WildfireRiskFinder

Paderborn, IL

How exposed is Paderborn to wildfire?

Low
8thpercentile nationally

USFS's Wildfire Risk to Communities model puts Paderborn at the 8th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 27 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Paderborn's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.

Where Paderborn's buildings actually sit

27Total buildings
70.4%Direct exposure
0%Indirect exposure
29.6%Minimal exposure

Direct exposure dominates in Paderborn: 70.4% of its 27 buildings, versus 0% Indirect and 29.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Paderborn compares

Paderborn's 38th-percentile standing inside Illinois outpaces its 8th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Paderborn ranks 28,956 for wildfire risk (1 is highest) and 31,389 by building count (1 is largest). Within Illinois alone, it ranks 897 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Paderborn

Paderborn's low rating (8th 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 Paderborn

Because Direct exposure dominates in Paderborn (70.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Paderborn's figures come from

Every one of the two percentiles behind Paderborn's 28,956-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Paderborn's dominant direct exposure actually means, with real examples from across the dataset.