Chicago → Budapest flights

Chicago–Budapest fares cluster near $321, with occasional spikes to $480

Key takeaways

• Median fare sits at $321, and that figure also matches both the p25 and p75 marks — most observed prices cluster tightly around it.
• High outlier of $480 shows occasional spikes well above the typical fare.
• 50% spread between low and high signals real volatility despite the tight middle quartiles.
• Only 8 snapshots collected — too thin to call firm day-of-week or seasonal patterns.
• No dominant carrier was identifiable from this data set, so airline-specific booking advice isn't supported.

30-day price trend

See full numbers and stats on the ORD → BUD price history page.

The full picture

The data shows a median fare of $321 for Chicago to Budapest, and notably, the p25 and p75 values match that same $321 figure — meaning the bulk of observed fares were identical or very close to the median, with little variation in the 'typical' range. The real story is the $480 high: a single spike (or small handful of spikes) that pulls the overall spread to 50%, even though most snapshots look clustered and stable. This pattern suggests that travelers who catch fares at or near the median are getting a representative deal, while the $480 figure likely reflects a specific date or booking window where availability tightened.

With only 8 snapshots in this sample, we can't responsibly point to a specific softening window within the booking horizon — the data simply doesn't have the density to support that kind of claim. What we can say is that the tight clustering around $321 suggests this may be close to a fare floor for the route, and the $480 outlier is a useful ceiling to watch for and avoid if possible. Treat $321 as a reasonable target price when shopping this route, and treat anything approaching $480 as a signal to wait or check alternate dates.

No dominant carrier emerged clearly from this data, so we can't speak to airline-specific pricing behavior or seat-sale patterns on this route. The honest caveat here is sample size: 8 data points is thin for a 30-day rolling window, and conclusions about timing or volatility should be treated as directional rather than definitive until more snapshots are collected.

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