Saxapahaw, NC
Saxapahaw wildfire risk explained
Saxapahaw sits at the 39th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,029 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Saxapahaw at the 41st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Saxapahaw's building exposure, zone by zone
Of Saxapahaw's 1,029 counted buildings, 98.3% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Saxapahaw compares
Saxapahaw's 39th national percentile looks worse in isolation than its 13th ranking inside North Carolina does — this place is on the milder end for its own state, by 26 points. Among the 31,521 US communities USFS scores, Saxapahaw ranks 19,326 for wildfire risk (1 is highest) and 11,731 by building count (1 is largest). Within North Carolina alone, it ranks 670 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Saxapahaw and the insurance market
At the 39th national percentile, Saxapahaw rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Saxapahaw
With 98.3% of Saxapahaw 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 Saxapahaw's figures come from
Saxapahaw's 39th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Saxapahaw's dominant direct exposure actually means, with real examples from across the dataset.