Welcome, LA
How exposed is Welcome to wildfire?
Out of every US place USFS scores, Welcome lands at the 10th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 354 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Welcome at the 10th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Welcome's buildings (81.1%) 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.
How Welcome compares
Welcome scores 10th nationally and 4th 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, Welcome ranks 28,520 for wildfire risk (1 is highest) and 20,213 by building count (1 is largest). Within Louisiana alone, it ranks 471 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Welcome
Welcome's low wildfire rating (10th 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.
Hardening a home in Welcome
Because 81.1% of Welcome'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 Welcome's figures come from
Welcome's 10th-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 Welcome's dominant indirect exposure actually means, with real examples from across the dataset.