WildfireRiskFinder

Ironton, WI

Ironton, WI's wildfire risk, in USFS's own numbers

Moderate
32ndpercentile nationally

Ironton's 136 buildings earn a 32nd-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.)

Separately from the risk score above, Ironton's burn probability — fire likelihood with no building count factored in — sits at the 34th percentile nationally.

Where Ironton's buildings actually sit

136Total buildings
34.6%Direct exposure
65.4%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Ironton (65.4% of 136 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 34.6% sit in the Direct zone.

Ironton against the rest of the country

Compare Ironton's two percentiles: 70th within Wisconsin, only 32nd nationally — a gap of 38 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Ironton ranks 21,512 for wildfire risk (1 is highest) and 27,477 by building count (1 is largest). Within Wisconsin alone, it ranks 243 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Ironton and the insurance market

Ironton's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Ironton

Ironton's 65.4% 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 Ironton's figures come from

Every one of the two percentiles behind Ironton's 21,512-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ironton's dominant indirect exposure actually means, with real examples from across the dataset.