ZIP 57106 Property Distress & Foreclosure Data
DLRadar grades ZIP 57106 (Minnehaha County, South Dakota) at a moderate 32/100 for overall property distress. Property-level stress concentrates in structural risk (71/100), construction/permit lag (65/100), institutional ownership (52/100). On the quiet end sit mortgage stress (19/100). On the structural side it scores 71/100, with 6/100 of stress already active. Environmental exposure also runs high (flood (NFIP) exposure (89/100), climate & FEMA risk (84/100)).
The neutral-phase market in 57106 posted values that rose 3.5% over the year, and 10% higher over three years (phase confidence 21/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.
Households earn a median $77,070 — near the roughly $78,000 national figure. Roughly 8.7% live below the poverty line. The vacancy rate is 1.8%. Around 31% of renters are cost-burdened. On demographic stress specifically, 57106 scores 28/100. The tenure split is 60% owner-occupied to 40% rented. Population is roughly 51,780 with a median age of 34. A median home runs $290,200 here, or 3.5 times local income. About 35% have a four-year degree. The ZIP holds roughly 22,446 housing units.
On balance 57106 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 57106
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
Unlock the full ZIP 57106 acquisition report
Get every distressed property in 57106 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology