Chickaloon, AK
Chickaloon, AK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Chickaloon lands at the 53rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 254 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Chickaloon's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Where Chickaloon's buildings actually sit
USFS classifies 100% of Chickaloon's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 254 structures sit close enough to vegetation that lot clearing matters most.
How Chickaloon compares
Chickaloon's risk sits at a similar level relative to Alaska (42nd percentile statewide) as it does nationally (53rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Chickaloon ranks 14,676 for wildfire risk (1 is highest) and 23,004 by building count (1 is largest). Within Alaska alone, it ranks 186 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Shopping for coverage in Chickaloon
At the 53rd national percentile, Chickaloon rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 100% of Chickaloon 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 Chickaloon's figures come from
Every one of the two percentiles behind Chickaloon's 14,676-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Chickaloon's dominant direct exposure actually means, with real examples from across the dataset.