Hudson Oaks, TX
How exposed is Hudson Oaks to wildfire?
USFS's Wildfire Risk to Communities model puts Hudson Oaks at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,390 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hudson Oaks at the 84th percentile, close to its 83rd-percentile risk score.
Where Hudson Oaks's buildings actually sit
62.7% of Hudson Oaks's 1,390 buildings sit in USFS's Direct exposure zone, roughly 871 structures close enough to burnable vegetation for flame contact, not just embers — 17.6% fall in the Indirect, ember-only zone and 19.8% are Minimal.
Hudson Oaks against the rest of the country
Hudson Oaks's risk sits at a similar level relative to Texas (70th percentile statewide) as it does nationally (83rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hudson Oaks ranks 5,274 for wildfire risk (1 is highest) and 9,673 by building count (1 is largest). Within Texas alone, it ranks 543 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Hudson Oaks
Hudson Oaks's very high rating (83rd 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 62.7% of Hudson Oaks 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 Hudson Oaks's figures come from
The methodology guide shows exactly how USFS turned 1,390 counted buildings into the percentiles shown above for Hudson Oaks. The exposure-zones guide covers what Hudson Oaks's dominant direct exposure actually means, with real examples from across the dataset.