Langley, SC
How exposed is Langley to wildfire?
Langley's 929 buildings earn a 66th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Langley at the 65th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Langley's buildings actually sit
Most of Langley's buildings (66.4%) 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.
Where Langley ranks
Langley ranks lower within South Carolina (39th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Langley ranks 10,822 for wildfire risk (1 is highest) and 12,480 by building count (1 is largest). Within South Carolina alone, it ranks 292 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Langley and the insurance market
Langley's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Because 66.4% of Langley's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Langley's figures come from
Every one of the two percentiles behind Langley's 10,822-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Langley's dominant indirect exposure actually means, with real examples from across the dataset.