Bloomsbury, NJ
Bloomsbury wildfire risk explained
Bloomsbury sits at the 33rd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 436 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bloomsbury's burn probability — fire likelihood with no building count factored in — sits at the 31st percentile nationally.
Where Bloomsbury's buildings actually sit
Indirect exposure is dominant in Bloomsbury (68.8% of 436 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 31.2% sit in the Direct zone.
Bloomsbury against the rest of the country
There's little gap between Bloomsbury's 33rd national percentile and its 31st 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, Bloomsbury ranks 21,147 for wildfire risk (1 is highest) and 18,536 by building count (1 is largest). Within New Jersey alone, it ranks 484 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Bloomsbury
Bloomsbury's moderate wildfire rating (33rd 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.
Lowering exposure, not just insuring around it
Because 68.8% of Bloomsbury's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Bloomsbury's figures come from
The methodology guide shows exactly how USFS turned 436 counted buildings into the percentiles shown above for Bloomsbury. The exposure-zones guide covers what Bloomsbury's dominant indirect exposure actually means, with real examples from across the dataset.