Ravenna, MI
Ravenna wildfire risk explained
Out of every US place USFS scores, Ravenna lands at the 19th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 663 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ravenna at the 19th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Ravenna's building exposure, zone by zone
Indirect exposure is dominant in Ravenna (56.9% of 663 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 40% sit in the Direct zone.
Where Ravenna ranks
Ravenna's 65th-percentile standing inside Michigan outpaces its 19th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Ravenna ranks 25,438 for wildfire risk (1 is highest) and 15,029 by building count (1 is largest). Within Michigan alone, it ranks 265 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Ravenna and the insurance market
At the 19th national percentile, Ravenna rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Ravenna's 56.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Ravenna's figures come from
Every one of the two percentiles behind Ravenna's 25,438-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ravenna's dominant indirect exposure actually means, with real examples from across the dataset.