Colmesneil, TX
Colmesneil wildfire risk explained
USFS's Wildfire Risk to Communities model puts Colmesneil at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 448 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Colmesneil's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Colmesneil: 67.2% of its 448 buildings, versus 32.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Colmesneil against the rest of the country
Inside Texas, Colmesneil sits at just the 56th percentile even though it scores 78th 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, Colmesneil ranks 6,910 for wildfire risk (1 is highest) and 18,321 by building count (1 is largest). Within Texas alone, it ranks 789 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Colmesneil
Colmesneil's 78th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Colmesneil
Because Direct exposure dominates in Colmesneil (67.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Colmesneil's figures come from
The methodology guide shows exactly how USFS turned 448 counted buildings into the percentiles shown above for Colmesneil. The exposure-zones guide covers what Colmesneil's dominant direct exposure actually means, with real examples from across the dataset.