In 2023, the estimated number of scheduled passengers boarded by the global airline industry amounted to approximately *** billion people. This represents a significant increase compared to the previous year since the pandemic started and the positive trend was forecast to continue in 2024, with the scheduled passenger volume reaching just below **** billion travelers. Airline passenger traffic The number of scheduled passengers handled by the global airline industry has increased in all but one of the last decade. Scheduled passengers refer to the number of passengers who have booked a flight with a commercial airline. Excluded are passengers on charter flights, whereby an entire plane is booked by a private group. In 2023, the Asia Pacific region had the highest share of airline passenger traffic, accounting for ********* of the global total.

A. SUMMARY San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level C. UPDATE PROCESS Data updated quarterly 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, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.

The number of flights performed globally by the airline industry has increased steadily since the early 2000s and reached **** million in 2019. However, due to the coronavirus pandemic, the number of flights dropped to **** million in 2020. The flight volume increased again in the following years and was forecasted to reach ** million in 2025.

Graph and download economic data for Enplanements for U.S. Air Carrier Domestic, Scheduled Passenger Flights (ENPLANEDD11) from Jan 2000 to Jul 2025 about flight, passenger, air travel, travel, domestic, and USA.

Information on international air traffic between the United States and other countries. Provides publications for a fee.

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.

In 2024, around **** percent of airline passenger traffic was operated by airline companies in the Asia-Pacific region. Meanwhile, Europe accounted for the second largest passenger traffic share, with **** percent.

Content

This dataset contains information on global air transport data for most countries around the world between 2005 and 2019. The available series include: - Air transport, registered carrier departures - Air transport, freight (million ton-km) - Air transport, passengers carried - Logistics performance index

Acknowledgements

Data source: The World Bank Image source: John McArthur on Unsplash

Inspiration

Some questions to get started: - Which countries have seen the highest growth in each series? - Can you plot the values on a map using a library like Folium? - Are any countries highly correlated?

The Bureau of Transportation Statistics releases non-seasonally adjusted air traffic data based on monthly reports from commercial U.S. air carriers.

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

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.

In financial year 2024, the total air passenger traffic in India reached more than *** million passengers. It was a huge increase compared to the previous year. The domestic passenger traffic saw a compound annual growth rate (CAGR) of *** percent from 2014 to 2024, while the international passenger traffic saw a *** percent CAGR during the same period of time.

This dataset provides valuable insights into the aviation industry's trends and growth patterns, making it a valuable resource for analysts, researchers, and aviation enthusiasts.

1.**Country:** This column represents the name of the country where the airline is based. It provides valuable geographical context to the dataset, allowing users to explore passenger trends on a country-by-country basis.

2.**Airline Passengers Carried:** This column contains the number of passengers carried by each airline. It is a critical metric for evaluating an airline's performance and market share.

3.**Year:** The year column indicates the year to which the data corresponds. It allows users to track changes in passenger numbers over time and observe trends and fluctuations in the airline industry.

This dataset, enables data scientists, analysts, and researchers to conduct a wide range of analyses and create data-driven visualizations to answer various questions related to air travel, such as:

• Which countries have the highest and lowest airline passenger numbers?
• How has the global airline industry evolved over the years in terms of passenger volume?
• Are there any seasonal patterns or trends in airline passenger data?
• What are the top airlines in terms of passenger volume for a specific year or country?
• How does economic or political stability in a country correlate with airline passenger numbers?

By making this dataset available on Kaggle, we aim to foster collaboration and innovation within the data science community, allowing users to extract valuable insights from the world of aviation and contribute to a better understanding of global travel patterns. Researchers, analysts, and data enthusiasts can leverage this dataset to gain a deeper understanding of the dynamics of the airline industry and make informed decisions based on the trends observed in the data.

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) The aircraft landing dataset contains data about aircraft landings at SFO with monthly landing counts and landed weight by airline, region and aircraft model and 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

San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. 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, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.

In 2024, U.S. airlines recorded ****** million passengers on domestic and international flights. The previous year, the number of passengers at U.S. airports officially surpassed the pre-pandemic peak of ***** million passengers recorded in 2019.

Passengers enplaned and deplaned at Canadian airports, annual.

Graph and download economic data for All Employees, Air Transportation (CES4348100001) from Jan 1990 to Sep 2025 about air travel, warehousing, travel, transportation, establishment survey, employment, and USA.

The United States had the largest commercial air travel market in 2021, with just over *** million passengers boarding planes registered to American and international air carriers. The next largest market was China, with more than *** million passengers, while the Eurozone ranked in third place, with almost *** million passengers. Passenger measurement Measuring the number of passengers boarded by carriers registered in a country provides an indication of the size of that country’s airline industry, but it does not measure the amount of air travel in that country. For example, as Ryanair is registered in Ireland, all Ryanair flights count as Irish, even if the flight was between, say, Berlin and London. One way to measure the number of air passengers within a country is to look at the number of passengers passing through airports in that country. Alternatively, the level of travel within an airline market can be considered at the regional level, in which case North America slips back to third behind the Asia Pacific region and Europe. Erasing two decades of growth in global air travel Regardless of how passenger numbers are measured, global air travel increased rapidly over the last decade. However, this was not the case in 2020, when the COVID-19 pandemic erased two decades of global passenger traffic growth, cutting the number of air passengers to only *** billion and the number of flights globally to **** million. Looking at this period, the Middle East region was affected the most, with seat capacity down ** percent compared to 2019.