The U.S. Department of Transportation's (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT's monthly Air Travel Consumer Report, published about 30 days after the month's end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released.

This version of the dataset was compiled from the Statistical Computing Statistical Graphics 2009 Data Expo and is also available here.

In 2024, the global air traffic passenger demand grew by **** percent compared to the previous year, when the passenger demand increased by **** percent. This figure was forecast to grow by eight percent in 2025.

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) air traffic cargo dataset contains data about cargo volume into and out of SFO, in both metric tons and pounds, with monthly totals by airline, region and aircraft type.

B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level.

C. UPDATE PROCESS Data is available starting in July 1999 and will be updated monthly.

D. HOW TO USE THIS DATASET Airport data is seasonal in nature; therefore, any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Cargo Statistics belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Cargo Statistics as desired.

E. RELATED DATASETS A summary of monthly comparative air-traffic statistics is also available on SFO’s internet site at

https://www.flysfo.com/about/media/facts-statistics/air-traffic-statistics

We'll tailor a bespoke airline dataset to meet your unique needs, encompassing flight details, destinations, pricing, passenger reviews, on-time performance, and other pertinent metrics.

Leverage our airline datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp traveler preferences and industry trends, facilitating nuanced operational adaptations and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve optimizing route profitability, improving passenger satisfaction, and conducting competitor analysis.

Between 2013 and 2019, passenger traffic on commercial airlines in Europe was mostly stable. However, the outbreak of the coronavirus pandemic caused passenger traffic to decline by ** percent in 2020. In the aftermath, year-on-year growth figures turned positive again, most notably in 2022, when passenger traffic surged by *** percent compared to the previous year. In 2024, the number of passengers was estimated to have grown by *** percent, with a further *** percent increase expected in 2025.

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

Dataset + pivot tables for Aviation.

Monthly operational statistics (passengers, passenger-kilometres, available seat-kilometres, load factors - scheduled, goods carried, goods tonne-kilometres, hours flown, and turbo fuel consumed, broken down by scheduled and charter services), for major Canadian airlines, level IA (Air Canada and WestJet).

Introduction

Airlines Statistics: The airline industry is flying high in 2024, reaching new records in passenger numbers and getting close to $1 trillion in total revenue. Following the significant impact of the COVID-19 pandemic, airlines are now entering a robust recovery phase characterized by rapid growth, increased demand, and a stronger emphasis on eco-friendly travel.

Whether you're a frequent flyer, business owner, travel expert, or policymaker, knowing the latest “Airline Statistics†helps you understand how global travel and trade are changing. In this overview, you’ll find key facts about passenger totals, revenue increases, regional highlights, rising costs like jet fuel, and new trends in technology and green aviation. Get ready—we're diving into the numbers that are shaping the future of air travel.

In 2023, air passenger transport in the European Union (EU-27) amounted to some 976.4 million passengers. This was a significant increase of 19 percent compared to the previous year. However, the 2023 value still slightly below the pre-pandemic year's figure due to the ongoing effects of the coronavirus pandemic, the cost of living crisis and rising energy and jet fuel prices. Altogether, they put pressure on airlines and air passengers.

Japan Airlines: Number of Flight: Domestic data was reported at 66,938.000 Unit in Sep 2018. This records a decrease from the previous number of 75,230.000 Unit for Aug 2018. Japan Airlines: Number of Flight: Domestic data is updated monthly, averaging 41,107.000 Unit from Jan 1970 (Median) to Sep 2018, with 585 observations. The data reached an all-time high of 75,230.000 Unit in Aug 2018 and a record low of 16,135.000 Unit in Feb 1970. Japan Airlines: Number of Flight: Domestic data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.TA008: Airlines Statistics.

JAL Group: JAL: International: Flight Returned to Departing Airport data was reported at 1.000 Unit in Jun 2018. This stayed constant from the previous number of 1.000 Unit for May 2018. JAL Group: JAL: International: Flight Returned to Departing Airport data is updated monthly, averaging 1.000 Unit from Dec 2000 (Median) to Jun 2018, with 211 observations. The data reached an all-time high of 12.000 Unit in Sep 2001 and a record low of 0.000 Unit in Feb 2018. JAL Group: JAL: International: Flight Returned to Departing Airport data remains active status in CEIC and is reported by JAL Group. The data is categorized under Global Database’s Japan – Table JP.TA009: Airlines Statistics: Japan Airlines Group.

United Kingdom based airlines transported 139.6 million passengers in 2024, up from approximately 129.4 million registered in the previous year. Over the period given, the passenger traffic peaked at 176.22 million in 2018, before decreasing significantly due to the coronavirus pandemic. EasyJet: king of the skies EasyJet is the largest airline company based in the United Kingdom. In 2022, the low-cost carrier transported 33.12 million passengers in UK via its operating company EasyJet UK Ltd. EasyJet was founded in 1995 and has seen an astonishing market growth since then, overtaking the country’s flag carrier British Airways as the leading airline in 2022. Air traffic worldwide Globally, the number of scheduled passengers is expected to reach 1.17 billion users by the end of 2027. After continuing its recovery from the COVID-19 pandemic in 2023, the sector is expected to continue growing between 5.5 and 4 percent annually between 2024 and 2027.

Daily data showing UK flight numbers and rolling seven-day average, including flights to, from, and within the UK. These are official statistics in development. Source: EUROCONTROL.

The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

Example response from the API:

[ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

Output:

For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

Quarterly civil aviation operating statistics (passengers, goods carried (kilograms), passenger-kilometres, passenger tonne-kilometres, goods tonne-kilometres, total tonne-kilometres, hours flown) by sector (total domestic and international, domestic, international, transborder (Canada - United States) and other international). Data are for Canadian air carriers, Levels I and II combined. All data are expressed in thousands.

United States Airline Cost Index: 1982=100: A4A: Qtr: Aircraft Fleet data was reported at 308.100 1982=100 in Dec 2005. This records an increase from the previous number of 304.500 1982=100 for Sep 2005. United States Airline Cost Index: 1982=100: A4A: Qtr: Aircraft Fleet data is updated quarterly, averaging 165.950 1982=100 from Mar 1971 (Median) to Dec 2005, with 140 observations. The data reached an all-time high of 345.300 1982=100 in Dec 2002 and a record low of 88.800 1982=100 in Dec 1980. United States Airline Cost Index: 1982=100: A4A: Qtr: Aircraft Fleet data remains active status in CEIC and is reported by Airlines for America. The data is categorized under Global Database’s United States – Table US.TA010: Airline Statistics (Discontinued).

The package shall include data on flights held in Lithuanian airspace from the Air Navigation Flight Statistics Database. The information related to flights shall include: date of flight, type of aircraft, air carrier operating the flight, times of departure and arrival and airports of departure and arrival. If you have any questions about the dataset, please contact the State Data Control Opening Team by e-mail atverimas@stat.gov.lt.

United States Airline Cost Index: 1982=100: A4A: Qtr: Interest data was reported at 71.200 1982=100 in Dec 2005. This records a decrease from the previous number of 79.600 1982=100 for Sep 2005. United States Airline Cost Index: 1982=100: A4A: Qtr: Interest data is updated quarterly, averaging 78.550 1982=100 from Mar 1971 (Median) to Dec 2005, with 140 observations. The data reached an all-time high of 115.800 1982=100 in Jun 1989 and a record low of 43.900 1982=100 in Jun 1972. United States Airline Cost Index: 1982=100: A4A: Qtr: Interest data remains active status in CEIC and is reported by Airlines for America. The data is categorized under Global Database’s United States – Table US.TA010: Airline Statistics (Discontinued).

Annual civil aviation financial statistics (total, operating revenue for scheduled and charter services both separately and combined, passenger revenue and goods revenue for both scheduled and charter services, all other flight - related revenue, all other revenue, total, operating expenses, maintenance, ground property and equipment, aircraft operations, maintenance, flight equipment, depreciation, all other expenses, net income (loss), operating income (loss), net, non-operating income (loss), net, interest and discount income, interest expenses, all other non-operating income (loss), net, provision for income taxes, and income (loss) before provision for income taxes). Data are for Canadian air carriers, Levels I and II combined, Level III, and Levels I to III combined. All data are expressed in thousands of dollars.