Belvoir, NC
How exposed is Belvoir to wildfire?
USFS's Wildfire Risk to Communities model puts Belvoir at the 45th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 247 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Belvoir at the 45th percentile, close to its 45th-percentile risk score.
Belvoir's building exposure, zone by zone
76.1% of Belvoir's 247 buildings sit in USFS's Direct exposure zone, roughly 188 structures close enough to burnable vegetation for flame contact, not just embers — 23.9% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Belvoir ranks
Inside North Carolina, Belvoir sits at just the 24th percentile even though it scores 45th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Belvoir ranks 17,492 for wildfire risk (1 is highest) and 23,243 by building count (1 is largest). Within North Carolina alone, it ranks 588 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Belvoir and the insurance market
Belvoir's elevated wildfire rating (45th 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.
What would actually reduce this score
With 76.1% of Belvoir 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 Belvoir's figures come from
The methodology guide shows exactly how USFS turned 247 counted buildings into the percentiles shown above for Belvoir. The exposure-zones guide covers what Belvoir's dominant direct exposure actually means, with real examples from across the dataset.