ZIP 98362 Property Distress & Foreclosure Data

ZIP code 98362 in Clallam County, Washington carries a composite property-distress score of 22/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (88/100), FEMA disaster exposure (64/100). What sets it apart are the readings on structural risk (44/100), institutional ownership (35/100), construction/permit lag (17/100). By contrast, construction/permit lag (17/100) and mortgage stress (14/100) register low. Structural exposure scores 44 and live distress 4 on the 0–100 scale.

The market reads peak — home values rose 2.8% year on year, and 12% higher over three years, at 26/100 phase confidence. Topping markets hide individual distress behind strong averages.

About 23,907 people live here, median age 49. The poverty rate is 9.6%. 67% of housing is owner-occupied. There are about 11,857 housing units across 98362. The typical home is worth about $403,300 (5.4× income). The demographic-stress sub-score lands at 36/100. Rent burden reaches 47% of tenant households. At $67,778, median income runs below typical U.S. levels. Vacancy runs 8.9%. Around 32% of adults hold a bachelor's degree or higher.

Net-net, 98362 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

22/100
Composite stress
44/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 98362

Foreclosure activity0
Mortgage stress14
Climate / FEMA risk88
+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 Clallam County

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Deterministic. Every signal traces to a public dataset · methodology