Bloomfield, PA
Bloomfield, PA's wildfire risk, in USFS's own numbers
Bloomfield sits at the 47th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 548 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 Bloomfield at the 47th percentile, close to its 47th-percentile risk score.
Bloomfield's building exposure, zone by zone
548 buildings are counted in Bloomfield, and 73% of them are Indirect exposure — ember-driven risk rather than the 27% in Direct exposure or the 0% rated Minimal.
How Bloomfield compares
Within Pennsylvania, Bloomfield ranks higher (77th percentile) than it does nationally (47th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Bloomfield ranks 16,619 for wildfire risk (1 is highest) and 16,606 by building count (1 is largest). Within Pennsylvania alone, it ranks 467 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Bloomfield
At the 47th national percentile, Bloomfield 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 73% of Bloomfield'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 Bloomfield's figures come from
Every one of the two percentiles behind Bloomfield's 16,619-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bloomfield's dominant indirect exposure actually means, with real examples from across the dataset.