WildfireRiskFinder

Napakiak, AK

How exposed is Napakiak to wildfire?

High
77thpercentile nationally

Napakiak's 144 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Napakiak at the 82nd percentile, close to its 77th-percentile risk score.

Napakiak's building exposure, zone by zone

144Total buildings
60.4%Direct exposure
39.6%Indirect exposure
0%Minimal exposure

144 buildings are counted in Napakiak, and 60.4% 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.

Where Napakiak ranks

Inside Alaska, Napakiak sits at just the 60th percentile even though it scores 77th 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, Napakiak ranks 7,205 for wildfire risk (1 is highest) and 27,109 by building count (1 is largest). Within Alaska alone, it ranks 130 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.

Shopping for coverage in Napakiak

Napakiak's high rating (77th 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

Because Direct exposure dominates in Napakiak (60.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Napakiak's figures come from

Napakiak's 77th-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 Napakiak's dominant direct exposure actually means, with real examples from across the dataset.