Dublin, TX
Dublin, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Dublin lands at the 91st percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 2,129 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dublin at the 90th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Dublin's building exposure, zone by zone
USFS puts 67.1% of Dublin's 2,129 buildings in the Indirect exposure zone, versus 32.9% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Dublin compares
Dublin's risk sits at a similar level relative to Texas (85th percentile statewide) as it does nationally (91st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Dublin ranks 3,004 for wildfire risk (1 is highest) and 7,121 by building count (1 is largest). Within Texas alone, it ranks 273 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Dublin and the insurance market
At the 91st percentile nationally, Dublin 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.
Hardening a home in Dublin
Because 67.1% of Dublin'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 Dublin's figures come from
Every one of the two percentiles behind Dublin's 3,004-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dublin's dominant indirect exposure actually means, with real examples from across the dataset.