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.

The average for 2021 based on 152 countries was 15 million passengers. The highest value was in the USA: 666.15 million passengers and the lowest value was in Guatemala: 0 million passengers. The indicator is available from 1970 to 2021. Below is a chart for all countries where data are available.

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.

The United States had the largest commercial air travel market in 2021, with just over 666 million passengers boarding planes registered to American and international air carriers. The next largest market was China, with more than 440 million passengers, while the Eurozone ranked in third place, with almost 252 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 1.8 billion and the number of flights globally to 16.9 million. Looking at this period, the Middle East region was affected the most, with seat capacity down 63 percent compared to 2019.

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 impact of the novel coronavirus (COVID-19) can be seen on every sector of the most affected countries as well as globally. In the week starting January 4, 2021, the number of scheduled flights worldwide was down by 43.5 percent compared to the week of January 6, 2020. The impact of COVID-19 on the Chinese aviation reached a peak in the week starting February 17, 2020, with flight numbers down by 70.8 percent. Aviation market prior to COVID-19 outbreak Before the coronavirus outbreak hit the globe, the aviation industry was improving at a steady pace across countries. For instance, the projected annual growth of revenue ton-miles (RTM) for international flights by U.S. commercial air carriers was at roughly four percent for the period between 2020 and 2040. Prior to the coronavirus outbreak, the forecasted aircraft maintenance, repair and overhaul (MRO) market size in North America was over 22 billion U.S. dollars in 2020. After the adjustments with respect to radical changes driven by coronavirus shock, the North American MRO market is now estimated to generate roughly 12 billion U.S. dollars during the same period. Besides, it was estimated that between 2019 and 2038 over 260,000 technicians in the aviation industry will be demanded in the Asia Pacific region only. Aviation market after COVID-19 shock Coronavirus pandemic hit the passenger aviation much worse than cargo aviation because of lockdowns and bans restricting international travel across the globe. As a result of persisting COVID-19 shocks, passenger aviation is expected to lose roughly 370 billion U.S. dollars in 2020. Even though some countries started to recover as the coronavirus spread is being contained, the desired level of recovery may take at least several quarters or years. The change of airlines’ capacity will most likely remain at least ten percent below the 2019 levels. The longer recovery periods are attributed to several factors including the COVID-19 economic recession, confidence of people to travel, and stringent travel restrictions. Therefore, some institutions forecast the aviation industry to recover at a much slower pace than what was expected.

Russia Number of Flights: Domestic data was reported at 67,658.000 Number in Feb 2022. This records a decrease from the previous number of 71,658.000 Number for Jan 2022. Russia Number of Flights: Domestic data is updated monthly, averaging 55,400.000 Number from Jan 2010 (Median) to Feb 2022, with 146 observations. The data reached an all-time high of 127,409.000 Number in Jul 2021 and a record low of 27,413.000 Number in Feb 2010. Russia Number of Flights: Domestic data remains active status in CEIC and is reported by Federal Agency for Air Transport. The data is categorized under Russia Premium Database’s Transport and Telecommunications Sector – Table RU.TE003: Airlines Statistics: Number of Airlines, Aircrafts, Airports and Flights. [COVID-19-IMPACT]

India All Scheduled Airlines: International: Number of Flight data was reported at 18,574.000 Unit in Jan 2025. This records an increase from the previous number of 18,324.000 Unit for Dec 2024. India All Scheduled Airlines: International: Number of Flight data is updated monthly, averaging 7,783.000 Unit from Apr 2001 (Median) to Jan 2025, with 281 observations. The data reached an all-time high of 18,574.000 Unit in Jan 2025 and a record low of 273.000 Unit in May 2020. India All Scheduled Airlines: International: Number of Flight data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA019: Airline Statistics: All Scheduled Airlines.

Russia Number of Flights data was reported at 106,742.000 Number in Feb 2022. This records a decrease from the previous number of 119,379.000 Number for Jan 2022. Russia Number of Flights data is updated monthly, averaging 117,995.000 Number from Jan 2010 (Median) to Feb 2022, with 146 observations. The data reached an all-time high of 189,980.000 Number in Aug 2019 and a record low of 53,348.000 Number in Apr 2020. Russia Number of Flights data remains active status in CEIC and is reported by Federal Agency for Air Transport. The data is categorized under Russia Premium Database’s Transport and Telecommunications Sector – Table RU.TE003: Airlines Statistics: Number of Airlines, Aircrafts, Airports and Flights. [COVID-19-IMPACT]

Introduction

Airlines Statistics: The global aviation industry is worth billions of dollars, with millions of people flying every day. Many travelers enjoy visiting countries that don't require a visa, while others choose destinations that require one before arrival. The aviation industry isn’t just about passenger flights—it also includes cargo, which helps deliver international orders.

Online stores like Amazon have benefited greatly from air travel because it lets customers order products from anywhere and have them delivered in just 2 to 3 weeks. These interesting Airline Statistics include both global and U.S. insights, and at the end, you can enjoy a fun feature that lets you track live air traffic worldwide.

In 2023, the United Kingdom was the leading country in terms of air traffic, with a total of 5,290 daily arrivals and departures. Spain ranked second on the list, with 4,616 daily flights.

India All Scheduled Airlines: Domestic: Number of Flight data was reported at 99,013.000 Unit in Dec 2024. This records an increase from the previous number of 94,818.000 Unit for Nov 2024. India All Scheduled Airlines: Domestic: Number of Flight data is updated monthly, averaging 47,900.000 Unit from Apr 2001 (Median) to Dec 2024, with 285 observations. The data reached an all-time high of 99,013.000 Unit in Dec 2024 and a record low of 188.000 Unit in Apr 2020. India All Scheduled Airlines: Domestic: Number of Flight data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA019: Airline Statistics: All Scheduled Airlines.

China CN; Air: Number of Flight: Domestic data was reported at 2,467,400.000 Unit in 2022. This records a decrease from the previous number of 3,855,300.000 Unit for 2021. China CN; Air: Number of Flight: Domestic data is updated yearly, averaging 2,016,565.000 Unit from Dec 1999 (Median) to 2022, with 21 observations. The data reached an all-time high of 4,477,800.000 Unit in 2019 and a record low of 562,203.000 Unit in 1999. China CN; Air: Number of Flight: 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: Number of Flight.

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.

This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth Science missions. Currently, data mining and machine learning technologies are being used by scientists at research labs for validating Earth science models. However, few if any of these advancedtechniques are currently being integrated into daily mission operations. Consequently, there are significant gaps in the knowledge that can be derived from the models and data that are used each day for guiding mission activities. The result can be sub-optimal observation plans, lack of useful data, and wasteful use of resources. Recent advances in data mining, machine learning, and planning make it feasible to migrate these technologies into the daily mission planning cycle. This paper describes the design of a closed loop system for data acquisition, processing, and flight planning that integrates the results of machine learning into the flight planning process.

The global fuel consumption by commercial airlines increased each year since 2009 and reached an all-time high of 95 billion gallons in 2019. However, due to the coronavirus pandemic, the fuel consumption dropped to only 52 billion gallons in 2020. As of 2021, commercial airlines increased their fuel consumption, which was forecast to rise to 92 and 99 billion gallons in 2023 and 2024, respectively.

According to Cognitive Market Research, the global Airport Interactive Kiosk Market size is USD 2251.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 10.20% from 2023 to 2030.

North America held the major market of more than 40% of the global revenue with a market size of USD 900.5 million in 2023 and will grow at a compound annual growth rate (CAGR) of 8.4% from 2023 to 2030.
Europe accounted for a share of over 30% of the global market size of USD 675.4 million
Asia Pacific held the market of more than 23% of the global revenue with a market size of USD 517.8 million in 2023 and will grow at a compound annual growth rate (CAGR) of 12.2% from 2023 to 2030
Latin America market of more than 5% of the global revenue with a market size of USD 112.6 million in 2023 and will grow at a compound annual growth rate (CAGR) of 9.6% from 2023 to 2030
Middle East and Africa held the major market of more than 2% of the global revenue with a market size of USD 45.02 million in 2023 and will grow at a compound annual growth rate (CAGR) of 9.9% from 2023 to 2030

Digitalization of Processes to Provide Viable Market Output

The airport interactive kiosk market is seeing an increase in the digitization of activities. An abundance of common aviation-related operations employ automated airport interactive kiosks because of their convenience. For most visitors, these kiosks are easy to operate because they include software that displays information in multiple languages. Printing boarding passes, checking bags, and printing luggage tags are a few applications for these kinds of kiosks. Numerous also enable users to take advantage of benefits like frequent flyer points, modify flights for same-day departures, and upgrade or swap seats. Additionally, airports can function more efficiently and safely thanks to kiosks. Among the most significant benefits of airport interactive kiosks include expedited check-in times, contactless communication, and easy product purchases for clients. Thus, during the projected period, these factors will have a favorable impact on the global market.

Enhancement of Airport Facilities in Developing Nations to Propel Market Growth

Market Restraints of the Airport Interactive Kiosk Market

Insufficient Infrastructure and Problems with Connectivity to Restrict Market Growth

Key obstacles preventing the market's growth are a lack of infrastructure and problems with connectivity. Basic internet access and an electrical supply are necessary for airport interactive kiosks to function. In order for kiosks to operate properly, dependable, fast internet connectivity must be available around-the-clock. For industrialized nations like the US, UK, and Germany, this renders kiosks appropriate. Since many undeveloped and impoverished nations lack a strong infrastructure for communication networks, these gadgets could not be helpful in those areas. Thus, during the projected period, these factors will impede the expansion of the global airport interactive kiosk market.

Impact of the COVID-19 on the Airport Interactive Kiosk Market

The market for airport interactive kiosks has been greatly influenced by the COVID-19 outbreak. The dynamics of the sector have been influenced by limitations on air travel, a decrease in passenger volume, and a greater emphasis on health and safety procedures. Additionally, as airports place a higher priority on limiting physical contact and guaranteeing passenger safety, demand for contactless and touchless systems has increased. Touchless interactions are made possible by interactive kiosks that use technologies like gesture detection, voice instructions, and QR code scanning. In addition, health screening tools including temperature checks and health surveys are employed with interactive kiosks. These kiosks assist airports in enforcing safety procedures, expediting passenger screening, and dispensing health-related information. What is Airport Interactive Kiosk?

Airport interactive kiosks are touch screen devices that let travelers print their boarding pass, check in for their flight, and get flight status updates. Tickets and other airport services can also be accessed using them. Airport interactive kiosks are essential because they give travelers a quick and easy method to check in for their trip and receive flight status updates. The necessity for automated passport control systems a...

Air travel fatalities have been recorded in each of the last 16 years, with a total of 176 deaths in 2021 due to air crashes. However, despite some pronounced year-to-year differences, the overall trend has been for a reduction in the number of fatalities – a trend confirmed when looking at a slightly longer or much longer time frame. Fatal airline accidents According to the Convention on International Civil Aviation, air traffic fatalities refer to an incident where a person is fatally injured due to an occurrence associated with the operation of the aircraft. This definition covers any time from when the first person starts boarding to when the final person disembarks the plane. Corporate jet and military transport accidents are generally excluded. Overall safety of air travel The overall trend downward in air travel fatalities is notable given that the volume of passenger air traffic has increased by more than 66 percent since 2004. Indeed, when considered in terms of the number of accidents per distance travelled, air travel is statistically the safest form of transport. For example, in both the United States and the United Kingdom, air travel is many thousands of times safer than the most dangerous form of travel – motorcycle riding.

Sample data files from realtime micro-scale weather simulations that were performed to support UAV (Unmanned Aerial Vehicles) flights during ISARRA Lower Atmospheric Process Studies at Elevation – Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field experiment. Two types of data are available: (1) ascii files that contain profiles and surface variables at select grid points that correspond with 3 key observing locations, (2) grib2 files contain 2D and 3D grids of variables described below and stored on levels AGL as described more below. The sample data includes all leadtimes from both domains. Domain 01 (1 km grid spacing) is initialized at 0400 UTC, lead times = 00h00m to 18h00m by 10m increments (108 files) and DO2 is initialized at 1000 UTC with leadtimes of 06h00m-18h00m by 10 min increments (72 files). Each grib2 file from the WRF-LES domain (D02) are around 100 MB per lead time. The full dataset is available here: https://doi.org/10.5065/83r2-0579

These simulations were performed by driving a nested grid configuration of the Weather Research and Forecasting model with its innermost mesh being run at 111 m grid spacing. The innermost grid was nested within a grid with 1 km grid spacing. The outermost grid being driven using operational forecast models data as described below. While the MYNN2 PBL scheme is used to parameterize turbulence in the 1 km grid, the PBL scheme is turned off within the 111 m grid, thus, allowing large-scale turbulent eddies to be resolved by WRF primitive equations. Subgrid-scale turbulence is diagnosed and stored within the TKE variable using Lilly (1966, 1967).

The realtime simulations were produced twice per day in order to support mission planning and UAVs flight operations. A next-day simulation was run using forcing data from NCEP's Global Forecast System (GFS) while a day-of simulation was run using data from the High Resolution Rapid Refresh (HRRR). Both simulations were valid between 04:00 and 16:00 local time providing an opportunity to explore the impact of lateral boundary conditions on forecast skill. The dataset consists of a series of two sets of files: 3D grids and point profiles. The 3D grids consist of all relevant basic state parameters (p,T,U,RH) and diagnostics (e.g., sub-grid scale TKE, ceiling height, visibility) that have been interpolated to flight levels AGL using the Unified Post-Processor (UPP). The UPP was used to de-stagger the mass and wind fields (and compute wind in earth-relative coordinates), interpolate forecast data to flight levels AGL and to compute diagnostics such as visibility, ceiling height, and radar reflectivity.

Profile and surface data are stored in ascii format for select grid points coincident with up to 3 fixed observation sites set up during LAPSE-RATE (i.e., Saguache, Moffat and Leach Airfield) with a time resolution of 0.666 sec. See README files for details. The 3D output files are stored in grib2 format which are available every 10 min. The grib2 data can be converted to netCDF using a variety of tools such as ncl_convert2nc command available on many linuxOS.

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Details of ascii file names:

XXX.dnn.VV.yyyymmddhh.gz

where

XXX is the location name (SAG - Saguache, MOF - Moffat, LEA - Leach)

nn is the domain number (01,02,03)

VV is the variable (see readme file for details)

yyyymmddhh is the model initialization time (UTC)

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Details of grib2 data files:

Data are stored as follows: one file per forecast lead time using the following file naming convention:

WRFPRS_YYYYMMDDhhmm_dnn.lh_lm

where

hhmm is the hour and minute of the day the model run was initialize

nn = domain number

lh = forecast outlook hour

lm = forecast outlook min

valid_time = hhmm + lhlm

zlevels = (30,80,150,300,500,750,1000,1250,1500,1750,2000,2500,3000,3500,4000,4500,5000 m AGL)

DatasetTemporalCoverage: 14 - 19 July 2018
Forecasts were issued twice per-day and valid between 04:00 and 16:00 LT (10:00 and 22:00 UTC)

Gridded data are stored at 10 min intervals

Interpolated 3D Variables: temperature,pressure,u,v,w,RH,sub-gridscale turbulence kinetic energy, energy dissipation, etc at selected heights AGL

2D Diagnosed variables:
Ceiling height, visibility, precip rate, accumulated precip, precipitable water, vertically- integrated condensed water, downwelling shortwave and longwave radiation at surface, sensible and latent heat flux, 10 m U and V, 2 m T and specific humidity

(UNCLASSIFIED) - In general, transportation infrastructure in Liberia is sub-par by most standards. Likewise, air transportation and modern infrastructure lags behind due to both conflict and a lack of capital investment. That being said, several major airlines operate out of the two international airports in Liberia including Astraeus, Bellview and SN Brussels Airlines as well as Slok Air International and Weasua Air Transport. Roberts International Airport is actually located outside of the capital of Monrovia, but remains the nation’s busiest aviation facility. Spriggs Payne Airport is centrally located in Monrovia but is a smaller facility with only a few arrivals per day. The remaining aviation facilities in the nation consist of unpaved runways in various cities. Some are finished, maintained runways of packed dirt while others are simply grass.Further complicating the travel situation has been the recent outbreak of the Ebola virus. Several airlines have suspended all flights to the country and currently it is unknown when or whether regular service will resume. Many other international airlines have begun considering suspending flights to and from Liberia as well.Attribute Table Field DescriptionsISO3 - International Organization for Standardization 3-digit country code ADM0_NAME - Administration level zero identification / name ADM1_NAME - Administration level one identification / name ADM2_NAME - Administration level two identification / name ADM3_NAME - Administration level three identification / name NAME - Name of airfield TYPE - Classification in the geodatabase (Civil, Military, Dual) ICAO - International Civil Aviation Organization four letter airport location indicator IATA - International Air Transport Association three letter airport location indicator RUNWAY - Paved or unpaved runway N_RUNWAYS - Number of runways R1_SURFACE - Runway surface type (Asphalt, Dirt, Grass, Concrete) R2_SURFACE - Second runway surface type (Asphalt, Dirt, Grass, Concrete) R_LENGTH - Length of runway (meters) R_WIDTH - Runway width (meters) USE - Use description (Regional, Local, International) CUSTOMS - Presence of customs (Yes or No) SPA_ACC Spatial accuracy of site location (1- high, 2 – medium, 3 – low) COMMENTS - Comments or notes regarding the airfield SOURCE_DT - Source one creation date SOURCE - Source one SOURCE2_DT - Source two creation date SOURCE2 - Source two CollectionThe feature class was generated utilizing data from various air transportation websites as well as open source databases. DigitalGlobe imagery was used to assess and when necessary, improve the location of features. The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Sources (HGIS)Aircraft Charter World, "Airports in Liberia." Last modified January 2009. Accessed September 29, 2014. http://www.aircraft-charter-world.com.DigitalGlobe, "DigitalGlobe Imagery Archive." Last updated September 2014. Accessed September 29, 2014. Falling Rain Global Gazetteer, "Directory of Airports in Liberia." Last modified 2010. Accessed September 29, 2014. http://www.fallingrain.com.Great Circle Mapper, "Liberia." Last modified January 2013. Accessed September 29, 2014. http://gc.kls2.com.GeoNames, "Liberia." September 23, 2014. Accessed September 23, 2014. http://www.geonames.org.Google, "Liberia." Last modified September 2014. Accessed September 29, 2014. http://www.google.com.World Airport Codes, "Directory of Airports in Liberia." Last modified 2010. Accessed September 29, 2014. http://www.fallingrain.com.Sources (Metadata)"Transport in Liberia." The Lonely Planet. September 29, 2014. Accessed October 2, 2014. http://www.lonelyplanet.com.Zennie, Michael. "U.S. Airlines in Contact with Government about Ebola Concerns." The Daily Mail, October 2, 2014. Accessed October 2, 2014. http://www.dailymail.co.uk.