and institutional ownership (3/100). Structural risk reads 27/100 against active distress of 3/100.

The expansion-phase market in 48750 posted values that rose 6.4% over the year, and 37% higher over three years, at 37/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

There are about 7,191 housing units across 48750. Home values center near $119,200, an affordability ratio of 2.6× — accessible. Median household income is $42,260, below the U.S. median near $78,000. Owners hold 81% of homes, renters 19%. Rent burden reaches 23% of tenant households. 19.8% of residents fall below the poverty threshold. Population is roughly 9,281 with a median age of 52. Educational attainment sits at 16% bachelor's-or-above. Vacancy runs 39.0%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 30/100.

On the whole, 48750 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.

12/100
Composite stress
27/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 48750

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk32
+9 more distress dimensions scored for this ZIP

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 Iosco County

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Deterministic. Every signal traces to a public dataset · methodology