Roadstown, NJ
Roadstown wildfire risk explained
USFS's Wildfire Risk to Communities model puts Roadstown at the 46th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 147 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Roadstown at the 46th percentile, close to its 46th-percentile risk score.
Roadstown's building exposure, zone by zone
72.8% of Roadstown's 147 buildings sit in USFS's Direct exposure zone, roughly 107 structures close enough to burnable vegetation for flame contact, not just embers — 27.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Roadstown ranks
Roadstown's risk sits at a similar level relative to New Jersey (52nd percentile statewide) as it does nationally (46th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Roadstown ranks 16,962 for wildfire risk (1 is highest) and 26,994 by building count (1 is largest). Within New Jersey alone, it ranks 340 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Shopping for coverage in Roadstown
Roadstown's elevated wildfire rating (46th 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
Roadstown's 72.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Roadstown's figures come from
Roadstown's 46th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Roadstown's dominant direct exposure actually means, with real examples from across the dataset.