WildfireRiskFinder

Cambria, WI

Cambria wildfire risk explained

Moderate
35thpercentile nationally

USFS scores Cambria at the 35th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 437 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cambria at the 35th percentile, close to its 35th-percentile risk score.

What "at risk" means for the buildings here

437Total buildings
13.5%Direct exposure
0%Indirect exposure
86.5%Minimal exposure

Most of Cambria's buildings (86.5% of 437) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Cambria compares

Compare Cambria's two percentiles: 81st within Wisconsin, only 35th nationally — a gap of 47 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Cambria ranks 20,563 for wildfire risk (1 is highest) and 18,527 by building count (1 is largest). Within Wisconsin alone, it ranks 149 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Cambria and the insurance market

At the 35th national percentile, Cambria rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Cambria's 86.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Cambria's figures come from

Every one of the two percentiles behind Cambria's 20,563-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cambria's dominant minimal exposure actually means, with real examples from across the dataset.