King Cove, AK
How exposed is King Cove to wildfire?
Out of every US place USFS scores, King Cove lands at the 5th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 175 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts King Cove at the 5th percentile, close to its 5th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in King Cove (61.1% of 175 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 25.1% sit in the Direct zone.
King Cove against the rest of the country
King Cove's risk sits at a similar level relative to Alaska (2nd percentile statewide) as it does nationally (5th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, King Cove ranks 29,835 for wildfire risk (1 is highest) and 25,813 by building count (1 is largest). Within Alaska alone, it ranks 316 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
King Cove's low wildfire rating (5th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in King Cove
Because 61.1% of King Cove's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where King Cove's figures come from
Every one of the two percentiles behind King Cove's 29,835-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what King Cove's dominant indirect exposure actually means, with real examples from across the dataset.