Dover, OH
Dover, OH's wildfire risk, in USFS's own numbers
USFS scores Dover at the 34th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 6,666 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dover at the 35th percentile, close to its 34th-percentile risk score.
Where Dover's buildings actually sit
USFS puts 80.8% of Dover's 6,666 buildings in the Indirect exposure zone, versus 7.7% Direct and 11.6% Minimal — a place where the fire doesn't need to reach the structure directly for embers to. At 6,666 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Dover compares
Compare Dover's two percentiles: 73rd within Ohio, only 34th nationally — a gap of 40 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Dover ranks 20,904 for wildfire risk (1 is highest) and 2,599 by building count (1 is largest). Within Ohio alone, it ranks 336 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Dover
Dover's moderate wildfire rating (34th 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
With ember exposure the dominant pattern in Dover (80.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Dover's figures come from
The methodology guide shows exactly how USFS turned 6,666 counted buildings into the percentiles shown above for Dover. The exposure-zones guide covers what Dover's dominant indirect exposure actually means, with real examples from across the dataset.