Alvan (Alvin), IL
Alvan (Alvin), IL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Alvan (Alvin) at the 7th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 216 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Alvan (Alvin) at the 7th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Alvan (Alvin)'s 216 counted buildings, 68.1% carry Direct exposure and only 31.9% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Alvan (Alvin) ranks
Within Illinois, Alvan (Alvin) ranks higher (34th percentile) than it does nationally (7th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Alvan (Alvin) ranks 29,365 for wildfire risk (1 is highest) and 24,266 by building count (1 is largest). Within Illinois alone, it ranks 949 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Alvan (Alvin) and the insurance market
Alvan (Alvin)'s low rating (7th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because Direct exposure dominates in Alvan (Alvin) (68.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Alvan (Alvin)'s figures come from
Every one of the two percentiles behind Alvan (Alvin)'s 29,365-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Alvan (Alvin)'s dominant direct exposure actually means, with real examples from across the dataset.