Redwood, TX
Redwood wildfire risk explained
Redwood's 1,778 buildings earn a 71st-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Redwood at the 70th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
1,778 buildings are counted in Redwood, and 92.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Redwood against the rest of the country
Inside Texas, Redwood sits at just the 34th percentile even though it scores 71st 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, Redwood ranks 9,186 for wildfire risk (1 is highest) and 8,133 by building count (1 is largest). Within Texas alone, it ranks 1,196 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Redwood
Redwood's 71st-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.
Lowering exposure, not just insuring around it
Redwood's 92.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Redwood's figures come from
Every one of the two percentiles behind Redwood's 9,186-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Redwood's dominant direct exposure actually means, with real examples from across the dataset.