East Washington, PA
East Washington wildfire risk explained
USFS's Wildfire Risk to Communities model puts East Washington at the 26th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 714 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 East Washington at the 28th percentile, close to its 26th-percentile risk score.
What "at risk" means for the buildings here
714 buildings are counted in East Washington, and 47.1% of them are Indirect exposure — ember-driven risk rather than the 12.2% in Direct exposure or the 40.8% rated Minimal.
How East Washington compares
There's little gap between East Washington's 26th national percentile and its 31st percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, East Washington ranks 23,268 for wildfire risk (1 is highest) and 14,522 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,371 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
East Washington and the insurance market
At the 26th national percentile, East Washington rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in East Washington (47.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where East Washington's figures come from
East Washington's 26th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what East Washington's dominant indirect exposure actually means, with real examples from across the dataset.