Eek, AK
Eek wildfire risk explained
Eek sits at the 74th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 131 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Eek's burn probability — fire likelihood with no building count factored in — sits at the 78th percentile nationally.
Where Eek's buildings actually sit
Most of Eek's buildings (50.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Eek compares
Eek ranks lower within Alaska (57th percentile statewide) than its 74th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Eek ranks 8,056 for wildfire risk (1 is highest) and 27,648 by building count (1 is largest). Within Alaska alone, it ranks 139 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
What this risk score means for insurance
Eek's 74th-percentile, 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.
Hardening a home in Eek
With ember exposure the dominant pattern in Eek (50.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Eek's figures come from
The methodology guide shows exactly how USFS turned 131 counted buildings into the percentiles shown above for Eek. The exposure-zones guide covers what Eek's dominant indirect exposure actually means, with real examples from across the dataset.