New Hartford, NY
How exposed is New Hartford to wildfire?
USFS scores New Hartford at the 5th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 817 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Hartford at the 5th percentile, close to its 5th-percentile risk score.
Where New Hartford's buildings actually sit
42.1% of New Hartford's 817 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 32.8% Direct and 25.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
New Hartford against the rest of the country
New Hartford scores 5th nationally and 4th within New York — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, New Hartford ranks 30,112 for wildfire risk (1 is highest) and 13,486 by building count (1 is largest). Within New York alone, it ranks 1,238 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
New Hartford and the insurance market
At the 5th national percentile, New Hartford rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in New Hartford
New Hartford's 42.1% 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 New Hartford's figures come from
Every one of the two percentiles behind New Hartford's 30,112-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Hartford's dominant indirect exposure actually means, with real examples from across the dataset.