Susitna North, AK
How exposed is Susitna North to wildfire?
Susitna North's 1,435 buildings earn a 85th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Susitna North at the 82nd percentile, close to its 85th-percentile risk score.
Susitna North's building exposure, zone by zone
Direct exposure dominates in Susitna North: 99.7% of its 1,435 buildings, versus 0.3% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Susitna North compares
Susitna North ranks lower within Alaska (69th percentile statewide) than its 85th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Susitna North ranks 4,684 for wildfire risk (1 is highest) and 9,454 by building count (1 is largest). Within Alaska alone, it ranks 101 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Susitna North and the insurance market
Susitna North's 85th-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
Because Direct exposure dominates in Susitna North (99.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Susitna North's figures come from
Every one of the two percentiles behind Susitna North's 4,684-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Susitna North's dominant direct exposure actually means, with real examples from across the dataset.