Seattle → Hong Kong flights

Median sits at $454 — bottom quartile fares run $441 or less

Key takeaways

• Median fare of $454 is a solid benchmark for a fair price on this route
• 25% of fares came in at $441 or below — that's your target zone for a good deal
• Spread of 173% between low and high ($320–$873) signals real volatility, not a stable market
• Fares above $515 (p75) are on the expensive side — worth waiting or adjusting dates
• Sample of 29 daily snapshots gives a reasonably solid read on typical pricing behavior

30-day price trend

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

The full picture

Over 29 days of tracked fares, Seattle to Hong Kong shows a median price of $454, with a bottom quartile (p25) at $441 and a top quartile (p75) at $515. That's a workable range for planning: if you see something at or below $441, that's a genuinely good fare relative to what this route typically runs. Anything creeping past $515 is on the pricier end of normal, and the $873 high we observed shows this route can spike well beyond typical pricing during at least one snapshot.

The 173% spread between the $320 low and $873 high is wide, which tells us this isn't a market with tightly clustered pricing — outliers in both directions are real possibilities. That said, the fact that the median ($454) sits fairly close to the p25 value ($441) suggests that most fares cluster in a reasonably tight band just above the low end, with the high-end outliers pulling the range wider without necessarily being common. In practice, this means the $441–$515 window is where you should expect to land most of the time, even though the full range is much broader.

We don't have carrier-level visibility in this dataset, so we can't speak to whether a specific airline is driving the low fares or the spikes. We also can't respons­ibly point to specific booking windows or days of the week as reliably cheaper — that kind of pattern isn't established by 29 daily snapshots of cached fares. What we can say is that this route runs volatile enough that comparison-shopping across multiple dates matters more than usual: given the size of the spread, patience and flexibility are likely to pay off more than trying to time a particular day.

Caveat: with 29 samples, this is a decent but not exhaustive picture — it reflects roughly a month of pricing, not a full seasonal cycle, so shifts in demand (holidays, school breaks) aren't captured here.

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