Walstonburg, NC
How exposed is Walstonburg to wildfire?
Walstonburg's 229 buildings earn a 45th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Walstonburg at the 43rd national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Walstonburg's building exposure, zone by zone
55.9% of Walstonburg's 229 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 44.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Walstonburg against the rest of the country
Inside North Carolina, Walstonburg sits at just the 25th 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, Walstonburg ranks 17,341 for wildfire risk (1 is highest) and 23,827 by building count (1 is largest). Within North Carolina alone, it ranks 579 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Walstonburg
At the 45th national percentile, Walstonburg rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Walstonburg's 55.9% 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 Walstonburg's figures come from
The methodology guide shows exactly how USFS turned 229 counted buildings into the percentiles shown above for Walstonburg. The exposure-zones guide covers what Walstonburg's dominant indirect exposure actually means, with real examples from across the dataset.