ZIP 55385 Foreclosure, Tax-Lien & Distress Report

Mcleod County, Minnesota · Distress market

Mcleod County, Minnesota's ZIP 55385 registers 14/100 composite distress, which DLRadar reads as minimal. Structural exposure scores 29 and live distress 4 on the 0–100 scale. Climate and flood risk are elevated too — FEMA disaster exposure (64/100). The most distinctive pressure shows up in institutional ownership (37/100), structural risk (29/100), mortgage stress (14/100). structural risk (29/100) and mortgage stress (14/100) stay muted.

Prices here sit in a peak phase: values rose 4.0% over the trailing year, at 31/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

1,285 residents call 55385 home, typically aged 42. There are about 562 housing units across 55385. Owners hold 85% of homes, renters 15%. Educational attainment sits at 12% bachelor's-or-above. Rent burden reaches 48% of tenant households. 7.1% of residents fall below the poverty threshold. Vacancy runs 10.0%. DLRadar's demographic-stress index for the area reads 28/100. Home values center near $206,300, an affordability ratio of 2.4× — accessible. Median household income is $75,365, near the U.S. median near $78,000.

Overall, 55385 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

14/100
Composite stress
29/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 55385

Foreclosure activity0
Mortgage stress14
Climate / FEMA risk45
+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.

ZIP 55385 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology