ZIP 57035 Property Distress & Foreclosure Data

Composite property distress in 57035 (Minnehaha County, South Dakota) lands at 32/100 — moderate on DLRadar's public-record scoring. Climate and flood risk are elevated too — flood (NFIP) exposure (88/100), climate & FEMA risk (87/100). The sharpest non-environmental signals are structural risk (72/100), construction/permit lag (65/100), institutional ownership (52/100). mortgage stress (19/100) stay muted. Structural exposure scores 72 and live distress 6 on the 0–100 scale.

Prices here sit in a neutral phase: values rose 3.5% over the trailing year, and 33% higher over three years, at 21/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

1,527 residents call 57035 home, typically aged 34. 95% of housing is owner-occupied. The typical home is worth about $326,500 (3.0× income, relatively affordable). The demographic-stress sub-score lands at 20/100. Vacancy runs 2.5%. Rent burden reaches 8% of tenant households. The poverty rate is 2.3% — low. At $101,250, median income runs above typical U.S. levels. There are about 577 housing units across 57035. Around 32% of adults hold a bachelor's degree or higher.

Overall, 57035 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.

32/100
Composite stress
72/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 57035

Foreclosure activity0
Mortgage stress19
Climate / FEMA risk87
+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 Minnehaha County

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Deterministic. Every signal traces to a public dataset · methodology