Houston → Buenos Aires flights

Target $496 or less — and watch for sub-$260 fare windows

Key takeaways

• Median fare is $496 across 14 daily snapshots — a reasonable anchor for budgeting this route.
• The low hit $257, meaning bottom-quartile fares (p25) can match that floor — roughly half the typical price.
• Spread of 104% between low and high signals extreme volatility; patience or flexibility can yield outsized savings.
• The high was $524, so the ceiling isn't dramatically above the median — most of the variance lives on the low end.
• Sample size is only 14 days — treat these figures as directional, not definitive; monitor fares over several weeks before booking.

30-day price trend

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

The full picture

The Houston (IAH) to Buenos Aires (EZE) route shows an unusually wide price distribution for a sample of this size. With a median of $496 and a high of only $524, the upper range is fairly compressed — you're unlikely to get badly burned waiting a few days to book. The real story is the downside: fares touched $257, and the bottom quartile sits at that same floor, meaning genuine sale inventory does appear on this route, not just one-off anomalies. A spread of 104% is large by any measure, and it points to a route where promotional fares periodically undercut the norm by a substantial margin.

For booking timing, the data doesn't resolve a clean advance-purchase window, but the extreme low relative to the median suggests these cheap fares are episodic rather than persistent — they appear, sell through, and reset toward the $490–$524 band. The practical implication: set a fare alert at or below $350 and be ready to book within 24–48 hours of a drop. Waiting for the absolute floor is risky given the thin inventory that likely accompanies it.

No dominant carrier pattern is identifiable from this dataset, and with only 14 snapshot days the data is directionally useful but statistically thin. Before committing to a travel date, it's worth monitoring this route for at least two to three additional weeks to confirm whether the low-fare windows recur on any discernible schedule. One honest caveat: a 104% spread on 14 observations could partly reflect data noise — one or two outlier fares can distort the picture when the sample is this small.

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