Glazier, TX
Glazier wildfire risk explained
Glazier sits at the 99th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 78 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Glazier's burn probability — fire likelihood with no building count factored in — sits at the 100th percentile nationally.
Where Glazier's buildings actually sit
78 buildings are counted in Glazier, and 74.4% 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.
Glazier against the rest of the country
Glazier scores 99th nationally and 100th within Texas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Glazier ranks 296 for wildfire risk (1 is highest) and 29,988 by building count (1 is largest). Within Texas alone, it ranks 11 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
Glazier's 99th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Glazier's 74.4% 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 Glazier's figures come from
The methodology guide shows exactly how USFS turned 78 counted buildings into the percentiles shown above for Glazier. The exposure-zones guide covers what Glazier's dominant direct exposure actually means, with real examples from across the dataset.