WildfireRiskFinder

Tony, WI

Tony wildfire risk explained

Low
13thpercentile nationally

Out of every US place USFS scores, Tony lands at the 13th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 115 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Tony at the 12th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Tony's buildings actually sit

115Total buildings
39.1%Direct exposure
59.1%Indirect exposure
1.7%Minimal exposure

59.1% of Tony's 115 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 39.1% Direct and 1.7% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

How Tony compares

Tony scores 13th nationally and 13th within Wisconsin — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Tony ranks 27,407 for wildfire risk (1 is highest) and 28,433 by building count (1 is largest). Within Wisconsin alone, it ranks 708 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

Tony'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.

Hardening a home in Tony

Because 59.1% of Tony'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 Tony's figures come from

The methodology guide shows exactly how USFS turned 115 counted buildings into the percentiles shown above for Tony. The exposure-zones guide covers what Tony's dominant indirect exposure actually means, with real examples from across the dataset.