Fairview, SD
How exposed is Fairview to wildfire?
USFS scores Fairview at the 69th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 62 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fairview's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
Where Fairview's buildings actually sit
62 buildings are counted in Fairview, and 74.2% of them are Indirect exposure — ember-driven risk rather than the 25.8% in Direct exposure or the 0% rated Minimal.
Fairview against the rest of the country
There's little gap between Fairview's 69th national percentile and its 64th percentile inside South Dakota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Fairview ranks 9,844 for wildfire risk (1 is highest) and 30,598 by building count (1 is largest). Within South Dakota alone, it ranks 161 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.
Shopping for coverage in Fairview
At the 69th percentile nationally, Fairview 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 Fairview
Fairview's 74.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Fairview's figures come from
Every one of the two percentiles behind Fairview's 9,844-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Fairview's dominant indirect exposure actually means, with real examples from across the dataset.