Craig, AK
Craig, AK's wildfire risk, in USFS's own numbers
Craig sits at the 8th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 509 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Craig at the 8th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
46.2% of Craig's 509 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 31.8% Direct and 22% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Craig against the rest of the country
Craig's risk sits at a similar level relative to Alaska (10th percentile statewide) as it does nationally (8th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Craig ranks 28,984 for wildfire risk (1 is highest) and 17,179 by building count (1 is largest). Within Alaska alone, it ranks 289 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 8th national percentile, Craig rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Craig (46.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Craig's figures come from
Every one of the two percentiles behind Craig's 28,984-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Craig's dominant indirect exposure actually means, with real examples from across the dataset.