Meadow, TX
How exposed is Meadow to wildfire?
Out of every US place USFS scores, Meadow lands at the 33rd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 369 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Meadow at the 28th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Meadow's buildings actually sit
Only 30.9% of Meadow's 369 buildings carry Direct exposure and 0% carry Indirect; the remaining 69.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Meadow against the rest of the country
Meadow ranks lower within Texas (3rd percentile statewide) than its 33rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Meadow ranks 21,194 for wildfire risk (1 is highest) and 19,894 by building count (1 is largest). Within Texas alone, it ranks 1,751 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
Meadow's moderate rating (33rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 69.1% of Meadow 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 Meadow's figures come from
Meadow's 33rd-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 Meadow's dominant minimal exposure actually means, with real examples from across the dataset.