Groveton, VA
Groveton, VA's wildfire risk, in USFS's own numbers
Groveton sits at the 26th 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 3,021 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Groveton at the 26th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Groveton (52.1% of 3,021 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 22.3% sit in the Direct zone.
Groveton against the rest of the country
Groveton scores 26th nationally and 16th within 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, Groveton ranks 23,372 for wildfire risk (1 is highest) and 5,395 by building count (1 is largest). Within Virginia alone, it ranks 573 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Groveton and the insurance market
At the 26th national percentile, Groveton rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Groveton (52.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Groveton's figures come from
Every one of the two percentiles behind Groveton's 23,372-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Groveton's dominant indirect exposure actually means, with real examples from across the dataset.