Sedan, KS
How exposed is Sedan to wildfire?
Sedan sits at the 94th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 866 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Sedan at the 95th percentile, close to its 94th-percentile risk score.
Where Sedan's buildings actually sit
USFS puts 75.1% of Sedan's 866 buildings in the Indirect exposure zone, versus 24.9% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Sedan compares
Sedan's risk sits at a similar level relative to Kansas (95th percentile statewide) as it does nationally (94th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Sedan ranks 2,047 for wildfire risk (1 is highest) and 13,021 by building count (1 is largest). Within Kansas alone, it ranks 41 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
What this risk score means for insurance
Sedan's 94th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Sedan's 75.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Sedan's figures come from
Sedan's 94th-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 Sedan's dominant indirect exposure actually means, with real examples from across the dataset.