New York → Bogotá flights

Typical fare is $227 — most days price near the floor

Key takeaways

• Median fare of $227 across the 12-day sample, matching the observed low — meaning most snapshots priced at or near the cheapest fare seen.
• Bottom quartile (p25) is also $227, suggesting cheap fares aren't rare outliers but a common price point.
• Top quartile reaches $247, with the overall high capped at $281 — spikes exist but aren't extreme.
• 24% spread between low and high is moderate — enough variability to reward comparison shopping, not enough to suggest wild swings.
• Sample size is thin (12 days) — treat these as directional patterns, not guarantees.

30-day price trend

See full numbers and stats on the JFK → BOG price history page.

The full picture

The JFK–Bogotá route shows a fairly tight pricing band: a $227 median that matches both the observed low and the 25th percentile, with the bulk of fares clustering close to that floor. The high end of $281 represents roughly a 24% premium over the cheapest fares — a moderate spread that suggests occasional demand-driven upticks rather than frequent volatility. For travelers, this is a reassuring signal: in this sample, the 'typical' fare and the 'cheap' fare are nearly the same number.

With only 12 daily snapshots, we can't map a full booking curve or pinpoint exactly when within a multi-month horizon prices soften most reliably. What we can say is that fares at or near $227 appeared often enough to anchor the median there, while the $247–$281 range likely reflects a smaller subset of snapshots — possibly tied to shifts in search proximity to travel dates or temporary demand spikes. Without carrier-level visibility in this dataset, we can't attribute these swings to a specific airline's pricing behavior.

The practical takeaway: if you see a fare near $227, you're likely at or very close to the going rate for this route, and waiting for a dramatically better deal may not pay off given the modest spread. That said, a 12-day sample is thin — not enough to confirm seasonal patterns, weekday effects, or long-term booking-window trends with confidence. Treat this as a useful snapshot of current pricing behavior, not a definitive forecast.

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