Mount Hope, OH
Mount Hope, OH's wildfire risk, in USFS's own numbers
Mount Hope sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 219 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mount Hope's burn probability — fire likelihood with no building count factored in — sits at the 39th percentile nationally.
What "at risk" means for the buildings here
219 buildings are counted in Mount Hope, and 53.4% of them are Indirect exposure — ember-driven risk rather than the 46.6% in Direct exposure or the 0% rated Minimal.
Mount Hope against the rest of the country
Within Ohio, Mount Hope ranks higher (79th percentile) than it does nationally (36th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mount Hope ranks 20,182 for wildfire risk (1 is highest) and 24,167 by building count (1 is largest). Within Ohio alone, it ranks 264 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Mount Hope
Mount Hope's moderate wildfire rating (36th 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 53.4% of Mount Hope'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 Mount Hope's figures come from
Mount Hope's 36th-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 Mount Hope's dominant indirect exposure actually means, with real examples from across the dataset.