Appomattox, VA
Appomattox wildfire risk explained
USFS scores Appomattox at the 53rd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,075 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Appomattox at the 55th national percentile — 2 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
Indirect exposure is dominant in Appomattox (58.1% of 1,075 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 42% sit in the Direct zone.
How Appomattox compares
There's little gap between Appomattox's 53rd national percentile and its 59th percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Appomattox ranks 14,735 for wildfire risk (1 is highest) and 11,434 by building count (1 is largest). Within Virginia alone, it ranks 283 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Appomattox and the insurance market
Appomattox's elevated wildfire rating (53rd 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.
Hardening a home in Appomattox
Because 58.1% of Appomattox's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Appomattox's figures come from
Every one of the two percentiles behind Appomattox's 14,735-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Appomattox's dominant indirect exposure actually means, with real examples from across the dataset.