Triumph, IL
How exposed is Triumph to wildfire?
Out of every US place USFS scores, Triumph lands at the 4th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 119 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Triumph's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.
What "at risk" means for the buildings here
Only 19.3% of Triumph's 119 buildings carry Direct exposure and 0% carry Indirect; the remaining 80.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Triumph ranks
Triumph's 25th-percentile standing inside Illinois outpaces its 4th 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, Triumph ranks 30,186 for wildfire risk (1 is highest) and 28,187 by building count (1 is largest). Within Illinois alone, it ranks 1,092 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Triumph
At the 4th national percentile, Triumph rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Even with 80.7% of Triumph outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Triumph's figures come from
Triumph's 4th-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 Triumph's dominant minimal exposure actually means, with real examples from across the dataset.