ZIP 49650 Property Distress & Foreclosure Data

Composite property distress in 49650 (Benzie County, Michigan) lands at 8/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (38/100), structural risk (17/100), mortgage stress (9/100). On the quiet end sit mortgage stress (9/100) and institutional ownership (3/100). Structural exposure scores 17 and live distress 3 on the 0–100 scale.

The expansion-phase market in 49650 posted values that rose 7.0% over the year, and 44% higher over three years, at 35/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 3,448 with a median age of 39. Owners hold 91% of homes, renters 9%. 3.1% of residents fall below the poverty threshold. Educational attainment sits at 38% bachelor's-or-above. Home values center near $275,400, an affordability ratio of 2.6× — accessible. Vacancy runs 13.9%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 25/100. Rent burden reaches 48% of tenant households. There are about 1,538 housing units across 49650. Median household income is $91,108, above the U.S. median near $78,000.

On the whole, 49650 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.

8/100
Composite stress
17/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 49650

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk23
+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 Benzie County

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Deterministic. Every signal traces to a public dataset · methodology