Concow, CA
How exposed is Concow to wildfire?
Concow sits at the 88th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 461 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Concow's burn probability — fire likelihood with no building count factored in — sits at the 87th percentile nationally.
Where Concow's buildings actually sit
Of Concow's 461 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.
Where Concow ranks
Concow ranks lower within California (57th percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Concow ranks 3,770 for wildfire risk (1 is highest) and 18,040 by building count (1 is largest). Within California alone, it ranks 679 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Concow
Concow's 88th-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 Concow (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Concow's figures come from
Every one of the two percentiles behind Concow's 3,770-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Concow's dominant direct exposure actually means, with real examples from across the dataset.