Hyndman, PA
How exposed is Hyndman to wildfire?
USFS scores Hyndman at the 64th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 547 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hyndman at the 61st national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Hyndman's buildings actually sit
547 buildings are counted in Hyndman, and 88.7% of them are Indirect exposure — ember-driven risk rather than the 11.3% in Direct exposure or the 0% rated Minimal.
How Hyndman compares
Hyndman's 99th-percentile standing inside Pennsylvania outpaces its 64th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Hyndman ranks 11,416 for wildfire risk (1 is highest) and 16,616 by building count (1 is largest). Within Pennsylvania alone, it ranks 28 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Hyndman
Hyndman's 64th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because 88.7% of Hyndman'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 Hyndman's figures come from
The methodology guide shows exactly how USFS turned 547 counted buildings into the percentiles shown above for Hyndman. The exposure-zones guide covers what Hyndman's dominant indirect exposure actually means, with real examples from across the dataset.