WildfireRiskFinder

Kokhanok, AK

Kokhanok, AK's wildfire risk, in USFS's own numbers

Elevated
56thpercentile nationally

Out of every US place USFS scores, Kokhanok lands at the 56th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 92 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Kokhanok's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.

Where Kokhanok's buildings actually sit

92Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

Of Kokhanok's 92 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

Kokhanok against the rest of the country

Kokhanok scores 56th nationally and 46th within Alaska — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Kokhanok ranks 13,983 for wildfire risk (1 is highest) and 29,384 by building count (1 is largest). Within Alaska alone, it ranks 176 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.

Kokhanok and the insurance market

Kokhanok's elevated wildfire rating (56th 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 Kokhanok

Because Direct exposure dominates in Kokhanok (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Kokhanok's figures come from

The methodology guide shows exactly how USFS turned 92 counted buildings into the percentiles shown above for Kokhanok. The exposure-zones guide covers what Kokhanok's dominant direct exposure actually means, with real examples from across the dataset.