North Sultan, WA
How exposed is North Sultan to wildfire?
USFS's Wildfire Risk to Communities model puts North Sultan at the 26th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 156 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks North Sultan at the 27th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
North Sultan's building exposure, zone by zone
Of North Sultan's 156 counted buildings, 78.9% 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.
Where North Sultan ranks
Compare North Sultan's two percentiles: 43rd within Washington, only 26th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, North Sultan ranks 23,341 for wildfire risk (1 is highest) and 26,640 by building count (1 is largest). Within Washington alone, it ranks 359 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
North Sultan's moderate wildfire rating (26th 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 North Sultan
North Sultan's 78.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where North Sultan's figures come from
The methodology guide shows exactly how USFS turned 156 counted buildings into the percentiles shown above for North Sultan. The exposure-zones guide covers what North Sultan's dominant direct exposure actually means, with real examples from across the dataset.