Millville, NJ
How exposed is Millville to wildfire?
Millville's 10,928 buildings earn a 82nd-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Millville's burn probability — fire likelihood with no building count factored in — sits at the 79th percentile nationally.
Where Millville's buildings actually sit
Indirect exposure is dominant in Millville (57.2% of 10,928 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 39.2% sit in the Direct zone. At 10,928 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Millville compares
There's little gap between Millville's 82nd national percentile and its 86th 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, Millville ranks 5,772 for wildfire risk (1 is highest) and 1,448 by building count (1 is largest). Within New Jersey alone, it ranks 99 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Millville
Millville's very high rating (82nd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Millville (57.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Millville's figures come from
Millville's 82nd-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 Millville's dominant indirect exposure actually means, with real examples from across the dataset.