Addy, WA
How exposed is Addy to wildfire?
Out of every US place USFS scores, Addy lands at the 91st percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 157 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Addy at the 89th percentile, close to its 91st-percentile risk score.
What "at risk" means for the buildings here
Most of Addy's buildings (91.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Addy ranks
There's little gap between Addy's 91st national percentile and its 82nd percentile inside Washington, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Addy ranks 2,756 for wildfire risk (1 is highest) and 26,592 by building count (1 is largest). Within Washington alone, it ranks 117 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Addy and the insurance market
At the 91st percentile nationally, Addy carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Addy
Because 91.1% of Addy's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Addy's figures come from
The methodology guide shows exactly how USFS turned 157 counted buildings into the percentiles shown above for Addy. The exposure-zones guide covers what Addy's dominant indirect exposure actually means, with real examples from across the dataset.