Galena Park, TX
How exposed is Galena Park to wildfire?
USFS scores Galena Park at the 50th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 4,112 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Galena Park's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
What "at risk" means for the buildings here
USFS classifies 98.7% of Galena Park's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 1.3% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Galena Park compares
Galena Park's 50th national percentile looks worse in isolation than its 6th ranking inside Texas does — this place is on the milder end for its own state, by 44 points. Among the 31,521 US communities USFS scores, Galena Park ranks 15,836 for wildfire risk (1 is highest) and 4,133 by building count (1 is largest). Within Texas alone, it ranks 1,686 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Galena Park and the insurance market
Galena Park's elevated wildfire rating (50th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Even with 98.7% of Galena Park outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Galena Park's figures come from
The methodology guide shows exactly how USFS turned 4,112 counted buildings into the percentiles shown above for Galena Park. The exposure-zones guide covers what Galena Park's dominant minimal exposure actually means, with real examples from across the dataset.