Seven Springs, NC
How exposed is Seven Springs to wildfire?
Out of every US place USFS scores, Seven Springs lands at the 44th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 129 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Seven Springs's burn probability — fire likelihood with no building count factored in — sits at the 44th percentile nationally.
What "at risk" means for the buildings here
Of Seven Springs's 129 counted buildings, 63.6% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Seven Springs ranks
Seven Springs's 44th national percentile looks worse in isolation than its 22nd ranking inside North Carolina does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Seven Springs ranks 17,809 for wildfire risk (1 is highest) and 27,762 by building count (1 is largest). Within North Carolina alone, it ranks 602 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
What this risk score means for insurance
At the 44th national percentile, Seven Springs 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 Seven Springs
Seven Springs's 63.6% 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 Seven Springs's figures come from
The methodology guide shows exactly how USFS turned 129 counted buildings into the percentiles shown above for Seven Springs. The exposure-zones guide covers what Seven Springs's dominant direct exposure actually means, with real examples from across the dataset.