China Air: Passenger Traffic: Domestic data was reported at 664.657 Person mn in 2024. This records an increase from the previous number of 590.516 Person mn for 2023. China Air: Passenger Traffic: Domestic data is updated yearly, averaging 95.618 Person mn from Dec 1970 (Median) to 2024, with 42 observations. The data reached an all-time high of 664.657 Person mn in 2024 and a record low of 0.210 Person mn in 1970. China Air: Passenger Traffic: Domestic data remains active status in CEIC and is reported by Civil Aviation Administration of China. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TI: Air: Passenger Traffic.

The number of flights performed globally by the airline industry has increased steadily since the early 2000s and reached 38.9 million in 2019. However, due to the coronavirus pandemic, the number of flights dropped to 18.3 million in 2020. The flight volume increased again in the following years and was forecasted to reach 38.7 million in 2024. The global airline industry The number of flights performed increased year-on-year continuously to transport both passengers and freight. The industry’s recent growth can be attributed to a combination of increasing living standards and decreasing costs of air travel. While North American and European airlines currently dominate in terms of both revenue and passengers flown, it is predicted that future growth will be highest in markets of Asia.

Passengers enplaned and deplaned at Canadian airports, annual.

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our mobility statistics program.

The "Trips by Distance" data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.

Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.

The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.

These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

These data are made available under a public domain license. Data should be attributed to the "Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland and the United States Bureau of Transportation Statistics."

Daily data for a given week will be uploaded to the BTS website within 9-10 days of the end of the week in question (e.g., data for Sunday September 17-Saturday September 23 would be updated on Tuesday, October 3). All BTS visualizations and tables that rely on these data will update at approximately 10am ET on days when new data are received, processed, and uploaded.

The methodology used to develop these data can be found at: https://rosap.ntl.bts.gov/view/dot/67520.

In 2023, the estimated number of scheduled passengers boarded by the global airline industry amounted to approximately 4.5 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 five 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 one third of the global total.

This datasets contains information about number of flight, passengers, and cargo in Saudi Arabia's Domestic airports, for 2016- 2019. Data from General Authority for Statistics . Export API data for more datasets to advance energy economics research.Source : Saudi Arabian Airlines Organization.

In financial year 2024, the total air passenger traffic in India reached more than 220 million passengers. It was a huge increase compared to the previous year. The domestic passenger traffic saw a compound annual growth rate (CAGR) of 9.7 percent from 2014 to 2024, while the international passenger traffic saw a 4.5 percent CAGR during the same period of time.

Air passenger origin and destination data (passenger numbers, city rank), for transborder journeys, by total outbound and inbound passengers exceeding 4000, by city-pair, annual.

The dataset presented in this forum is monthly data. The Port Authority collects monthly data for domestic and international, cargo, flights, passengers and aircraft equipment type from each carrier at PANYNJ-operated airports. The data is aggregated and forms the basis for estimating flight fees, parking, concession, and PFC revenues at the Port Authority Airports.

Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.

Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=

A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.

Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.

Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, so excluding residents of institutions and homes. The table contains per person per day /year an overview of the average number of trips, the average distance travelled and the average time travelled. These are regular trips on Dutch territory, including domestic holiday mobility. The distance travelled is based on stage information. Excluded in this table is mobility based on series of calls trips. The mobility behaviour is broken down by personal characteristics, purposes of travel, gender, population and regions. The data used are retrieved from The Dutch National travel survey named Onderweg in Nederland (ODiN).

As of thf 5 July 2023 in the tables of 2018-2020 in some places dots (figure is unknown, insufficiently reliable or confidential) are replaced by empty cells (figure not applicable)

Data available from: 2018

Status of the figures: The figures in this table are final.

Changes as of 4 July 2024: The figures for year 2023 are added. Starting with the publication of 2023 data, the figures on people’s background will no longer be available. The data in the table has been replaced by dots. The data on background from previous years are still available.

When will new figures be published? Figures for the 2024 research year will be published in mid-2025

India’s leading low-cost air carrier, IndiGo, carried around 106.4 million domestic and international passengers in the financial year 2024. This was an increasing in comparison to the previous year.   The no-frills airline Established in 2006 and headquartered in Gurgaon, IndiGo climbed the airline ladder to become the largest passenger carrier with a market share of about 55 percent. The company’s focus was threefold – offering low fares mainly in the domestic market, being on-time and providing a smooth flying experience. IndiGo was the preferred airline among Indians and was known for its punctuality. Leading the domestic market IndiGo had 412 aircraft as part of its fleet and over a thousand daily flights to 122 destinations. As a low-cost carrier, it offers only economy seating and no complimentary meals on any flights. It was one of the leading budget airlines in terms of net profit in 2019. As an airline that operates mainly within the south Asian country, it has become a major player in the market since its establishment in 2015. It found a stronger foothold when its competitor Jet Airways suspended operation between early 2019 and mid-2022.

Brazil Passenger Traffic: Sao Jose dos Campos: Landed in the Year: Non Regular Transportation: Domestic Passenger data was reported at 5,862.000 Person in Jun 2019. This records an increase from the previous number of 5,071.000 Person for May 2019. Brazil Passenger Traffic: Sao Jose dos Campos: Landed in the Year: Non Regular Transportation: Domestic Passenger data is updated monthly, averaging 6,554.000 Person from Jan 2014 (Median) to Jun 2019, with 66 observations. The data reached an all-time high of 16,479.000 Person in Dec 2016 and a record low of 553.000 Person in Jan 2017. Brazil Passenger Traffic: Sao Jose dos Campos: Landed in the Year: Non Regular Transportation: Domestic Passenger data remains active status in CEIC and is reported by Brazilian Airport Infrastructure Company. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TA006: Passenger Traffic: by Airport: Landed in the Year. Regular Transportation: Flight made with the existence of HOTRAN (existing authorized flights) thus defined by regulator. Non Regular Transportation: Commercial flight made by any aircraft without the existence of HOTRAN. Boarded Passenger: Passengers of origin, who start the trip at the airport, plus passengers on connection. Landed Passenger: Passengers destination, ending the trip at the airport, plus passengers on connection. Cabotage Passenger: Domestic passengers on an international flight. Please be advised that the information provided herein refers to movements of aircraft, passengers, Air Cargo and Mail are provided by the Airline through a form called Summary Passenger Embedded (RPE) Air Cargo: Refer exclusively to loads of basement.

Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger data was reported at 10,161.000 Person in Jun 2019. This records an increase from the previous number of 8,357.000 Person for May 2019. Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger data is updated monthly, averaging 2,978.500 Person from Jan 2014 (Median) to Jun 2019, with 66 observations. The data reached an all-time high of 26,307.000 Person in Dec 2014 and a record low of 0.000 Person in Aug 2018. Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger data remains active status in CEIC and is reported by Brazilian Airport Infrastructure Company. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TA004: Passenger Traffic: by Airport: Boarded in the Year. Regular Transportation: Flight made with the existence of HOTRAN (existing authorized flights) thus defined by regulator. Non Regular Transportation: Commercial flight made by any aircraft without the existence of HOTRAN. Boarded Passenger: Passengers of origin, who start the trip at the airport, plus passengers on connection. Landed Passenger: Passengers destination, ending the trip at the airport, plus passengers on connection. Cabotage Passenger: Domestic passengers on an international flight. Please be advised that the information provided herein refers to movements of aircraft, passengers, Air Cargo and Mail are provided by the Airline through a form called Summary Passenger Embedded (RPE) Air Cargo: Refer exclusively to loads of basement.

Brazil Passenger Traffic: Rio Branco: Landed in the Year: Regular Transportation: Domestic Passenger: National data was reported at 81,314.000 Person in Jun 2019. This records an increase from the previous number of 68,527.000 Person for May 2019. Brazil Passenger Traffic: Rio Branco: Landed in the Year: Regular Transportation: Domestic Passenger: National data is updated monthly, averaging 82,452.000 Person from Jan 2014 (Median) to Jun 2019, with 66 observations. The data reached an all-time high of 183,463.000 Person in Dec 2014 and a record low of 9,317.000 Person in Jan 2018. Brazil Passenger Traffic: Rio Branco: Landed in the Year: Regular Transportation: Domestic Passenger: National data remains active status in CEIC and is reported by Brazilian Airport Infrastructure Company. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TA006: Passenger Traffic: by Airport: Landed in the Year. Regular Transportation: Flight made with the existence of HOTRAN (existing authorized flights) thus defined by regulator. Non Regular Transportation: Commercial flight made by any aircraft without the existence of HOTRAN. Boarded Passenger: Passengers of origin, who start the trip at the airport, plus passengers on connection. Landed Passenger: Passengers destination, ending the trip at the airport, plus passengers on connection. Cabotage Passenger: Domestic passengers on an international flight. Please be advised that the information provided herein refers to movements of aircraft, passengers, Air Cargo and Mail are provided by the Airline through a form called Summary Passenger Embedded (RPE) Air Cargo: Refer exclusively to loads of basement.

This spreadsheet summarises of the key travel patterns and trends relating to the TFL network and Airports around London.

Some of the borough level data has been analysed using these interactive charts. Click on the image to open.

The first stack graph shows the spread of mode of travel for each borough. In Kensington and Chelsea over 44 per cent of journeys are made on foot, in Bexley 59 per cent of journeys are in a car/motorcycle, and in Hackney over a 25 per cent of journeys are by bus.

The second graph shows the proportion of all road casualties by road user type and borough in 2010. The City of London has the highest proportion of casualties for pedestrians, and cyclists.

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Some of the airports data has been presented in this one page factsheet that highlights some important facts about flights and passengers at London’s airports. The number one country where people have either come from or going to is the United States.

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List of tables included in the spreadsheet:

1 Aggregate travel volumes in Greater London. Estimated daily average number of journey stages, 1993-2009
2 Modal shares of daily journey stages in London, 2009
3 Annual passenger kilometres travelled by public transport (millions), London, 2008/09 - 2010/11
4 Annual journey stages by public transport (millions), 1991/92 - 2010/11
5 Index of London road traffic, major and minor roads, all motor vehicles, 2000-2009
6 Trends in road casualties, by personal injury severity, London and GB, 1991-2010
7 London road casualties by mode of travel, 2010
8 Trends in cycle flows on the TLRN, annualised indices, 2000/01 - 2010/11
9 People entering central London in the weekday morning peak, 1978 - 2009
10 Car ownership in Inner and Outer London, 2009/10
11 Hours of serious and severe disruption London-wide, 2009/10
12 Number of road works undertaken on the TLRN, Sep 2009 - Oct 2010
13 London Underground: scheduled and operated train kilometres, 1995/96 - 2009/10
14 London Underground - operated train kilometres (millions) by line, 2009/10
15 Average number of passengers per bus, train or tram, 2001/02 - 2009/10
16 Public transport fares - UK and London compared, 1994/95 - 2009/10
17 Air freight moved through London's principal airports, 1993 - 2009
18 Terminal passengers by London area airport, in millions, 2000, 2010
19 Terminal passengers by London area airport, 1990 - 2010
20 Terminal passengers by flight's country of origin or destination, 2010
21 Road Casualties by Severity and Road User Type, by Borough 2010
22 Data used in the Interactive Chart
- Number of trips, distribution of trips by mode and average travel time from home to work, 2007/2008 to 2009/10 (3-year moving average)
23 Data used for Air Transport Factsheet
- International terminal passengers at London airports, 2010
- All terminal passengers at London airports, in millions, 2000, 2010
- Terminal passengers at London airports by origin or destination of the flight, 2010
- Number of UK flights and passenger by London airport, 2010

Most data is from the annual report Travel in London 3, Transport for London. Further information, reports and data from the Travel in London series can be found on the TFL website.

Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger: Regional data was reported at 0.000 Person in Jun 2019. This stayed constant from the previous number of 0.000 Person for May 2019. Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger: Regional data is updated monthly, averaging 0.000 Person from Jan 2014 (Median) to Jun 2019, with 66 observations. The data reached an all-time high of 0.000 Person in Jun 2019 and a record low of 0.000 Person in Jun 2019. Brazil Passenger Traffic: Sao Jose dos Campos: Boarded in the Year: Regular Transportation: Domestic Passenger: Regional data remains active status in CEIC and is reported by Brazilian Airport Infrastructure Company. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TA004: Passenger Traffic: by Airport: Boarded in the Year. Regular Transportation: Flight made with the existence of HOTRAN (existing authorized flights) thus defined by regulator. Non Regular Transportation: Commercial flight made by any aircraft without the existence of HOTRAN. Boarded Passenger: Passengers of origin, who start the trip at the airport, plus passengers on connection. Landed Passenger: Passengers destination, ending the trip at the airport, plus passengers on connection. Cabotage Passenger: Domestic passengers on an international flight. Please be advised that the information provided herein refers to movements of aircraft, passengers, Air Cargo and Mail are provided by the Airline through a form called Summary Passenger Embedded (RPE) Air Cargo: Refer exclusively to loads of basement.