Dundas, IL
How exposed is Dundas to wildfire?
Out of every US place USFS scores, Dundas lands at the 2nd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 148 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dundas at the 2nd percentile, close to its 2nd-percentile risk score.
What "at risk" means for the buildings here
Most of Dundas's buildings (59.5% of 148) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Dundas against the rest of the country
Dundas scores 2nd nationally and 15th within Illinois — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Dundas ranks 30,878 for wildfire risk (1 is highest) and 26,946 by building count (1 is largest). Within Illinois alone, it ranks 1,228 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
Dundas's low wildfire rating (2nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Even with 59.5% of Dundas 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 Dundas's figures come from
Every one of the two percentiles behind Dundas's 30,878-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dundas's dominant minimal exposure actually means, with real examples from across the dataset.