Yadkinville, NC
Yadkinville wildfire risk explained
Yadkinville's 1,714 buildings earn a 23rd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Yadkinville at the 25th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Yadkinville's building exposure, zone by zone
Of Yadkinville's 1,714 counted buildings, 46.6% carry Direct exposure and only 7.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Yadkinville compares
Yadkinville's 23rd national percentile looks worse in isolation than its 0th ranking inside North Carolina does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Yadkinville ranks 24,243 for wildfire risk (1 is highest) and 8,373 by building count (1 is largest). Within North Carolina alone, it ranks 770 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Yadkinville and the insurance market
At the 23rd national percentile, Yadkinville rates moderate 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
With 46.6% of Yadkinville 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 Yadkinville's figures come from
Every one of the two percentiles behind Yadkinville's 24,243-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Yadkinville's dominant direct exposure actually means, with real examples from across the dataset.