WildfireRiskFinder

Juda, WI

Juda wildfire risk explained

Low
11thpercentile nationally

USFS scores Juda at the 11th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 238 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Juda at the 12th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Where Juda's buildings actually sit

238Total buildings
12.6%Direct exposure
0%Indirect exposure
87.4%Minimal exposure

Only 12.6% of Juda's 238 buildings carry Direct exposure and 0% carry Indirect; the remaining 87.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Where Juda ranks

Juda's risk sits at a similar level relative to Wisconsin (9th percentile statewide) as it does nationally (11th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Juda ranks 27,975 for wildfire risk (1 is highest) and 23,546 by building count (1 is largest). Within Wisconsin alone, it ranks 738 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

Juda's low rating (11th 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 87.4% of buildings rated Minimal exposure, Juda gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Juda's figures come from

The methodology guide shows exactly how USFS turned 238 counted buildings into the percentiles shown above for Juda. The exposure-zones guide covers what Juda's dominant minimal exposure actually means, with real examples from across the dataset.