Renner Corner, SD
Renner Corner, SD's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Renner Corner lands at the 47th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 223 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Renner Corner at the 47th percentile, close to its 47th-percentile risk score.
Where Renner Corner's buildings actually sit
Direct exposure dominates in Renner Corner: 69.5% of its 223 buildings, versus 0% Indirect and 30.5% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Renner Corner ranks
Renner Corner's 47th national percentile looks worse in isolation than its 24th ranking inside South Dakota does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Renner Corner ranks 16,811 for wildfire risk (1 is highest) and 24,035 by building count (1 is largest). Within South Dakota alone, it ranks 333 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.
What this risk score means for insurance
Renner Corner's elevated rating (47th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Renner Corner (69.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Renner Corner's figures come from
Renner Corner's 47th-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 Renner Corner's dominant direct exposure actually means, with real examples from across the dataset.