Boston → Honolulu flights

Boston–Honolulu: median $309, but sample size is thin

Key takeaways

• $309 median fare across the observed window, with a range of $232–$344
• Bottom quartile fares sit at or below $278 — a reasonable target if you can be flexible
• Top quartile fares start at $339, close to the $344 high, so the upper end is fairly compressed
• 48% spread between low and high shows real volatility worth monitoring rather than booking on impulse
• Only 12 data points sampled — this is a thinner window than ideal, so treat patterns as directional, not definitive

30-day price trend

See full numbers and stats on the BOS → HNL price history page.

The full picture

The data shows a fairly wide spread for this route — a 48% gap between the $232 low and $344 high, with a median of $309. That spread suggests fares on this route move around enough that waiting for a dip below the $278 bottom-quartile mark is a reasonable strategy if your dates are flexible. At the same time, the top quartile ($339 and up) is tightly bunched near the observed high, meaning the worst-case pricing doesn't blow out much further than what we've already seen.

With only 12 snapshots, we can't responsibly draw conclusions about a specific booking window — whether 3 weeks out or 3 months out tends to be cheaper on this route isn't something this sample can support. What we can say is that the bottom quartile ($278) represents a realistic, evidence-based target: fares have reached that level recently, so it's not a fantasy number, but it's also not the norm. Budgeting around the median of $309 is the more defensible default if you need to lock in a date without extensive monitoring.

No dominant carrier was visible in the data, so we can't speak to airline-specific pricing patterns or whether one carrier is driving the lower end of the range. The honest caveat here is sample size: 12 daily snapshots is enough to sketch a rough price band, but not enough to make confident claims about timing, day-of-week effects, or seasonal trends. Treat the $278–$339 range as your working window, watch for a handful of days near or below $278, and avoid over-indexing on any single data point given how few we have to work with.

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