WildfireRiskFinder

Anna, IL

Anna wildfire risk explained

Elevated
46thpercentile nationally

USFS's Wildfire Risk to Communities model puts Anna at the 46th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,486 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Anna's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.

Anna's building exposure, zone by zone

2,486Total buildings
21%Direct exposure
79%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Anna (79% of 2,486 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 21% sit in the Direct zone.

Where Anna ranks

Within Illinois, Anna ranks higher (97th percentile) than it does nationally (46th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Anna ranks 17,010 for wildfire risk (1 is highest) and 6,326 by building count (1 is largest). Within Illinois alone, it ranks 47 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Anna and the insurance market

At the 46th national percentile, Anna rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Anna's 79% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Anna's figures come from

Every one of the two percentiles behind Anna's 17,010-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Anna's dominant indirect exposure actually means, with real examples from across the dataset.