Melrose Park, NY
Melrose Park, NY's wildfire risk, in USFS's own numbers
Melrose Park sits at the 5th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,162 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Melrose Park at the 5th percentile, close to its 5th-percentile risk score.
Melrose Park's building exposure, zone by zone
Most of Melrose Park's buildings (61.6% of 1,162) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Melrose Park ranks
Melrose Park scores 5th nationally and 5th 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, Melrose Park ranks 29,924 for wildfire risk (1 is highest) and 10,880 by building count (1 is largest). Within New York alone, it ranks 1,223 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
Melrose Park's low rating (5th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Melrose Park
With 61.6% of buildings rated Minimal exposure, Melrose Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Melrose Park's figures come from
Every one of the two percentiles behind Melrose Park's 29,924-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Melrose Park's dominant minimal exposure actually means, with real examples from across the dataset.