Baring, WA
How exposed is Baring to wildfire?
Baring sits at the 71st percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 186 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Baring at the 68th percentile, close to its 71st-percentile risk score.
Where Baring's buildings actually sit
USFS classifies 83.3% of Baring's buildings as Direct exposure, higher than its 16.7% Indirect share and far above its 0% Minimal share — a profile where 155 structures sit close enough to vegetation that lot clearing matters most.
Baring against the rest of the country
Baring scores 71st nationally and 72nd 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, Baring ranks 9,157 for wildfire risk (1 is highest) and 25,404 by building count (1 is largest). Within Washington alone, it ranks 179 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Baring
At the 71st percentile nationally, Baring 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
Because Direct exposure dominates in Baring (83.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Baring's figures come from
Every one of the two percentiles behind Baring's 9,157-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Baring's dominant direct exposure actually means, with real examples from across the dataset.