Violet, LA
How exposed is Violet to wildfire?
USFS's Wildfire Risk to Communities model puts Violet at the 70th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 2,426 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Violet at the 58th national percentile — 12 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Violet's buildings actually sit
Most of Violet's buildings (92.3%) 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.
Violet against the rest of the country
Compare Violet's two percentiles: 86th within Louisiana, only 70th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Violet ranks 9,519 for wildfire risk (1 is highest) and 6,448 by building count (1 is largest). Within Louisiana alone, it ranks 71 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
At the 70th percentile nationally, Violet carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Violet
With ember exposure the dominant pattern in Violet (92.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Violet's figures come from
Every one of the two percentiles behind Violet's 9,519-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Violet's dominant indirect exposure actually means, with real examples from across the dataset.