Flemington, PA
How exposed is Flemington to wildfire?
USFS's Wildfire Risk to Communities model puts Flemington at the 47th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 711 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Flemington at the 46th percentile, close to its 47th-percentile risk score.
Flemington's building exposure, zone by zone
83.3% of Flemington's 711 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.2% Direct and 1.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Flemington ranks
Within Pennsylvania, Flemington ranks higher (76th 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, Flemington ranks 16,652 for wildfire risk (1 is highest) and 14,553 by building count (1 is largest). Within Pennsylvania alone, it ranks 471 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Flemington
Flemington's elevated rating (47th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Flemington
Flemington's 83.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Flemington's figures come from
Every one of the two percentiles behind Flemington's 16,652-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Flemington's dominant indirect exposure actually means, with real examples from across the dataset.