Houston → Phuket flights

Houston–Phuket: median $573, but a bottom quartile near $476 exists

Key takeaways

• Median fare sits at $573 across the sampled window
• Bottom-quartile fares dropped to $476, roughly 17% below median
• Full observed range was tight: $476 to $573, a 20% spread
• Sample size is thin — only 12 snapshots, so patterns here are directional, not definitive
• No dominant carrier was identifiable from this data, so no airline-specific booking advice applies

30-day price trend

See full numbers and stats on the IAH → HKT price history page.

The full picture

The data shows a relatively narrow band for this long-haul route: fares ranged from $476 to $573 over 12 daily snapshots, a 20% spread. That's a moderate gap for an intercontinental itinerary like Houston to Phuket — it suggests some price variability exists, but nothing close to the wild swings seen on more volatile routes. The median of $573 is a reasonable anchor for budgeting, with the bottom quartile ($476) representing the kind of fare worth jumping on if you spot it.

With only 12 snapshots, we can't responsibly claim a specific booking window within this cycle softens prices — the sample simply isn't large enough to isolate a reliable pattern of when fares dip versus rise. What we can say is that the $476–$573 range gives you a concrete target: if you're pricing out this trip and see something at or below the p25 mark of $476, that's a genuinely good fare relative to what we've observed. Anything near the $573 median is fair but unremarkable.

No dominant carrier emerged clearly from this dataset, so we can't speak to airline-specific pricing behavior or whether one carrier consistently undercuts others on this route. The honest caveat here is twofold: a 12-day sample is thin for a route this long-haul and likely infrequent in search volume, and a 20% spread, while not negligible, isn't dramatic enough to justify aggressive timing strategies. Treat the $476–$573 range as your working budget, prioritize flexibility if your dates allow it, and don't expect to engineer savings much below the bottom quartile based on this data alone.

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