WildfireRiskFinder

Levant, KS

How exposed is Levant to wildfire?

Elevated
45thpercentile nationally

Levant's 119 buildings earn a 45th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Levant at the 42nd national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Levant's buildings actually sit

119Total buildings
29.4%Direct exposure
69.8%Indirect exposure
0.8%Minimal exposure

Indirect exposure is dominant in Levant (69.8% of 119 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 29.4% sit in the Direct zone.

How Levant compares

Levant's 45th national percentile looks worse in isolation than its 21st ranking inside Kansas does — this place is on the milder end for its own state, by 24 points. Among the 31,521 US communities USFS scores, Levant ranks 17,359 for wildfire risk (1 is highest) and 28,194 by building count (1 is largest). Within Kansas alone, it ranks 568 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Shopping for coverage in Levant

Levant's elevated wildfire rating (45th 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

With ember exposure the dominant pattern in Levant (69.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Levant's figures come from

The methodology guide shows exactly how USFS turned 119 counted buildings into the percentiles shown above for Levant. The exposure-zones guide covers what Levant's dominant indirect exposure actually means, with real examples from across the dataset.