Corsica, SD
Corsica, SD's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Corsica lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 462 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Corsica's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Where Corsica's buildings actually sit
86.8% of Corsica's 462 buildings sit in USFS's Minimal exposure zone, with only 13.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Corsica compares
Inside South Dakota, Corsica sits at just the 30th percentile even though it scores 50th 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, Corsica ranks 15,804 for wildfire risk (1 is highest) and 18,035 by building count (1 is largest). Within South Dakota alone, it ranks 309 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.
Shopping for coverage in Corsica
Corsica's elevated wildfire rating (50th 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.
Lowering exposure, not just insuring around it
Even with 86.8% of Corsica outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Corsica's figures come from
Corsica's 50th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Corsica's dominant minimal exposure actually means, with real examples from across the dataset.