Woods Creek, WA
Woods Creek, WA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Woods Creek at the 27th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 3,329 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Woods Creek at the 26th percentile, close to its 27th-percentile risk score.
Woods Creek's building exposure, zone by zone
3,329 buildings are counted in Woods Creek, and 85% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Woods Creek compares
Compare Woods Creek's two percentiles: 44th within Washington, only 27th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Woods Creek ranks 23,179 for wildfire risk (1 is highest) and 5,006 by building count (1 is largest). Within Washington alone, it ranks 355 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
Woods Creek's moderate wildfire rating (27th 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.
Lowering exposure, not just insuring around it
With 85% of Woods Creek 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 Woods Creek's figures come from
Woods Creek's 27th-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 Woods Creek's dominant direct exposure actually means, with real examples from across the dataset.