Kilbourne, LA
Kilbourne, LA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Kilbourne at the 48th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 286 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Kilbourne at the 48th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Kilbourne's 286 counted buildings, 61.2% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Kilbourne compares
Kilbourne scores 48th nationally and 52nd within Louisiana — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Kilbourne ranks 16,511 for wildfire risk (1 is highest) and 22,007 by building count (1 is largest). Within Louisiana alone, it ranks 236 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Kilbourne
Kilbourne's elevated wildfire rating (48th 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 Kilbourne
Kilbourne's 61.2% 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 Kilbourne's figures come from
Every one of the two percentiles behind Kilbourne's 16,511-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kilbourne's dominant direct exposure actually means, with real examples from across the dataset.