Offerle, KS
How exposed is Offerle to wildfire?
Offerle sits at the 40th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 188 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Offerle's burn probability — fire likelihood with no building count factored in — sits at the 36th percentile nationally.
Offerle's building exposure, zone by zone
Most of Offerle's buildings (46.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Offerle against the rest of the country
Offerle's 40th national percentile looks worse in isolation than its 16th 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, Offerle ranks 19,003 for wildfire risk (1 is highest) and 25,317 by building count (1 is largest). Within Kansas alone, it ranks 606 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Offerle
At the 40th national percentile, Offerle rates moderate 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 Offerle
Offerle's 46.3% 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 Offerle's figures come from
Every one of the two percentiles behind Offerle's 19,003-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Offerle's dominant indirect exposure actually means, with real examples from across the dataset.