ZIP 49614 Property Distress & Foreclosure Data

Composite property distress in 49614 (Manistee County, Michigan) lands at 6/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are structural risk (11/100), mortgage stress (8/100), institutional ownership (3/100). On the quiet end sit mortgage stress (8/100) and institutional ownership (3/100). Structural exposure scores 11 and live distress 2 on the 0–100 scale.

The expansion-phase market in 49614 posted values that rose 6.4% over the year, and 22% higher over three years, at 37/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 2,903 with a median age of 53. Home values center near $223,100, an affordability ratio of 2.9× — accessible. There are about 1,986 housing units across 49614. DLRadar's demographic-stress index for the area reads 28/100. Educational attainment sits at 29% bachelor's-or-above. Vacancy runs 40.1%, above the national norm and a classic distress-and-opportunity signal. 7.8% of residents fall below the poverty threshold. Rent burden reaches 38% of tenant households. Owners hold 95% of homes, renters 5%. Median household income is $71,389, near the U.S. median near $78,000.

On the whole, 49614 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.

6/100
Composite stress
11/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 49614

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk35
+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 Manistee County

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Deterministic. Every signal traces to a public dataset · methodology