Womens Bay, AK
How exposed is Womens Bay to wildfire?
Womens Bay sits at the 46th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 529 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 Womens Bay at the 49th percentile, close to its 46th-percentile risk score.
Womens Bay's building exposure, zone by zone
74.5% of Womens Bay's 529 buildings sit in USFS's Direct exposure zone, roughly 394 structures close enough to burnable vegetation for flame contact, not just embers — 25.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Womens Bay ranks
Womens Bay scores 46th nationally and 35th within Alaska — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Womens Bay ranks 17,007 for wildfire risk (1 is highest) and 16,874 by building count (1 is largest). Within Alaska alone, it ranks 209 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
Womens Bay's elevated wildfire rating (46th 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
Womens Bay's 74.5% 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 Womens Bay's figures come from
Womens Bay's 46th-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 Womens Bay's dominant direct exposure actually means, with real examples from across the dataset.