WildfireRiskFinder

Blackwood, NJ

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

Elevated
54thpercentile nationally

USFS's Wildfire Risk to Communities model puts Blackwood at the 54th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,808 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Blackwood at the 55th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.

Blackwood's building exposure, zone by zone

1,808Total buildings
12.2%Direct exposure
0%Indirect exposure
87.8%Minimal exposure

Blackwood rates 87.8% Minimal exposure against just 12.2% Direct and 0% Indirect — of 1,808 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Blackwood compares

Blackwood scores 54th nationally and 63rd 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, Blackwood ranks 14,504 for wildfire risk (1 is highest) and 8,038 by building count (1 is largest). Within New Jersey alone, it ranks 258 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.

Shopping for coverage in Blackwood

Blackwood's elevated rating (54th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Blackwood

Blackwood's 87.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Blackwood's figures come from

The methodology guide shows exactly how USFS turned 1,808 counted buildings into the percentiles shown above for Blackwood. The exposure-zones guide covers what Blackwood's dominant minimal exposure actually means, with real examples from across the dataset.