ZIP 54126 Property Distress & Foreclosure Data

In Brown County, Wisconsin, ZIP 54126 scores 21 of 100 for composite distress, a low level on DLRadar's public-record index. Structural risk reads 47/100 against active distress of 1/100. Its standout signals are construction/permit lag (77/100), structural risk (47/100), institutional ownership (3/100). By contrast, institutional ownership (3/100) and mortgage stress (2/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (90/100).

The market reads expansion — home values rose 6.2% year on year, and 45% higher over three years, at 32/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 4,149 people live here, median age 39. A median home runs $283,900 here, or 2.6 times local income. On demographic stress specifically, 54126 scores 23/100. There are about 1,602 housing units across 54126. Vacancy runs 3.5%. Rent burden reaches 26% of tenant households. Roughly 6.2% live below the poverty line, a low share typical of higher-equity areas. About 24% have a four-year degree. The tenure split is 90% owner-occupied to 10% rented. Households earn a median $101,111 — above the roughly $78,000 national figure.

Overall 54126 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 54126

Foreclosure activity0
Mortgage stress2
Climate / FEMA risk90
+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