WildfireRiskFinder

Easton, WA

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

Very High
100thpercentile nationally

USFS scores Easton at the 100th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 550 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Easton at the 99th percentile, close to its 100th-percentile risk score.

Easton's building exposure, zone by zone

550Total buildings
65.8%Direct exposure
34.2%Indirect exposure
0%Minimal exposure

65.8% of Easton's 550 buildings sit in USFS's Direct exposure zone, roughly 362 structures close enough to burnable vegetation for flame contact, not just embers — 34.2% fall in the Indirect, ember-only zone and 0% are Minimal.

Where Easton ranks

Easton's risk sits at a similar level relative to Washington (99th percentile statewide) as it does nationally (100th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Easton ranks 141 for wildfire risk (1 is highest) and 16,574 by building count (1 is largest). Within Washington alone, it ranks 7 of 628 places by risk. See the full county-by-county picture for Washington on its state page.

Easton and the insurance market

Easton's very high rating (100th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Easton

Because Direct exposure dominates in Easton (65.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Easton's figures come from

The methodology guide shows exactly how USFS turned 550 counted buildings into the percentiles shown above for Easton. The exposure-zones guide covers what Easton's dominant direct exposure actually means, with real examples from across the dataset.