Toronto, KS
How exposed is Toronto to wildfire?
Toronto sits at the 91st 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 326 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Toronto at the 91st percentile, close to its 91st-percentile risk score.
Where Toronto's buildings actually sit
58.6% of Toronto's 326 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 41.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Toronto compares
Toronto's risk sits at a similar level relative to Kansas (92nd percentile statewide) as it does nationally (91st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Toronto ranks 2,802 for wildfire risk (1 is highest) and 20,920 by building count (1 is largest). Within Kansas alone, it ranks 62 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Toronto
At the 91st percentile nationally, Toronto carries the very 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.
What would actually reduce this score
Because 58.6% of Toronto's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Toronto's figures come from
Toronto's 91st-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 Toronto's dominant indirect exposure actually means, with real examples from across the dataset.