ZIP 58497 Property Distress & Foreclosure Data
In Stutsman County, North Dakota, ZIP 58497 scores 18 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: FEMA disaster exposure (64/100). The latent-versus-live split is 39/100 structural and 4/100 already moving. Its standout signals are construction/permit lag (42/100), structural risk (39/100), institutional ownership (35/100). By contrast, institutional ownership (35/100) and mortgage stress (14/100) register low.
The market reads expansion — home values rose 5.1% year on year (phase confidence 28/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.
Educational attainment sits at 26% bachelor's-or-above. 11.8% of residents fall below the poverty threshold. About 220 people live here, median age 49. The vacancy rate is 15.1% — elevated. DLRadar's demographic-stress index for the area reads 22/100. The ZIP holds roughly 170 housing units. Home values center near $259,100, an affordability ratio of 2.6× — accessible. Median household income is $108,618, above the U.S. median near $78,000. Owners hold 100% of homes, renters 0%.
Net-net, 58497 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 58497
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 Stutsman County
Unlock the full ZIP 58497 acquisition report
Get every distressed property in 58497 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