Seattle → Toronto flights

Target $160–$185 on Seattle–Toronto — and avoid peak spikes

Key takeaways

• Median fare is $185, based on 30 daily snapshots of the cheapest available fares on this route.
• Bottom-quartile fares reach $160 (p25), meaning roughly one in four observed prices fell at or below that level — a realistic target for patient shoppers.
• The low recorded was $136, but at the other extreme prices spiked to $392, so the route carries real volatility.
• Spread of 188% between low and high signals this route is highly price-variable — timing your search matters more than on stable routes.
• Set a $200 alert: fares below that threshold represent better-than-median value and appear frequently enough to be a credible target.

30-day price trend

See full numbers and stats on the SEA → YYZ price history page.

The full picture

Seattle–Toronto fares in our 30-day snapshot window range from a floor of $136 to a ceiling of $392 — a spread of 188%, which is wide by any standard. The median of $185 and the interquartile range of $160–$245 tell a more useful story: the "normal" fare corridor sits comfortably below $250, and prices in the low-to-mid $100s are achievable, just not guaranteed. If you catch the route near its p25 of $160, you're doing measurably better than half the market.

On a route with this much price dispersion, the booking horizon matters considerably. Wide spreads like this typically reflect a mix of advance-purchase fares being released and then repriced as seats fill. The practical implication: fares in the $160–$185 range tend to appear earliest in the booking window, before demand pressure pushes prices toward or above the $245 p75 threshold. Waiting until close to departure on a leisure-heavy transcon like Seattle–Toronto is a risk this data doesn't support taking — the upside is limited and the downside (fares above $300) is well-documented in the sample.

No dominant carrier was identifiable from the available data, so carrier-specific booking strategies aren't something we can responsibly recommend here. Day-of-week departure patterns are similarly outside the scope of this dataset. One honest caveat: 30 snapshots capture a single rolling window and may not reflect seasonal shifts — summer and holiday periods on this route historically compress available inventory, which would push observed fares higher than what this snapshot median suggests.

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