Juneau, AK
Juneau, AK's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Juneau at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 10,006 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Juneau's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
Where Juneau's buildings actually sit
57.7% of Juneau's 10,006 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 41.3% Direct and 1.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone. At 10,006 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Juneau compares
Juneau's risk sits at a similar level relative to Alaska (13th percentile statewide) as it does nationally (9th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Juneau ranks 28,606 for wildfire risk (1 is highest) and 1,610 by building count (1 is largest). Within Alaska alone, it ranks 281 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Shopping for coverage in Juneau
Juneau's low rating (9th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because 57.7% of Juneau's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Juneau's figures come from
The methodology guide shows exactly how USFS turned 10,006 counted buildings into the percentiles shown above for Juneau. The exposure-zones guide covers what Juneau's dominant indirect exposure actually means, with real examples from across the dataset.