Shingletown, CA
How exposed is Shingletown to wildfire?
USFS's Wildfire Risk to Communities model puts Shingletown at the 99th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,370 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shingletown at the 98th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Shingletown's 1,370 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Shingletown compares
Shingletown scores 99th nationally and 86th within California — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Shingletown ranks 475 for wildfire risk (1 is highest) and 9,746 by building count (1 is largest). Within California alone, it ranks 221 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shingletown and the insurance market
Shingletown's 99th-percentile score lands in California, the only two states requiring a wildfire disclosure at sale. California's surplus-lines homeowners market passed 300,000 policies for the first time in 2025, driven by carriers pulling back from wildfire-exposed areas statewide. The disclosure-law guide covers what it requires.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Shingletown (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Shingletown's figures come from
The methodology guide shows exactly how USFS turned 1,370 counted buildings into the percentiles shown above for Shingletown. The exposure-zones guide covers what Shingletown's dominant direct exposure actually means, with real examples from across the dataset.