WildfireRiskFinder

Colfax, WI

Colfax, WI's wildfire risk, in USFS's own numbers

Low
18thpercentile nationally

Out of every US place USFS scores, Colfax lands at the 18th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 753 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Colfax at the 18th percentile, close to its 18th-percentile risk score.

What "at risk" means for the buildings here

753Total buildings
19.3%Direct exposure
80.7%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Colfax (80.7% of 753 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 19.3% sit in the Direct zone.

How Colfax compares

There's little gap between Colfax's 18th national percentile and its 25th percentile inside Wisconsin, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Colfax ranks 25,799 for wildfire risk (1 is highest) and 14,095 by building count (1 is largest). Within Wisconsin alone, it ranks 607 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

Colfax's low rating (18th 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 Colfax

With ember exposure the dominant pattern in Colfax (80.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Colfax's figures come from

The methodology guide shows exactly how USFS turned 753 counted buildings into the percentiles shown above for Colfax. The exposure-zones guide covers what Colfax's dominant indirect exposure actually means, with real examples from across the dataset.