Robert Lee, TX
How exposed is Robert Lee to wildfire?
USFS's Wildfire Risk to Communities model puts Robert Lee at the 91st national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,003 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 Robert Lee at the 92nd percentile, close to its 91st-percentile risk score.
What "at risk" means for the buildings here
USFS puts 78.3% of Robert Lee's 1,003 buildings in the Indirect exposure zone, versus 21.7% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Robert Lee against the rest of the country
Robert Lee's risk sits at a similar level relative to Texas (87th 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, Robert Lee ranks 2,754 for wildfire risk (1 is highest) and 11,915 by building count (1 is largest). Within Texas alone, it ranks 232 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
At the 91st percentile nationally, Robert Lee 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
Robert Lee's 78.3% 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 Robert Lee's figures come from
Every one of the two percentiles behind Robert Lee's 2,754-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Robert Lee's dominant indirect exposure actually means, with real examples from across the dataset.