Addieville, IL
Addieville wildfire risk explained
USFS scores Addieville at the 0th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 249 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Addieville at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Addieville's building exposure, zone by zone
USFS classifies 87.2% of Addieville's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 12.9% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Addieville against the rest of the country
There's little gap between Addieville's 0th national percentile and its 5th percentile inside Illinois, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Addieville ranks 31,380 for wildfire risk (1 is highest) and 23,164 by building count (1 is largest). Within Illinois alone, it ranks 1,371 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
At the 0th national percentile, Addieville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Addieville
With 87.2% of buildings rated Minimal exposure, Addieville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Addieville's figures come from
Addieville's 0th-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 Addieville's dominant minimal exposure actually means, with real examples from across the dataset.