Del Rio, CA
Del Rio, CA's wildfire risk, in USFS's own numbers
USFS scores Del Rio at the 87th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 639 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Del Rio's burn probability — fire likelihood with no building count factored in — sits at the 88th percentile nationally.
What "at risk" means for the buildings here
74.3% of Del Rio's 639 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 25.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Del Rio ranks
Del Rio ranks lower within California (55th percentile statewide) than its 87th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Del Rio ranks 3,992 for wildfire risk (1 is highest) and 15,338 by building count (1 is largest). Within California alone, it ranks 700 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Del Rio and the insurance market
Because Del Rio 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 Del Rio
Del Rio's 74.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Del Rio's figures come from
Del Rio's 87th-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 Del Rio's dominant indirect exposure actually means, with real examples from across the dataset.