Nunapitchuk, AK
How exposed is Nunapitchuk to wildfire?
Out of every US place USFS scores, Nunapitchuk lands at the 69th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 204 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 Nunapitchuk at the 73rd percentile, close to its 69th-percentile risk score.
Where Nunapitchuk's buildings actually sit
72.1% of Nunapitchuk's 204 buildings sit in USFS's Direct exposure zone, roughly 147 structures close enough to burnable vegetation for flame contact, not just embers — 27.9% fall in the Indirect, ember-only zone and 0% are Minimal.
How Nunapitchuk compares
Inside Alaska, Nunapitchuk sits at just the 51st percentile even though it scores 69th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Nunapitchuk ranks 9,886 for wildfire risk (1 is highest) and 24,683 by building count (1 is largest). Within Alaska alone, it ranks 158 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
Nunapitchuk's high rating (69th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Nunapitchuk's 72.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Nunapitchuk's figures come from
Nunapitchuk's 69th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Nunapitchuk's dominant direct exposure actually means, with real examples from across the dataset.