Ventnor City, NJ
Ventnor City wildfire risk explained
Ventnor City's 4,641 buildings earn a 84th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ventnor City at the 74th national percentile — 10 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Ventnor City's buildings actually sit
USFS classifies 99.5% of Ventnor City's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 0.5% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Ventnor City ranks
Ventnor City scores 84th nationally and 88th 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, Ventnor City ranks 5,202 for wildfire risk (1 is highest) and 3,663 by building count (1 is largest). Within New Jersey alone, it ranks 87 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Ventnor City
At the 84th percentile nationally, Ventnor City carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Ventnor City
With 99.5% of buildings rated Minimal exposure, Ventnor City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Ventnor City's figures come from
Every one of the two percentiles behind Ventnor City's 5,202-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ventnor City's dominant minimal exposure actually means, with real examples from across the dataset.