Wilkeson, WA
How exposed is Wilkeson to wildfire?
USFS scores Wilkeson at the 51st national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 277 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Wilkeson at the 51st percentile, close to its 51st-percentile risk score.
What "at risk" means for the buildings here
65.7% of Wilkeson's 277 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 34.3% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Wilkeson against the rest of the country
Wilkeson scores 51st nationally and 62nd within Washington — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Wilkeson ranks 15,522 for wildfire risk (1 is highest) and 22,308 by building count (1 is largest). Within Washington alone, it ranks 237 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Wilkeson
Wilkeson's elevated wildfire rating (51st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Wilkeson
Wilkeson's 65.7% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Wilkeson's figures come from
Every one of the two percentiles behind Wilkeson's 15,522-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wilkeson's dominant indirect exposure actually means, with real examples from across the dataset.