Maurertown, VA
Maurertown, VA's wildfire risk, in USFS's own numbers
Maurertown sits at the 64th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 483 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Maurertown at the 65th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Maurertown's building exposure, zone by zone
Direct exposure dominates in Maurertown: 64.2% of its 483 buildings, versus 35.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Maurertown compares
Maurertown scores 64th nationally and 75th 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, Maurertown ranks 11,236 for wildfire risk (1 is highest) and 17,660 by building count (1 is largest). Within Virginia alone, it ranks 171 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Maurertown
Maurertown's high rating (64th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Maurertown
With 64.2% of Maurertown 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 Maurertown's figures come from
The methodology guide shows exactly how USFS turned 483 counted buildings into the percentiles shown above for Maurertown. The exposure-zones guide covers what Maurertown's dominant direct exposure actually means, with real examples from across the dataset.