Rock Springs, WI
Rock Springs, WI's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Rock Springs lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 275 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rock Springs's burn probability — fire likelihood with no building count factored in — sits at the 29th percentile nationally.
Where Rock Springs's buildings actually sit
55.3% of Rock Springs's 275 buildings sit in USFS's Direct exposure zone, roughly 152 structures close enough to burnable vegetation for flame contact, not just embers — 44.7% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Rock Springs ranks
Within Wisconsin, Rock Springs ranks higher (59th percentile) than it does nationally (28th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rock Springs ranks 22,679 for wildfire risk (1 is highest) and 22,379 by building count (1 is largest). Within Wisconsin alone, it ranks 337 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Rock Springs and the insurance market
Rock Springs's moderate rating (28th 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
Rock Springs's 55.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Rock Springs's figures come from
Every one of the two percentiles behind Rock Springs's 22,679-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rock Springs's dominant direct exposure actually means, with real examples from across the dataset.