ZIP 58384 Property Distress & Foreclosure Data

In Bottineau County, North Dakota, ZIP 58384 scores 3 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are structural risk (7/100), mortgage stress (6/100), institutional ownership (3/100). On the quiet end sit mortgage stress (6/100) and institutional ownership (3/100). Structural exposure scores 7 and live distress 2 on the 0–100 scale.

The expansion-phase market in 58384 posted values that rose 7.4% 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.

Population is roughly 322 with a median age of 60. About 22% have a four-year degree. The tenure split is 84% owner-occupied to 16% rented. Vacancy runs 32.3%, above the national norm and a classic distress-and-opportunity signal. A median home runs $94,100 here, or 0.9 times local income. Roughly 3.1% live below the poverty line, a low share typical of higher-equity areas. Households earn a median $71,875 — near the roughly $78,000 national figure. There are about 306 housing units across 58384. On demographic stress specifically, 58384 scores 19/100. Rent burden reaches 20% of tenant households.

On the whole, 58384 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 58384

Foreclosure activity0
Mortgage stress6
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