Taft Heights, CA
How exposed is Taft Heights to wildfire?
Taft Heights's 911 buildings earn a 60th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Taft Heights at the 61st percentile, close to its 60th-percentile risk score.
Where Taft Heights's buildings actually sit
Most of Taft Heights's buildings (99.6% of 911) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Taft Heights ranks
Taft Heights ranks lower within California (18th percentile statewide) than its 60th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Taft Heights ranks 12,663 for wildfire risk (1 is highest) and 12,627 by building count (1 is largest). Within California alone, it ranks 1,289 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Taft Heights
Because Taft Heights 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
Taft Heights's 99.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Taft Heights's figures come from
Every one of the two percentiles behind Taft Heights's 12,663-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Taft Heights's dominant minimal exposure actually means, with real examples from across the dataset.