WildfireRiskFinder

DuPont, WA

DuPont, WA's wildfire risk, in USFS's own numbers

Moderate
28thpercentile nationally

DuPont's 3,127 buildings earn a 28th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts DuPont at the 28th percentile, close to its 28th-percentile risk score.

DuPont's building exposure, zone by zone

3,127Total buildings
7.4%Direct exposure
92.5%Indirect exposure
0.2%Minimal exposure

3,127 buildings are counted in DuPont, and 92.5% of them are Indirect exposure — ember-driven risk rather than the 7.4% in Direct exposure or the 0.2% rated Minimal.

How DuPont compares

Compare DuPont's two percentiles: 46th within Washington, only 28th nationally — a gap of 18 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, DuPont ranks 22,702 for wildfire risk (1 is highest) and 5,257 by building count (1 is largest). Within Washington alone, it ranks 337 of 628 places by risk. See the full county-by-county picture for Washington on its state page.

DuPont and the insurance market

DuPont's moderate wildfire rating (28th 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 DuPont

With ember exposure the dominant pattern in DuPont (92.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where DuPont's figures come from

Every one of the two percentiles behind DuPont's 22,702-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what DuPont's dominant indirect exposure actually means, with real examples from across the dataset.