Slana, AK
Slana wildfire risk explained
USFS's Wildfire Risk to Communities model puts Slana at the 88th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 156 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Slana at the 86th percentile, close to its 88th-percentile risk score.
What "at risk" means for the buildings here
Of Slana's 156 counted buildings, 98.1% 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 Slana compares
Slana ranks lower within Alaska (72nd percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Slana ranks 3,926 for wildfire risk (1 is highest) and 26,599 by building count (1 is largest). Within Alaska alone, it ranks 92 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Shopping for coverage in Slana
Slana's 88th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With 98.1% of Slana in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Slana's figures come from
Slana's 88th-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 Slana's dominant direct exposure actually means, with real examples from across the dataset.