Bairdstown, OH
Bairdstown, OH's wildfire risk, in USFS's own numbers
Bairdstown sits at the 2nd 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 85 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bairdstown at the 1st national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Bairdstown's buildings actually sit
Only 8.2% of Bairdstown's 85 buildings carry Direct exposure and 0% carry Indirect; the remaining 91.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Bairdstown compares
Bairdstown scores 2nd nationally and 10th within Ohio — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Bairdstown ranks 31,027 for wildfire risk (1 is highest) and 29,701 by building count (1 is largest). Within Ohio alone, it ranks 1,132 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Bairdstown
Bairdstown's low wildfire rating (2nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Bairdstown's 91.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Bairdstown's figures come from
Every one of the two percentiles behind Bairdstown's 31,027-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bairdstown's dominant minimal exposure actually means, with real examples from across the dataset.