Caspar, CA
Caspar wildfire risk explained
Caspar's 464 buildings earn a 66th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Caspar's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
Caspar's building exposure, zone by zone
Direct exposure dominates in Caspar: 96.6% of its 464 buildings, versus 1.7% Indirect and 1.7% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Caspar against the rest of the country
Caspar ranks lower within California (24th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Caspar ranks 10,861 for wildfire risk (1 is highest) and 17,987 by building count (1 is largest). Within California alone, it ranks 1,201 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Caspar and the insurance market
Because Caspar 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.
What would actually reduce this score
With 96.6% of Caspar in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Caspar's figures come from
Every one of the two percentiles behind Caspar's 10,861-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Caspar's dominant direct exposure actually means, with real examples from across the dataset.