Olpe, KS
Olpe, KS's wildfire risk, in USFS's own numbers
Olpe sits at the 92nd 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 338 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Olpe at the 89th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Olpe's building exposure, zone by zone
USFS classifies 66.6% of Olpe's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 33.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Olpe ranks
Olpe's risk sits at a similar level relative to Kansas (92nd percentile statewide) as it does nationally (92nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Olpe ranks 2,647 for wildfire risk (1 is highest) and 20,627 by building count (1 is largest). Within Kansas alone, it ranks 57 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Olpe
Olpe'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.
Lowering exposure, not just insuring around it
Even with 66.6% of Olpe outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Olpe's figures come from
Every one of the two percentiles behind Olpe's 2,647-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Olpe's dominant minimal exposure actually means, with real examples from across the dataset.