Tuscarawas, OH
How exposed is Tuscarawas to wildfire?
Out of every US place USFS scores, Tuscarawas lands at the 36th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 661 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tuscarawas at the 36th national percentile — 0 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
Most of Tuscarawas's buildings (70.4%) 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.
Tuscarawas against the rest of the country
Within Ohio, Tuscarawas 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, Tuscarawas ranks 20,211 for wildfire risk (1 is highest) and 15,050 by building count (1 is largest). Within Ohio alone, it ranks 267 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
Tuscarawas's moderate rating (36th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Tuscarawas
With ember exposure the dominant pattern in Tuscarawas (70.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Tuscarawas's figures come from
Tuscarawas'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 Tuscarawas's dominant indirect exposure actually means, with real examples from across the dataset.