ZIP 54625 Property Distress & Foreclosure Data

ZIP code 54625 in Trempealeau County, Wisconsin carries a composite property-distress score of 20/100 — a low reading on DLRadar's deterministic public-record index. Structural risk reads 46/100 against active distress of 2/100. What sets it apart are the readings on construction/permit lag (62/100), structural risk (46/100), institutional ownership (15/100). On the quiet end sit institutional ownership (15/100) and mortgage stress (7/100). Environmental exposure also runs high (flood (NFIP) exposure (64/100), climate & FEMA risk (60/100)).

The expansion-phase market in 54625 posted values that rose 6.7% over the year, at 35/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 334 with a median age of 66. 88% of housing is owner-occupied. The demographic-stress sub-score lands at 32/100. There are about 235 housing units across 54625. The typical home is worth about $181,600 (3.4× income, relatively affordable). Vacancy runs 5.7%. Rent burden reaches 61% of tenant households. The poverty rate is 10.8%. Around 11% of adults hold a bachelor's degree or higher. At $53,177, median income runs below typical U.S. levels.

On balance 54625 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

20/100
Composite stress
46/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 54625

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk60
+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 Trempealeau County

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Deterministic. Every signal traces to a public dataset · methodology