ZIP 58357 Property Distress & Foreclosure Data

In Benson County, North Dakota, ZIP 58357 scores 3 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are structural risk (6/100), mortgage stress (5/100), institutional ownership (3/100). On the quiet end sit mortgage stress (5/100) and institutional ownership (3/100). Structural risk reads 6/100 against active distress of 2/100.

The expansion-phase market in 58357 posted values that rose 8.2% over the year, 2.0% off the recent peak, at 57/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 18.6%, above the national norm and a classic distress-and-opportunity signal. The tenure split is 87% owner-occupied to 13% rented. Rent burden reaches 0% of tenant households. There are about 198 housing units across 58357. A median home runs $60,600 here, or 0.7 times local income. Households earn a median $80,441 — near the roughly $78,000 national figure. Population is roughly 549 with a median age of 40. Roughly 17.9% live below the poverty line, elevated and often tied to deferred-maintenance inventory. About 25% have a four-year degree. On demographic stress specifically, 58357 scores 17/100.

On the whole, 58357 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.

3/100
Composite stress
6/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 58357

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk19
+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 Benson County

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Deterministic. Every signal traces to a public dataset · methodology