Hood, CA
Hood, CA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Hood at the 81st national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 142 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hood at the 79th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Hood's buildings actually sit
USFS classifies 58.5% of Hood's buildings as Direct exposure, higher than its 41.6% Indirect share and far above its 0% Minimal share — a profile where 83 structures sit close enough to vegetation that lot clearing matters most.
Where Hood ranks
Inside California, Hood sits at just the 42nd percentile even though it scores 81st 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, Hood ranks 6,106 for wildfire risk (1 is highest) and 27,191 by building count (1 is largest). Within California alone, it ranks 920 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Hood
Because Hood 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 Hood
Hood's 58.5% 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 Hood's figures come from
Hood's 81st-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 Hood's dominant direct exposure actually means, with real examples from across the dataset.