WildfireRiskFinder

Avenel, NJ

Avenel, NJ's wildfire risk, in USFS's own numbers

Moderate
28thpercentile nationally

Avenel's 4,278 buildings earn a 28th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Avenel at the 28th percentile, close to its 28th-percentile risk score.

Avenel's building exposure, zone by zone

4,278Total buildings
2%Direct exposure
0%Indirect exposure
98%Minimal exposure

Most of Avenel's buildings (98% of 4,278) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Avenel compares

Avenel's risk sits at a similar level relative to New Jersey (21st percentile statewide) as it does nationally (28th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Avenel ranks 22,819 for wildfire risk (1 is highest) and 3,994 by building count (1 is largest). Within New Jersey alone, it ranks 554 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.

Shopping for coverage in Avenel

Avenel's moderate wildfire rating (28th 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 98% of buildings rated Minimal exposure, Avenel gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Avenel's figures come from

The methodology guide shows exactly how USFS turned 4,278 counted buildings into the percentiles shown above for Avenel. The exposure-zones guide covers what Avenel's dominant minimal exposure actually means, with real examples from across the dataset.