Tolsona, AK
Tolsona wildfire risk explained
Tolsona sits at the 97th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 43 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Tolsona's burn probability — fire likelihood with no building count factored in — sits at the 95th percentile nationally.
Tolsona's building exposure, zone by zone
43 buildings are counted in Tolsona, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Tolsona against the rest of the country
Tolsona's risk sits at a similar level relative to Alaska (91st percentile statewide) as it does nationally (97th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Tolsona ranks 1,089 for wildfire risk (1 is highest) and 31,090 by building count (1 is largest). Within Alaska alone, it ranks 31 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 97th percentile nationally, Tolsona 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.
Lowering exposure, not just insuring around it
With 100% of Tolsona in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Tolsona's figures come from
The methodology guide shows exactly how USFS turned 43 counted buildings into the percentiles shown above for Tolsona. The exposure-zones guide covers what Tolsona's dominant direct exposure actually means, with real examples from across the dataset.