Skokomish, WA
How exposed is Skokomish to wildfire?
Skokomish sits at the 40th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 286 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Skokomish at the 40th percentile, close to its 40th-percentile risk score.
Where Skokomish's buildings actually sit
Of Skokomish's 286 counted buildings, 82.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Skokomish compares
Skokomish's 57th-percentile standing inside Washington outpaces its 40th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Skokomish ranks 18,894 for wildfire risk (1 is highest) and 22,025 by building count (1 is largest). Within Washington alone, it ranks 271 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
What this risk score means for insurance
At the 40th national percentile, Skokomish rates elevated 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 Skokomish
Because Direct exposure dominates in Skokomish (82.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Skokomish's figures come from
Every one of the two percentiles behind Skokomish's 18,894-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Skokomish's dominant direct exposure actually means, with real examples from across the dataset.