Wilsonia, CA
Wilsonia, CA's wildfire risk, in USFS's own numbers
USFS scores Wilsonia at the 99th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 30 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wilsonia's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
Wilsonia's building exposure, zone by zone
Of Wilsonia's 30 counted buildings, 70% 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.
How Wilsonia compares
There's little gap between Wilsonia's 99th national percentile and its 91st percentile inside California, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Wilsonia ranks 253 for wildfire risk (1 is highest) and 31,358 by building count (1 is largest). Within California alone, it ranks 144 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Wilsonia
Because Wilsonia 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
Wilsonia's 70% 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 Wilsonia's figures come from
The methodology guide shows exactly how USFS turned 30 counted buildings into the percentiles shown above for Wilsonia. The exposure-zones guide covers what Wilsonia's dominant direct exposure actually means, with real examples from across the dataset.