ZIP 59262 Property Distress & Foreclosure Data

DLRadar grades ZIP 59262 (Richland County, Montana) at a minimal 11/100 for overall property distress. It additionally carries heavy environmental risk: climate & FEMA risk (61/100). Property-level stress concentrates in structural risk (22/100), institutional ownership (17/100), mortgage stress (10/100). By contrast, institutional ownership (17/100) and mortgage stress (10/100) register low. Structural risk reads 22/100 against active distress of 3/100.

The market reads peak — home values rose 3.4% year on year, at 41/100 phase confidence. Topping markets hide individual distress behind strong averages.

There are about 357 housing units across 59262. Vacancy runs 23.1%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 13% of tenant households. DLRadar's demographic-stress index for the area reads 31/100. About 595 people live here, median age 33. Median household income is $69,063, near the U.S. median near $78,000. Home values center near $278,300, an affordability ratio of 4.0× — accessible. 11.8% of residents fall below the poverty threshold. Owners hold 64% of homes, renters 36%. Educational attainment sits at 14% bachelor's-or-above.

Net-net, 59262 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.

11/100
Composite stress
22/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 59262

Foreclosure activity0
Mortgage stress10
Climate / FEMA risk61
+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 Richland County

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Deterministic. Every signal traces to a public dataset · methodology