Juliustown, NJ
Juliustown, NJ's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Juliustown lands at the 73rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 244 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Juliustown's burn probability — fire likelihood with no building count factored in — sits at the 73rd percentile nationally.
Where Juliustown's buildings actually sit
244 buildings are counted in Juliustown, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Juliustown ranks
Juliustown's risk sits at a similar level relative to New Jersey (81st percentile statewide) as it does nationally (73rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Juliustown ranks 8,450 for wildfire risk (1 is highest) and 23,337 by building count (1 is largest). Within New Jersey alone, it ranks 133 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Juliustown and the insurance market
At the 73rd percentile nationally, Juliustown carries the 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 Juliustown
Juliustown's 100% 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 Juliustown's figures come from
Juliustown's 73rd-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 Juliustown's dominant direct exposure actually means, with real examples from across the dataset.