Allenville, IL
Allenville wildfire risk explained
Allenville sits at the 20th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 128 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Allenville's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Where Allenville's buildings actually sit
USFS classifies 66.4% of Allenville's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 33.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Allenville compares
Within Illinois, Allenville ranks higher (61st percentile) than it does nationally (20th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Allenville ranks 25,329 for wildfire risk (1 is highest) and 27,789 by building count (1 is largest). Within Illinois alone, it ranks 566 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Allenville and the insurance market
At the 20th national percentile, Allenville 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 66.4% of Allenville 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 Allenville's figures come from
Allenville's 20th-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 Allenville's dominant minimal exposure actually means, with real examples from across the dataset.