Catawba, WI
How exposed is Catawba to wildfire?
Catawba sits at the 13th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 187 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Catawba at the 13th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Catawba's building exposure, zone by zone
187 buildings are counted in Catawba, and 66.8% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Catawba against the rest of the country
Catawba's risk sits at a similar level relative to Wisconsin (12th percentile statewide) as it does nationally (13th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Catawba ranks 27,533 for wildfire risk (1 is highest) and 25,377 by building count (1 is largest). Within Wisconsin alone, it ranks 714 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Catawba
Catawba's low rating (13th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 66.8% of Catawba 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 Catawba's figures come from
Every one of the two percentiles behind Catawba's 27,533-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Catawba's dominant direct exposure actually means, with real examples from across the dataset.