Lime Ridge, WI
Lime Ridge, WI's wildfire risk, in USFS's own numbers
Lime Ridge's 150 buildings earn a 26th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lime Ridge at the 27th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Lime Ridge (56% of 150 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 44% sit in the Direct zone.
How Lime Ridge compares
Compare Lime Ridge's two percentiles: 51st within Wisconsin, only 26th nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Lime Ridge ranks 23,435 for wildfire risk (1 is highest) and 26,898 by building count (1 is largest). Within Wisconsin alone, it ranks 395 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Lime Ridge
Lime Ridge's moderate wildfire rating (26th 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
Lime Ridge's 56% 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 Lime Ridge's figures come from
Every one of the two percentiles behind Lime Ridge's 23,435-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lime Ridge's dominant indirect exposure actually means, with real examples from across the dataset.