Taycheedah, WI
Taycheedah, WI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Taycheedah at the 40th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 457 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Taycheedah at the 42nd national percentile — 2 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
Taycheedah rates 72.2% Minimal exposure against just 27.8% Direct and 0% Indirect — of 457 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Taycheedah against the rest of the country
Within Wisconsin, Taycheedah ranks higher (91st percentile) than it does nationally (40th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Taycheedah ranks 19,053 for wildfire risk (1 is highest) and 18,145 by building count (1 is largest). Within Wisconsin alone, it ranks 75 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
What this risk score means for insurance
At the 40th national percentile, Taycheedah rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Even with 72.2% of Taycheedah 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 Taycheedah's figures come from
Taycheedah's 40th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Taycheedah's dominant minimal exposure actually means, with real examples from across the dataset.