WildfireRiskFinder

Leon, KS

Leon wildfire risk explained

Very High
92ndpercentile nationally

USFS's Wildfire Risk to Communities model puts Leon at the 92nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 483 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Leon at the 88th percentile, close to its 92nd-percentile risk score.

Leon's building exposure, zone by zone

483Total buildings
34.4%Direct exposure
65.6%Indirect exposure
0%Minimal exposure

65.6% of Leon's 483 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 34.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

How Leon compares

Leon scores 92nd nationally and 92nd within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Leon ranks 2,646 for wildfire risk (1 is highest) and 17,647 by building count (1 is largest). Within Kansas alone, it ranks 56 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Leon and the insurance market

Leon's very high rating (92nd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because 65.6% of Leon's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Leon's figures come from

Leon's 92nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Leon's dominant indirect exposure actually means, with real examples from across the dataset.