ZIP 53559 Property Distress & Foreclosure Data

ZIP code 53559 in Dane County, Wisconsin carries a composite property-distress score of 23/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (88/100). The latent-versus-live split is 53/100 structural and 2/100 already moving. What sets it apart are the readings on structural risk (53/100), construction/permit lag (30/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (8/100) register low.

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

On demographic stress specifically, 53559 scores 29/100. The vacancy rate is 5.6%. Households earn a median $95,805 — above the roughly $78,000 national figure. Around 49% of renters are cost-burdened. A median home runs $315,300 here, or 2.9 times local income. The ZIP holds roughly 2,499 housing units. Roughly 10.4% live below the poverty line. About 5,981 people live here, median age 38. About 28% have a four-year degree. The tenure split is 81% owner-occupied to 19% rented.

Overall 53559 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
53/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 53559

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk94
+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