ZIP 58645 Property Distress & Foreclosure Data

In Billings County, North Dakota, ZIP 58645 scores 10 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are construction/permit lag (91/100), structural risk (24/100), mortgage stress (6/100). On the quiet end sit mortgage stress (6/100) and institutional ownership (3/100). Structural exposure scores 24 and live distress 2 on the 0–100 scale.

The expansion-phase market in 58645 posted values that rose 5.1% over the year, at 28/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 38.2%, above the national norm and a classic distress-and-opportunity signal. There are about 207 housing units across 58645. A median home runs $258,300 here, or 5.1 times local income. Households earn a median $68,125 — below the roughly $78,000 national figure. The tenure split is 70% owner-occupied to 30% rented. Roughly 20.1% live below the poverty line, elevated and often tied to deferred-maintenance inventory. Population is roughly 269 with a median age of 66. Rent burden reaches 10% of tenant households. On demographic stress specifically, 58645 scores 35/100. About 31% have a four-year degree.

On the whole, 58645 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.

10/100
Composite stress
24/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 58645

Foreclosure activity0
Mortgage stress6
Climate / FEMA risk2
+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 Billings County

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Deterministic. Every signal traces to a public dataset · methodology