Lillington, NC
How exposed is Lillington to wildfire?
Lillington's 1,696 buildings earn a 60th-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 Lillington at the 60th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Lillington's buildings (53.5%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Lillington against the rest of the country
Lillington's risk sits at a similar level relative to North Carolina (58th percentile statewide) as it does nationally (60th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lillington ranks 12,705 for wildfire risk (1 is highest) and 8,432 by building count (1 is largest). Within North Carolina alone, it ranks 323 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
What this risk score means for insurance
At the 60th national percentile, Lillington rates elevated 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 Lillington
With ember exposure the dominant pattern in Lillington (53.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Lillington's figures come from
The methodology guide shows exactly how USFS turned 1,696 counted buildings into the percentiles shown above for Lillington. The exposure-zones guide covers what Lillington's dominant indirect exposure actually means, with real examples from across the dataset.