Choudrant, LA
Choudrant, LA's wildfire risk, in USFS's own numbers
Choudrant sits at the 48th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 657 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Choudrant's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Where Choudrant's buildings actually sit
USFS classifies 59.1% of Choudrant's buildings as Direct exposure, higher than its 40.9% Indirect share and far above its 0% Minimal share — a profile where 388 structures sit close enough to vegetation that lot clearing matters most.
Where Choudrant ranks
Choudrant scores 48th nationally and 54th 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, Choudrant ranks 16,350 for wildfire risk (1 is highest) and 15,101 by building count (1 is largest). Within Louisiana alone, it ranks 223 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Choudrant and the insurance market
Choudrant's elevated rating (48th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 59.1% of Choudrant in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Choudrant's figures come from
Choudrant's 48th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Choudrant's dominant direct exposure actually means, with real examples from across the dataset.