Miami → Naples flights

MIA–Naples fares hold near $428 — little room to game the system

Key takeaways

• Median fare sits at $428, with a bottom quartile already close behind at $422 — the cheap end isn't far from typical.
• Spread of 30% between low ($354) and high ($461) is moderate, not extreme — occasional deals exist but aren't dramatic.
• 75th percentile is $461, matching the observed high, meaning most fares bunch in a fairly narrow upper band.
• Only 12 daily snapshots were sampled, so this is a thin window — treat patterns as directional, not definitive.
• No dominant carrier was identifiable in this dataset, limiting claims about airline-specific pricing behavior.

30-day price trend

See full numbers and stats on the MIA → NAP price history page.

The full picture

The MIA–Naples route shows a median fare of $428 across a 12-day sample, with prices ranging from a low of $354 to a high of $461. That's a 30% spread — enough to suggest some fares dip meaningfully below typical, but the fact that the 25th percentile ($422) sits just below the median tells a more important story: most of the fares we captured cluster tightly in the $420–$461 range. The $354 low appears to be more of an outlier than a reliable target.

With only 12 snapshots, this dataset is too thin to confidently map out a booking horizon curve — we can't say with precision whether prices soften at 3 weeks out versus 6 weeks out based on this sample alone. What we can say is that the bulk of observed fares (the middle 50%, from $422 to $461) suggests a fairly stable pricing environment during the window we tracked, rather than one with frequent steep discounts. If you're booking this route, treating $428 as your benchmark and treating anything near or below $422 as a reasonable deal is a defensible approach given the data.

We don't have enough signal here to identify a dominant carrier or any meaningful day-of-week effect, so we won't speculate on either. The honest caveat: a 12-day sample is small, and the $354 low could reflect a one-off fare sale, a data anomaly, or a genuinely cheaper routing that didn't recur. Treat this analysis as a snapshot of recent conditions rather than a seasonal or long-term pricing pattern — revisit with a larger sample before making high-stakes timing decisions.

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