Blawenburg, NJ
Blawenburg wildfire risk explained
USFS scores Blawenburg at the 38th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 141 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Blawenburg at the 39th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Blawenburg's building exposure, zone by zone
Of Blawenburg's 141 counted buildings, 92.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Blawenburg compares
Blawenburg scores 38th nationally and 40th within New Jersey — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Blawenburg ranks 19,510 for wildfire risk (1 is highest) and 27,259 by building count (1 is largest). Within New Jersey alone, it ranks 419 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Blawenburg
Blawenburg's moderate wildfire rating (38th 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 92.9% of Blawenburg in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Blawenburg's figures come from
The methodology guide shows exactly how USFS turned 141 counted buildings into the percentiles shown above for Blawenburg. The exposure-zones guide covers what Blawenburg's dominant direct exposure actually means, with real examples from across the dataset.