Cassandra, PA
Cassandra, PA's wildfire risk, in USFS's own numbers
Cassandra sits at the 37th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 93 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cassandra at the 37th percentile, close to its 37th-percentile risk score.
Where Cassandra's buildings actually sit
Direct exposure dominates in Cassandra: 69.9% of its 93 buildings, versus 30.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Cassandra ranks
Compare Cassandra's two percentiles: 55th within Pennsylvania, only 37th nationally — a gap of 18 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Cassandra ranks 19,920 for wildfire risk (1 is highest) and 29,375 by building count (1 is largest). Within Pennsylvania alone, it ranks 901 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 37th national percentile, Cassandra rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Cassandra
With 69.9% of Cassandra in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Cassandra's figures come from
Every one of the two percentiles behind Cassandra's 19,920-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cassandra's dominant direct exposure actually means, with real examples from across the dataset.