ZIP 83278 Property Distress & Foreclosure Data

In Custer County, Idaho, ZIP 83278 scores 10 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are construction/permit lag (26/100), structural risk (21/100), mortgage stress (9/100). On the quiet end sit mortgage stress (9/100) and institutional ownership (3/100). Structural exposure scores 21 and live distress 3 on the 0–100 scale.

The contraction-phase market in 83278 posted values that fell 1.2% over the year, 2.2% off the recent peak, at 51/100 phase confidence. Softening prices widen the spread between distressed and market value — what acquisition buyers watch for.

Population is roughly 443 with a median age of 67. Roughly 27.8% live below the poverty line, elevated and often tied to deferred-maintenance inventory. A median home runs $606,300 here, or 7.8 times local income. The tenure split is 99% owner-occupied to 1% rented. On demographic stress specifically, 83278 scores 38/100. Vacancy runs 53.0%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 0% of tenant households. Households earn a median $79,288 — near the roughly $78,000 national figure. There are about 510 housing units across 83278. About 59% have a four-year degree.

On the whole, 83278 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.

10/100
Composite stress
21/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 83278

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk45
+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 Custer County

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Deterministic. Every signal traces to a public dataset · methodology