Jobstown, NJ
Jobstown, NJ's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Jobstown at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 289 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Jobstown at the 68th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Jobstown's buildings actually sit
289 buildings are counted in Jobstown, and 65.1% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 27% rated Minimal.
Where Jobstown ranks
Jobstown scores 68th nationally and 78th 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, Jobstown ranks 10,091 for wildfire risk (1 is highest) and 21,946 by building count (1 is largest). Within New Jersey alone, it ranks 152 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Jobstown and the insurance market
Jobstown's 68th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Jobstown (65.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Jobstown's figures come from
Every one of the two percentiles behind Jobstown's 10,091-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Jobstown's dominant direct exposure actually means, with real examples from across the dataset.