Lazy Mountain, AK
Lazy Mountain, AK's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Lazy Mountain lands at the 43rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 1,019 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 Lazy Mountain at the 43rd percentile, close to its 43rd-percentile risk score.
Where Lazy Mountain's buildings actually sit
Of Lazy Mountain's 1,019 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.
How Lazy Mountain compares
There's little gap between Lazy Mountain's 43rd national percentile and its 33rd percentile inside Alaska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lazy Mountain ranks 17,858 for wildfire risk (1 is highest) and 11,802 by building count (1 is largest). Within Alaska alone, it ranks 216 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Lazy Mountain and the insurance market
Lazy Mountain's elevated rating (43rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Lazy Mountain (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Lazy Mountain's figures come from
Lazy Mountain's 43rd-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 Lazy Mountain's dominant direct exposure actually means, with real examples from across the dataset.