ZIP 57376 Property Distress & Foreclosure Data
In Hutchinson County, South Dakota, ZIP 57376 scores 19 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are institutional ownership (44/100), structural risk (42/100), construction/permit lag (23/100). On the quiet end sit construction/permit lag (23/100) and mortgage stress (18/100). Structural exposure scores 42 and live distress 5 on the 0–100 scale.
The peak-phase market in 57376 posted values that rose 4.3% over the year, at 32/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Population is roughly 924 with a median age of 48. Vacancy runs 11.8%, above the national norm and a classic distress-and-opportunity signal. Roughly 8.2% live below the poverty line. Rent burden reaches 7% of tenant households. There are about 506 housing units across 57376. About 28% have a four-year degree. The tenure split is 74% owner-occupied to 26% rented. On demographic stress specifically, 57376 scores 19/100. A median home runs $102,500 here, or 1.8 times local income. Households earn a median $61,458 — below the roughly $78,000 national figure.
On balance 57376 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 57376
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 Hutchinson County
Unlock the full ZIP 57376 acquisition report
Get every distressed property in 57376 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