Hickory Creek, TX
Hickory Creek wildfire risk explained
USFS scores Hickory Creek at the 56th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 2,095 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hickory Creek at the 57th percentile, close to its 56th-percentile risk score.
Where Hickory Creek's buildings actually sit
USFS classifies 61.5% of Hickory Creek's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 38.5% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Hickory Creek against the rest of the country
Hickory Creek ranks lower within Texas (11th percentile statewide) than its 56th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Hickory Creek ranks 13,753 for wildfire risk (1 is highest) and 7,209 by building count (1 is largest). Within Texas alone, it ranks 1,597 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Hickory Creek
At the 56th national percentile, Hickory Creek rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Hickory Creek's 61.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Hickory Creek's figures come from
Hickory Creek's 56th-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 Hickory Creek's dominant minimal exposure actually means, with real examples from across the dataset.