This dataset contains patronage statistics for all intrastate air services to and from Sydney airport. This data is collected quarterly under the Air Transport Regulation 2016. The patronage data dates back to 1996/97.

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Aviation data is information about the mechanical flight and aircraft industries. This information includes entry date,entry location date,event location time,location city name etc.

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.

The "flights.csv" dataset contains information about the flights of an airport. This dataset includes information such as departure and arrival time, delays, flight company, flight number, flight origin and destination, flight duration, distance, hour and minute of flight, and exact date and time of flight. This data can be used in management analysis and strategies and provide useful information about the performance of flights and placement companies. The analysis of the data in this dataset can be used as a basis for the following activities: - Analysis of time patterns and trends: by examining the departure and arrival time of the aircraft, changes and time changes, patterns and trends in flight behavior can be identified. - Analysis of American companies: By viewing information about airlines such as the number of flights, the impact and overall performance, you can compare and analyze the performance of each company. - Analysis of delays and service quality: By examining delays and arrival time, I can collect and analyze information about the quality of services provided by the airport and companies. - Analysis of flight routes: by checking the origin and destination of flights, distances and flight duration, popular routes and people's choices can be identified and analyzed. - Analysis of airport performance: by observing the characteristics of flights and airport performance, it is possible to identify and analyze the strengths and weaknesses of the airport and suggest improvements.

It provides various tools for data analysis and visualization and can be used as a basis for managerial decisions in the field of aviation industry.

Airline Company Codes (in order of frequency for this dataset)

WN -- Southwest Airlines Co.

DL -- Delta Air Lines Inc.

AA -- American Airlines Inc.

UA -- United Air Lines Inc.

B6 -- JetBlue Airways

AS -- Alaska Airlines Inc.

NK -- Spirit Air Lines

G4 -- Allegiant Air

F9 -- Frontier Airlines Inc.

HA -- Hawaiian Airlines Inc.

SY -- Sun Country Airlines d/b/a MN Airlines

VX -- Virgin America

Quarterly civil aviation operating statistics (passengers, goods carried (kilograms), passenger-kilometres, passenger tonne-kilometres, goods tonne-kilometres, total tonne-kilometres, hours flown) for scheduled and charter services both separately and combined, for Canadian air carriers, Levels I and II combined. For scheduled services only, operating statistics also include available seat-kilometres, passenger load factor (percent), available tonne-kilometres and weight load factor (percent). Data are expressed in thousands, except for the number of carriers included, which is expressed in full.

Passenger Traffic: French Carrier: Air France data was reported at 46,768,236.000 Person in 2017. This records an increase from the previous number of 45,312,838.000 Person for 2016. Passenger Traffic: French Carrier: Air France data is updated yearly, averaging 42,410,101.000 Person from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 46,866,245.000 Person in 2013 and a record low of 20,298,124.000 Person in 1997. Passenger Traffic: French Carrier: Air France data remains active status in CEIC and is reported by Directorate General for Civil Aviation . The data is categorized under Global Database’s France – Table FR.TA007: Aviation Statistics: General Direction of Civil Aviation .

Success.ai’s Aviation Data provides verified access to professionals across the airlines, aviation, and aerospace industries. Leveraging over 700 million LinkedIn profiles, this dataset delivers actionable insights, contact details, and firmographic data for pilots, engineers, airline executives, aerospace manufacturers, and more. Whether your goal is to market aviation technology, recruit aerospace specialists, or analyze industry trends, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Aviation Data? Comprehensive Professional Profiles

Access verified LinkedIn profiles of pilots, engineers, flight operations managers, safety specialists, and aviation executives. AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency. Global Coverage Across Aviation and Aerospace Sectors

Includes professionals from airlines, airport authorities, aerospace manufacturers, and aviation technology providers. Covers key regions such as North America, Europe, APAC, South America, and the Middle East. Continuously Updated Dataset

Real-time updates reflect changes in roles, organizational affiliations, and professional achievements, ensuring relevant targeting. Tailored for Aviation and Aerospace Insights

Enriched profiles include work histories, areas of specialization, professional certifications, and firmographic data. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a vast network of aviation and aerospace professionals worldwide. 100M+ Work Emails: Communicate directly with pilots, engineers, and airline executives. Enriched Professional Histories: Gain insights into career paths, certifications, and organizational roles. Industry-Specific Segmentation: Target professionals in commercial aviation, aerospace R&D, airport management, and more with precision filters. Key Features of the Dataset: Aviation and Aerospace Professional Profiles

Identify and connect with airline CEOs, aerospace engineers, maintenance technicians, flight safety experts, and other key professionals. Engage with individuals responsible for operational decisions, technology adoption, and aviation safety protocols. Detailed Firmographic Data

Leverage insights into company sizes, fleet compositions, geographic operations, and market focus. Align outreach to match specific industry needs and organizational scales. Advanced Filters for Precision Targeting

Refine searches by region, job role, certifications (e.g., FAA, EASA), or years of experience for tailored outreach. Customize campaigns to address unique aviation challenges such as sustainability, fleet modernization, or safety compliance. AI-Driven Enrichment

Enhanced datasets provide actionable insights for personalized campaigns, highlighting certifications, achievements, and career milestones. Strategic Use Cases: Marketing Aviation Products and Services

Promote aviation technology, flight operations software, or aerospace equipment to airline operators and engineers. Engage with professionals responsible for procurement, fleet management, and airport operations. Recruitment and Talent Acquisition

Target HR professionals and aerospace manufacturers seeking pilots, engineers, and aviation specialists. Simplify hiring for roles requiring advanced technical expertise or certifications. Collaboration and Partnerships

Identify aerospace manufacturers, airlines, or airport authorities for joint ventures, technology development, or service agreements. Build partnerships with key players driving innovation and safety in aviation. Market Research and Industry Analysis

Analyze trends in airline operations, aerospace manufacturing, and aviation technology to inform strategy. Use insights to refine product development and marketing efforts tailored to the aviation industry. Why Choose Success.ai? Best Price Guarantee

Access high-quality Aviation Data at unmatched pricing, ensuring cost-effective campaigns and strategies. Seamless Integration

Easily integrate verified aviation data into CRMs, recruitment platforms, or marketing systems using APIs or downloadable formats. AI-Validated Accuracy

Depend on 99% accurate data to minimize wasted efforts and maximize engagement with aviation professionals. Customizable Solutions

Tailor datasets to specific aviation sectors, geographic regions, or professional roles to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Enhance existing records with verified aviation profiles to refine targeting and engagement. Lead Generation API

Automate lead generation for a consistent pipeline of qualified professionals in the aviation sector, scaling your outreach efficiently. Success.ai’s Aviation Data empowers you to connect with the leaders and innovators shaping the aviation and aerospace industries. With verified conta...

Incheon International Airport operation (flights/passenger/cargo) performance statistics by airport are provided, such as airport, arrival, departure, and total number of flights, based on regular/irregular periodicity (regular periodicity = 0, irregular periodicity = 1), cargo/passenger (null = all, passenger = Y, cargo = N), and international/domestic (null = all, international = I, domestic = D). Monthly data is provided, and 1,000 traffic per day is provided for development accounts and 1,000,000 traffic per day when applying for an operation account. Both development and operation accounts are automatically approved. *Only data up to October 2024 can be viewed. Since November 2024, it has been excluded from information subject to institutional management. Please note that aviation statistics information by airport nationwide can be found on the aviation statistics page of the Korea Airports Corporation website.

Data on flight movements, passengers, cargo and mail at Dutch airports.

Summary of the contents of the EU figure in this publication: The composition of the European Union (EU-15) until 2004: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, The Netherlands, Portugal, Spain, Sweden and United Kingdom. In 2005 the European Union (EU-25) expanded with: Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovakia and Slovenia. In 2007 Bulgaria and Romania have been added (EU-27). In 2014 Croatia was added (EU-28). As of February 2020 the United Kingdom has left the European Union.

Data available from: Annual figures available from 1997; monthly figures available from January 1999.

Status of the figures: The figures are final up to and including 2023, 2024 and for the current year are provisional.

Up to and including December 2020 the figures of EU countries include data for the UK. This to guarantee the comparability of the data. As of January 2021 data for the UK are included in the figures of "other Europe".

As of 8 November 2022 the figures for Eindhoven airport for the reporting period April, May and June 2022 have been adjusted as a result of additional information. As a result, the marginal totals for the months of April, May and June 2022 have also been adjusted.

Due to renovation work on the runway at Maastricht Aachen Airport, there was no air traffic at this airport from 8 May 2023 to 30 June 2023.

Changes as of December 1, 2025: The figures for October 2025 have been added.

When will figures become available? The monthly figures are published as a rule 1 month after the end of the reporting month.

For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The NAS is a highly complex dynamic system that is sensitive to aeronautical decision-making and risk management skills. In order to ensure a healthy system with safe flights a systematic approach to anomaly detection is very important when evaluating a given set of circumstances and for determination of the best possible course of action. Given the fact that the NAS is a vast and loosely integrated network of systems, it requires improved safety assurance capabilities to maintain an extremely low accident rate under increasingly dense operating conditions. Data mining based tools and techniques are required to support and aid operators’ (such as pilots, management, or policy makers) overall decision-making capacity. Within the NAS, the ability to analyze fleetwide aircraft data autonomously is still considered a significantly challenging task. For our purposes a fleet is defined as a group of aircraft sharing generally compatible parameter lists. Here, in this effort, we aim at developing a system level analysis scheme. In this paper we address the capability for detection of fleetwide anomalies as they occur, which itself is an important initiative toward the safety of the real-world flight operations. The flight data recorders archive millions of data points with valuable information on flights everyday. The operational parameters consist of both continuous and discrete (binary & categorical) data from several critical subsystems and numerous complex procedures. In this paper, we discuss a system level anomaly detection approach based on the theory of kernel learning to detect potential safety anomalies in a very large data base of commercial aircraft. We also demonstrate that the proposed approach uncovers some operationally significant events due to environmental, mechanical, and human factors issues in high dimensional, multivariate Flight Operations Quality Assurance (FOQA) data. We present the results of our detection algorithms on real FOQA data from a regional carrier.

Passenger Traffic: French Carrier: XL Airways France data was reported at 652,970.000 Person in 2017. This records a decrease from the previous number of 709,226.000 Person for 2016. Passenger Traffic: French Carrier: XL Airways France data is updated yearly, averaging 859,330.500 Person from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 1,231,422.000 Person in 2010 and a record low of 652,970.000 Person in 2017. Passenger Traffic: French Carrier: XL Airways France data remains active status in CEIC and is reported by Directorate General for Civil Aviation . The data is categorized under Global Database’s France – Table FR.TA007: Aviation Statistics: General Direction of Civil Aviation .

These datasets are patronage statistics for all intrastate air services that fly to and from Sydney, to and from another location within New South Wales. This data is collected quarterly under the Air Transport Regulation 2006.

The patronage data dates back to 1996/97.

The number of aircraft in the United States increased in 2021, estimates holding that the general aviation fleet was ******* aircraft. On the other hand, the for-hire carrier fleet decreased to ***** aircraft. However, it is predicted that the number of for-hire carrier aircraft will slightly increase in 2022, reaching *****. General aviation versus for-hire carriersThe airline industry in the United States is generally divided into two categories: for-hire carriers and general aviation. For-hire carries includes commercial services where an operator agrees to transport passengers, cargo or mail for a fee. General aviation includes basically all others forms of air travel, such as business/personal travel on privately owned aircraft, recreational flying, and other various tasks such as search & rescue, surveying, and photography (among others). Pilots for for-hire carriers are required obtain an ‘airline transport’ license – the highest level of pilot qualification - and are therefore outnumbered by pilots who are qualified only for general aviation. Aviation in the United StatesThe U.S. has one of the largest aviation market of any single country in the world. U.S. airlines transport more passengers than airlines from any other country, and the U.S. is home to around half of the top ten airlines in the world in terms of revenue. This dominance extends into the general aviation sector, with North America having a significantly larger fleet of aircraft for private air travel than any other region. However, when understood at a regional level, the Asia-Pacific region currently maintains a slightly larger commercial aircraft fleet, which is expected to become significantly larger than the North American fleet over the next 20 years.

There were a total of *** non-fatal and *** fatal aviation accidents in the United States in 2023. This number was down from just over 1,206 accidents in U.S. general aviation the year before. The number of fatalities in general aviation accidents in the U.S. also declined.

India Passenger Traffic: International: Sri Lanka data was reported at 2,545,682.000 Person in 2018. This records an increase from the previous number of 2,082,838.000 Person for 2017. India Passenger Traffic: International: Sri Lanka data is updated yearly, averaging 1,193,572.000 Person from Mar 1998 (Median) to 2018, with 21 observations. The data reached an all-time high of 2,545,682.000 Person in 2018 and a record low of 480,089.000 Person in 1998. India Passenger Traffic: International: Sri Lanka 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.TA034: Aviation Statistics: Passenger Traffic: International: by Country.

Aviation Data Platform Market Outlook

According to our latest research, the global aviation data platform market size reached USD 1.84 billion in 2024, demonstrating robust momentum as the industry continues to embrace digital transformation. The market is projected to grow at a significant CAGR of 12.8% from 2025 to 2033, with the total market value expected to reach USD 5.48 billion by 2033. The primary growth driver for the aviation data platform market is the accelerating adoption of advanced analytics and artificial intelligence to optimize flight operations, enhance passenger experiences, and improve maintenance efficiency across the aviation ecosystem. As per our latest research, the demand for integrated data solutions is reshaping how airlines, airports, and MROs manage and utilize vast volumes of operational and customer data.

One of the most significant growth factors propelling the aviation data platform market is the increasing need for real-time data-driven decision-making in the aviation sector. Airlines and airports are under constant pressure to minimize operational costs, improve safety, and deliver seamless passenger experiences. Aviation data platforms empower stakeholders to harness and analyze data from diverse sources, including sensors, IoT devices, and passenger touchpoints, enabling predictive maintenance, optimized fleet utilization, and efficient crew management. As airlines strive for operational excellence, the integration of big data analytics and cloud-based platforms is becoming indispensable, driving substantial investments in aviation data infrastructure. The proliferation of connected aircraft and the growing reliance on digital tools for flight planning and disruption management further underscore the market’s upward trajectory.

Another critical factor fueling the aviation data platform market is the heightened focus on predictive maintenance and asset management. The aviation industry incurs substantial costs due to unplanned maintenance and operational downtime. By leveraging advanced analytics, machine learning, and IoT-enabled data collection, aviation data platforms facilitate the early detection of potential failures, optimizing maintenance schedules and reducing aircraft-on-ground incidents. This not only enhances aircraft availability and safety but also delivers significant cost savings for airlines and MROs. The growing emphasis on sustainability and fuel efficiency has also prompted stakeholders to invest in data-driven solutions that monitor and optimize fuel consumption, emissions, and route planning, further boosting the adoption of aviation data platforms globally.

The ongoing digital transformation in the aviation industry, coupled with rising passenger expectations for personalized services, is another vital growth factor for the aviation data platform market. Airlines and airports are increasingly deploying data platforms to gain actionable insights into passenger preferences, travel patterns, and service feedback. This enables the delivery of tailored offerings, dynamic pricing, and enhanced loyalty programs, ultimately fostering customer satisfaction and brand loyalty. The convergence of aviation data platforms with emerging technologies such as artificial intelligence, blockchain, and edge computing is unlocking new opportunities for innovation, agility, and competitive differentiation in a rapidly evolving marketplace.

Regionally, North America continues to dominate the aviation data platform market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The presence of leading airlines, advanced airport infrastructure, and a strong ecosystem of technology providers has positioned North America as a frontrunner in digital aviation initiatives. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid air traffic expansion, increasing airline investments in digital transformation, and supportive government policies. Europe remains a key market, benefiting from stringent regulatory standards and a focus on sustainability and operational efficiency. Latin America and the Middle East & Africa are also emerging as promising regions, fueled by ongoing airport modernization projects and rising air travel demand.

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.

Backup of the now-defunct "aircraft-database.com" online database of aircraft and aircraft engines, re-published under the original Open Data Commons Attribution License.