Moose Pass, AK
How exposed is Moose Pass to wildfire?
Moose Pass sits at the 28th 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 118 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Moose Pass's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.
Where Moose Pass's buildings actually sit
Direct exposure dominates in Moose Pass: 94.9% of its 118 buildings, versus 5.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Moose Pass against the rest of the country
There's little gap between Moose Pass's 28th national percentile and its 25th percentile inside Alaska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Moose Pass ranks 22,743 for wildfire risk (1 is highest) and 28,227 by building count (1 is largest). Within Alaska alone, it ranks 242 of 322 places by risk. See the full county-by-county picture for Alaska on its state page.
Moose Pass and the insurance market
At the 28th national percentile, Moose Pass rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Moose Pass
Moose Pass's 94.9% 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 Moose Pass's figures come from
Every one of the two percentiles behind Moose Pass's 22,743-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Moose Pass's dominant direct exposure actually means, with real examples from across the dataset.