ZIP 49423 Property Distress & Foreclosure Data

In Allegan County, Michigan, ZIP 49423 scores 18 of 100 for composite distress, a low level on DLRadar's public-record index. Structural exposure scores 39 and live distress 1 on the 0–100 scale. Climate and flood risk are elevated too — climate & FEMA risk (74/100). Its standout signals are construction/permit lag (46/100), structural risk (39/100), institutional ownership (7/100). institutional ownership (7/100) and mortgage stress (5/100) stay muted.

Prices here sit in a expansion phase: values rose 5.6% over the trailing year, and 25% higher over three years, at 33/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

46,693 residents call 49423 home, typically aged 35. A median home runs $278,000 here, or 3.2 times local income. Vacancy runs 6.7%. About 37% have a four-year degree. Rent burden reaches 38% of tenant households. Roughly 8.5% live below the poverty line. There are about 19,417 housing units across 49423. On demographic stress specifically, 49423 scores 27/100. The tenure split is 74% owner-occupied to 26% rented. Households earn a median $78,524 — near the roughly $78,000 national figure.

On balance, 49423 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

18/100
Composite stress
39/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 49423

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk74
+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 Allegan County

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Deterministic. Every signal traces to a public dataset · methodology