ZIP 58572 Property Distress & Foreclosure Data

ZIP code 58572 in Burleigh County, North Dakota carries a composite property-distress score of 22/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (87/100). On the structural side it scores 47/100, with 3/100 of stress already active. What sets it apart are the readings on structural risk (47/100), construction/permit lag (39/100), institutional ownership (28/100). By contrast, institutional ownership (28/100) and mortgage stress (11/100) register low.

The market reads peak — home values rose 3.0% year on year (phase confidence 27/100). Topping markets hide individual distress behind strong averages.

Median household income is $72,500, near the U.S. median near $78,000. 30.7% of residents fall below the poverty threshold. Owners hold 93% of homes, renters 7%. The vacancy rate is 14.1% — elevated. About 322 people live here, median age 59. The ZIP holds roughly 145 housing units. Around 33% of renters are cost-burdened. DLRadar's demographic-stress index for the area reads 40/100. Educational attainment sits at 27% bachelor's-or-above. Home values center near $447,700, an affordability ratio of 6.4×.

Net-net, 58572 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.

22/100
Composite stress
47/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 58572

Foreclosure activity0
Mortgage stress11
Climate / FEMA risk87
+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 Burleigh County

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Deterministic. Every signal traces to a public dataset · methodology