Seattle → Lima flights

Seattle–Lima fares held flat at $656 — no timing edge detected

Key takeaways

• $656 was the price on every one of the 5 snapshots checked — no movement at all
• 0% spread means this sample shows no low-price window to chase
• Only 5 days sampled, so this likely reflects a single cached fare rather than real market volatility
• No carrier data visible, so no airline-specific pattern can be claimed
• Treat $656 as a reference point rather than a floor or ceiling for this route

30-day price trend

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

The full picture

The data here is unusually flat: all 5 snapshots returned the exact same fare of $656 for Seattle to Lima, producing a 0% spread. In a typical route, we'd expect at least some daily fluctuation as fare caches update, seat inventory shifts, or currency and fuel surcharges tick up or down. Seeing identical numbers across every snapshot suggests this sample may be capturing a cached or infrequently-updated price rather than true day-to-day market movement.

Because of that, we can't responsibly point to a booking window where prices soften — there's simply no variation to analyze. With most routes, softening tends to show up as a widening gap between the p25 and p75 figures over a longer window, but here those values are identical to the median and to each other. That tells you more about the limits of this particular dataset than about the actual pricing behavior of airlines flying SEA–LIM.

We also have no visibility into a dominant carrier for this route in the data provided, so we can't speak to whether one airline is consistently cheaper or whether seasonal demand (holiday travel, Peruvian tourism peaks, etc.) would move this number. The honest takeaway: $656 is a real observed price point, and a reasonable budget anchor for planning — but with only 5 samples and zero spread, this read is too thin to generate the kind of day-of-week or booking-horizon guidance we'd normally offer. Travelers should treat it as a starting reference and check current fares closer to their travel dates rather than timing a purchase based on this data alone.

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