86 datasets found
  1. Flights cancellation rate of global airlines due to COVID-19 as of March 23,...

    • statista.com
    Updated May 15, 2020
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    Statista (2020). Flights cancellation rate of global airlines due to COVID-19 as of March 23, 2020 [Dataset]. https://www.statista.com/statistics/1111989/flights-cancelled-airlines-worldwide-covid-19/
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of March 23, 2020, including Emirates Airlines, more than ** airlines suspended their operations by 100 percent, implying all flights were cancelled. Due to coronavirus (COVID-19) outbreak, the aviation industry experiences a huge recession compared to other industries because countries have banned international and domestic travel.

  2. Weekly flights change of global airlines due to COVID-19 as of January 2021

    • statista.com
    Updated Nov 21, 2023
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    Statista (2023). Weekly flights change of global airlines due to COVID-19 as of January 2021 [Dataset]. https://www.statista.com/statistics/1104036/novel-coronavirus-weekly-flights-change-airlines-region/
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    Dataset updated
    Nov 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  3. US Flights with COIVID-19(+) TSA Screening Officer

    • kaggle.com
    Updated Apr 24, 2020
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    Zac Dannelly (2020). US Flights with COIVID-19(+) TSA Screening Officer [Dataset]. https://www.kaggle.com/datasets/dannellyz/us-flights-with-coivid19-tsa-screening-officer/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 24, 2020
    Dataset provided by
    Kaggle
    Authors
    Zac Dannelly
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    COVID-19(+) Interactions Within Air Travel

    Modeling potential interactions between healthy individuals and those carrying COVID-19, denoted hereafter as (+), has been identified as a key methodology in the effort to predict, combat, and respond to COVID-19. In order to contribute to this effort within the domain of airline travel, this dataset allows users to see all flights during the time period from 01MAR-14APR where airline passengers may have come in contact with a COVID-19(+) TSA Screening Agent during their presumed incubation period, 7 days, before that agent went in quarantine.

    Acknowledgements

    Inspiration

    The CORD-19 Research Challenge has been a great inspiration for this effort. Its focus on natural language processing has prompted the need for additional efforts in other statistical machine learning methods, such as those used in the UNCOVER COVID-19 Challenge. With COVID-19 research as a global focal point, I hope that this dataset provides researchers with another set of features to help build models towards finding answers.

    Methodology

    Airline Data Inc. provided airline schedule information for the time period of 01MAR-14APR. This is one of the data products available as a part of their Data Hub. The airline schedule includes information on future and historical airline flights updated in real-time as it is filed by the airlines. This data provides access to origins and destinations, flight times, aircraft types, seats, customized route mapping, and much more. For this work, we focused on getting flight information to include terminals and carriers in order to determine potential contact of passengers and, at the time, unknowingly COVID-19(+) TSA agents. Airline Data Inc. additionally provided the T100 data from March and April of last year. The T100 provides information on particular routes (ORD->JFK) for U.S. domestic and international air service reported by carriers. This dataset includes passenger counts, available seats, load factors, equipment types, cargo, and other operating statistics. These datasets were combined to estimate the number of passengers flying various routes thought the time period in question. Undoubtedly these numbers are much lower than those of the previous year, but we make the assumption that airline travel declined in a relatively equal proportions across the US, making the load factors for last year comparatively accurate. Since the T100 data is only released on a monthly basis, these figures will not be able to be updated until the coming months.

    The Transportation Security Administration posted publicly on their website a list of all Screening and Baggage Officers who tested positive for COVID-19. This list included the airport they worked in, their last day of work, and their work location with shift information. This data was taken and used to down-select the data from Airline Data Inc. to only include those flights that met the following criteria: - Origin airport with COVID-19(+) TSA Officer - Flight took off (the flight schedule data will show all potential flights even those that do not take off) - TSA Officer on shift at time of departure - TSA Officer working in terminal from which the flight departed

  4. Airports with most Easyjet, Tui and Jet2 cancellations due to COVID-19 Spain...

    • statista.com
    Updated May 22, 2024
    + more versions
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    Statista (2024). Airports with most Easyjet, Tui and Jet2 cancellations due to COVID-19 Spain 2020 [Dataset]. https://www.statista.com/statistics/1104988/covid-19-airports-with-the-most-cancellations-of-easyjet-tui-and-jet2-spain/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Spain
    Description

    As a result of the advance of COVID-19, in mid-March 2020 the companies EasyJet, Tui and Jet2 decided to cancel their flights to Spain. The measure especially affected five Spanish airports, which between March and May of that year had more than half a million seats scheduled.

  5. D

    Flight Delay Insurance Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Flight Delay Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-flight-delay-insurance-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Flight Delay Insurance Market Outlook



    The global flight delay insurance market size was approximately USD 2.5 billion in 2023 and is anticipated to reach around USD 6.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.5% during the forecast period. This robust growth is primarily driven by increasing air travel, rising awareness about travel insurance benefits, and advancements in technology facilitating quick claims processing and customer service.



    One of the primary growth factors for the flight delay insurance market is the significant increase in global air travel. With the proliferation of low-cost carriers and more people traveling for both business and leisure, the demand for insurance products that protect against flight delays and cancellations is on the rise. Additionally, the frequent occurrence of delays due to weather conditions, technical issues, and rising air traffic congestion has necessitated the need for flight delay insurance. These factors are collectively contributing to the expansion of the market.



    Another major driver for the flight delay insurance market is the rising awareness among consumers about the benefits of travel insurance. More travelers are becoming cognizant of the financial risks associated with flight delays, including the costs incurred due to unexpected accommodations, meals, and rebooking fees. Educational campaigns by insurance companies and travel agencies are further promoting the importance of securing flight delay insurance, which is expected to drive market growth. Furthermore, the integration of travel insurance with flight bookings on various travel portals is making it easier for consumers to purchase these products.



    Technological advancements are also playing a crucial role in the growth of the flight delay insurance market. With the advent of new technologies such as artificial intelligence and machine learning, insurance companies can now offer more personalized and efficient services. Real-time tracking of flights and automated claims processing are enhancing the customer experience, thereby driving market adoption. Additionally, the use of mobile applications for purchasing and managing travel insurance policies is making these products more accessible to a broader audience, further accelerating market growth.



    In the context of travel insurance, COVID-19 Quarantine Insurance has emerged as a crucial offering in recent years. As the pandemic highlighted the unpredictable nature of global travel, this type of insurance provides coverage for expenses incurred due to mandatory quarantine requirements. Travelers can face unexpected costs for accommodations and meals if they are required to isolate due to exposure or positive test results. By including COVID-19 Quarantine Insurance in their travel plans, individuals can mitigate these financial risks, ensuring peace of mind during their journeys. This insurance type has become increasingly relevant as countries implement varying quarantine protocols, making it an essential consideration for international travelers.



    The regional outlook for the flight delay insurance market shows significant potential across various geographies. North America and Europe are currently the largest markets due to high travel volumes and well-established insurance sectors. However, the Asia-Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid economic development, increasing disposable incomes, and a burgeoning middle class. The Middle East & Africa and Latin America are also anticipated to exhibit substantial growth, supported by expanding tourism industries and improving aviation infrastructure.



    Coverage Type Analysis



    The flight delay insurance market is segmented by coverage type into Trip Cancellation, Trip Interruption, Travel Delay, Baggage Delay, and Others. Trip Cancellation insurance remains one of the most sought-after coverage types, as it provides reimbursement for non-refundable trip costs if a traveler has to cancel their trip due to covered reasons such as illness, severe weather, or other unforeseen events. The growing unpredictability of global events such as pandemics and natural disasters has significantly increased the demand for this type of coverage, making it a crucial component of travel insurance policies.



    Trip Interruption coverage is another critical segment within the flight delay insurance market. This typ

  6. International cargo flights in the U.S. due to COVID-19 in Q1 2020

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). International cargo flights in the U.S. due to COVID-19 in Q1 2020 [Dataset]. https://www.statista.com/statistics/1112007/international-cargo-flights-united-states-covid-19-type/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Mar 2020
    Area covered
    United States
    Description

    In March 2020, the number of international inbound cargo flights in the United States declined to *****. The effect of COVID-19 on the cargo aviation industry is relatively mild. Yet, almost all passenger flights have been cancelled amid the coronavirus outbreak around the globe.

  7. f

    datasheet1_Quantifying the Resilience of the U.S. Domestic Aviation Network...

    • frontiersin.figshare.com
    txt
    Updated Jun 11, 2023
    + more versions
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    Aleksandar Bauranov; Steven Parks; Xuan Jiang; Jasenka Rakas; Marta C. González (2023). datasheet1_Quantifying the Resilience of the U.S. Domestic Aviation Network During the COVID-19 Pandemic.csv [Dataset]. http://doi.org/10.3389/fbuil.2021.642295.s001
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    txtAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    Frontiers
    Authors
    Aleksandar Bauranov; Steven Parks; Xuan Jiang; Jasenka Rakas; Marta C. González
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper analyzes the impacts of COVID-19 pandemic on the United States air transportation network between March and August 2020. Despite dramatic reductions in flight and passenger volumes, the network remained robust and resilient against perturbation. Although 24% of airports closed, the reduction in network efficiency was only 5.1%, which means airlines continued to serve most destinations. A deeper analysis of airport closures reveals that 1) small peripheral airports were the most likely to be closed; 2) socio-economic and epidemiological factors characterizing the airport’s region such as income, income inequality, political leaning, and the number of observed COVID cases were not predictive of airport closure. Finally, we show that high network robustness has a downside: although emissions from United States air traffic in 2020 fell by 37.4% compared to 2019, mostly due to the drop in the number of flights, emissions per passenger doubled in the period April to August 2020 and increased eightfold in the week of April 5–11. This rise indicates inefficient use of resources by airlines.

  8. f

    Data from: Risk of COVID-19 transmission on long-haul flights: during the...

    • figshare.com
    xlsx
    Updated Jul 30, 2024
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    Gye jeong Yeom (2024). Risk of COVID-19 transmission on long-haul flights: during the COVID-19 pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.26406430.v1
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    xlsxAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset provided by
    figshare
    Authors
    Gye jeong Yeom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Risk of COVID-19 transmission on long-haul flights: during the COVID-19 pandemic

  9. Most affected Spanish airports after cancellation of flights from Italy 2020...

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Most affected Spanish airports after cancellation of flights from Italy 2020 [Dataset]. https://www.statista.com/statistics/1103038/spanish-airports-most-affected-after-cancellation-of-flights-to-italy/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Spain
    Description

    As a result of the spread of the coronavirus (COVID-19) in Spain, the central government decided to ban all direct flights from Italy on March 10th, coming into force as of March 11th, 2020. This new effort to contain the transmission of this disease affected the main airports with direct flight connections with Italy, with Barcelona-El Prat as the most stricken by this decision with almost half a million seats affected between March 1st to April 30th, 2020. On the other hand, Madrid was the Spanish autonomous community that was most affected by the spread of the coronavirus during this period, with over five thousand people infected as of March 19, 2020. The impact of the outbreak of this disease was such that the global stock markets were affected. The Spanish IBEX-35 was no exception to that, decreasing by 2500 stock market points during the first days of March.

  10. Opinion of people on how airlines handled the COVID-19 outbreak by country...

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Opinion of people on how airlines handled the COVID-19 outbreak by country 2020 [Dataset]. https://www.statista.com/statistics/1106514/share-people-approve-how-airlines-handled-coronavirus-country/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 16, 2020 - Mar 20, 2020
    Area covered
    Worldwide
    Description

    According to a 2020 survey, ** percent of people surveyed in Japan somewhat agree with how airlines handled the coronavirus outbreak in 2020. The coronavirus outbreak significantly impacted the aviation industry due to travel restrictions resulting in flight cancellations all over the world.

  11. Aircraft Flight Control System AFCS Market size is USD 15.2 billion in 2023

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, Aircraft Flight Control System AFCS Market size is USD 15.2 billion in 2023 [Dataset]. https://www.cognitivemarketresearch.com/aircraft-flight-control-system-afcs-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Aircraft Flight Control System (AFCS) Market size is USD 15.2 billion in 2023 and will expand at a compound annual growth rate (CAGR) of 8.50% from 2023 to 2030.

    The global Aircraft Flight Control System (AFCS) Market will expand significantly by 8.50% CAGR between 2023 and 2030.
    The demand for Aircraft Flight Control System (AFCS) Market is rising due to the various regulations, government spending
    Demand for Hydro-mechanical FCS remains higher in the Aircraft Flight Control System (AFCS) Market.
    The Civilian category held the highest Aircraft Flight Control System (AFCS) Market revenue share in 2023.
    North American Aircraft Flight Control System (AFCS) Market will continue to lead, whereas the European Aircraft Flight Control System (AFCS) Market will experience the most substantial growth until 2030.
    

    Enhanced Safety and Situational Awareness to Provide Viable Market Output

    The usage of advanced flight computers enhances the safety of flight significantly since they automate a huge chunk of flight parameter monitoring activities thereby reducing the pilot's workload. The plethora of functions that can be easily performed by onboard flight control systems help enhance the safety envelope of the aircraft by improving the situational awareness of the pilots and reducing fatigue to a great extent. Additionally, the commercial and military aircraft fleet of various countries is growing across commercial airlines, including narrow-body aircraft, wide-body aircraft, and regional jets.

    For instance, in October 2022, BAE Systems and Supernal, two major flight control system manufacturers, unveiled an agreement to design and develop Supernal's Vertical Take-off and Landing (eVTOL) computer control system. In support of Supernal, BAE Systems will help define the architecture of a light electric flight system for its autonomous aircraft. The electric flight control system is anticipated to safely and efficiently control the aircraft during flight.

    Source-www.ainonline.com/aviation-news/business-aviation/2022-10-19/bae-develops-flight-controls-supernal-evtol

    Emergence of New Aircraft Manufacturers to Propel Market Growth
    

    The emergence of new aircraft manufacturers in the Asia Pacific and Latin American regions is one of the major opportunities for the growth of the aircraft flight control systems market. Commercial Aircraft Corporation of China, Ltd. (COMAC) (China), Embraer SA (Brazil), and Mitsubishi Aircraft Corporation (Japan) are some of the new aircraft manufacturing companies. Mitsubishi Aircraft Corporation is engaged in the production of regional aircraft, while COMAC manufactures commercial, business, and regional aircraft.

    For instance, in July 2023, BAE Systems unveiled the successful completion of PHASA-35 flight over 24 hours; PHASA-35

    Source-www.aerosociety.com/news/exclusive-bae-systems-phasa-35-makes-breakthrough-stratospheric-flight/

    Market Dynamics of the Aircraft Flight Control System (AFCS) Market

    Design Challenges to Restrict Market Growth
    

    Flight control systems are essential for ensuring the proper operation of the aircraft, and hence the safety of the crew and passengers is dependent on the optimal functioning of the system and its subcomponents. Thus, the integrated flight control architecture onboard an aircraft model is required to be designed as per the guidelines formulated by aviation regulatory authorities, and their performance and accuracy are required to be validated prior to obtaining installation type certification.

    Impact of COVID-19 on the Aircraft Flight Control System (AFCS) Market?

    The impact of COVID-19 has been considered when predicting market numbers to provide a clearer view of the market in the past, present, and future. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future. This report also analyses the impact of Coronavirus COVID-19 on the Automatic Flight Control System (AFCS) industry. What is Aircraft Flight Control System (AFCS)?

    A conventional fixed-wing aircraft flight control system (AFC...

  12. U

    United States No. of Flights: SNA Terminal: C

    • ceicdata.com
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    CEICdata.com, United States No. of Flights: SNA Terminal: C [Dataset]. https://www.ceicdata.com/en/united-states/airport-statistics-number-of-flights-by-airport/no-of-flights-sna-terminal-c
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 13, 2025 - Mar 24, 2025
    Area covered
    United States
    Variables measured
    Vehicle Traffic
    Description

    United States No. of Flights: SNA Terminal: C data was reported at 2.000 Unit in 16 May 2025. This stayed constant from the previous number of 2.000 Unit for 15 May 2025. United States No. of Flights: SNA Terminal: C data is updated daily, averaging 2.000 Unit from May 2008 (Median) to 16 May 2025, with 5846 observations. The data reached an all-time high of 6.000 Unit in 05 Nov 2016 and a record low of 0.000 Unit in 11 Sep 2020. United States No. of Flights: SNA Terminal: C data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

  13. m

    America Addresses Two Epidemics Dataset – Cannabis and Coronavirus and their...

    • data.mendeley.com
    • researchdata.edu.au
    Updated May 31, 2020
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    Albert Reece (2020). America Addresses Two Epidemics Dataset – Cannabis and Coronavirus and their Interactions: Combined Geospatial and Causal Inference Study [Dataset]. http://doi.org/10.17632/x22mm7bh34.1
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    Dataset updated
    May 31, 2020
    Authors
    Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Research Hypothesis - That cannabis may predispose to COVID-19 viral infection due to its immunomodulatory, envorinmental contaminants, vaping and smoking inhalation actions.
    Data was analyzed by geospatial and causal inference techniques in R. Data was gathered from publicly available on line sources including: Data were downloaded from Publicly available datasets including: • US Census bureau 2019 • Five Year American Community Survey 2013-2018 • National Survey of Drug Use and Health (NSDUH) • NSDUH Resticted Use Data Analysis System (RDAS) • US Department of Transport International Flight Data • Worldometer Covid -19 Dataset

    Data were collected in the six domains of: • COVID numbers • Fights – numbers of flights and numbers of overseas destionations • Median household income • State ethnic composition • Population and population density • Drug use

    Inverse probability weights were constructed by inverse probability weighting conducted in package ipw in R.

    Geospatial weights were constructed in package spdep in R.

  14. U

    United States No. of Flights: EWR Terminal: C

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States No. of Flights: EWR Terminal: C [Dataset]. https://www.ceicdata.com/en/united-states/airport-statistics-number-of-flights-by-airport/no-of-flights-ewr-terminal-c
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 13, 2025 - Mar 24, 2025
    Area covered
    United States
    Variables measured
    Vehicle Traffic
    Description

    United States No. of Flights: EWR Terminal: C data was reported at 21.000 Unit in 16 May 2025. This records a decrease from the previous number of 26.000 Unit for 15 May 2025. United States No. of Flights: EWR Terminal: C data is updated daily, averaging 20.000 Unit from Oct 2019 (Median) to 16 May 2025, with 2024 observations. The data reached an all-time high of 67.000 Unit in 04 Jan 2020 and a record low of 0.000 Unit in 29 Jan 2022. United States No. of Flights: EWR Terminal: C data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

  15. U

    United States No. of Flights: SLC Terminal: Main

    • ceicdata.com
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    CEICdata.com, United States No. of Flights: SLC Terminal: Main [Dataset]. https://www.ceicdata.com/en/united-states/airport-statistics-number-of-flights-by-airport/no-of-flights-slc-terminal-main
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 13, 2025 - Mar 24, 2025
    Area covered
    United States
    Variables measured
    Vehicle Traffic
    Description

    United States No. of Flights: SLC Terminal: Main data was reported at 8.000 Unit in 16 May 2025. This stayed constant from the previous number of 8.000 Unit for 15 May 2025. United States No. of Flights: SLC Terminal: Main data is updated daily, averaging 7.000 Unit from May 2008 (Median) to 16 May 2025, with 6188 observations. The data reached an all-time high of 15.000 Unit in 23 Feb 2025 and a record low of 0.000 Unit in 31 May 2020. United States No. of Flights: SLC Terminal: Main data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

  16. f

    DataSheet_1_A generalizable and easy-to-use COVID-19 stratification model...

    • frontiersin.figshare.com
    docx
    Updated Mar 27, 2024
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    Xinlei He; Xiao Cui; Zhiling Zhao; Rui Wu; Qiang Zhang; Lei Xue; Hua Zhang; Qinggang Ge; Yuxin Leng (2024). DataSheet_1_A generalizable and easy-to-use COVID-19 stratification model for the next pandemic via immune-phenotyping and machine learning.docx [Dataset]. http://doi.org/10.3389/fimmu.2024.1372539.s001
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    docxAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    Frontiers
    Authors
    Xinlei He; Xiao Cui; Zhiling Zhao; Rui Wu; Qiang Zhang; Lei Xue; Hua Zhang; Qinggang Ge; Yuxin Leng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionThe coronavirus disease 2019 (COVID-19) pandemic has affected billions of people worldwide, and the lessons learned need to be concluded to get better prepared for the next pandemic. Early identification of high-risk patients is important for appropriate treatment and distribution of medical resources. A generalizable and easy-to-use COVID-19 severity stratification model is vital and may provide references for clinicians.MethodsThree COVID-19 cohorts (one discovery cohort and two validation cohorts) were included. Longitudinal peripheral blood mononuclear cells were collected from the discovery cohort (n = 39, mild = 15, critical = 24). The immune characteristics of COVID-19 and critical COVID-19 were analyzed by comparison with those of healthy volunteers (n = 16) and patients with mild COVID-19 using mass cytometry by time of flight (CyTOF). Subsequently, machine learning models were developed based on immune signatures and the most valuable laboratory parameters that performed well in distinguishing mild from critical cases. Finally, single-cell RNA sequencing data from a published study (n = 43) and electronic health records from a prospective cohort study (n = 840) were used to verify the role of crucial clinical laboratory and immune signature parameters in the stratification of COVID-19 severity.ResultsPatients with COVID-19 were determined with disturbed glucose and tryptophan metabolism in two major innate immune clusters. Critical patients were further characterized by significant depletion of classical dendritic cells (cDCs), regulatory T cells (Tregs), and CD4+ central memory T cells (Tcm), along with increased systemic interleukin-6 (IL-6), interleukin-12 (IL-12), and lactate dehydrogenase (LDH). The machine learning models based on the level of cDCs and LDH showed great potential for predicting critical cases. The model performances in severity stratification were validated in two cohorts (AUC = 0.77 and 0.88, respectively) infected with different strains in different periods. The reference limits of cDCs and LDH as biomarkers for predicting critical COVID-19 were 1.2% and 270.5 U/L, respectively.ConclusionOverall, we developed and validated a generalizable and easy-to-use COVID-19 severity stratification model using machine learning algorithms. The level of cDCs and LDH will assist clinicians in making quick decisions during future pandemics.

  17. H

    Replication Data for: Flight to Safety: Covid-Induced Changes in the...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jul 28, 2021
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    James Bisbee; Dan Honig (2021). Replication Data for: Flight to Safety: Covid-Induced Changes in the Intensity of Status Quo Preference and Voting Behavior [Dataset]. http://doi.org/10.7910/DVN/S5YMS7
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 28, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    James Bisbee; Dan Honig
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/S5YMS7https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/S5YMS7

    Description

    Replication materials for review

  18. f

    global_pandemic_sim

    • figshare.com
    zip
    Updated Sep 30, 2022
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    Yixiong Xiao (2022). global_pandemic_sim [Dataset]. http://doi.org/10.6084/m9.figshare.21253269.v1
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    zipAvailable download formats
    Dataset updated
    Sep 30, 2022
    Dataset provided by
    figshare
    Authors
    Yixiong Xiao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Modeling the global dynamics of emerging infectious diseases (EIDs) like COVID-19 can provide important guidance in the preparation and mitigation of pandemic threats. While age-structured transmission models are widely used to simulate the evolution of EIDs, most of these studies focus on the analysis of specific countries and fail to characterize the spatial spread of EIDs across geographic regions. Here, we developed a global pandemic simulator that integrates age-structured disease transmission models across 3,157 cities and explored its usage under several scenarios.

  19. Passenger Air Transport in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 16, 2025
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    IBISWorld (2025). Passenger Air Transport in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/passenger-air-transport/902/
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    Dataset updated
    Aug 16, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Germany
    Description

    German passenger air transport experienced an unprecedented 55.3% slump in industry revenue in 2020 due to the global coronavirus pandemic. Massive flight cancellations, capacity reductions and travel restrictions led to an almost complete standstill in air traffic. The insolvency of the airline Germania had already shaken the industry in the previous year and increased uncertainty among investors and customers. At the same time, competition intensified from foreign low-cost carriers (LCCs) such as Ryanair and Wizz Air, which significantly increased their market share through aggressive pricing strategies and an expansion of their route networks. These developments put additional pressure on established German airlines.In the years between 2020 and 2025, industry sales rose by an average of 22.9% per year. This is due to the high growth rates after the pandemic, which, however, merely represent a recovery from the pandemic-related low. A slight increase is forecast for 2025. Sales are expected to grow by 0.3% to 28.4 billion euros. This growth will be driven by the gradual resumption of flight connections and the stabilisation of passenger demand. Over the past five years, the aviation industry's profit margin has stabilised at a low but stable positive level. The industry has benefited from the ongoing consolidation following the market exit of unprofitable providers such as Air Berlin and Germania. Despite this cautious recovery, the industry continues to face considerable challenges. Since 2022, geopolitical tensions - above all the war in Ukraine - have had an impact on operating costs in the form of permanently higher crude oil prices. As fuel costs make up a large proportion of total costs, they are driving up ticket prices. This reduces the purchasing power of private passengers and restricts business travel.IBISWorld expects slight average growth of 0.3% per year until 2030 with a forecast industry turnover of around 28.9 billion euros. The ongoing market shakeout should enable the remaining airlines to operate more efficiently and strengthen their market position. In addition, climate change is increasingly becoming the focus of social and political attention. Government funding programmes, for example for the expansion and modernisation of Deutsche Bahn, are being significantly expanded. This is increasing competitive pressure in domestic German transport, as environmentally conscious customers are increasingly opting for alternative means of transport. The aviation industry therefore faces the challenging task of combining economic growth, competitive advantages and ecological responsibility in order to continue to operate successfully and sustainably in the future.

  20. Aircraft Flight Control Systems Market by Application and Geography -...

    • technavio.com
    pdf
    Updated Apr 29, 2021
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    Technavio (2021). Aircraft Flight Control Systems Market by Application and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/aircraft-flight-control-systems-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Apr 29, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Description

    Snapshot img

    The aircraft flight control systems market share is expected to increase by USD 1.61 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 3.43%.

    This aircraft flight control systems market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers aircraft flight control systems market segmentation by application (commercial aviation, military aviation, and business aviation) and geography (North America, Europe, APAC, MEA, and South America). The aircraft flight control systems market report also offers information on several market vendors, including BAE Systems Plc, Honeywell International Inc., Liebherr-International AG, Moog Inc., Parker Hannifin Corp., Raytheon Technologies Corp., Saab AB, Safran SA, Thales Group, and Woodward Inc. among others.

    What will the Aircraft Flight Control SystemsMarket Size be During the Forecast Period?

    Download the Free Report Sample to Unlock the Aircraft Flight Control SystemsMarket Size for the Forecast Period and Other Important Statistics

    Aircraft Flight Control SystemsMarket: Key Drivers, Trends, and Challenges

    Based on our research output, there has been a negative impact on the market growth during and post COVID-19 era. The development of technologically advanced, next-generation aircraft components is notably driving the aircraft flight control systems market growth, although factors such as delays in aircraft delivery may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the aircraft flight control systems industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key Aircraft Flight Control SystemsMarket Driver

    The development of technologically advanced, next-generation aircraft components is notably driving the global aircraft flight control market growth. The increasing demand for commercial aircraft and efficient and technologically advanced aircraft components has increased R&D activities in the global aviation industry. Aircraft that are in production must meet the standards by 2023. Therefore, aircraft and their component manufacturers are increasingly focusing on incorporating advanced solutions to enhance aircraft efficiency. This is likely to increase the investments in R&D activities related to advanced electronic components and systems during the forecast period.

    Key Aircraft Flight Control SystemsMarket Trend

    The growing popularity of non-linear aircraft FCSs is the key trend driving the global aircraft flight control market growth. The non-linear control theory helps in analyzing and designing controllers. The varied design requirements and inherent dynamics of multiple flying platforms increase the demand for non-linear and adaptive controls. The baseline controller is tailored for a particular system and developed in accordance with specific mission requirements. For operations in highly uncertain environments, the baseline controller is augmented by an adaptive controller to counter model uncertainties, sensor imperfections, and unknown exogenous disturbances. Keeping in mind the growing technological advances in military aviation and the requirement for fighter aircraft, the demand for non-linear FCSs is expected to become a potential driver for the market in the coming years.

    Key Aircraft Flight Control SystemsMarket Challenge

    The delays in aircraft delivery are the major challenge impeding the global aircraft flight control market growth. The increasing complexity of commercial aircraft design, manufacture, and certification has imposed challenges on timely and quality-assured aircraft delivery. To overcome this challenge, design and manufacturing advances have already been implemented. The manufacturing of an aircraft is a timely process as it involves assembling several systems, components, and parts; therefore, aircraft manufacturers rely heavily on sub-component manufacturers. Any delay in the supply of sub-components leads to an extension of delivery dates. Such delays may also lead to the cancellation of orders from airlines.

    This aircraft flight control systemsmarket analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

    Parent Market Analysis

    Technavio categorizes the global aircraft flight control systems market as a part of the global aerospace & defense market within the global capital goods market. Our research report has extensively covered external factors influencing the parent market growth pot

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Statista (2020). Flights cancellation rate of global airlines due to COVID-19 as of March 23, 2020 [Dataset]. https://www.statista.com/statistics/1111989/flights-cancelled-airlines-worldwide-covid-19/
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Flights cancellation rate of global airlines due to COVID-19 as of March 23, 2020

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 15, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

As of March 23, 2020, including Emirates Airlines, more than ** airlines suspended their operations by 100 percent, implying all flights were cancelled. Due to coronavirus (COVID-19) outbreak, the aviation industry experiences a huge recession compared to other industries because countries have banned international and domestic travel.

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