Lemannville, LA
Lemannville wildfire risk explained
Out of every US place USFS scores, Lemannville lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 263 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lemannville at the 8th percentile, close to its 7th-percentile risk score.
Lemannville's building exposure, zone by zone
Lemannville rates 57.8% Minimal exposure against just 13.3% Direct and 28.9% Indirect — of 263 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Lemannville ranks
Lemannville scores 7th nationally and 2nd 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, Lemannville ranks 29,217 for wildfire risk (1 is highest) and 22,731 by building count (1 is largest). Within Louisiana alone, it ranks 478 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 7th national percentile, Lemannville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Even with 57.8% of Lemannville outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Lemannville's figures come from
Every one of the two percentiles behind Lemannville's 29,217-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lemannville's dominant minimal exposure actually means, with real examples from across the dataset.