Lowry Crossing, TX
How exposed is Lowry Crossing to wildfire?
USFS scores Lowry Crossing at the 69th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,071 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lowry Crossing's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
Where Lowry Crossing's buildings actually sit
Of Lowry Crossing's 1,071 counted buildings, 73.8% carry Direct exposure and only 0.8% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Lowry Crossing ranks
Lowry Crossing ranks lower within Texas (28th percentile statewide) than its 69th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Lowry Crossing ranks 9,911 for wildfire risk (1 is highest) and 11,457 by building count (1 is largest). Within Texas alone, it ranks 1,299 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Lowry Crossing and the insurance market
At the 69th percentile nationally, Lowry Crossing 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 Lowry Crossing
Because Direct exposure dominates in Lowry Crossing (73.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Lowry Crossing's figures come from
The methodology guide shows exactly how USFS turned 1,071 counted buildings into the percentiles shown above for Lowry Crossing. The exposure-zones guide covers what Lowry Crossing's dominant direct exposure actually means, with real examples from across the dataset.