Belwood, NC
Belwood wildfire risk explained
USFS's Wildfire Risk to Communities model puts Belwood at the 59th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,028 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Belwood's burn probability — fire likelihood with no building count factored in — sits at the 62nd percentile nationally.
Where Belwood's buildings actually sit
Direct exposure dominates in Belwood: 88.9% of its 1,028 buildings, versus 11.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Belwood ranks
Belwood's risk sits at a similar level relative to North Carolina (58th percentile statewide) as it does nationally (59th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Belwood ranks 12,924 for wildfire risk (1 is highest) and 11,740 by building count (1 is largest). Within North Carolina alone, it ranks 326 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Belwood
Belwood's elevated wildfire rating (59th 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 88.9% of Belwood 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 Belwood's figures come from
Every one of the two percentiles behind Belwood's 12,924-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Belwood's dominant direct exposure actually means, with real examples from across the dataset.