Double Oak, TX
How exposed is Double Oak to wildfire?
Double Oak's 1,383 buildings earn a 74th-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 Double Oak at the 73rd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Double Oak's building exposure, zone by zone
Of Double Oak's 1,383 counted buildings, 72.8% carry Direct exposure and only 0.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Double Oak ranks
Inside Texas, Double Oak sits at just the 42nd percentile even though it scores 74th 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, Double Oak ranks 8,269 for wildfire risk (1 is highest) and 9,702 by building count (1 is largest). Within Texas alone, it ranks 1,036 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
At the 74th percentile nationally, Double Oak 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.
What would actually reduce this score
With 72.8% of Double Oak 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 Double Oak's figures come from
The methodology guide shows exactly how USFS turned 1,383 counted buildings into the percentiles shown above for Double Oak. The exposure-zones guide covers what Double Oak's dominant direct exposure actually means, with real examples from across the dataset.