Linville, NC
Linville wildfire risk explained
USFS's Wildfire Risk to Communities model puts Linville at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 454 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Linville's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 88.8% of Linville's buildings as Direct exposure, higher than its 11.2% Indirect share and far above its 0% Minimal share — a profile where 403 structures sit close enough to vegetation that lot clearing matters most.
How Linville compares
Linville scores 63rd nationally and 62nd within North Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Linville ranks 11,637 for wildfire risk (1 is highest) and 18,196 by building count (1 is largest). Within North Carolina alone, it ranks 295 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Linville
At the 63rd percentile nationally, Linville carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 88.8% of Linville 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 Linville's figures come from
The methodology guide shows exactly how USFS turned 454 counted buildings into the percentiles shown above for Linville. The exposure-zones guide covers what Linville's dominant direct exposure actually means, with real examples from across the dataset.