WildfireRiskFinder

Whittlesey, WI

Whittlesey wildfire risk explained

Low
18thpercentile nationally

Whittlesey's 103 buildings earn a 18th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

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

Whittlesey's building exposure, zone by zone

103Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Whittlesey: 100% of its 103 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Whittlesey against the rest of the country

Whittlesey scores 18th nationally and 24th 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, Whittlesey ranks 25,926 for wildfire risk (1 is highest) and 28,929 by building count (1 is largest). Within Wisconsin alone, it ranks 616 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Whittlesey and the insurance market

Whittlesey'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 Whittlesey

With 100% of Whittlesey in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.

Where Whittlesey's figures come from

The methodology guide shows exactly how USFS turned 103 counted buildings into the percentiles shown above for Whittlesey. The exposure-zones guide covers what Whittlesey's dominant direct exposure actually means, with real examples from across the dataset.