Slaughter, LA
How exposed is Slaughter to wildfire?
Slaughter sits at the 63rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 697 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 Slaughter at the 65th percentile, close to its 63rd-percentile risk score.
Slaughter's building exposure, zone by zone
Direct exposure dominates in Slaughter: 89.5% of its 697 buildings, versus 10.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Slaughter compares
Slaughter's 79th-percentile standing inside Louisiana outpaces its 63rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Slaughter ranks 11,689 for wildfire risk (1 is highest) and 14,690 by building count (1 is largest). Within Louisiana alone, it ranks 104 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
Slaughter's high rating (63rd 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.
What would actually reduce this score
Because Direct exposure dominates in Slaughter (89.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Slaughter's figures come from
Every one of the two percentiles behind Slaughter's 11,689-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Slaughter's dominant direct exposure actually means, with real examples from across the dataset.