Low Moor, VA
How exposed is Low Moor to wildfire?
USFS's Wildfire Risk to Communities model puts Low Moor at the 76th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 261 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Low Moor at the 74th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Low Moor's building exposure, zone by zone
261 buildings are counted in Low Moor, and 68.6% of them are Indirect exposure — ember-driven risk rather than the 31.4% in Direct exposure or the 0% rated Minimal.
Where Low Moor ranks
Low Moor scores 76th nationally and 90th 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, Low Moor ranks 7,485 for wildfire risk (1 is highest) and 22,813 by building count (1 is largest). Within Virginia alone, it ranks 67 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Low Moor
Low Moor's 76th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Low Moor
Low Moor's 68.6% 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 Low Moor's figures come from
Every one of the two percentiles behind Low Moor's 7,485-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Low Moor's dominant indirect exposure actually means, with real examples from across the dataset.