Kerman, CA
How exposed is Kerman to wildfire?
Kerman's 4,162 buildings earn a 75th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kerman's burn probability — fire likelihood with no building count factored in — sits at the 74th percentile nationally.
Where Kerman's buildings actually sit
96.5% of Kerman's 4,162 buildings sit in USFS's Minimal exposure zone, with only 3.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Kerman against the rest of the country
Kerman ranks lower within California (33rd percentile statewide) than its 75th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Kerman ranks 7,841 for wildfire risk (1 is highest) and 4,088 by building count (1 is largest). Within California alone, it ranks 1,052 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Kerman
Kerman's 75th-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.
Hardening a home in Kerman
Even with 96.5% of Kerman outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Kerman's figures come from
The methodology guide shows exactly how USFS turned 4,162 counted buildings into the percentiles shown above for Kerman. The exposure-zones guide covers what Kerman's dominant minimal exposure actually means, with real examples from across the dataset.