Pleasantville, OH
Pleasantville wildfire risk explained
Pleasantville sits at the 5th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 458 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pleasantville at the 5th 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
Pleasantville rates 84.5% Minimal exposure against just 15.5% Direct and 0% Indirect — of 458 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Pleasantville compares
Pleasantville's 24th-percentile standing inside Ohio outpaces its 5th 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, Pleasantville ranks 30,053 for wildfire risk (1 is highest) and 18,109 by building count (1 is largest). Within Ohio alone, it ranks 967 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Pleasantville and the insurance market
At the 5th national percentile, Pleasantville rates low 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
With 84.5% of buildings rated Minimal exposure, Pleasantville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Pleasantville's figures come from
The methodology guide shows exactly how USFS turned 458 counted buildings into the percentiles shown above for Pleasantville. The exposure-zones guide covers what Pleasantville's dominant minimal exposure actually means, with real examples from across the dataset.