ZIP 49632 Property Distress & Foreclosure Data

Composite property distress in 49632 (Missaukee County, Michigan) lands at 7/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (50/100), structural risk (17/100), mortgage stress (7/100). On the quiet end sit mortgage stress (7/100) and institutional ownership (3/100). Structural exposure scores 17 and live distress 2 on the 0–100 scale.

The expansion-phase market in 49632 posted values that rose 5.6% over the year, and 38% higher over three years, at 34/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Home values center near $151,000, an affordability ratio of 2.6× — accessible. 10.1% of residents fall below the poverty threshold. There are about 777 housing units across 49632. Educational attainment sits at 14% bachelor's-or-above. Population is roughly 1,010 with a median age of 55. Rent burden reaches 39% of tenant households. Owners hold 93% of homes, renters 7%. Median household income is $47,321, below the U.S. median near $78,000. Vacancy runs 40.4%, 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, 49632 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.

7/100
Composite stress
17/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 49632

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk13
+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 Missaukee County

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Deterministic. Every signal traces to a public dataset · methodology