WildfireRiskFinder

Capron, IL

Capron, IL's wildfire risk, in USFS's own numbers

Low
6thpercentile nationally

Capron's 577 buildings earn a 6th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Capron at the 6th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Capron's building exposure, zone by zone

577Total buildings
7.8%Direct exposure
0%Indirect exposure
92.2%Minimal exposure

92.2% of Capron's 577 buildings sit in USFS's Minimal exposure zone, with only 7.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Capron compares

Compare Capron's two percentiles: 32nd within Illinois, only 6th nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Capron ranks 29,554 for wildfire risk (1 is highest) and 16,142 by building count (1 is largest). Within Illinois alone, it ranks 977 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Capron

At the 6th national percentile, Capron rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Capron

With 92.2% of buildings rated Minimal exposure, Capron gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Capron's figures come from

Capron's 6th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Capron's dominant minimal exposure actually means, with real examples from across the dataset.