Snelling, CA
How exposed is Snelling to wildfire?
Out of every US place USFS scores, Snelling lands at the 91st percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 177 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Snelling's burn probability — fire likelihood with no building count factored in — sits at the 93rd percentile nationally.
What "at risk" means for the buildings here
177 buildings are counted in Snelling, and 83.1% of them are Indirect exposure — ember-driven risk rather than the 17% in Direct exposure or the 0% rated Minimal.
Snelling against the rest of the country
Snelling ranks lower within California (63rd percentile statewide) than its 91st national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Snelling ranks 2,860 for wildfire risk (1 is highest) and 25,739 by building count (1 is largest). Within California alone, it ranks 576 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Snelling
Snelling sits in California, one of two states that legally require a wildfire-risk disclosure at sale. California's FAIR Plan, the state's insurer of last resort, ended 2025 with 668,609 residential policies after adding 21,859 in Q4 alone — the kind of market shift a 91st-percentile score like Snelling's can end up mattering for. More on the disclosure law.
Hardening a home in Snelling
Because 83.1% of Snelling's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Snelling's figures come from
Snelling's 91st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Snelling's dominant indirect exposure actually means, with real examples from across the dataset.