East Liverpool, OH
East Liverpool wildfire risk explained
USFS scores East Liverpool 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 4,733 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts East Liverpool at the 34th percentile, close to its 34th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in East Liverpool (83.5% of 4,733 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 16.4% sit in the Direct zone.
How East Liverpool compares
East Liverpool'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, East Liverpool ranks 20,905 for wildfire risk (1 is highest) and 3,608 by building count (1 is largest). Within Ohio alone, it ranks 337 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in East Liverpool
At the 34th national percentile, East Liverpool 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 East Liverpool
With ember exposure the dominant pattern in East Liverpool (83.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where East Liverpool's figures come from
East Liverpool'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 East Liverpool's dominant indirect exposure actually means, with real examples from across the dataset.