Parlier, CA
Parlier, CA's wildfire risk, in USFS's own numbers
USFS scores Parlier at the 83rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 3,227 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Parlier at the 84th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Parlier's building exposure, zone by zone
Most of Parlier's buildings (90.5% of 3,227) 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.
How Parlier compares
Inside California, Parlier sits at just the 44th percentile even though it scores 83rd 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, Parlier ranks 5,509 for wildfire risk (1 is highest) and 5,131 by building count (1 is largest). Within California alone, it ranks 876 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Parlier and the insurance market
Because Parlier 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 Parlier
Parlier's 90.5% 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 Parlier's figures come from
Every one of the two percentiles behind Parlier's 5,509-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Parlier's dominant minimal exposure actually means, with real examples from across the dataset.