New Athens, OH
New Athens wildfire risk explained
Out of every US place USFS scores, New Athens lands at the 41st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 257 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Athens at the 43rd national percentile — 2 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
57.2% of New Athens's 257 buildings sit in USFS's Direct exposure zone, roughly 147 structures close enough to burnable vegetation for flame contact, not just embers — 42.8% fall in the Indirect, ember-only zone and 0% are Minimal.
How New Athens compares
Compare New Athens's two percentiles: 90th within Ohio, only 41st nationally — a gap of 49 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Athens ranks 18,667 for wildfire risk (1 is highest) and 22,922 by building count (1 is largest). Within Ohio alone, it ranks 134 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
New Athens's elevated rating (41st 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 New Athens
With 57.2% of New Athens in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where New Athens's figures come from
The methodology guide shows exactly how USFS turned 257 counted buildings into the percentiles shown above for New Athens. The exposure-zones guide covers what New Athens's dominant direct exposure actually means, with real examples from across the dataset.