Brooklawn, NJ
Brooklawn wildfire risk explained
USFS's Wildfire Risk to Communities model puts Brooklawn at the 48th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 643 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Brooklawn at the 49th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Brooklawn's buildings actually sit
98.4% of Brooklawn's 643 buildings sit in USFS's Minimal exposure zone, with only 1.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Brooklawn against the rest of the country
Brooklawn's risk sits at a similar level relative to New Jersey (54th percentile statewide) as it does nationally (48th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Brooklawn ranks 16,423 for wildfire risk (1 is highest) and 15,285 by building count (1 is largest). Within New Jersey alone, it ranks 325 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Brooklawn and the insurance market
At the 48th national percentile, Brooklawn rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Even with 98.4% of Brooklawn 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 Brooklawn's figures come from
Brooklawn's 48th-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 Brooklawn's dominant minimal exposure actually means, with real examples from across the dataset.