Marseilles, OH
How exposed is Marseilles to wildfire?
Marseilles 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 98 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Marseilles at the 14th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
98 buildings are counted in Marseilles, and 76.5% of them are Indirect exposure — ember-driven risk rather than the 23.5% in Direct exposure or the 0% rated Minimal.
Marseilles against the rest of the country
Marseilles's 40th-percentile standing inside Ohio outpaces its 14th 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, Marseilles ranks 27,269 for wildfire risk (1 is highest) and 29,147 by building count (1 is largest). Within Ohio alone, it ranks 756 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Marseilles
At the 14th national percentile, Marseilles rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because 76.5% of Marseilles'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 Marseilles's figures come from
Marseilles'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 Marseilles's dominant indirect exposure actually means, with real examples from across the dataset.