Hackberry, TX
How exposed is Hackberry to wildfire?
Out of every US place USFS scores, Hackberry lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 1,131 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hackberry's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
Hackberry's building exposure, zone by zone
Most of Hackberry's buildings (92.1% of 1,131) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Hackberry against the rest of the country
Hackberry ranks lower within Texas (5th percentile statewide) than its 48th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Hackberry ranks 16,435 for wildfire risk (1 is highest) and 11,078 by building count (1 is largest). Within Texas alone, it ranks 1,697 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Hackberry
Hackberry's elevated wildfire rating (48th 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.
Lowering exposure, not just insuring around it
With 92.1% of buildings rated Minimal exposure, Hackberry gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Hackberry's figures come from
Hackberry's 48th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Hackberry's dominant minimal exposure actually means, with real examples from across the dataset.