Welsh, LA
Welsh, LA's wildfire risk, in USFS's own numbers
Welsh sits at the 35th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,966 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Welsh at the 37th percentile, close to its 35th-percentile risk score.
What "at risk" means for the buildings here
Only 21.8% of Welsh's 1,966 buildings carry Direct exposure and 11.8% carry Indirect; the remaining 66.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Welsh against the rest of the country
There's little gap between Welsh's 35th national percentile and its 34th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Welsh ranks 20,448 for wildfire risk (1 is highest) and 7,571 by building count (1 is largest). Within Louisiana alone, it ranks 324 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Welsh and the insurance market
Welsh's moderate rating (35th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 66.4% of buildings rated Minimal exposure, Welsh gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Welsh's figures come from
Welsh's 35th-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 Welsh's dominant minimal exposure actually means, with real examples from across the dataset.