ZIP 49746 Property Distress & Foreclosure Data

Montmorency County, Michigan's ZIP 49746 registers 10/100 composite distress, which DLRadar reads as minimal. The most distinctive pressure shows up in construction/permit lag (76/100), structural risk (24/100), mortgage stress (8/100). On the quiet end sit mortgage stress (8/100) and institutional ownership (3/100). Structural exposure scores 24 and live distress 3 on the 0–100 scale.

The expansion-phase market in 49746 posted values that rose 6.2% over the year, and 18% higher over three years, at 37/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 37.4%, above the national norm and a classic distress-and-opportunity signal. Home values center near $164,400, an affordability ratio of 3.0× — accessible. DLRadar's demographic-stress index for the area reads 33/100. Educational attainment sits at 13% bachelor's-or-above. Population is roughly 3,502 with a median age of 54. Median household income is $47,776, below the U.S. median near $78,000. Owners hold 84% of homes, renters 16%. There are about 2,695 housing units across 49746. Rent burden reaches 42% of tenant households. 18.0% of residents fall below the poverty threshold.

On the whole, 49746 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.

10/100
Composite stress
24/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 49746

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk15
+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 Montmorency County

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Deterministic. Every signal traces to a public dataset · methodology