Phillips, WI
Phillips wildfire risk explained
Phillips sits at the 15th 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 1,131 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Phillips at the 14th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Phillips's buildings (71.9%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Phillips against the rest of the country
Phillips's risk sits at a similar level relative to Wisconsin (16th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Phillips ranks 26,871 for wildfire risk (1 is highest) and 11,081 by building count (1 is largest). Within Wisconsin alone, it ranks 678 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Phillips and the insurance market
Phillips's low rating (15th 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 Phillips
Because 71.9% of Phillips's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Phillips's figures come from
The methodology guide shows exactly how USFS turned 1,131 counted buildings into the percentiles shown above for Phillips. The exposure-zones guide covers what Phillips's dominant indirect exposure actually means, with real examples from across the dataset.