Pecan Gap, TX
Pecan Gap wildfire risk explained
USFS's Wildfire Risk to Communities model puts Pecan Gap at the 72nd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 199 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 Pecan Gap at the 72nd percentile, close to its 72nd-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 78.4% of Pecan Gap's buildings as Direct exposure, higher than its 21.6% Indirect share and far above its 0% Minimal share — a profile where 156 structures sit close enough to vegetation that lot clearing matters most.
Pecan Gap against the rest of the country
Inside Texas, Pecan Gap sits at just the 36th percentile even though it scores 72nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Pecan Gap ranks 8,900 for wildfire risk (1 is highest) and 24,904 by building count (1 is largest). Within Texas alone, it ranks 1,152 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 72nd percentile nationally, Pecan Gap carries the 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 Pecan Gap
Because Direct exposure dominates in Pecan Gap (78.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Pecan Gap's figures come from
Pecan Gap's 72nd-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 Pecan Gap's dominant direct exposure actually means, with real examples from across the dataset.