Cassoday, KS
Cassoday wildfire risk explained
USFS's Wildfire Risk to Communities model puts Cassoday at the 93rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 124 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cassoday at the 90th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Cassoday's buildings actually sit
USFS puts 53.2% of Cassoday's 124 buildings in the Indirect exposure zone, versus 46.8% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Cassoday against the rest of the country
Cassoday's risk sits at a similar level relative to Kansas (94th percentile statewide) as it does nationally (93rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cassoday ranks 2,168 for wildfire risk (1 is highest) and 27,984 by building count (1 is largest). Within Kansas alone, it ranks 46 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
Cassoday's 93rd-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
Because 53.2% of Cassoday'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 Cassoday's figures come from
The methodology guide shows exactly how USFS turned 124 counted buildings into the percentiles shown above for Cassoday. The exposure-zones guide covers what Cassoday's dominant indirect exposure actually means, with real examples from across the dataset.