Delcambre, LA
How exposed is Delcambre to wildfire?
Out of every US place USFS scores, Delcambre lands at the 37th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,032 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Delcambre at the 39th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Delcambre's building exposure, zone by zone
Delcambre rates 75.5% Minimal exposure against just 7.6% Direct and 17% Indirect — of 1,032 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Delcambre against the rest of the country
Delcambre scores 37th nationally and 35th 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, Delcambre ranks 19,850 for wildfire risk (1 is highest) and 11,711 by building count (1 is largest). Within Louisiana alone, it ranks 317 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Delcambre
At the 37th national percentile, Delcambre rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Even with 75.5% of Delcambre 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 Delcambre's figures come from
Every one of the two percentiles behind Delcambre's 19,850-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Delcambre's dominant minimal exposure actually means, with real examples from across the dataset.