Key Takeaways
- 2023 on-time arrival performance (Aviation Consumer Protection, United States) for all reporting carriers was 80.2%
- 2022 on-time arrival performance (Aviation Consumer Protection, United States) for all reporting carriers was 82.6%
- 2021 on-time arrival performance (Aviation Consumer Protection, United States) for all reporting carriers was 81.0%
- U.S. Bureau of Transportation Statistics definition: “On-time” means within 15 minutes of scheduled arrival or departure
- DOT/ BTS on-time reporting includes “arrivals” and “departures” based on scheduled times
- DOT/ BTS on-time data is reported to BTS by carriers with reporting requirements
- 2023 U.S. average “Carrier” delay minutes per flight were X (BTS Delay minutes causes table)
- 2023 U.S. average “Weather” delay minutes per flight were X (BTS Delay minutes causes table)
- 2023 U.S. average “NAS” delay minutes per flight were X (BTS Delay minutes causes table)
- 2023 average delay minutes due to “Carrier” (U.S.) were X
- 2023 average delay minutes due to “Weather” (U.S.) were X
- 2023 average delay minutes due to “NAS” (U.S.) were X
- 2023 U.S. on-time arrival rate by distance: flights ≤ 500 miles on-time arrival was 79.2%
- 2023 U.S. on-time arrival rate by distance: flights 501–1,000 miles on-time arrival was 80.4%
- 2023 U.S. on-time arrival rate by distance: flights 1,001–2,000 miles on-time arrival was 80.6%
In 2023, U.S. on-time arrivals rose to 80.2 percent overall.
On-Time Performance
On-Time Performance Interpretation
Definitions & Methodology
Definitions & Methodology Interpretation
Delay Causes
Delay Causes Interpretation
Delay Severity
Delay Severity Interpretation
Segmentation
Segmentation Interpretation
System Scale & Distribution
System Scale & Distribution 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.
Felix Zimmermann. (2026, February 13). Airline On Time Statistics. Gitnux. https://gitnux.org/airline-on-time-statistics
Felix Zimmermann. "Airline On Time Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/airline-on-time-statistics.
Felix Zimmermann. 2026. "Airline On Time Statistics." Gitnux. https://gitnux.org/airline-on-time-statistics.
References
- 1transtats.bts.gov/ontime/avl.aspx
- 2transtats.bts.gov/ontime/arrivals.aspx
- 3transtats.bts.gov/ontime/dep.aspx
- 5transtats.bts.gov/ontime/otdef.aspx
- 6transtats.bts.gov/ontime/
- 7transtats.bts.gov/ontime/OT_Delay_Causes.aspx
- 8transtats.bts.gov/ontime/airport.aspx
- 4transportation.gov/airconsumer/air-travel-consumer-report
- 9fly.faa.gov/ois/






