Centerville, WA
How exposed is Centerville to wildfire?
Out of every US place USFS scores, Centerville lands at the 77th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 140 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 Centerville at the 77th percentile, close to its 77th-percentile risk score.
Where Centerville's buildings actually sit
56.4% of Centerville's 140 buildings sit in USFS's Minimal exposure zone, with only 43.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Centerville compares
Centerville scores 77th nationally and 73rd 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, Centerville ranks 7,170 for wildfire risk (1 is highest) and 27,312 by building count (1 is largest). Within Washington alone, it ranks 168 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Centerville
At the 77th percentile nationally, Centerville 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.
What would actually reduce this score
Centerville's 56.4% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Centerville's figures come from
Every one of the two percentiles behind Centerville's 7,170-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Centerville's dominant minimal exposure actually means, with real examples from across the dataset.