ZIP 54171 Property Distress & Foreclosure Data

In Oconto County, Wisconsin, ZIP 54171 scores 11 of 100 for composite distress, a minimal level on DLRadar's public-record index. Structural exposure scores 23 and live distress 2 on the 0–100 scale. It additionally carries heavy environmental risk: climate & FEMA risk (63/100). Its standout signals are structural risk (23/100), construction/permit lag (14/100), mortgage stress (7/100). By contrast, mortgage stress (7/100) and institutional ownership (3/100) register low.

The market reads expansion — home values rose 6.2% year on year, and 26% higher over three years, at 32/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

The tenure split is 94% owner-occupied to 6% rented. A median home runs $349,100 here, or 2.6 times local income. Vacancy runs 3.1%. Households earn a median $115,833 — above the roughly $78,000 national figure. There are about 1,441 housing units across 54171. Roughly 3.3% live below the poverty line, a low share typical of higher-equity areas. About 32% have a four-year degree. On demographic stress specifically, 54171 scores 18/100. About 4,029 people live here, median age 39. Rent burden reaches 5% of tenant households.

Overall 54171 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.

11/100
Composite stress
23/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 54171

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk63
+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 Oconto County

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Deterministic. Every signal traces to a public dataset · methodology