Graph and download economic data for Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (RPM) from Jan 2000 to Feb 2025 about flight, miles, passenger, air travel, travel, revenue, domestic, and USA.

Graph and download economic data for Air Revenue Passenger Miles (AIRRPMTSID11) from Jan 2000 to Feb 2025 about miles, passenger, air travel, travel, revenue, and USA.

In the fiscal year of 2024, Southwest Airlines transported passengers on a total of 142.51 billion revenue passenger miles. This value was an increase in comparison to the 136.26 billion revenue passenger miles recorded in 2023.

In the fiscal year of 2023, Delta Air Lines’ revenue passenger miles came to around 232.2 billion. The company's revenue passenger miles incrementally increased over the past decade, before experiencing a sudden decline as a result of the COVID-19 pandemic in 2020. What are revenue passenger miles? The result of multiplying the number of revenue-paying passengers by the distance traveled is referred as revenue passenger miles (or kilometers). Thus, one revenue passenger mile is approximately equal to one revenue-paying passenger transported one mile. An increase in revenue passenger miles is positive for an airline, as it means that more passengers are using its service. The U.S. airline industry saw an increase in total RPMs' over the last decade until the coronavirus pandemic, when decreased from roughly 1.1 trillion U.S. dollars to approximately 378 billion U.S. dollars . In 2021, the company's RPM stared increasing again. Delta's RPM in comparison When contrasted with the over 272 billion available seat miles Delta had in 2023, it is apparent that Delta has a high load factor, meaning that the company is efficient at selling seats and generating income. The airline's income was at 4.6 billion U.S. dollars in that same period. Looking at Delta's main competitors: American Airlines has a higher RPM (at just under 216 billion), while Southwest trails behind with approximately 124 billion U.S. dollars.

This statistic illustrates the total number of revenue passenger miles (RPMs) of U.S. airlines between 2004 and 2021. U.S. airlines reported 699 billion RPMs on domestic and international flights in 2021.

Graph and download economic data for Domestic Revenue Passenger Miles (RPMs), Scheduled Passenger Flights (RPMD) from Jan 2000 to Dec 2024 about flight, miles, passenger, revenue, domestic, and USA.

In the fiscal year of 2022, American Airlines transported passengers on about 215.6 billion miles. This was a significant increase compared to the previous year as the aviation industry recovered from the COVID-19 pandemic.

This statistic depicts Frontier Airlines' revenue passenger miles from 2004 to 2020. In 2020, the American regional airline carried passengers on only 11.43 billion passenger miles on its domestic and international flights.

United States - Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights was 94084274.00000 Thous. in February of 2025, according to the United States Federal Reserve. Historically, United States - Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights reached a record high of 96393948.00000 in December of 2024 and a record low of 2913566.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights - last updated from the United States Federal Reserve on June of 2025.

United States Air Carrier Traffic: Revenue Passenger Miles data was reported at 95,266,489.000 Unit th in Aug 2018. This records a decrease from the previous number of 99,298,253.000 Unit th for Jul 2018. United States Air Carrier Traffic: Revenue Passenger Miles data is updated monthly, averaging 64,705,364.000 Unit th from Jan 1996 (Median) to Aug 2018, with 272 observations. The data reached an all-time high of 99,298,253.000 Unit th in Jul 2018 and a record low of 38,601,717.000 Unit th in Sep 2001. United States Air Carrier Traffic: Revenue Passenger Miles data remains active status in CEIC and is reported by US Department of Transportation. The data is categorized under Global Database’s United States – Table US.TA008: Air Traffic Statistics.

In the fiscal year of 2022, United Airlines Holdings Inc. transported passengers roughly 206.8 billion miles, almost doubling the previous year's figure when the revenue passenger miles of the company was just under 129 billion.

United States - Domestic Revenue Passenger Miles (RPMs), Scheduled Passenger Flights was 54800088.00000 Thous. in February of 2025, according to the United States Federal Reserve. Historically, United States - Domestic Revenue Passenger Miles (RPMs), Scheduled Passenger Flights reached a record high of 75257468.00000 in July of 2024 and a record low of 2551127.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Domestic Revenue Passenger Miles (RPMs), Scheduled Passenger Flights - last updated from the United States Federal Reserve on June of 2025.

United States - Air Revenue Passenger Miles was 56794861.00000 Thous. in January of 2022, according to the United States Federal Reserve. Historically, United States - Air Revenue Passenger Miles reached a record high of 102295052.00000 in July of 2019 and a record low of 3086778.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Air Revenue Passenger Miles - last updated from the United States Federal Reserve on April of 2025.

This statistic gives the number of international revenue passenger miles (RPMs) of U.S. airlines between 2004 and 2021. U.S. airlines reported over 120.6 billion RPMs on international flights around the world in 2021.

This statistic shows Mesa Airlines' revenue passenger miles from 2004 to 2020. In 2020, the American regional airline carried passengers on only 4.3 billion passenger miles on its domestic and international flights.

In the fiscal year of 2023, Air Canada recorded roughly 85.8 billion revenue passenger miles (RPMs), significantly up from 66.5 billion RPMS recorded in the previous year. Over the period given, the peak was registered at more than 94 billion RPMs in 2019.

Spirit Airlines recorded over 39.8 billion revenue passenger miles in the fiscal year of 2021. The airline was able to increase its passenger miles following a steep drop due to the COVID-19 pandemic in 2021 and exceeded pre-pandemic passenger miles.

Context

Have you taken a flight in the U.S. in the past 15 years? If so, then you are a part of monthly data that the U.S. Department of Transportation's TranStats service makes available on various metrics for 15 U.S. airlines and 30 major U.S airports. Their website unfortunately does not include a method for easily downloading and sharing files. Furthermore, the source is built in ASP.NET, so extracting the data is rather cumbersome. To allow easier community access to this rich source of information, I scraped the metrics for every airline / airport combination and stored them in separate CSV files.

Occasionally, an airline doesn't serve a certain airport, or it didn't serve it for the entire duration that the data collection period covers*. In those cases, the data either doesn't exist or is typically too sparse to be of much use. As such, I've only uploaded complete files for airports that an airline served for the entire uninterrupted duration of the collection period. For these files, there should be 174 time series points for one or more of the nine columns below. I recommend any of the files for American, Delta, or United Airlines for outstanding examples of complete and robust airline data.

* No data for Atlas Air exists, and Virgin America commenced service in 2007, so no folders for either airline are included.

Content

There are 13 airlines that have at least one complete dataset. Each airline's folder includes CSV file(s) for each airport that are complete as defined by the above criteria. I've double-checked the files, but if you find one that violates the criteria, please point it out. The file names have the format "AIRLINE-AIRPORT.csv", where both AIRLINE and AIRPORT are IATA codes. For a full listing of the airlines and airports that the codes correspond to, check out the airline_codes.csv or airport_codes.csv files that are included, or perform a lookup here. Note that the data in each airport file represents metrics for flights that originated at the airport.

Among the 13 airlines in data.zip, there are a total of 161 individual datasets. There are also two special folders included - airlines_all_airports.csv and airports_all_airlines.csv. The first contains datasets for each airline aggregated over all airports, while the second contains datasets for each airport aggregated over all airlines. To preview a sample dataset, check out all_airlines_all_airports.csv, which contains industry-wide data.

Each file includes the following metrics for each month from October 2002 to March 2017:

1. Date (YYYY-MM-DD): All dates are set to the first of the month. The day value is just a placeholder and has no significance.
2. ASM_Domestic: Available Seat-Miles in thousands (000s). Number of domestic flights * Number of seats on each flight
3. ASM_International*: Available Seat-Miles in thousands (000s). Number of international flights * Number of seats on each flight
4. Flights_Domestic
5. Flights_International*
6. Passengers_Domestic
7. Passengers_International*
8. RPM_Domestic: Revenue Passenger-Miles in thousands (000s). Number of domestic flights * Number of paying passengers
9. RPM_International*: Revenue Passenger-Miles in thousands (000s). Number of international flights * Number of paying passengers

* Frequently contains missing values

Acknowledgements

Thanks to the U.S. Department of Transportation for collecting this data every month and making it publicly available to us all.

Source: https://www.transtats.bts.gov/Data_Elements.aspx

Inspiration

The airline / airport datasets are perfect for practicing and/or testing time series forecasting with classic statistical models such as autoregressive integrated moving average (ARIMA), or modern deep learning techniques such as long short-term memory (LSTM) networks. The datasets typically show evidence of trends, seasonality, and noise, so modeling and accurate forecasting can be challenging, but still more tractable than time series problems possessing more stochastic elements, e.g. stocks, currencies, commodities, etc. The source releases new data each month, so feel free to check your models' performances against new data as it comes out. I will update the files here every 3 to 6 months depending on how things go.

A future plan is to build a SQLite database so a vast array of queries can be run against the data. The data in it its current time series format is not conducive for this, so coming up with a workable structure for the tables is the first step towards this goal. If you have any suggestions for how I can improve the data presentation, or anything that you would like me to add, please let me know. Looking forward to seeing the questions that we can answer together!

In 2019, long range flights accounted for more than 40 percent of revenue passenger kilometers (RPK) in Latin America. Meanwhile, short range flights concentrated roughly one quarter of the region's RPK that year. By 2039, this type of flights are expected to almost equal long range flights' RPK in the Latin American aviation market.

Graph and download economic data for Revenue Per Passenger-Mile, All Railroads for United States (A030CAUSA259NNBR) from 1888 to 1916 about railroad and USA.