Middlesex, NJ
How exposed is Middlesex to wildfire?
Middlesex's 4,906 buildings earn a 24th-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 Middlesex at the 24th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Middlesex's building exposure, zone by zone
66.3% of Middlesex's 4,906 buildings sit in USFS's Minimal exposure zone, with only 11.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Middlesex ranks
Middlesex's risk sits at a similar level relative to New Jersey (13th percentile statewide) as it does nationally (24th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Middlesex ranks 23,893 for wildfire risk (1 is highest) and 3,485 by building count (1 is largest). Within New Jersey alone, it ranks 606 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Middlesex
Middlesex's moderate wildfire rating (24th 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
Even with 66.3% of Middlesex 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 Middlesex's figures come from
Every one of the two percentiles behind Middlesex's 23,893-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Middlesex's dominant minimal exposure actually means, with real examples from across the dataset.