Larch Way, WA
How exposed is Larch Way to wildfire?
USFS scores Larch Way at the 7th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 1,578 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Larch Way's burn probability — fire likelihood with no building count factored in — sits at the 7th percentile nationally.
Where Larch Way's buildings actually sit
Only 7.7% of Larch Way's 1,578 buildings carry Direct exposure and 0% carry Indirect; the remaining 92.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Larch Way against the rest of the country
There's little gap between Larch Way's 7th national percentile and its 5th percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Larch Way ranks 29,453 for wildfire risk (1 is highest) and 8,843 by building count (1 is largest). Within Washington alone, it ranks 596 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Larch Way
At the 7th national percentile, Larch Way 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
Even with 92.3% of Larch Way outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Larch Way's figures come from
Every one of the two percentiles behind Larch Way's 29,453-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Larch Way's dominant minimal exposure actually means, with real examples from across the dataset.