Leesylvania, VA
Leesylvania wildfire risk explained
Leesylvania 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 3,517 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Leesylvania's burn probability — fire likelihood with no building count factored in — sits at the 24th percentile nationally.
Leesylvania's building exposure, zone by zone
67.8% of Leesylvania's 3,517 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 19.6% Direct and 12.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Leesylvania compares
There's little gap between Leesylvania's 26th national percentile and its 15th percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Leesylvania ranks 23,465 for wildfire risk (1 is highest) and 4,755 by building count (1 is largest). Within Virginia alone, it ranks 577 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Leesylvania and the insurance market
At the 26th national percentile, Leesylvania 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
Because 67.8% of Leesylvania'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 Leesylvania's figures come from
The methodology guide shows exactly how USFS turned 3,517 counted buildings into the percentiles shown above for Leesylvania. The exposure-zones guide covers what Leesylvania's dominant indirect exposure actually means, with real examples from across the dataset.