Travelers Rest, SC
How exposed is Travelers Rest to wildfire?
Travelers Rest's 2,635 buildings earn a 63rd-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.)
Separately from the risk score above, Travelers Rest's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
Where Travelers Rest's buildings actually sit
USFS classifies 54% of Travelers Rest's buildings as Direct exposure, higher than its 46% Indirect share and far above its 0% Minimal share — a profile where 1,422 structures sit close enough to vegetation that lot clearing matters most.
How Travelers Rest compares
Inside South Carolina, Travelers Rest sits at just the 28th percentile even though it scores 63rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Travelers Rest ranks 11,735 for wildfire risk (1 is highest) and 6,044 by building count (1 is largest). Within South Carolina alone, it ranks 345 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Travelers Rest
At the 63rd percentile nationally, Travelers Rest carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Travelers Rest
Because Direct exposure dominates in Travelers Rest (54%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Travelers Rest's figures come from
The methodology guide shows exactly how USFS turned 2,635 counted buildings into the percentiles shown above for Travelers Rest. The exposure-zones guide covers what Travelers Rest's dominant direct exposure actually means, with real examples from across the dataset.