ZIP 49720 Property Distress & Foreclosure Data

In Charlevoix County, Michigan, ZIP 49720 scores 9 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are construction/permit lag (51/100), structural risk (21/100), mortgage stress (7/100). mortgage stress (7/100) and institutional ownership (3/100) stay muted. Structural exposure scores 21 and live distress 2 on the 0–100 scale.

Prices here sit in a expansion phase: values rose 6.4% over the trailing year, and 30% higher over three years, at 37/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

9,113 residents call 49720 home, typically aged 53. A median home runs $297,500 here, or 3.5 times local income. The tenure split is 79% owner-occupied to 21% rented. Vacancy runs 28.6%, above the national norm and a classic distress-and-opportunity signal. There are about 6,215 housing units across 49720. On demographic stress specifically, 49720 scores 31/100. About 38% have a four-year degree. Households earn a median $76,127 — near the roughly $78,000 national figure. Rent burden reaches 45% of tenant households. Roughly 10.6% live below the poverty line.

Taken together, 49720 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

9/100
Composite stress
21/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 49720

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk25
+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 Charlevoix County

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Deterministic. Every signal traces to a public dataset · methodology