Igiugig, AK
Igiugig, AK's wildfire risk, in USFS's own numbers
Igiugig sits at the 34th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 64 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Igiugig at the 35th percentile, close to its 34th-percentile risk score.
Igiugig's building exposure, zone by zone
Of Igiugig's 64 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 Igiugig compares
Igiugig's risk sits at a similar level relative to Alaska (27th percentile statewide) as it does nationally (34th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Igiugig ranks 20,820 for wildfire risk (1 is highest) and 30,489 by building count (1 is largest). Within Alaska alone, it ranks 235 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Igiugig and the insurance market
Igiugig's moderate wildfire rating (34th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Igiugig's 100% 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 Igiugig's figures come from
Igiugig's 34th-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 Igiugig's dominant direct exposure actually means, with real examples from across the dataset.