Port Morris, NJ
Port Morris wildfire risk explained
Port Morris's 287 buildings earn a 26th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Port Morris at the 25th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Port Morris's building exposure, zone by zone
70.7% of Port Morris's 287 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 28.2% Direct and 1.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Port Morris against the rest of the country
There's little gap between Port Morris's 26th national percentile and its 18th 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, Port Morris ranks 23,297 for wildfire risk (1 is highest) and 21,984 by building count (1 is largest). Within New Jersey alone, it ranks 575 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Port Morris and the insurance market
Port Morris's moderate wildfire rating (26th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With ember exposure the dominant pattern in Port Morris (70.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Port Morris's figures come from
The methodology guide shows exactly how USFS turned 287 counted buildings into the percentiles shown above for Port Morris. The exposure-zones guide covers what Port Morris's dominant indirect exposure actually means, with real examples from across the dataset.