Bulpitt, IL
How exposed is Bulpitt to wildfire?
USFS's Wildfire Risk to Communities model puts Bulpitt at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 134 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bulpitt at the 15th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Bulpitt's buildings actually sit
Only 3% of Bulpitt's 134 buildings carry Direct exposure and 0% carry Indirect; the remaining 97% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Bulpitt compares
Bulpitt's 53rd-percentile standing inside Illinois outpaces its 15th 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, Bulpitt ranks 26,781 for wildfire risk (1 is highest) and 27,528 by building count (1 is largest). Within Illinois alone, it ranks 675 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Bulpitt's low wildfire rating (15th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Bulpitt
With 97% of buildings rated Minimal exposure, Bulpitt gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Bulpitt's figures come from
Bulpitt's 15th-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 Bulpitt's dominant minimal exposure actually means, with real examples from across the dataset.