WildfireRiskFinder

Bagley, WI

Bagley wildfire risk explained

Moderate
31stpercentile nationally

Out of every US place USFS scores, Bagley lands at the 31st percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 484 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bagley at the 32nd percentile, close to its 31st-percentile risk score.

Where Bagley's buildings actually sit

484Total buildings
11%Direct exposure
88.2%Indirect exposure
0.8%Minimal exposure

88.2% of Bagley's 484 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 11% Direct and 0.8% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Where Bagley ranks

Compare Bagley's two percentiles: 68th within Wisconsin, only 31st nationally — a gap of 37 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Bagley ranks 21,701 for wildfire risk (1 is highest) and 17,641 by building count (1 is largest). Within Wisconsin alone, it ranks 258 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Bagley and the insurance market

Bagley's moderate rating (31st 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

With ember exposure the dominant pattern in Bagley (88.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Bagley's figures come from

Bagley's 31st-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 Bagley's dominant indirect exposure actually means, with real examples from across the dataset.