WildfireRiskFinder

Impact, TX

Impact, TX's wildfire risk, in USFS's own numbers

Very High
81stpercentile nationally

Out of every US place USFS scores, Impact lands at the 81st percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 27 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Impact's burn probability — fire likelihood with no building count factored in — sits at the 79th percentile nationally.

Impact's building exposure, zone by zone

27Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

27 buildings are counted in Impact, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

Impact against the rest of the country

Impact's 81st national percentile looks worse in isolation than its 65th ranking inside Texas does — this place is on the milder end for its own state, by 17 points. Among the 31,521 US communities USFS scores, Impact ranks 5,878 for wildfire risk (1 is highest) and 31,396 by building count (1 is largest). Within Texas alone, it ranks 637 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Shopping for coverage in Impact

Impact's very high rating (81st 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

Impact's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Impact's figures come from

The methodology guide shows exactly how USFS turned 27 counted buildings into the percentiles shown above for Impact. The exposure-zones guide covers what Impact's dominant direct exposure actually means, with real examples from across the dataset.