Tichigan, WI
Tichigan, WI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Tichigan at the 30th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 2,833 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tichigan at the 31st national percentile — 0 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
Of Tichigan's 2,833 counted buildings, 53.4% carry Direct exposure and only 28.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Tichigan against the rest of the country
Tichigan's 65th-percentile standing inside Wisconsin outpaces its 30th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Tichigan ranks 21,953 for wildfire risk (1 is highest) and 5,693 by building count (1 is largest). Within Wisconsin alone, it ranks 280 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Tichigan and the insurance market
At the 30th national percentile, Tichigan rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Tichigan
With 53.4% of Tichigan in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Tichigan's figures come from
The methodology guide shows exactly how USFS turned 2,833 counted buildings into the percentiles shown above for Tichigan. The exposure-zones guide covers what Tichigan's dominant direct exposure actually means, with real examples from across the dataset.