Endicott, WA
Endicott, WA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Endicott lands at the 64th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 262 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Endicott's burn probability — fire likelihood with no building count factored in — sits at the 65th percentile nationally.
What "at risk" means for the buildings here
USFS puts 94.3% of Endicott's 262 buildings in the Indirect exposure zone, versus 5.7% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Endicott compares
Endicott scores 64th nationally and 69th 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, Endicott ranks 11,299 for wildfire risk (1 is highest) and 22,794 by building count (1 is largest). Within Washington alone, it ranks 194 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
At the 64th percentile nationally, Endicott carries the 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 Endicott
Endicott's 94.3% 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 Endicott's figures come from
Every one of the two percentiles behind Endicott's 11,299-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Endicott's dominant indirect exposure actually means, with real examples from across the dataset.