Copiague, NY
Copiague wildfire risk explained
USFS's Wildfire Risk to Communities model puts Copiague at the 47th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 7,011 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Copiague's burn probability — fire likelihood with no building count factored in — sits at the 39th percentile nationally.
Copiague's building exposure, zone by zone
Copiague rates 99.4% Minimal exposure against just 0.6% Direct and 0% Indirect — of 7,011 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 7,011 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Copiague ranks
Within New York, Copiague ranks higher (92nd percentile) than it does nationally (47th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Copiague ranks 16,616 for wildfire risk (1 is highest) and 2,458 by building count (1 is largest). Within New York alone, it ranks 110 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Copiague and the insurance market
At the 47th national percentile, Copiague rates elevated 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 99.4% of buildings rated Minimal exposure, Copiague gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Copiague's figures come from
Copiague's 47th-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 Copiague's dominant minimal exposure actually means, with real examples from across the dataset.