Seabeck, WA
How exposed is Seabeck to wildfire?
Seabeck's 836 buildings earn a 31st-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Seabeck at the 31st national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Seabeck's building exposure, zone by zone
76.4% of Seabeck's 836 buildings sit in USFS's Direct exposure zone, roughly 639 structures close enough to burnable vegetation for flame contact, not just embers — 12.3% fall in the Indirect, ember-only zone and 11.2% are Minimal.
Seabeck against the rest of the country
Seabeck's 50th-percentile standing inside Washington outpaces its 31st 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, Seabeck ranks 21,731 for wildfire risk (1 is highest) and 13,296 by building count (1 is largest). Within Washington alone, it ranks 312 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
Seabeck's moderate wildfire rating (31st 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 Seabeck
With 76.4% of Seabeck in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Seabeck's figures come from
Seabeck's 31st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Seabeck's dominant direct exposure actually means, with real examples from across the dataset.