Viola, TN
Viola, TN's wildfire risk, in USFS's own numbers
Viola sits at the 49th 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 121 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Viola at the 52nd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
121 buildings are counted in Viola, and 53.7% of them are Indirect exposure — ember-driven risk rather than the 46.3% in Direct exposure or the 0% rated Minimal.
Viola against the rest of the country
Viola scores 49th nationally and 41st within Tennessee — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Viola ranks 15,960 for wildfire risk (1 is highest) and 28,136 by building count (1 is largest). Within Tennessee alone, it ranks 295 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Shopping for coverage in Viola
Viola's elevated wildfire rating (49th 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
Viola's 53.7% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Viola's figures come from
Every one of the two percentiles behind Viola's 15,960-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Viola's dominant indirect exposure actually means, with real examples from across the dataset.