WildfireRiskFinder

Summit, IL

Summit wildfire risk explained

Moderate
27thpercentile nationally

USFS scores Summit at the 27th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 4,319 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 Summit at the 27th percentile, close to its 27th-percentile risk score.

Where Summit's buildings actually sit

4,319Total buildings
0%Direct exposure
0%Indirect exposure
100%Minimal exposure

Most of Summit's buildings (100% of 4,319) 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.

Summit against the rest of the country

Within Illinois, Summit ranks higher (75th percentile) than it does nationally (27th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Summit ranks 23,123 for wildfire risk (1 is highest) and 3,965 by building count (1 is largest). Within Illinois alone, it ranks 368 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Summit

Summit's moderate rating (27th 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 Summit

With 100% of buildings rated Minimal exposure, Summit gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Summit's figures come from

The methodology guide shows exactly how USFS turned 4,319 counted buildings into the percentiles shown above for Summit. The exposure-zones guide covers what Summit's dominant minimal exposure actually means, with real examples from across the dataset.