Cankton, LA
How exposed is Cankton to wildfire?
Cankton sits at the 57th 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 392 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 Cankton at the 61st percentile, close to its 57th-percentile risk score.
Cankton's building exposure, zone by zone
392 buildings are counted in Cankton, and 78.6% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Cankton against the rest of the country
Cankton's risk sits at a similar level relative to Louisiana (70th 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, Cankton ranks 13,518 for wildfire risk (1 is highest) and 19,365 by building count (1 is largest). Within Louisiana alone, it ranks 146 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Cankton
Cankton'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.
Lowering exposure, not just insuring around it
Cankton's 78.6% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Cankton's figures come from
Cankton'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 Cankton's dominant direct exposure actually means, with real examples from across the dataset.