Newburg (Cumberland), PA
Newburg (Cumberland) wildfire risk explained
Newburg (Cumberland)'s 191 buildings earn a 37th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Newburg (Cumberland) at the 39th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
70.7% of Newburg (Cumberland)'s 191 buildings sit in USFS's Minimal exposure zone, with only 29.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Newburg (Cumberland) ranks
Compare Newburg (Cumberland)'s two percentiles: 54th within Pennsylvania, only 37th nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Newburg (Cumberland) ranks 19,991 for wildfire risk (1 is highest) and 25,221 by building count (1 is largest). Within Pennsylvania alone, it ranks 917 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Newburg (Cumberland) and the insurance market
At the 37th national percentile, Newburg (Cumberland) rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Newburg (Cumberland)'s 70.7% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Newburg (Cumberland)'s figures come from
The methodology guide shows exactly how USFS turned 191 counted buildings into the percentiles shown above for Newburg (Cumberland). The exposure-zones guide covers what Newburg (Cumberland)'s dominant minimal exposure actually means, with real examples from across the dataset.