Cherryvale, KS
Cherryvale wildfire risk explained
Cherryvale sits at the 58th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,436 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 Cherryvale at the 58th percentile, close to its 58th-percentile risk score.
What "at risk" means for the buildings here
Only 29.7% of Cherryvale's 1,436 buildings carry Direct exposure and 4.4% carry Indirect; the remaining 66% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Cherryvale ranks
Cherryvale's risk sits at a similar level relative to Kansas (48th percentile statewide) as it does nationally (58th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cherryvale ranks 13,360 for wildfire risk (1 is highest) and 9,450 by building count (1 is largest). Within Kansas alone, it ranks 378 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Cherryvale
At the 58th national percentile, Cherryvale rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Cherryvale
With 66% of buildings rated Minimal exposure, Cherryvale gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Cherryvale's figures come from
Every one of the two percentiles behind Cherryvale's 13,360-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cherryvale's dominant minimal exposure actually means, with real examples from across the dataset.