Chenango Bridge, NY
Chenango Bridge wildfire risk explained
Out of every US place USFS scores, Chenango Bridge lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,457 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Chenango Bridge at the 15th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
1,457 buildings are counted in Chenango Bridge, and 54% of them are Indirect exposure — ember-driven risk rather than the 46% in Direct exposure or the 0% rated Minimal.
How Chenango Bridge compares
Chenango Bridge's 38th-percentile standing inside New York outpaces its 16th 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, Chenango Bridge ranks 26,447 for wildfire risk (1 is highest) and 9,365 by building count (1 is largest). Within New York alone, it ranks 804 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Chenango Bridge and the insurance market
At the 16th national percentile, Chenango Bridge rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Chenango Bridge (54% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Chenango Bridge's figures come from
Chenango Bridge's 16th-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 Chenango Bridge's dominant indirect exposure actually means, with real examples from across the dataset.