Burlington, WV
Burlington, WV's wildfire risk, in USFS's own numbers
Burlington sits at the 58th 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 200 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Burlington's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 67% of Burlington's buildings as Direct exposure, higher than its 33% Indirect share and far above its 0% Minimal share — a profile where 134 structures sit close enough to vegetation that lot clearing matters most.
Where Burlington ranks
Burlington scores 58th nationally and 47th within West Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Burlington ranks 13,317 for wildfire risk (1 is highest) and 24,869 by building count (1 is largest). Within West Virginia alone, it ranks 227 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Burlington and the insurance market
At the 58th national percentile, Burlington rates elevated 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
Burlington's 67% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Burlington's figures come from
Every one of the two percentiles behind Burlington's 13,317-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Burlington's dominant direct exposure actually means, with real examples from across the dataset.