Eastchester, NY
How exposed is Eastchester to wildfire?
Out of every US place USFS scores, Eastchester lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 4,964 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 Eastchester at the 31st percentile, close to its 28th-percentile risk score.
Eastchester's building exposure, zone by zone
USFS classifies 86.8% of Eastchester's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.2% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Eastchester ranks
Within New York, Eastchester ranks higher (59th percentile) than it does nationally (28th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Eastchester ranks 22,637 for wildfire risk (1 is highest) and 3,455 by building count (1 is largest). Within New York alone, it ranks 530 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
At the 28th national percentile, Eastchester rates moderate 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 Eastchester
With 86.8% of buildings rated Minimal exposure, Eastchester gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Eastchester's figures come from
Eastchester's 28th-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 Eastchester's dominant minimal exposure actually means, with real examples from across the dataset.