Leonia, NJ
Leonia, NJ's wildfire risk, in USFS's own numbers
USFS scores Leonia at the 18th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 2,616 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Leonia at the 18th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 84% of Leonia's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 15.4% Direct and 0.6% Indirect — a landscape-level risk rather than a building-by-building one.
Leonia against the rest of the country
There's little gap between Leonia's 18th national percentile and its 3rd percentile inside New Jersey, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Leonia ranks 25,973 for wildfire risk (1 is highest) and 6,074 by building count (1 is largest). Within New Jersey alone, it ranks 678 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Leonia
Leonia's low rating (18th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 84% of Leonia outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Leonia's figures come from
The methodology guide shows exactly how USFS turned 2,616 counted buildings into the percentiles shown above for Leonia. The exposure-zones guide covers what Leonia's dominant minimal exposure actually means, with real examples from across the dataset.