Uniontown, OH
Uniontown wildfire risk explained
Uniontown's 3,168 buildings earn a 26th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Uniontown at the 27th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Uniontown's building exposure, zone by zone
57.3% of Uniontown's 3,168 buildings sit in USFS's Minimal exposure zone, with only 42.7% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Uniontown against the rest of the country
Uniontown's 58th-percentile standing inside Ohio outpaces its 26th 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, Uniontown ranks 23,457 for wildfire risk (1 is highest) and 5,206 by building count (1 is largest). Within Ohio alone, it ranks 527 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
At the 26th national percentile, Uniontown rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Uniontown
Even with 57.3% of Uniontown outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Uniontown's figures come from
Every one of the two percentiles behind Uniontown's 23,457-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Uniontown's dominant minimal exposure actually means, with real examples from across the dataset.