WildfireRiskFinder

Olivet, NJ

Olivet wildfire risk explained

High
63rdpercentile nationally

Out of every US place USFS scores, Olivet lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 600 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Olivet at the 63rd percentile, close to its 63rd-percentile risk score.

What "at risk" means for the buildings here

600Total buildings
82.5%Direct exposure
17.5%Indirect exposure
0%Minimal exposure

600 buildings are counted in Olivet, and 82.5% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

Where Olivet ranks

Olivet scores 63rd nationally and 72nd 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, Olivet ranks 11,727 for wildfire risk (1 is highest) and 15,835 by building count (1 is largest). Within New Jersey alone, it ranks 197 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.

Shopping for coverage in Olivet

Olivet's high rating (63rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because Direct exposure dominates in Olivet (82.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Olivet's figures come from

Every one of the two percentiles behind Olivet's 11,727-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Olivet's dominant direct exposure actually means, with real examples from across the dataset.