South Ilion, NY
How exposed is South Ilion to wildfire?
South Ilion's 46 buildings earn a 6th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, South Ilion's burn probability — fire likelihood with no building count factored in — sits at the 6th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 100% of South Ilion's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 46 structures sit close enough to vegetation that lot clearing matters most.
How South Ilion compares
There's little gap between South Ilion's 6th national percentile and its 10th percentile inside New York, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, South Ilion ranks 29,606 for wildfire risk (1 is highest) and 31,031 by building count (1 is largest). Within New York alone, it ranks 1,165 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
What this risk score means for insurance
South Ilion's low wildfire rating (6th 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.
Lowering exposure, not just insuring around it
With 100% of South Ilion in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where South Ilion's figures come from
Every one of the two percentiles behind South Ilion's 29,606-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what South Ilion's dominant direct exposure actually means, with real examples from across the dataset.