Tyonek, AK
How exposed is Tyonek to wildfire?
Tyonek sits at the 70th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 148 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tyonek at the 64th national percentile — 6 points below its risk-to-structures score, a gap driven by how much is actually built there.
Tyonek's building exposure, zone by zone
Direct exposure dominates in Tyonek: 89.2% of its 148 buildings, versus 8.8% Indirect and 2% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Tyonek against the rest of the country
Tyonek's 70th national percentile looks worse in isolation than its 53rd ranking inside Alaska does — this place is on the milder end for its own state, by 17 points. Among the 31,521 US communities USFS scores, Tyonek ranks 9,411 for wildfire risk (1 is highest) and 26,938 by building count (1 is largest). Within Alaska alone, it ranks 153 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Tyonek and the insurance market
Tyonek's 70th-percentile, 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 Tyonek (89.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Tyonek's figures come from
Every one of the two percentiles behind Tyonek's 9,411-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tyonek's dominant direct exposure actually means, with real examples from across the dataset.