WildfireRiskFinder

Lamkin, TX

Lamkin wildfire risk explained

Very High
92ndpercentile nationally

Lamkin's 74 buildings earn a 92nd-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lamkin at the 92nd percentile, close to its 92nd-percentile risk score.

What "at risk" means for the buildings here

74Total buildings
98.7%Direct exposure
1.4%Indirect exposure
0%Minimal exposure

USFS classifies 98.7% of Lamkin's buildings as Direct exposure, higher than its 1.4% Indirect share and far above its 0% Minimal share — a profile where 73 structures sit close enough to vegetation that lot clearing matters most.

Where Lamkin ranks

There's little gap between Lamkin's 92nd national percentile and its 89th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lamkin ranks 2,595 for wildfire risk (1 is highest) and 30,150 by building count (1 is largest). Within Texas alone, it ranks 203 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 92nd percentile nationally, Lamkin 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.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Lamkin (98.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Lamkin's figures come from

The methodology guide shows exactly how USFS turned 74 counted buildings into the percentiles shown above for Lamkin. The exposure-zones guide covers what Lamkin's dominant direct exposure actually means, with real examples from across the dataset.