Quinby, VA
Quinby wildfire risk explained
USFS's Wildfire Risk to Communities model puts Quinby at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 268 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Quinby at the 57th percentile, close to its 63rd-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 81% of Quinby's buildings as Direct exposure, higher than its 15.7% Indirect share and far above its 3.4% Minimal share — a profile where 217 structures sit close enough to vegetation that lot clearing matters most.
Quinby against the rest of the country
Quinby scores 63rd nationally and 73rd 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, Quinby ranks 11,553 for wildfire risk (1 is highest) and 22,592 by building count (1 is largest). Within Virginia alone, it ranks 187 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
What this risk score means for insurance
At the 63rd percentile nationally, Quinby 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.
Lowering exposure, not just insuring around it
With 81% of Quinby 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 Quinby's figures come from
Every one of the two percentiles behind Quinby's 11,553-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Quinby's dominant direct exposure actually means, with real examples from across the dataset.