ZIP 54409 Property Distress & Foreclosure Data

ZIP code 54409 in Langlade County, Wisconsin carries a composite property-distress score of 13/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (40/100), structural risk (28/100), mortgage stress (5/100). On the quiet end sit mortgage stress (5/100) and institutional ownership (4/100). Structural risk reads 28/100 against active distress of 2/100.

The expansion-phase market in 54409 posted values that rose 6.9% over the year, and 38% higher over three years, at 38/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

There are about 6,541 housing units across 54409. 72% of housing is owner-occupied. The typical home is worth about $123,300 (2.1× income, relatively affordable). The poverty rate is 12.9%. At $55,340, median income runs below typical U.S. levels. Rent burden reaches 32% of tenant households. Vacancy runs 12.4%, above the national norm and a classic distress-and-opportunity signal. Around 16% of adults hold a bachelor's degree or higher. Population is roughly 12,757 with a median age of 46. The demographic-stress sub-score lands at 26/100.

On the whole, 54409 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.

13/100
Composite stress
28/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 54409

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk54
+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 Langlade County

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Deterministic. Every signal traces to a public dataset · methodology