Sawmills, NC
How exposed is Sawmills to wildfire?
USFS's Wildfire Risk to Communities model puts Sawmills at the 46th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,989 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sawmills at the 49th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Sawmills's buildings actually sit
Of Sawmills's 2,989 counted buildings, 85.4% carry Direct exposure and only 4.9% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Sawmills compares
Sawmills ranks lower within North Carolina (27th percentile statewide) than its 46th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Sawmills ranks 17,153 for wildfire risk (1 is highest) and 5,454 by building count (1 is largest). Within North Carolina alone, it ranks 564 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Sawmills
Sawmills's elevated rating (46th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 85.4% of Sawmills 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 Sawmills's figures come from
Every one of the two percentiles behind Sawmills's 17,153-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sawmills's dominant direct exposure actually means, with real examples from across the dataset.