Sheridan, CA
Sheridan, CA's wildfire risk, in USFS's own numbers
USFS scores Sheridan at the 91st national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,055 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Sheridan's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Sheridan: 86% of its 1,055 buildings, versus 14% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Sheridan ranks
Sheridan ranks lower within California (64th 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, Sheridan ranks 2,859 for wildfire risk (1 is highest) and 11,566 by building count (1 is largest). Within California alone, it ranks 575 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
What this risk score means for insurance
Because Sheridan is in California, a wildfire-hazard disclosure is legally required before a sale closes here — unusual nationally, since only these two states mandate it. The state's FAIR Plan alone carried 668,609 policies by the end of 2025. Full detail in the disclosure-law guide.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Sheridan (86%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Sheridan's figures come from
Sheridan'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 Sheridan's dominant direct exposure actually means, with real examples from across the dataset.