Copalis Beach, WA
How exposed is Copalis Beach to wildfire?
Copalis Beach sits at the 14th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 559 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 Copalis Beach at the 14th percentile, close to its 14th-percentile risk score.
Where Copalis Beach's buildings actually sit
50.1% of Copalis Beach's 559 buildings sit in USFS's Direct exposure zone, roughly 280 structures close enough to burnable vegetation for flame contact, not just embers — 49.4% fall in the Indirect, ember-only zone and 0.5% are Minimal.
Copalis Beach against the rest of the country
Copalis Beach scores 14th nationally and 18th 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, Copalis Beach ranks 26,995 for wildfire risk (1 is highest) and 16,438 by building count (1 is largest). Within Washington alone, it ranks 515 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 14th national percentile, Copalis Beach rates low 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 Copalis Beach
Because Direct exposure dominates in Copalis Beach (50.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Copalis Beach's figures come from
Every one of the two percentiles behind Copalis Beach's 26,995-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Copalis Beach's dominant direct exposure actually means, with real examples from across the dataset.