Dungannon, VA
Dungannon wildfire risk explained
Out of every US place USFS scores, Dungannon lands at the 81st percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 246 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dungannon at the 85th percentile, close to its 81st-percentile risk score.
Dungannon's building exposure, zone by zone
81.3% of Dungannon's 246 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 18.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Dungannon compares
Dungannon scores 81st nationally and 93rd within Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Dungannon ranks 6,003 for wildfire risk (1 is highest) and 23,280 by building count (1 is largest). Within Virginia alone, it ranks 52 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Dungannon and the insurance market
At the 81st percentile nationally, Dungannon carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Dungannon's 81.3% 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 Dungannon's figures come from
Dungannon's 81st-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 Dungannon's dominant indirect exposure actually means, with real examples from across the dataset.