Tuntutuliak, AK
Tuntutuliak wildfire risk explained
USFS's Wildfire Risk to Communities model puts Tuntutuliak at the 67th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 146 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 Tuntutuliak at the 73rd percentile, close to its 67th-percentile risk score.
What "at risk" means for the buildings here
84.9% of Tuntutuliak's 146 buildings sit in USFS's Direct exposure zone, roughly 124 structures close enough to burnable vegetation for flame contact, not just embers — 15.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Tuntutuliak against the rest of the country
Tuntutuliak ranks lower within Alaska (50th percentile statewide) than its 67th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Tuntutuliak ranks 10,326 for wildfire risk (1 is highest) and 27,007 by building count (1 is largest). Within Alaska alone, it ranks 161 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 67th percentile nationally, Tuntutuliak carries the 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
Because Direct exposure dominates in Tuntutuliak (84.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Tuntutuliak's figures come from
Every one of the two percentiles behind Tuntutuliak's 10,326-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tuntutuliak's dominant direct exposure actually means, with real examples from across the dataset.