Kingstown, NC
Kingstown wildfire risk explained
Out of every US place USFS scores, Kingstown lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 379 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kingstown's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
Where Kingstown's buildings actually sit
Direct exposure dominates in Kingstown: 92.4% of its 379 buildings, versus 7.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Kingstown against the rest of the country
There's little gap between Kingstown's 63rd national percentile and its 62nd percentile inside North Carolina, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Kingstown ranks 11,762 for wildfire risk (1 is highest) and 19,671 by building count (1 is largest). Within North Carolina alone, it ranks 298 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Kingstown
At the 63rd percentile nationally, Kingstown 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 Kingstown
Because Direct exposure dominates in Kingstown (92.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Kingstown's figures come from
Every one of the two percentiles behind Kingstown's 11,762-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kingstown's dominant direct exposure actually means, with real examples from across the dataset.