ZIP 53581 Property Distress & Foreclosure Data

ZIP code 53581 in Richland County, Wisconsin carries a composite property-distress score of 8/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on structural risk (15/100), mortgage stress (4/100), institutional ownership (3/100). On the quiet end sit mortgage stress (4/100) and institutional ownership (3/100). Structural exposure scores 15 and live distress 1 on the 0–100 scale.

The expansion-phase market in 53581 posted values that rose 6.7% over the year, and 43% higher over three years, at 35/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

72% of housing is owner-occupied. The poverty rate is 14.6%. The typical home is worth about $196,100 (3.0× income, relatively affordable). Rent burden reaches 18% of tenant households. Population is roughly 10,141 with a median age of 47. There are about 4,934 housing units across 53581. The demographic-stress sub-score lands at 27/100. At $59,630, median income runs below typical U.S. levels. Vacancy runs 15.0%, above the national norm and a classic distress-and-opportunity signal. Around 21% of adults hold a bachelor's degree or higher.

On the whole, 53581 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

8/100
Composite stress
15/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 53581

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk49
+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 Richland County

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Deterministic. Every signal traces to a public dataset · methodology