Chinese Camp, CA
Chinese Camp, CA's wildfire risk, in USFS's own numbers
USFS scores Chinese Camp at the 98th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 115 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Chinese Camp at the 98th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Chinese Camp's buildings actually sit
Of Chinese Camp's 115 counted buildings, 90.4% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Chinese Camp ranks
Chinese Camp scores 98th nationally and 84th within California — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Chinese Camp ranks 624 for wildfire risk (1 is highest) and 28,398 by building count (1 is largest). Within California alone, it ranks 260 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Chinese Camp
Because Chinese Camp 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 Chinese Camp
Because Direct exposure dominates in Chinese Camp (90.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Chinese Camp's figures come from
The methodology guide shows exactly how USFS turned 115 counted buildings into the percentiles shown above for Chinese Camp. The exposure-zones guide covers what Chinese Camp's dominant direct exposure actually means, with real examples from across the dataset.