ZIP 54742 Property Distress & Foreclosure Data

ZIP code 54742 in Eau Claire County, Wisconsin carries a composite property-distress score of 15/100 — a low reading on DLRadar's deterministic public-record index. Environmental exposure also runs high (climate & FEMA risk (81/100)). What sets it apart are the readings on structural risk (32/100), construction/permit lag (27/100), institutional ownership (3/100). On the quiet end sit institutional ownership (3/100) and mortgage stress (2/100). Structural risk reads 32/100 against active distress of 1/100.

The expansion-phase market in 54742 posted values that rose 6.2% over the year, and 21% higher over three years, at 41/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 4,854 with a median age of 43. 87% of housing is owner-occupied. The typical home is worth about $282,100 (3.0× income, relatively affordable). The poverty rate is 5.4% — low. There are about 1,519 housing units across 54742. Vacancy runs 2.3%. At $92,353, median income runs above typical U.S. levels. The demographic-stress sub-score lands at 24/100. Rent burden reaches 34% of tenant households. Around 34% of adults hold a bachelor's degree or higher.

Broadly, 54742 is a steadier market — the deals are the exceptions, not the rule. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

15/100
Composite stress
32/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 54742

Foreclosure activity0
Mortgage stress2
Climate / FEMA risk81
+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 Eau Claire County

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Deterministic. Every signal traces to a public dataset · methodology