Garnet, CA
Garnet, CA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Garnet lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 2,520 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Garnet at the 62nd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Garnet's building exposure, zone by zone
USFS classifies 83.7% of Garnet's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 16.1% Direct and 0.2% Indirect — a landscape-level risk rather than a building-by-building one.
How Garnet compares
Garnet's 63rd national percentile looks worse in isolation than its 21st ranking inside California does — this place is on the milder end for its own state, by 42 points. Among the 31,521 US communities USFS scores, Garnet ranks 11,714 for wildfire risk (1 is highest) and 6,264 by building count (1 is largest). Within California alone, it ranks 1,243 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Garnet
Because Garnet 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.
Hardening a home in Garnet
With 83.7% of buildings rated Minimal exposure, Garnet gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Garnet's figures come from
The methodology guide shows exactly how USFS turned 2,520 counted buildings into the percentiles shown above for Garnet. The exposure-zones guide covers what Garnet's dominant minimal exposure actually means, with real examples from across the dataset.