Lansing, NY
Lansing wildfire risk explained
USFS's Wildfire Risk to Communities model puts Lansing at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 952 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lansing at the 15th percentile, close to its 15th-percentile risk score.
What "at risk" means for the buildings here
57.7% of Lansing's 952 buildings sit in USFS's Direct exposure zone, roughly 549 structures close enough to burnable vegetation for flame contact, not just embers — 20.6% fall in the Indirect, ember-only zone and 21.7% are Minimal.
Where Lansing ranks
Lansing's 36th-percentile standing inside New York outpaces its 15th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Lansing ranks 26,669 for wildfire risk (1 is highest) and 12,295 by building count (1 is largest). Within New York alone, it ranks 820 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Lansing and the insurance market
Lansing's low wildfire rating (15th 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 57.7% of Lansing 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 Lansing's figures come from
Every one of the two percentiles behind Lansing's 26,669-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lansing's dominant direct exposure actually means, with real examples from across the dataset.