WildfireRiskFinder

Osgood, OH

Osgood, OH's wildfire risk, in USFS's own numbers

Low
0thpercentile nationally

USFS scores Osgood at the 0th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 203 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Osgood at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Osgood's building exposure, zone by zone

203Total buildings
20.2%Direct exposure
0%Indirect exposure
79.8%Minimal exposure

USFS classifies 79.8% of Osgood's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 20.2% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Osgood ranks

Osgood scores 0th nationally and 2nd 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, Osgood ranks 31,439 for wildfire risk (1 is highest) and 24,743 by building count (1 is largest). Within Ohio alone, it ranks 1,243 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Osgood and the insurance market

Osgood's low wildfire rating (0th 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.

Lowering exposure, not just insuring around it

Osgood's 79.8% 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 Osgood's figures come from

The methodology guide shows exactly how USFS turned 203 counted buildings into the percentiles shown above for Osgood. The exposure-zones guide covers what Osgood's dominant minimal exposure actually means, with real examples from across the dataset.