ZIP 49320 Property Distress & Foreclosure Data

DLRadar grades ZIP 49320 (Mecosta County, Michigan) at a low 17/100 for overall property distress. Structural exposure scores 37 and live distress 2 on the 0–100 scale. Environmental exposure also runs high (climate & FEMA risk (68/100)). Property-level stress concentrates in construction/permit lag (66/100), structural risk (37/100), mortgage stress (5/100). On the quiet end sit mortgage stress (5/100) and institutional ownership (3/100).

The expansion-phase market in 49320 posted values that rose 5.6% over the year, at 34/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 68.2%, above the national norm and a classic distress-and-opportunity signal. 6.8% of residents fall below the poverty threshold. Population is roughly 220 with a median age of 57. Owners hold 72% of homes, renters 28%. Educational attainment sits at 3% bachelor's-or-above. Median household income is $68,804, near the U.S. median near $78,000. There are about 252 housing units across 49320. DLRadar's demographic-stress index for the area reads 29/100. Home values center near $128,100, an affordability ratio of 1.8× — accessible. Rent burden reaches 20% of tenant households.

On the whole, 49320 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.

17/100
Composite stress
37/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 49320

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk68
+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 Mecosta County

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Deterministic. Every signal traces to a public dataset · methodology