Beverly Hills, MI
How exposed is Beverly Hills to wildfire?
Beverly Hills sits at the 7th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 4,386 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Beverly Hills's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
What "at risk" means for the buildings here
Only 27% of Beverly Hills's 4,386 buildings carry Direct exposure and 0% carry Indirect; the remaining 73% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Beverly Hills against the rest of the country
Beverly Hills scores 7th nationally and 19th within Michigan — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Beverly Hills ranks 29,379 for wildfire risk (1 is highest) and 3,889 by building count (1 is largest). Within Michigan alone, it ranks 600 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Beverly Hills
Beverly Hills's low wildfire rating (7th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Beverly Hills
Beverly Hills's 73% 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 Beverly Hills's figures come from
Beverly Hills's 7th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Beverly Hills's dominant minimal exposure actually means, with real examples from across the dataset.