Harrington, WA
Harrington wildfire risk explained
Harrington's 398 buildings earn a 90th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Harrington's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
Where Harrington's buildings actually sit
398 buildings are counted in Harrington, and 94.2% of them are Indirect exposure — ember-driven risk rather than the 5.8% in Direct exposure or the 0% rated Minimal.
How Harrington compares
Harrington scores 90th nationally and 80th within Washington — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Harrington ranks 3,229 for wildfire risk (1 is highest) and 19,257 by building count (1 is largest). Within Washington alone, it ranks 125 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
Harrington's 90th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Harrington's 94.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Harrington's figures come from
Every one of the two percentiles behind Harrington's 3,229-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Harrington's dominant indirect exposure actually means, with real examples from across the dataset.