Teviston, CA
Teviston, CA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Teviston at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 580 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Teviston's burn probability — fire likelihood with no building count factored in — sits at the 78th percentile nationally.
Where Teviston's buildings actually sit
Direct exposure dominates in Teviston: 91.7% of its 580 buildings, versus 0.9% Indirect and 7.4% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Teviston compares
Inside California, Teviston sits at just the 37th percentile even though it scores 78th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Teviston ranks 7,021 for wildfire risk (1 is highest) and 16,103 by building count (1 is largest). Within California alone, it ranks 991 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Teviston
Because Teviston 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.
What would actually reduce this score
Teviston's 91.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Teviston's figures come from
The methodology guide shows exactly how USFS turned 580 counted buildings into the percentiles shown above for Teviston. The exposure-zones guide covers what Teviston's dominant direct exposure actually means, with real examples from across the dataset.