Fultonham, OH
Fultonham, OH's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Fultonham lands at the 39th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 103 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fultonham at the 42nd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Fultonham's buildings actually sit
USFS classifies 72.8% of Fultonham's buildings as Direct exposure, higher than its 27.2% Indirect share and far above its 0% Minimal share — a profile where 75 structures sit close enough to vegetation that lot clearing matters most.
Fultonham against the rest of the country
Within Ohio, Fultonham ranks higher (86th percentile) than it does nationally (39th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Fultonham ranks 19,141 for wildfire risk (1 is highest) and 28,916 by building count (1 is largest). Within Ohio alone, it ranks 181 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Fultonham and the insurance market
At the 39th national percentile, Fultonham rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Fultonham's 72.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Fultonham's figures come from
The methodology guide shows exactly how USFS turned 103 counted buildings into the percentiles shown above for Fultonham. The exposure-zones guide covers what Fultonham's dominant direct exposure actually means, with real examples from across the dataset.