Timpson, TX
Timpson wildfire risk explained
USFS scores Timpson at the 69th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 820 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Timpson at the 71st percentile, close to its 69th-percentile risk score.
What "at risk" means for the buildings here
USFS puts 54.9% of Timpson's 820 buildings in the Indirect exposure zone, versus 45.1% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Timpson ranks
Timpson's 69th national percentile looks worse in isolation than its 30th ranking inside Texas does — this place is on the milder end for its own state, by 40 points. Among the 31,521 US communities USFS scores, Timpson ranks 9,658 for wildfire risk (1 is highest) and 13,455 by building count (1 is largest). Within Texas alone, it ranks 1,266 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Timpson
Timpson's 69th-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 Timpson
Timpson's 54.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Timpson's figures come from
Timpson's 69th-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 Timpson's dominant indirect exposure actually means, with real examples from across the dataset.