Miami → Washington flights

MIA–DCA runs ~$92 median — fares are tight most of the time

Key takeaways

• Median fare sits at $92, a solid baseline for budgeting this route
• Bottom quartile ($89) and top quartile ($93) are just $4 apart, meaning most days price nearly identically
• High outlier of $122 shows occasional spikes well above typical pricing
• Low of $85 suggests modest savings are possible but not dramatic
• Only 12 days of snapshots were sampled, so treat patterns as directional, not definitive

30-day price trend

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

The full picture

The data shows a fairly narrow band of pricing for Miami to Washington, with a median fare of $92 and the middle 50% of fares (p25–p75) packed tightly between $89 and $93. That's a strong signal this route doesn't see the kind of wild day-to-day swings you might expect on more volatile markets. The $44% spread percentage looks larger than the quartile range suggests, which tells us the variation is being driven by a small number of outlier days rather than a broad, even distribution of prices.

That outlier effect shows up clearly at the top end: the $122 high is meaningfully above the $93 top quartile, suggesting occasional fare spikes — possibly tied to specific high-demand travel dates or last-minute availability crunches — rather than a gradual climb as departure nears. Because we only have 12 days of snapshots, we can't confidently map these spikes to a particular point in the booking window. What we can say is that the bulk of observed fares cluster close to the median, so travelers booking on a 'typical' day are likely to land near $90–93 regardless of exactly when they book within the window we observed.

We don't have enough carrier-level detail in this dataset to identify a dominant airline or attribute the spikes to a specific operator's pricing behavior. Given the small sample size and the tight interquartile range, the most defensible takeaway is that this route is relatively stable and inexpensive, with limited upside from trying to time a booking precisely — the real risk is simply avoiding the less common high-price days rather than chasing a theoretical low. Honest caveat: with only 12 data points, this snapshot can't rule out seasonal or event-driven effects that a longer observation window might reveal.

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