Frontenac, KS
How exposed is Frontenac to wildfire?
USFS's Wildfire Risk to Communities model puts Frontenac at the 57th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,151 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Frontenac's burn probability — fire likelihood with no building count factored in — sits at the 58th percentile nationally.
Where Frontenac's buildings actually sit
60.7% of Frontenac's 2,151 buildings sit in USFS's Minimal exposure zone, with only 39.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Frontenac compares
Frontenac's risk sits at a similar level relative to Kansas (46th percentile statewide) as it does nationally (57th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Frontenac ranks 13,516 for wildfire risk (1 is highest) and 7,069 by building count (1 is largest). Within Kansas alone, it ranks 386 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Frontenac and the insurance market
Frontenac's elevated wildfire rating (57th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Frontenac
Even with 60.7% of Frontenac 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 Frontenac's figures come from
Frontenac's 57th-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 Frontenac's dominant minimal exposure actually means, with real examples from across the dataset.