Dresden, OH
Dresden wildfire risk explained
USFS scores Dresden 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 1,000 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dresden at the 35th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Dresden's buildings actually sit
Most of Dresden's buildings (85.6%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Dresden against the rest of the country
Dresden's 74th-percentile standing inside Ohio outpaces its 34th 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, Dresden ranks 20,775 for wildfire risk (1 is highest) and 11,936 by building count (1 is largest). Within Ohio alone, it ranks 322 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
Dresden'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.
What would actually reduce this score
Because 85.6% of Dresden'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 Dresden's figures come from
The methodology guide shows exactly how USFS turned 1,000 counted buildings into the percentiles shown above for Dresden. The exposure-zones guide covers what Dresden's dominant indirect exposure actually means, with real examples from across the dataset.