March ARB, CA
March ARB wildfire risk explained
March ARB's 1,122 buildings earn a 82nd-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks March ARB at the 85th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
March ARB's building exposure, zone by zone
57.8% of March ARB's 1,122 buildings sit in USFS's Minimal exposure zone, with only 39.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where March ARB ranks
March ARB's 82nd national percentile looks worse in isolation than its 44th ranking inside California does — this place is on the milder end for its own state, by 38 points. Among the 31,521 US communities USFS scores, March ARB ranks 5,537 for wildfire risk (1 is highest) and 11,135 by building count (1 is largest). Within California alone, it ranks 878 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
March ARB and the insurance market
March ARB sits in California, one of two states that legally require a wildfire-risk disclosure at sale. California's FAIR Plan, the state's insurer of last resort, ended 2025 with 668,609 residential policies after adding 21,859 in Q4 alone — the kind of market shift a 82nd-percentile score like March ARB's can end up mattering for. More on the disclosure law.
Lowering exposure, not just insuring around it
March ARB's 57.8% 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 March ARB's figures come from
The methodology guide shows exactly how USFS turned 1,122 counted buildings into the percentiles shown above for March ARB. The exposure-zones guide covers what March ARB's dominant minimal exposure actually means, with real examples from across the dataset.