ZIP 49654 Property Distress & Foreclosure Data

DLRadar grades ZIP 49654 (Leelanau County, Michigan) at a low 15/100 for overall property distress. Property-level stress concentrates in construction/permit lag (71/100), structural risk (33/100), mortgage stress (9/100). mortgage stress (9/100) and institutional ownership (3/100) stay muted. Structural exposure scores 33 and live distress 3 on the 0–100 scale.

Prices here sit in a expansion phase: values rose 7.0% over the trailing year, and 57% higher over three years, at 35/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

737 residents call 49654 home, typically aged 60. Vacancy runs 60.1%, above the national norm and a classic distress-and-opportunity signal. Roughly 0.7% live below the poverty line, a low share typical of higher-equity areas. About 61% have a four-year degree. A median home runs $706,900 here, or 5.8 times local income. There are about 647 housing units across 49654. The tenure split is 85% owner-occupied to 15% rented. Households earn a median $119,107 — above the roughly $78,000 national figure. On demographic stress specifically, 49654 scores 30/100. Rent burden reaches 0% of tenant households.

Taken together, 49654 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.

15/100
Composite stress
33/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 49654

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk50
+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 Leelanau County

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Deterministic. Every signal traces to a public dataset · methodology