Uncertain, TX
Uncertain, TX's wildfire risk, in USFS's own numbers
Uncertain's 194 buildings earn a 66th-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 Uncertain at the 66th percentile, close to its 66th-percentile risk score.
Uncertain's building exposure, zone by zone
USFS classifies 86.1% of Uncertain's buildings as Direct exposure, higher than its 13.9% Indirect share and far above its 0% Minimal share — a profile where 167 structures sit close enough to vegetation that lot clearing matters most.
Uncertain against the rest of the country
Inside Texas, Uncertain sits at just the 23rd percentile even though it scores 66th 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, Uncertain ranks 10,794 for wildfire risk (1 is highest) and 25,103 by building count (1 is largest). Within Texas alone, it ranks 1,395 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Uncertain and the insurance market
At the 66th percentile nationally, Uncertain carries the 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.
Hardening a home in Uncertain
Because Direct exposure dominates in Uncertain (86.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Uncertain's figures come from
Every one of the two percentiles behind Uncertain's 10,794-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Uncertain's dominant direct exposure actually means, with real examples from across the dataset.