WildfireRiskFinder

Oceola, OH

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

Low
3rdpercentile nationally

Oceola's 121 buildings earn a 3rd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Oceola at the 3rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Where Oceola's buildings actually sit

121Total buildings
21.5%Direct exposure
0%Indirect exposure
78.5%Minimal exposure

Oceola rates 78.5% Minimal exposure against just 21.5% Direct and 0% Indirect — of 121 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Oceola against the rest of the country

Oceola scores 3rd nationally and 17th 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, Oceola ranks 30,649 for wildfire risk (1 is highest) and 28,121 by building count (1 is largest). Within Ohio alone, it ranks 1,050 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Shopping for coverage in Oceola

Oceola's low wildfire rating (3rd 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

Even with 78.5% of Oceola outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Oceola's figures come from

Every one of the two percentiles behind Oceola's 30,649-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Oceola's dominant minimal exposure actually means, with real examples from across the dataset.