Nondalton, AK
Nondalton, AK's wildfire risk, in USFS's own numbers
Nondalton's 110 buildings earn a 73rd-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nondalton at the 69th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Nondalton's building exposure, zone by zone
Of Nondalton's 110 counted buildings, 56.4% carry Direct exposure and only 6.4% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Nondalton against the rest of the country
Nondalton's 73rd national percentile looks worse in isolation than its 56th ranking inside Alaska does — this place is on the milder end for its own state, by 17 points. Among the 31,521 US communities USFS scores, Nondalton ranks 8,622 for wildfire risk (1 is highest) and 28,614 by building count (1 is largest). Within Alaska alone, it ranks 143 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Nondalton and the insurance market
At the 73rd percentile nationally, Nondalton carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Nondalton's 56.4% 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 Nondalton's figures come from
Nondalton's 73rd-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 Nondalton's dominant direct exposure actually means, with real examples from across the dataset.