Forest Acres, SC
How exposed is Forest Acres to wildfire?
Out of every US place USFS scores, Forest Acres lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 4,909 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Forest Acres's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
Forest Acres's building exposure, zone by zone
64.4% of Forest Acres's 4,909 buildings sit in USFS's Minimal exposure zone, with only 32.7% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Forest Acres compares
Forest Acres's 48th national percentile looks worse in isolation than its 2nd ranking inside South Carolina does — this place is on the milder end for its own state, by 47 points. Among the 31,521 US communities USFS scores, Forest Acres ranks 16,308 for wildfire risk (1 is highest) and 3,484 by building count (1 is largest). Within South Carolina alone, it ranks 467 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Forest Acres and the insurance market
Forest Acres's elevated wildfire rating (48th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Forest Acres's 64.4% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Forest Acres's figures come from
The methodology guide shows exactly how USFS turned 4,909 counted buildings into the percentiles shown above for Forest Acres. The exposure-zones guide covers what Forest Acres's dominant minimal exposure actually means, with real examples from across the dataset.