ZIP 53532 Property Distress & Foreclosure Data

In Dane County, Wisconsin, ZIP 53532 scores 23 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (93/100), flood (NFIP) exposure (85/100). Its standout signals are structural risk (52/100), construction/permit lag (30/100), institutional ownership (19/100). By contrast, institutional ownership (19/100) and mortgage stress (7/100) register low. Structural risk reads 52/100 against active distress of 2/100.

The market reads peak — home values rose 4.1% year on year, and 20% higher over three years, at 29/100 phase confidence. Topping markets hide individual distress behind strong averages.

A median home runs $371,600 here, or 3.2 times local income. Households earn a median $110,050 — above the roughly $78,000 national figure. About 16,286 people live here, median age 39. There are about 6,625 housing units across 53532. Vacancy runs 2.9%. Rent burden reaches 28% of tenant households. Roughly 5.8% live below the poverty line, a low share typical of higher-equity areas. About 43% have a four-year degree. The tenure split is 81% owner-occupied to 19% rented. On demographic stress specifically, 53532 scores 24/100.

Overall 53532 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.

23/100
Composite stress
52/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 53532

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk93
+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 Dane County

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Deterministic. Every signal traces to a public dataset · methodology