Rainsburg, PA
Rainsburg, PA's wildfire risk, in USFS's own numbers
USFS scores Rainsburg at the 48th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 111 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rainsburg's burn probability — fire likelihood with no building count factored in — sits at the 45th percentile nationally.
Rainsburg's building exposure, zone by zone
Most of Rainsburg's buildings (68.5%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Rainsburg compares
Compare Rainsburg's two percentiles: 78th within Pennsylvania, only 48th nationally — a gap of 30 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Rainsburg ranks 16,432 for wildfire risk (1 is highest) and 28,608 by building count (1 is largest). Within Pennsylvania alone, it ranks 451 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
At the 48th national percentile, Rainsburg rates elevated 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
Because 68.5% of Rainsburg's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Rainsburg's figures come from
The methodology guide shows exactly how USFS turned 111 counted buildings into the percentiles shown above for Rainsburg. The exposure-zones guide covers what Rainsburg's dominant indirect exposure actually means, with real examples from across the dataset.