Cameron, SC
How exposed is Cameron to wildfire?
Cameron sits at the 64th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 431 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cameron's burn probability — fire likelihood with no building count factored in — sits at the 63rd percentile nationally.
Cameron's building exposure, zone by zone
USFS classifies 58.5% of Cameron's buildings as Direct exposure, higher than its 41.5% Indirect share and far above its 0% Minimal share — a profile where 252 structures sit close enough to vegetation that lot clearing matters most.
Where Cameron ranks
Inside South Carolina, Cameron sits at just the 30th percentile even though it scores 64th 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, Cameron ranks 11,513 for wildfire risk (1 is highest) and 18,634 by building count (1 is largest). Within South Carolina alone, it ranks 334 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
What this risk score means for insurance
At the 64th percentile nationally, Cameron 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.
Lowering exposure, not just insuring around it
Cameron's 58.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Cameron's figures come from
The methodology guide shows exactly how USFS turned 431 counted buildings into the percentiles shown above for Cameron. The exposure-zones guide covers what Cameron's dominant direct exposure actually means, with real examples from across the dataset.