WildfireRiskFinder

Kipton, OH

How exposed is Kipton to wildfire?

Low
7thpercentile nationally

Kipton's 198 buildings earn a 7th-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 Kipton at the 7th 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

198Total buildings
41.4%Direct exposure
58.6%Indirect exposure
0%Minimal exposure

USFS puts 58.6% of Kipton's 198 buildings in the Indirect exposure zone, versus 41.4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Kipton against the rest of the country

Within Ohio, Kipton ranks higher (28th percentile) than it does nationally (7th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Kipton ranks 29,321 for wildfire risk (1 is highest) and 24,934 by building count (1 is largest). Within Ohio alone, it ranks 914 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

Kipton's low wildfire rating (7th 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

With ember exposure the dominant pattern in Kipton (58.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Kipton's figures come from

The methodology guide shows exactly how USFS turned 198 counted buildings into the percentiles shown above for Kipton. The exposure-zones guide covers what Kipton's dominant indirect exposure actually means, with real examples from across the dataset.