Twin Brooks, SD
Twin Brooks, SD's wildfire risk, in USFS's own numbers
Twin Brooks's 68 buildings earn a 41st-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Twin Brooks at the 36th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 41.2% of Twin Brooks's 68 buildings carry Direct exposure and 0% carry Indirect; the remaining 58.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Twin Brooks compares
Inside South Dakota, Twin Brooks sits at just the 15th percentile even though it scores 41st 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, Twin Brooks ranks 18,608 for wildfire risk (1 is highest) and 30,367 by building count (1 is largest). Within South Dakota alone, it ranks 375 of 439 places by risk. See the full county-by-county picture for South Dakota on its state page.
Twin Brooks and the insurance market
Twin Brooks's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 58.8% of Twin Brooks 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 Twin Brooks's figures come from
The methodology guide shows exactly how USFS turned 68 counted buildings into the percentiles shown above for Twin Brooks. The exposure-zones guide covers what Twin Brooks's dominant minimal exposure actually means, with real examples from across the dataset.