ZIP 58533 Property Distress & Foreclosure Data
DLRadar grades ZIP 58533 (Grant County, North Dakota) at a low 17/100 for overall property distress. Property-level stress concentrates in construction/permit lag (100/100), structural risk (40/100), institutional ownership (28/100). By contrast, institutional ownership (28/100) and mortgage stress (17/100) register low. Structural risk reads 40/100 against active distress of 5/100.
The market reads expansion — home values rose 8.2% year on year, 2.0% off the recent peak, at 57/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
About 911 people live here, median age 46. Home values center near $92,800, an affordability ratio of 2.9× — accessible. Median household income is $38,500, below the U.S. median near $78,000. There are about 578 housing units across 58533. Vacancy runs 28.7%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 32/100. Rent burden reaches 45% of tenant households. 22.6% of residents fall below the poverty threshold. Owners hold 77% of homes, renters 23%. Educational attainment sits at 25% bachelor's-or-above.
Net-net, 58533 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.
Distress signal breakdown — ZIP 58533
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 Grant County
Unlock the full ZIP 58533 acquisition report
Get every distressed property in 58533 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology