ZIP 57067 Property Distress & Foreclosure Data

Composite property distress in 57067 (Yankton County, South Dakota) lands at 25/100 — low on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (99/100), structural risk (55/100), institutional ownership (32/100). On the quiet end sit institutional ownership (32/100) and mortgage stress (13/100). The latent-versus-live split is 55/100 structural and 4/100 already moving. Environmental exposure also runs high (climate & FEMA risk (61/100)).

The peak-phase market in 57067 posted values that rose 3.7% over the year (phase confidence 20/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

On demographic stress specifically, 57067 scores 19/100. Around 0% of renters are cost-burdened. Roughly 3.0% live below the poverty line, a low share typical of higher-equity areas. Population is roughly 314 with a median age of 40. The ZIP holds roughly 149 housing units. A median home runs $326,900 here, or 2.1 times local income. About 18% have a four-year degree. The tenure split is 96% owner-occupied to 4% rented. Households earn a median $101,513 — above the roughly $78,000 national figure. The vacancy rate is 30.8% — elevated.

On the whole, 57067 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

25/100
Composite stress
55/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 57067

Foreclosure activity0
Mortgage stress13
Climate / FEMA risk61
+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 Yankton County

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Deterministic. Every signal traces to a public dataset · methodology