Bloomingdale, MI
How exposed is Bloomingdale to wildfire?
Bloomingdale sits at the 14th 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 280 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bloomingdale at the 14th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Bloomingdale's buildings actually sit
280 buildings are counted in Bloomingdale, and 52.5% of them are Indirect exposure — ember-driven risk rather than the 47.5% in Direct exposure or the 0% rated Minimal.
Where Bloomingdale ranks
Within Michigan, Bloomingdale ranks higher (47th percentile) than it does nationally (14th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Bloomingdale ranks 27,230 for wildfire risk (1 is highest) and 22,185 by building count (1 is largest). Within Michigan alone, it ranks 392 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Bloomingdale
Bloomingdale's low wildfire rating (14th 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.
Lowering exposure, not just insuring around it
Because 52.5% of Bloomingdale's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Bloomingdale's figures come from
Bloomingdale's 14th-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 Bloomingdale's dominant indirect exposure actually means, with real examples from across the dataset.