Cut and Shoot, TX
How exposed is Cut and Shoot to wildfire?
Cut and Shoot's 673 buildings earn a 68th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cut and Shoot at the 69th percentile, close to its 68th-percentile risk score.
Cut and Shoot's building exposure, zone by zone
USFS classifies 80.7% of Cut and Shoot's buildings as Direct exposure, higher than its 19.3% Indirect share and far above its 0% Minimal share — a profile where 543 structures sit close enough to vegetation that lot clearing matters most.
How Cut and Shoot compares
Cut and Shoot's 68th national percentile looks worse in isolation than its 25th ranking inside Texas does — this place is on the milder end for its own state, by 42 points. Among the 31,521 US communities USFS scores, Cut and Shoot ranks 10,258 for wildfire risk (1 is highest) and 14,947 by building count (1 is largest). Within Texas alone, it ranks 1,341 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
Cut and Shoot's high rating (68th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With 80.7% of Cut and Shoot in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Cut and Shoot's figures come from
The methodology guide shows exactly how USFS turned 673 counted buildings into the percentiles shown above for Cut and Shoot. The exposure-zones guide covers what Cut and Shoot's dominant direct exposure actually means, with real examples from across the dataset.