Glencoe, LA
Glencoe wildfire risk explained
USFS's Wildfire Risk to Communities model puts Glencoe at the 31st national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 104 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Glencoe at the 26th percentile, close to its 31st-percentile risk score.
What "at risk" means for the buildings here
Most of Glencoe's buildings (80.8%) 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.
Glencoe against the rest of the country
There's little gap between Glencoe's 31st national percentile and its 31st percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Glencoe ranks 21,649 for wildfire risk (1 is highest) and 28,847 by building count (1 is largest). Within Louisiana alone, it ranks 338 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Glencoe
Glencoe's moderate rating (31st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Glencoe
Glencoe's 80.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Glencoe's figures come from
The methodology guide shows exactly how USFS turned 104 counted buildings into the percentiles shown above for Glencoe. The exposure-zones guide covers what Glencoe's dominant indirect exposure actually means, with real examples from across the dataset.