Jackson, SC
How exposed is Jackson to wildfire?
USFS's Wildfire Risk to Communities model puts Jackson at the 74th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,095 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Jackson at the 73rd percentile, close to its 74th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 73% of Jackson's buildings as Direct exposure, higher than its 27% Indirect share and far above its 0% Minimal share — a profile where 799 structures sit close enough to vegetation that lot clearing matters most.
How Jackson compares
Jackson's risk sits at a similar level relative to South Carolina (71st percentile statewide) as it does nationally (74th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Jackson ranks 8,233 for wildfire risk (1 is highest) and 11,310 by building count (1 is largest). Within South Carolina alone, it ranks 140 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 74th percentile nationally, Jackson 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 Jackson
Jackson's 73% 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 Jackson's figures come from
Every one of the two percentiles behind Jackson's 8,233-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Jackson's dominant direct exposure actually means, with real examples from across the dataset.