Conestee, SC
Conestee wildfire risk explained
Out of every US place USFS scores, Conestee lands at the 51st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 560 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Conestee at the 54th percentile, close to its 51st-percentile risk score.
Where Conestee's buildings actually sit
USFS classifies 70.4% of Conestee's buildings as Direct exposure, higher than its 29.6% Indirect share and far above its 0% Minimal share — a profile where 394 structures sit close enough to vegetation that lot clearing matters most.
Where Conestee ranks
Inside South Carolina, Conestee sits at just the 3rd percentile even though it scores 51st 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, Conestee ranks 15,519 for wildfire risk (1 is highest) and 16,412 by building count (1 is largest). Within South Carolina alone, it ranks 457 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Conestee and the insurance market
At the 51st national percentile, Conestee 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 Conestee
Conestee's 70.4% 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 Conestee's figures come from
Every one of the two percentiles behind Conestee's 15,519-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Conestee's dominant direct exposure actually means, with real examples from across the dataset.