Flagtown, NJ
Flagtown, NJ's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Flagtown at the 28th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 504 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Flagtown at the 28th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Flagtown's building exposure, zone by zone
Of Flagtown's 504 counted buildings, 93.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Flagtown against the rest of the country
There's little gap between Flagtown's 28th national percentile and its 21st percentile inside New Jersey, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Flagtown ranks 22,788 for wildfire risk (1 is highest) and 17,268 by building count (1 is largest). Within New Jersey alone, it ranks 552 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
What this risk score means for insurance
Flagtown's moderate rating (28th 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 Flagtown
With 93.9% of Flagtown in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Flagtown's figures come from
The methodology guide shows exactly how USFS turned 504 counted buildings into the percentiles shown above for Flagtown. The exposure-zones guide covers what Flagtown's dominant direct exposure actually means, with real examples from across the dataset.