ZIP 58029 Property Distress & Foreclosure Data

DLRadar grades ZIP 58029 (Cass County, North Dakota) at a low 28/100 for overall property distress. Structural exposure scores 62 and live distress 5 on the 0–100 scale. Property-level stress concentrates in structural risk (62/100), construction/permit lag (53/100), institutional ownership (42/100). By contrast, mortgage stress (16/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (86/100), flood (NFIP) exposure (65/100).

The market reads peak — home values rose 2.4% year on year, at 25/100 phase confidence. Topping markets hide individual distress behind strong averages.

About 71 people live here, median age 36. There are about 37 housing units across 58029. 8.5% of residents fall below the poverty threshold. Owners hold 79% of homes, renters 21%. Educational attainment sits at 50% bachelor's-or-above. DLRadar's demographic-stress index for the area reads 22/100. Home values center near $400,000, an affordability ratio of 2.9× — accessible. Rent burden reaches 0% of tenant households. Vacancy runs 34.9%, above the national norm and a classic distress-and-opportunity signal. Median household income is $143,750, above the U.S. median near $78,000.

Net-net, 58029 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

28/100
Composite stress
62/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 58029

Foreclosure activity0
Mortgage stress16
Climate / FEMA risk86
+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 Cass County

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Deterministic. Every signal traces to a public dataset · methodology