Byron Center, MI
How exposed is Byron Center to wildfire?
USFS scores Byron Center at the 13th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 2,491 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Byron Center's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
Byron Center's building exposure, zone by zone
77.9% of Byron Center's 2,491 buildings sit in USFS's Minimal exposure zone, with only 22.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Byron Center against the rest of the country
Within Michigan, Byron Center ranks higher (45th percentile) than it does nationally (13th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Byron Center ranks 27,454 for wildfire risk (1 is highest) and 6,312 by building count (1 is largest). Within Michigan alone, it ranks 413 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Byron Center and the insurance market
Byron Center's low wildfire rating (13th 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 Byron Center
Even with 77.9% of Byron Center outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Byron Center's figures come from
The methodology guide shows exactly how USFS turned 2,491 counted buildings into the percentiles shown above for Byron Center. The exposure-zones guide covers what Byron Center's dominant minimal exposure actually means, with real examples from across the dataset.