Hanoverton, OH
Hanoverton, OH's wildfire risk, in USFS's own numbers
Hanoverton sits at the 34th 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 313 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hanoverton's burn probability — fire likelihood with no building count factored in — sits at the 33rd percentile nationally.
Hanoverton's building exposure, zone by zone
USFS classifies 57.5% of Hanoverton's buildings as Direct exposure, higher than its 42.5% Indirect share and far above its 0% Minimal share — a profile where 180 structures sit close enough to vegetation that lot clearing matters most.
How Hanoverton compares
Within Ohio, Hanoverton ranks higher (73rd percentile) than it does nationally (34th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Hanoverton ranks 20,932 for wildfire risk (1 is highest) and 21,294 by building count (1 is largest). Within Ohio alone, it ranks 338 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Hanoverton
Hanoverton'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 Direct exposure dominates in Hanoverton (57.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Hanoverton's figures come from
Hanoverton's 34th-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 Hanoverton's dominant direct exposure actually means, with real examples from across the dataset.