Ashland, LA
Ashland wildfire risk explained
USFS's Wildfire Risk to Communities model puts Ashland at the 54th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 256 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ashland at the 55th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Ashland's buildings actually sit
USFS classifies 97.7% of Ashland's buildings as Direct exposure, higher than its 2.3% Indirect share and far above its 0% Minimal share — a profile where 250 structures sit close enough to vegetation that lot clearing matters most.
Where Ashland ranks
There's little gap between Ashland's 54th national percentile and its 65th percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Ashland ranks 14,465 for wildfire risk (1 is highest) and 22,939 by building count (1 is largest). Within Louisiana alone, it ranks 170 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
Shopping for coverage in Ashland
At the 54th national percentile, Ashland rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Ashland
With 97.7% of Ashland 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 Ashland's figures come from
Ashland's 54th-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 Ashland's dominant direct exposure actually means, with real examples from across the dataset.