Gray, LA
Gray wildfire risk explained
USFS's Wildfire Risk to Communities model puts Gray at the 37th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 2,699 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Gray at the 26th national percentile — 10 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Gray's buildings actually sit
Most of Gray's buildings (67.4%) 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.
Where Gray ranks
There's little gap between Gray's 37th national percentile and its 35th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Gray ranks 20,008 for wildfire risk (1 is highest) and 5,934 by building count (1 is largest). Within Louisiana alone, it ranks 320 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
Gray's moderate wildfire rating (37th 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.
What would actually reduce this score
Because 67.4% of Gray'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 Gray's figures come from
Every one of the two percentiles behind Gray's 20,008-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gray's dominant indirect exposure actually means, with real examples from across the dataset.