Circle, AK
Circle, AK's wildfire risk, in USFS's own numbers
USFS scores Circle at the 93rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 59 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Circle at the 93rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Circle's building exposure, zone by zone
59 buildings are counted in Circle, and 55.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 3.4% rated Minimal.
Where Circle ranks
Circle scores 93rd nationally and 80th 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, Circle ranks 2,224 for wildfire risk (1 is highest) and 30,670 by building count (1 is largest). Within Alaska alone, it ranks 65 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
At the 93rd percentile nationally, Circle carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Circle
With 55.9% of Circle 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 Circle's figures come from
Every one of the two percentiles behind Circle's 2,224-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Circle's dominant direct exposure actually means, with real examples from across the dataset.