Mount Hope, NJ
How exposed is Mount Hope to wildfire?
Out of every US place USFS scores, Mount Hope lands at the 31st percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 667 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mount Hope at the 30th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Mount Hope: 76.5% of its 667 buildings, versus 23.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Mount Hope ranks
Mount Hope's risk sits at a similar level relative to New Jersey (27th percentile statewide) as it does nationally (31st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Mount Hope ranks 21,689 for wildfire risk (1 is highest) and 14,990 by building count (1 is largest). Within New Jersey alone, it ranks 511 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
Mount Hope's moderate wildfire rating (31st 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.
Hardening a home in Mount Hope
Because Direct exposure dominates in Mount Hope (76.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Mount Hope's figures come from
Mount Hope's 31st-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 Mount Hope's dominant direct exposure actually means, with real examples from across the dataset.