ZIP 58630 Property Distress & Foreclosure Data

ZIP code 58630 in Stark County, North Dakota carries a composite property-distress score of 8/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on structural risk (17/100), institutional ownership (10/100), mortgage stress (6/100). On the quiet end sit institutional ownership (10/100) and mortgage stress (6/100). Structural exposure scores 17 and live distress 2 on the 0–100 scale.

The peak-phase market in 58630 posted values that rose 4.9% over the year, at 28/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

There are about 260 housing units across 58630. Roughly 6.6% live below the poverty line, a low share typical of higher-equity areas. A median home runs $256,300 here, or 2.1 times local income. About 17% have a four-year degree. Population is roughly 412 with a median age of 54. Rent burden reaches 8% of tenant households. Vacancy runs 29.4%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 58630 scores 22/100. The tenure split is 78% owner-occupied to 22% rented. Households earn a median $112,625 — above the roughly $78,000 national figure.

On the whole, 58630 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.

8/100
Composite stress
17/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 58630

Foreclosure activity0
Mortgage stress6
Climate / FEMA risk31
+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 Stark County

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Deterministic. Every signal traces to a public dataset · methodology