ZIP 48651 Property Distress & Foreclosure Data

Composite property distress in 48651 (Roscommon County, Michigan) lands at 13/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (54/100), structural risk (30/100), mortgage stress (11/100). On the quiet end sit mortgage stress (11/100) and institutional ownership (3/100). Structural risk reads 30/100 against active distress of 3/100.

The expansion-phase market in 48651 posted values that rose 6.4% over the year, and 24% 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 4,331 with a median age of 45. Owners hold 73% of homes, renters 27%. Home values center near $164,800, an affordability ratio of 3.6× — accessible. 23.3% of residents fall below the poverty threshold. There are about 3,844 housing units across 48651. Rent burden reaches 59% of tenant households. DLRadar's demographic-stress index for the area reads 40/100. Educational attainment sits at 19% bachelor's-or-above. Vacancy runs 47.0%, above the national norm and a classic distress-and-opportunity signal. Median household income is $42,938, below the U.S. median near $78,000.

On the whole, 48651 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.

13/100
Composite stress
30/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 48651

Foreclosure activity0
Mortgage stress11
Climate / FEMA risk52
+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 Roscommon County

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Deterministic. Every signal traces to a public dataset · methodology