ZIP 57479 Property Distress & Foreclosure Data

ZIP code 57479 in Brown County, South Dakota carries a composite property-distress score of 12/100 — a minimal reading on DLRadar's deterministic public-record index. Structural exposure scores 24 and live distress 1 on the 0–100 scale. Climate and flood risk are elevated too — climate & FEMA risk (76/100). What sets it apart are the readings on structural risk (24/100), institutional ownership (5/100), mortgage stress (4/100). institutional ownership (5/100) and mortgage stress (4/100) stay muted.

Prices here sit in a peak phase: values rose 3.7% over the trailing year, and 15% higher over three years, at 20/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

659 residents call 57479 home, typically aged 40. The demographic-stress sub-score lands at 15/100. The typical home is worth about $256,300 (2.4× income, relatively affordable). At $96,964, median income runs above typical U.S. levels. 94% of housing is owner-occupied. The poverty rate is 0.3% — low. Vacancy runs 2.5%. Rent burden reaches 0% of tenant households. There are about 249 housing units across 57479. Around 36% of adults hold a bachelor's degree or higher.

On balance, 57479 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

12/100
Composite stress
24/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 57479

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk76
+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 Brown County

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Deterministic. Every signal traces to a public dataset · methodology