Fairchilds, TX
Fairchilds wildfire risk explained
Fairchilds sits at the 58th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 591 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fairchilds's burn probability — fire likelihood with no building count factored in — sits at the 61st percentile nationally.
Where Fairchilds's buildings actually sit
Of Fairchilds's 591 counted buildings, 78.5% carry Direct exposure and only 20.6% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Fairchilds ranks
Fairchilds's 58th national percentile looks worse in isolation than its 13th ranking inside Texas does — this place is on the milder end for its own state, by 46 points. Among the 31,521 US communities USFS scores, Fairchilds ranks 13,128 for wildfire risk (1 is highest) and 15,955 by building count (1 is largest). Within Texas alone, it ranks 1,568 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Fairchilds
Fairchilds's elevated wildfire rating (58th 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
Fairchilds's 78.5% 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 Fairchilds's figures come from
Fairchilds's 58th-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 Fairchilds's dominant direct exposure actually means, with real examples from across the dataset.