ZIP 99918 Property Distress & Foreclosure Data

Composite property distress in 99918 (Prince Of Wales-Hyder County, Alaska) lands at 10/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (100/100), structural risk (26/100), mortgage stress (6/100). mortgage stress (6/100) and institutional ownership (3/100) stay muted. Structural exposure scores 26 and live distress 2 on the 0–100 scale.

Prices here sit in a peak phase: values rose 4.2% over the trailing year, at 34/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

Vacancy runs 43.8%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 99918 scores 39/100. A median home runs $250,000 here, or 7.7 times local income. The tenure split is 94% owner-occupied to 6% rented. About 16% have a four-year degree. Roughly 12.3% live below the poverty line. 308 residents call 99918 home, typically aged 57. Households earn a median $48,611 — below the roughly $78,000 national figure. There are about 215 housing units across 99918. Rent burden reaches 0% of tenant households.

Taken together, 99918 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

10/100
Composite stress
26/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 99918

Foreclosure activity0
Mortgage stress6
Climate / FEMA risk1
+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 Prince Of Wales-Hyder County

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Deterministic. Every signal traces to a public dataset · methodology