Nettie, WV
How exposed is Nettie to wildfire?
USFS scores Nettie at the 50th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 455 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nettie at the 52nd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Nettie's building exposure, zone by zone
USFS classifies 93% of Nettie's buildings as Direct exposure, higher than its 7% Indirect share and far above its 0% Minimal share — a profile where 423 structures sit close enough to vegetation that lot clearing matters most.
Where Nettie ranks
Nettie scores 50th nationally and 38th 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, Nettie ranks 15,649 for wildfire risk (1 is highest) and 18,185 by building count (1 is largest). Within West Virginia alone, it ranks 266 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Nettie
Nettie's elevated wildfire rating (50th 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.
Lowering exposure, not just insuring around it
Nettie's 93% 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 Nettie's figures come from
Every one of the two percentiles behind Nettie's 15,649-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nettie's dominant direct exposure actually means, with real examples from across the dataset.