Basile, LA
How exposed is Basile to wildfire?
Basile sits at the 51st 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 844 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 Basile at the 53rd percentile, close to its 51st-percentile risk score.
Basile's building exposure, zone by zone
Most of Basile's buildings (90.2%) 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.
Basile against the rest of the country
Basile scores 51st nationally and 60th 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, Basile ranks 15,347 for wildfire risk (1 is highest) and 13,209 by building count (1 is largest). Within Louisiana alone, it ranks 195 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
What this risk score means for insurance
Basile's elevated rating (51st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because 90.2% of Basile's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Basile's figures come from
Every one of the two percentiles behind Basile's 15,347-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Basile's dominant indirect exposure actually means, with real examples from across the dataset.