ZIP 58762 Property Distress & Foreclosure Data

In Bottineau County, North Dakota, ZIP 58762 scores 3 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are mortgage stress (7/100), structural risk (7/100), institutional ownership (3/100). On the quiet end sit structural risk (7/100) and institutional ownership (3/100). Structural exposure scores 7 and live distress 2 on the 0–100 scale.

The expansion-phase market in 58762 posted values that rose 7.3% over the year, 2.0% off the recent peak, at 52/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 22.9%, above the national norm and a classic distress-and-opportunity signal. The tenure split is 74% owner-occupied to 26% rented. A median home runs $118,400 here, or 1.3 times local income. On demographic stress specifically, 58762 scores 21/100. Roughly 3.0% live below the poverty line, a low share typical of higher-equity areas. Rent burden reaches 29% of tenant households. There are about 103 housing units across 58762. Households earn a median $89,464 — above the roughly $78,000 national figure. Population is roughly 231 with a median age of 34. About 32% have a four-year degree.

On the whole, 58762 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
7/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 58762

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk20
+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 Bottineau County

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Deterministic. Every signal traces to a public dataset · methodology