Koyukuk, AK
Koyukuk wildfire risk explained
USFS's Wildfire Risk to Communities model puts Koyukuk at the 92nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 67 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Koyukuk at the 92nd percentile, close to its 92nd-percentile risk score.
Where Koyukuk's buildings actually sit
67 buildings are counted in Koyukuk, and 59.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 3% rated Minimal.
Koyukuk against the rest of the country
There's little gap between Koyukuk's 92nd national percentile and its 78th percentile inside Alaska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Koyukuk ranks 2,602 for wildfire risk (1 is highest) and 30,374 by building count (1 is largest). Within Alaska alone, it ranks 71 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
What this risk score means for insurance
Koyukuk's 92nd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because Direct exposure dominates in Koyukuk (59.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Koyukuk's figures come from
Koyukuk's 92nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Koyukuk's dominant direct exposure actually means, with real examples from across the dataset.