ZIP 49968 Property Distress & Foreclosure Data

ZIP code 49968 in Gogebic County, Michigan carries a composite property-distress score of 7/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (33/100), structural risk (15/100), mortgage stress (8/100). On the quiet end sit mortgage stress (8/100) and institutional ownership (3/100). Structural risk reads 15/100 against active distress of 2/100.

The expansion-phase market in 49968 posted values that rose 6.4% over the year, at 37/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 29.3%, above the national norm and a classic distress-and-opportunity signal. Home values center near $91,800, an affordability ratio of 1.5× — accessible. There are about 1,379 housing units across 49968. DLRadar's demographic-stress index for the area reads 29/100. Population is roughly 2,305 with a median age of 47. Median household income is $51,607, below the U.S. median near $78,000. Owners hold 86% of homes, renters 14%. Educational attainment sits at 19% bachelor's-or-above. Rent burden reaches 51% of tenant households. 18.9% of residents fall below the poverty threshold.

On the whole, 49968 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
15/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 49968

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk21
+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 Gogebic County

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Deterministic. Every signal traces to a public dataset · methodology