ZIP 54180 Property Distress & Foreclosure Data

In Brown County, Wisconsin, ZIP 54180 scores 21 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (89/100). Its standout signals are construction/permit lag (70/100), structural risk (47/100), institutional ownership (5/100). By contrast, institutional ownership (5/100) and mortgage stress (3/100) register low. Structural risk reads 47/100 against active distress of 1/100.

The market reads expansion — home values rose 6.1% year on year, and 26% higher over three years, at 31/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

Vacancy runs 0.3%. Rent burden reaches 13% of tenant households. About 3,364 people live here, median age 36. About 46% have a four-year degree. The tenure split is 81% owner-occupied to 19% rented. There are about 1,263 housing units across 54180. A median home runs $286,200 here, or 2.7 times local income. Roughly 1.2% live below the poverty line, a low share typical of higher-equity areas. Households earn a median $101,731 — above the roughly $78,000 national figure. On demographic stress specifically, 54180 scores 19/100.

Overall 54180 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

21/100
Composite stress
47/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 54180

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk89
+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 Brown County

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Deterministic. Every signal traces to a public dataset · methodology