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.

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 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.

The dataset contains the quarterly international traffic statistics in the regions in the form of city pairs in the category of passengers.

Bangladesh Air Traffic Movement: Passenger: Total data was reported at 1,585,904.000 Person in Dec 2023. This records an increase from the previous number of 1,417,178.000 Person for Nov 2023. Bangladesh Air Traffic Movement: Passenger: Total data is updated monthly, averaging 385,380.500 Person from Jan 1994 (Median) to Dec 2023, with 360 observations. The data reached an all-time high of 1,585,904.000 Person in Dec 2023 and a record low of 10,225.000 Person in Apr 2020. Bangladesh Air Traffic Movement: Passenger: Total data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.TA003: Air Traffic Movement.

This dataset contains monthly air traffic passenger statistics for major U.S. airports from 1999 to 2025. It includes data on domestic and international passengers, categorized by terminal, airline, and destination. Useful for aviation trends, forecasting, and transportation analysis.

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.

Passengers enplaned and deplaned at Canadian airports, annual.

This datasets contains Information about Air Traffic of international Airports in the Kingdom of Saudi Arabia- Flight for 2017-2019. Data from General Authority for Statistics

The dataset contains the quarterly international traffic statistics in the regions in the form of city pairs in the category of freight.

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.

United States Air Carrier Traffic: Available Ton Miles data was reported at 15,591,426.000 Unit th in Aug 2018. This records a decrease from the previous number of 15,953,240.000 Unit th for Jul 2018. United States Air Carrier Traffic: Available Ton Miles data is updated monthly, averaging 11,987,954.500 Unit th from Jan 1996 (Median) to Aug 2018, with 272 observations. The data reached an all-time high of 16,156,310.000 Unit th in Jul 2017 and a record low of 9,017,262.000 Unit th in Feb 1996. United States Air Carrier Traffic: Available Ton 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.

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

This dataset contains data from San Francisco International Airport (SFO) about the airport.

• The passenger dataset contains data about passenger traffic into and out of SFO with monthly totals by airline, region, terminal and boarding area.
• The 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.
• 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.

See attached PDFs for detailed explainations.

Acknowlegement

Foto von David Barajas auf Unsplash

The data shows the quarterly carrier type-wise international traffic statistics for different airlines in both categories - freight and passengers.

In 2024, the global airline industry's passenger air traffic revenue reached an estimated peak of *** billion U.S. dollars, representing a **** percent increase compared to the previous year.

United States Air Carrier Traffic: Passenger Load Factor data was reported at 85.850 % in Aug 2018. This records a decrease from the previous number of 87.460 % for Jul 2018. United States Air Carrier Traffic: Passenger Load Factor data is updated monthly, averaging 78.425 % from Jan 1996 (Median) to Aug 2018, with 272 observations. The data reached an all-time high of 87.460 % in Jul 2018 and a record low of 58.490 % in Sep 2001. United States Air Carrier Traffic: Passenger Load Factor 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.