Crowell, TX
Crowell wildfire risk explained
Out of every US place USFS scores, Crowell lands at the 78th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 868 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Crowell at the 72nd percentile, close to its 78th-percentile risk score.
Where Crowell's buildings actually sit
USFS puts 75.6% of Crowell's 868 buildings in the Indirect exposure zone, versus 24.4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Crowell ranks
Crowell ranks lower within Texas (55th percentile statewide) than its 78th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Crowell ranks 7,070 for wildfire risk (1 is highest) and 13,008 by building count (1 is largest). Within Texas alone, it ranks 816 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Crowell
Crowell'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.
What would actually reduce this score
With ember exposure the dominant pattern in Crowell (75.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Crowell's figures come from
Every one of the two percentiles behind Crowell's 7,070-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Crowell's dominant indirect exposure actually means, with real examples from across the dataset.