Key Takeaways
- In 2023, 21.3% of US domestic flights arrived more than 15 minutes late, according to the Bureau of Transportation Statistics
- The average flight delay for all US carriers in Q4 2023 was 24 minutes, impacting over 150,000 flights
- Southwest Airlines reported an on-time performance of 78.6% in 2023, meaning 21.4% delays over 14 minutes
- Weather caused 15.9% of US delays in 2023, per BTS
- Air traffic control issues led to 12.4% of delays in US 2023
- National Aviation System (NAS) delays accounted for 7.6% of total in Q4 2023 US
- JFK airport experienced 32% delays in 2023 due to congestion
- ATL (Hartsfield-Jackson) had 28.5% delay rate, averaging 31 minutes in 2023
- LAX delays reached 29.2% in 2023, worst on West Coast
- Delta Air Lines topped on-time with 84.2% in 2023 US
- Southwest worst major carrier at 76.5% on-time 2023
- American Airlines 82.1% on-time, delays averaged 21 min 2023
- US flight delays cost airlines $52.3 billion in 2023
- Passengers spent 1.2 billion extra hours delayed in US 2023
- Average passenger compensation for EU delays over 3hrs: €600 in 2023 claims
US flight delays in 2023 were frequent and costly, impacting one in five travelers.
Airline Performance
Airline Performance Interpretation
Airport-Specific Statistics
Airport-Specific Statistics Interpretation
Causes of Delays
Causes of Delays Interpretation
Delay Rates and Averages
Delay Rates and Averages Interpretation
Economic and Passenger Impacts
Economic and Passenger Impacts Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Flight Delay Statistics. Gitnux. https://gitnux.org/flight-delay-statistics
Priya Chandrasekaran. "Flight Delay Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/flight-delay-statistics.
Priya Chandrasekaran. 2026. "Flight Delay Statistics." Gitnux. https://gitnux.org/flight-delay-statistics.
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