WildfireRiskFinder

Rantoul, KS

Rantoul wildfire risk explained

Elevated
58thpercentile nationally

USFS scores Rantoul at the 58th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 119 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Rantoul's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.

What "at risk" means for the buildings here

119Total buildings
37.8%Direct exposure
62.2%Indirect exposure
0%Minimal exposure

62.2% of Rantoul's 119 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 37.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Where Rantoul ranks

There's little gap between Rantoul's 58th national percentile and its 49th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Rantoul ranks 13,207 for wildfire risk (1 is highest) and 28,195 by building count (1 is largest). Within Kansas alone, it ranks 371 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Rantoul and the insurance market

Rantoul's elevated rating (58th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With ember exposure the dominant pattern in Rantoul (62.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Rantoul's figures come from

Every one of the two percentiles behind Rantoul's 13,207-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rantoul's dominant indirect exposure actually means, with real examples from across the dataset.