Winfield, AL
Winfield wildfire risk explained
Winfield sits at the 63rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 3,061 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Winfield's burn probability — fire likelihood with no building count factored in — sits at the 65th percentile nationally.
Where Winfield's buildings actually sit
67.3% of Winfield's 3,061 buildings sit in USFS's Direct exposure zone, roughly 2,059 structures close enough to burnable vegetation for flame contact, not just embers — 32.7% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Winfield ranks
Winfield ranks lower within Alabama (32nd percentile statewide) than its 63rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Winfield ranks 11,774 for wildfire risk (1 is highest) and 5,342 by building count (1 is largest). Within Alabama alone, it ranks 406 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Shopping for coverage in Winfield
At the 63rd percentile nationally, Winfield carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Winfield's 67.3% 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 Winfield's figures come from
The methodology guide shows exactly how USFS turned 3,061 counted buildings into the percentiles shown above for Winfield. The exposure-zones guide covers what Winfield's dominant direct exposure actually means, with real examples from across the dataset.