ZIP 58249 Property Distress & Foreclosure Data

In Cavalier County, North Dakota, ZIP 58249 scores 7 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are construction/permit lag (50/100), structural risk (16/100), mortgage stress (6/100). On the quiet end sit mortgage stress (6/100) and institutional ownership (3/100). Structural exposure scores 16 and live distress 2 on the 0–100 scale.

The expansion-phase market in 58249 posted values that rose 8.2% over the year, 2.0% off the recent peak, and 7% higher over three years, at 57/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

A median home runs $148,500 here, or 2.2 times local income. Roughly 9.1% live below the poverty line. Population is roughly 2,363 with a median age of 48. Vacancy runs 20.5%, above the national norm and a classic distress-and-opportunity signal. There are about 1,235 housing units across 58249. On demographic stress specifically, 58249 scores 27/100. The tenure split is 80% owner-occupied to 20% rented. Rent burden reaches 43% of tenant households. Households earn a median $64,805 — below the roughly $78,000 national figure. About 22% have a four-year degree.

On the whole, 58249 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.

7/100
Composite stress
16/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 58249

Foreclosure activity0
Mortgage stress6
Climate / FEMA risk11
+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 Cavalier County

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Deterministic. Every signal traces to a public dataset · methodology