Concord, VA
Concord, VA's wildfire risk, in USFS's own numbers
Concord sits at the 56th 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 980 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Concord at the 58th 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
89.8% of Concord's 980 buildings sit in USFS's Direct exposure zone, roughly 880 structures close enough to burnable vegetation for flame contact, not just embers — 10.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Concord ranks
Concord's risk sits at a similar level relative to Virginia (62nd percentile statewide) as it does nationally (56th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Concord ranks 13,853 for wildfire risk (1 is highest) and 12,076 by building count (1 is largest). Within Virginia alone, it ranks 262 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Concord and the insurance market
At the 56th national percentile, Concord rates elevated 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
Because Direct exposure dominates in Concord (89.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Concord's figures come from
Every one of the two percentiles behind Concord's 13,853-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Concord's dominant direct exposure actually means, with real examples from across the dataset.