ZIP 58573 Property Distress & Foreclosure Data

In Emmons County, North Dakota, ZIP 58573 scores 16 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are construction/permit lag (42/100), structural risk (34/100), institutional ownership (28/100). On the quiet end sit institutional ownership (28/100) and mortgage stress (15/100). Structural risk reads 34/100 against active distress of 4/100.

The expansion-phase market in 58573 posted values that rose 8.2% over the year, 2.0% off the recent peak, at 57/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 736 with a median age of 48. The tenure split is 82% owner-occupied to 18% rented. There are about 365 housing units across 58573. Roughly 5.2% live below the poverty line, a low share typical of higher-equity areas. A median home runs $99,300 here, or 1.5 times local income. On demographic stress specifically, 58573 scores 23/100. Vacancy runs 24.0%, above the national norm and a classic distress-and-opportunity signal. About 19% have a four-year degree. Rent burden reaches 28% of tenant households. Households earn a median $65,000 — below the roughly $78,000 national figure.

On the whole, 58573 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.

16/100
Composite stress
34/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 58573

Foreclosure activity0
Mortgage stress15
Climate / FEMA risk43
+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 Emmons County

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Deterministic. Every signal traces to a public dataset · methodology