Akiachak, AK
Akiachak, AK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Akiachak at the 82nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 241 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Akiachak's burn probability — fire likelihood with no building count factored in — sits at the 87th percentile nationally.
Where Akiachak's buildings actually sit
Indirect exposure is dominant in Akiachak (69.3% of 241 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 30.7% sit in the Direct zone.
Akiachak against the rest of the country
Akiachak ranks lower within Alaska (64th percentile statewide) than its 82nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Akiachak ranks 5,786 for wildfire risk (1 is highest) and 23,413 by building count (1 is largest). Within Alaska alone, it ranks 118 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
At the 82nd percentile nationally, Akiachak carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Akiachak's 69.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Akiachak's figures come from
Akiachak's 82nd-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 Akiachak's dominant indirect exposure actually means, with real examples from across the dataset.