100+ datasets found
  1. Airport Schedules API - Real-Time Airport Timetable Data

    • datarade.ai
    .json
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    Aviation Edge, Airport Schedules API - Real-Time Airport Timetable Data [Dataset]. https://datarade.ai/data-products/aviation-edge-airport-schedules-api-aviation-edge
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    .jsonAvailable download formats
    Dataset provided by
    Authors
    Aviation Edge
    Area covered
    Tuvalu, Namibia, Kyrgyzstan, Cuba, Norway, Somalia, Venezuela (Bolivarian Republic of), Bahamas, Andorra, Congo (Democratic Republic of the)
    Description

    The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

    The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

    Example response from the API:

    [ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

    Output:

    For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

    For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

  2. Flights Tracker API - Live Airplane Location Data

    • datarade.ai
    .json
    Updated Feb 26, 2021
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    Aviation Edge (2021). Flights Tracker API - Live Airplane Location Data [Dataset]. https://datarade.ai/data-products/aviation-edge-global-flight-tracker-api-aviation-edge
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    .jsonAvailable download formats
    Dataset updated
    Feb 26, 2021
    Dataset provided by
    Authors
    Aviation Edge
    Area covered
    Bahrain
    Description

    You can get all global flight information in 1 API call or track flights based on flight number, airline, departure/arrival airport, and more. The data updates frequently, around every 5 minutes. The details of the data include:

    Geography: Location information such as latitude, longitude, altitude, and direction. Speed: Vertical and horizontal speed of aircraft. Departure and arrival: IATA codes and ICAO codes of the departure and arrival airport. Aircraft and flight: IATA and ICAO number of flight and registration number, ICAO code, and ICAO24 code of aircraft. Airline: IATA code, and ICAO code of airline. System information: Squawk, status, and last updated in Epoch.

    Here's an example response from the API: [ { "geography": { "latitude": 43.5033, "longitude": -79.1297, "altitude": 7833.36, "direction": 70 }, "speed": { "horizontal": 833.4, "isGround": 0, "vertical": 0 }, "departure": { "iataCode": "YHM", "icaoCode": "CYHM" }, "arrival": { "iataCode": "YQM", "icaoCode": "CYQM" }, "aircraft": { "icaoCode": "B763", "regNumber": "CGYAJ", "icao24": "C08412" }, "airline": { "iataCode": "W8", "icaoCode": "CJT" }, "flight": { "iataNumber": "W8620", "icaoNumber": "CJT620", "number": "620" }, "system": { "updated": 1513148168, "squawk": "0000" }, "status": "en-route" } ]

    Developer Information:

    1) Available Endpoints &depIata= &depIcao= &arrIata= &arrIcao= &aircraftIcao= &regNum= &aircraftIcao24= &airlineIata= &airlineIcao= &flightIata= &flightIcao= &flightNum= &status= &limit= &lat=&lng=&distance=

    2) Flights Tracker API Output

    Specific flight based on: Flight IATA Number: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&flightIata=W8519

    All flights of a specific Airlines: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&airlineIata=W8

    Flights from departure location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=MAD

    Flights from arrival location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&arrIata=GIG

    Flights within a circle area based on lat and lng values and radius as the distance: GET https://aviation-edge.com/v2/public/flights?key=[API_KEY]&lat=51.5074&lng=0.1278&distance=100&arrIata=LHR

    Combinations: two airports and a specific airline flying between them: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=ATL&arrIata=ORD&airlineIata=UA

  3. a

    Global Airline Routes

    • fesec-cesj.opendata.arcgis.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • +1more
    Updated May 30, 2018
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    ArcGIS StoryMaps (2018). Global Airline Routes [Dataset]. https://fesec-cesj.opendata.arcgis.com/datasets/Story::global-airline-routes
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    Dataset updated
    May 30, 2018
    Dataset authored and provided by
    ArcGIS StoryMaps
    Area covered
    Africa
    Description

    This layer visualizes over 60,000 commercial flight paths. The data was obtained from openflights.org, and was last updated in June 2014. The site states, "The third-party that OpenFlights uses for route data ceased providing updates in June 2014. The current data is of historical value only. As of June 2014, the OpenFlights/Airline Route Mapper Route Database contains 67,663 routes between 3,321 airports on 548 airlines spanning the globe. Creating and maintaining this database has required and continues to require an immense amount of work. We need your support to keep this database up-to-date."To donate, visit the site and click the PayPal link.Routes were created using the XY-to-line tool in ArcGIS Pro, inspired by Kenneth Field's work, and following a modified methodology from Michael Markieta (www.spatialanalysis.ca/2011/global-connectivity-mapping-out-flight-routes).Some cleanup was required in the original data, including adding missing location data for several airports and some missing IATA codes. Before performing the point to line conversion, the key to preserving attributes in the original data is a combination of the INDEX and MATCH functions in Microsoft Excel. Example function: =INDEX(Airlines!$B$2:$B$6200,MATCH(Routes!$A2,Airlines!$D$2:Airlines!$D$6200,0))                                                

  4. Global air traffic - number of flights 2004-2024

    • statista.com
    Updated Oct 11, 2024
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    Statista (2024). Global air traffic - number of flights 2004-2024 [Dataset]. https://www.statista.com/statistics/564769/airline-industry-number-of-flights/
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    Dataset updated
    Oct 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  5. I

    India All Scheduled Airlines: International: Passenger Load Factor

    • ceicdata.com
    Updated Mar 7, 2025
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    India All Scheduled Airlines: International: Passenger Load Factor [Dataset]. https://www.ceicdata.com/en/india/airline-statistics-all-scheduled-airlines/all-scheduled-airlines-international-passenger-load-factor
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    Dataset updated
    Mar 7, 2025
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    India
    Variables measured
    Passenger Turnover
    Description

    India All Scheduled Airlines: International: Passenger Load Factor data was reported at 83.599 % in Dec 2024. This records a decrease from the previous number of 83.851 % for Nov 2024. India All Scheduled Airlines: International: Passenger Load Factor data is updated monthly, averaging 74.300 % from Jan 1996 (Median) to Dec 2024, with 343 observations. The data reached an all-time high of 87.311 % in Dec 2023 and a record low of 46.397 % in May 2021. India All Scheduled Airlines: International: Passenger Load Factor data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under Global Database’s India – Table IN.TA019: Airline Statistics: All Scheduled Airlines.

  6. Commercial airlines worldwide - passenger load factor 2005-2024

    • statista.com
    Updated Jul 29, 2024
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    Statista (2024). Commercial airlines worldwide - passenger load factor 2005-2024 [Dataset]. https://www.statista.com/statistics/658830/passenger-load-factor-of-commercial-airlines-worldwide/
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    Dataset updated
    Jul 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global airlines' combined passenger load factor has been gradually trending upward over the last 15 years; from 75.2 percent in 2005 to 82.6 percent in 2019. In 2020, due to the coronavirus pandemic, passenger load factor dropped to 65 percent. However, it rebounded and forecast to reach 82,5 percent in 2024.
    Passenger load factor Passenger load factor (PLF) is a measure of how much of an airline’s passenger carrying capacity has been utilized. It is calculated by dividing the revenue passenger kilometers, which is the total number of kilometers flown by passengers, by the available seat kilometers, which is the total number of kilometers flown for every seat in an aircraft (regardless of whether it has been filled or not). A higher passenger load factor therefore means that there are less empty seats on each aircraft, but does not indicate anything about changes in the total number of kilometers flown per passenger or per seat . PLF and profitability As airlines have fixed costs associated with every flight, a higher PLF will generally mean a higher profit margin for airlines. PLF is only one factor affecting total profitability though, meaning increases in PLF do not necessarily correspond with higher profits. In particular, the cost of airline fuel, which can be highly variable, has a strong effect on the operating margin of airlines. This can be seen clearly in through the jump in profitability from 2014 to 2015, which corresponds with a steep drop in the expenditure required for fuel.

  7. Aviation Facilities

    • catalog.data.gov
    • gimi9.com
    • +9more
    Updated Mar 1, 2025
    + more versions
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    Federal Aviation Administration (FAA) (Point of Contact) (2025). Aviation Facilities [Dataset]. https://catalog.data.gov/dataset/aviation-facilities1
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Federal Aviation Administrationhttp://www.faa.gov/
    Description

    The Aviation Facilities dataset is updated every 28 days from the Federal Aviation Administration (FAA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Aviation Facilities dataset is a geographic point database of all official and operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. For more information about these data, please visit: https://www.faa.gov/air_traffic/flight_info/aeronav/Aero_Data/NASR_Subscription. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529011

  8. Airline Routes API - Passive Airline Route Data

    • datarade.ai
    .json
    Updated Mar 14, 2021
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    Aviation Edge (2021). Airline Routes API - Passive Airline Route Data [Dataset]. https://datarade.ai/data-products/aviation-edge-airline-routes-api-aviation-edge
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    .jsonAvailable download formats
    Dataset updated
    Mar 14, 2021
    Dataset provided by
    Authors
    Aviation Edge
    Area covered
    Congo, Nicaragua, Nepal, Burundi, Mauritius, Cambodia, South Sudan, Paraguay, Zimbabwe, Indonesia
    Description

    You can connect to the actual flight routes around the world with your API key at any time with very fast response times. It is possible to view all routes at the same time via a single API key. For your convenience, we have also developed many different filters so that you can pull the exact data you are looking for. This way, you may get data of the routes of a specific airline, routes from or to a specific airport (both IATA and ICAO codes work), or may get an individual flight based on its flight number.

    A common use of the air routes API is to develop software in the aviation industry. While Aviation Edge’s focus is to collect and maintaining aviation data, you are free to develop countless applications, tools, and platforms by using our data.

    The details included in the routes data are: Departure data: IATA code, ICAO code, terminal, and time. Arrival data: IATA code, ICAO code, terminal, and time. Airline: IATA code of airline. Flight: Flight number. Aircraft: Registration number of the aircraft.

    Here's an example response from the API: [ { "departureIata": "OTP", "departureIcao": "LROP", "departureTerminal": 2, "departureTime": "09:15:00", "arrivalIata": "TRN", "arrivalIcao": "LIMF", "arrivalTerminal": 1, "arrivalTime": "10:45:00", "airlineIata": "0B", "airlineIcao": "BMS", "flightNumber": "101", "codeshares": null, "regNumber": "YR-BAP" } ]

    Developer information: 1) Available Endpoints &departureIata= &departureIcao= &airlineIata= &airlineIcao= &flightNumber=

    2) Output Airports, Airlines or Flights routes output: GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIcao=LROP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIata=0B GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIcao=BMS GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&flightNumber=101 For information about a specific route (example). GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP&airlineIata=0B&flightNumber=101

  9. F

    Revenue Passenger Miles for U.S. Air Carrier Domestic and International,...

    • fred.stlouisfed.org
    json
    Updated Mar 12, 2025
    + more versions
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    (2025). Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights [Dataset]. https://fred.stlouisfed.org/series/RPM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (RPM) from Jan 2000 to Nov 2024 about flight, miles, passenger, air travel, travel, revenue, domestic, and USA.

  10. W

    International Airlines - Airline by country of port data

    • cloud.csiss.gmu.edu
    • researchdata.edu.au
    • +2more
    csv, txt
    Updated Dec 14, 2019
    + more versions
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    Australia (2019). International Airlines - Airline by country of port data [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/international-airlines-airline-by-country-of-port-data
    Explore at:
    csv(2936178), txtAvailable download formats
    Dataset updated
    Dec 14, 2019
    Dataset provided by
    Australia
    License

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

    Description

    Scheduled operations of international airlines operating to and from Australia. Data on Passengers, freight and mail carried by airline by uplift/discharge country within single flight number services.

  11. Airline Route Profitability Software Market Analysis North America, Europe,...

    • technavio.com
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    Technavio, Airline Route Profitability Software Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, China, UK, France, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/airline-route-profitability-software-market-industry-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    China, United Kingdom, Germany, France, United States, Global
    Description

    Snapshot img

    Airline Route Profitability Software Market Size 2024-2028

    The airline route profitability software market size is forecast to increase by USD 19.32 billion at a CAGR of 8.12% between 2023 and 2028.

    The market is experiencing significant growth due to the increasing requirement for advanced software solutions by airlines. Governments In the Asia-Pacific region are making substantial investments and implementing schemes to revive commercial airlines, which is contributing to market expansion. 
    However, the market is facing challenges such as the decline in air passenger traffic and flight cancellations, which are negatively impacting revenue growth for LCCs. To mitigate these challenges, airlines are turning to route profitability software to optimize their operations, improve efficiency, and enhance passenger experience. The software enables airlines to analyze data, identify profitable routes, and make informed decisions on pricing and capacity.
    This, in turn, helps airlines to increase revenue and maintain competitiveness in the market. The market is expected to witness steady growth In the coming years as airlines continue to adopt advanced technologies to enhance their operational capabilities and meet the evolving needs of passengers.
    

    What will be the Size of the Airline Route Profitability Software Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth as airlines seek to optimize their operations In the face of evolving industry dynamics. Amidst ongoing aviation disruptions, including passenger traffic fluctuations and trade restrictions, the demand for advanced software suites that enable data-driven research, pricing, and resource allocation has surged. 
    These solutions leverage artificial intelligence, augmented reality, virtual reality, mobile technology, conversational commerce, and other innovative technologies to improve route planning, operational efficiency, and cost management. Key market drivers include increasing competition, passenger demand volatility, and operational costs, particularly fuel costs. The domestic airline segment is a major focus, as airlines look to optimize their networks and pricing strategies to maximize profits.
    The market is expected to continue expanding, as airlines increasingly rely on technology to navigate the complexities of commercial aircraft and adapt to shifting market conditions.
    

    How is this Airline Route Profitability Software Industry segmented and which is the largest segment?

    The airline route profitability software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Planning and scheduling
      Revenue management
      Fares management and pricing
      Others
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
        France
    
    
      APAC
    
        China
    
    
      Middle East and Africa
    
    
    
      South America
    

    By Type Insights

    The planning and scheduling segment is estimated to witness significant growth during the forecast period.
    

    Airline route profitability software is a crucial tool for aviation companies to optimize their operations and enhance profitability. Amidst lockdowns and reduced passenger traffic, the need for data-driven research and resource allocation has become more critical than ever. Advanced software suites, incorporating AI, augmented reality, virtual reality, mobile technology, conversational commerce, and real-time data, enable airlines to analyze their product mix, distribution channels, and supplier relationships. These solutions provide insights into passenger demand, ticket pricing, operational costs, fuel costs, competition, and regulatory changes. By optimizing route planning, scheduling, and operational efficiency, airlines can identify cost-saving opportunities and make informed decisions.

    The software allows for accurate forecasting, scheduling complexities, and adapting to travel restrictions and reduced passenger demand. Global and regional players In the market offer comprehensive data, including passenger data, to help airlines maximize profitability and maintain cost efficiency In their revenue management strategies.

    Get a glance at the Airline Route Profitability Software Industry report of share of various segments Request Free Sample

    The Planning and scheduling segment was valued at USD 11.76 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 34% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions

  12. M

    Mexico No. of Domestic Flights: Mexican Airlines: Leo Lopez Air Service

    • ceicdata.com
    Updated Dec 15, 2022
    + more versions
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    CEICdata.com (2022). Mexico No. of Domestic Flights: Mexican Airlines: Leo Lopez Air Service [Dataset]. https://www.ceicdata.com/en/mexico/number-of-domestic-flights/no-of-domestic-flights-mexican-airlines-leo-lopez-air-service
    Explore at:
    Dataset updated
    Dec 15, 2022
    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
    Jan 1, 2017 - Dec 1, 2017
    Area covered
    Mexico
    Description

    Mexico No. of Domestic Flights: Mexican Airlines: Leo Lopez Air Service data was reported at 0.000 Number in Dec 2017. This stayed constant from the previous number of 0.000 Number for Nov 2017. Mexico No. of Domestic Flights: Mexican Airlines: Leo Lopez Air Service data is updated monthly, averaging 0.000 Number from Jan 1992 (Median) to Dec 2017, with 312 observations. The data reached an all-time high of 164.000 Number in Jun 1994 and a record low of 0.000 Number in Dec 2017. Mexico No. of Domestic Flights: Mexican Airlines: Leo Lopez Air Service data remains active status in CEIC and is reported by Secretary of Tourism. The data is categorized under Global Database’s Mexico – Table MX.TA005: Number of Domestic Flights.

  13. Global air traffic - scheduled passengers 2004-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 11, 2024
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    Statista (2024). Global air traffic - scheduled passengers 2004-2024 [Dataset]. https://www.statista.com/statistics/564717/airline-industry-passenger-traffic-globally/
    Explore at:
    Dataset updated
    Oct 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  14. Global export data of Airlines

    • volza.com
    csv
    Updated Mar 21, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Airlines [Dataset]. https://www.volza.com/p/airlines/export/export-from-france/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    72566 Global export shipment records of Airlines with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  15. Global import data of Airlines

    • volza.com
    csv
    Updated Mar 22, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Airlines [Dataset]. https://www.volza.com/imports-india/india-import-data-of-airlines-to-oman
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    316 Global import shipment records of Airlines with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  16. d

    Global Airways & Waypoints Data

    • datarade.ai
    Updated Mar 5, 2024
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    Keyvan Aviation (2024). Global Airways & Waypoints Data [Dataset]. https://datarade.ai/data-products/global-airways-waypints-data-keyvan-aviation
    Explore at:
    .bin, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset authored and provided by
    Keyvan Aviation
    Area covered
    Australia, Bahrain
    Description

    Data process and quality checks perform as per ED-76A (DO-200B) international standard and ED-77 (DO-201B) Data requirements, match with EU Regulation 2017/373 and under the EASA Type 1 DAT Provider Certificate. The final database was delivered as per ARINC424 standard and format (Version 22) and customized to each customer’s needs and requirements. data could be delivered in any other database formats. Data used to create KEYVAN Aeronautical Database generated by analyzing the AIP , AIC and NOTAMs received from 195 countries every 28 days. KEYVAN Aviation implemented Data Quality Requirements (DQR) and Aeronautical Information Processing Procedures to process the data and create the final database, and all processes audited and approved by European Aviation Safety Agency (EASA) and Type 1 DAT Provider Certificate issued with Reference no. EASA.AOA.DAT.033 . You will enjoy trusted data when you are using KEYVAN Aviation database.

  17. M

    Mexico No. of Passengers: Intl: American Airlines: Midway Airlines

    • ceicdata.com
    + more versions
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    CEICdata.com, Mexico No. of Passengers: Intl: American Airlines: Midway Airlines [Dataset]. https://www.ceicdata.com/en/mexico/number-of-passengers-international-flights/no-of-passengers-intl-american-airlines-midway-airlines
    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
    Jan 1, 2017 - Dec 1, 2017
    Area covered
    Mexico
    Description

    Mexico No. of Passengers: Intl: American Airlines: Midway Airlines data was reported at 0.000 Person in Dec 2017. This stayed constant from the previous number of 0.000 Person for Nov 2017. Mexico No. of Passengers: Intl: American Airlines: Midway Airlines data is updated monthly, averaging 0.000 Person from Jan 1992 (Median) to Dec 2017, with 312 observations. The data reached an all-time high of 5,324.000 Person in Mar 1996 and a record low of 0.000 Person in Dec 2017. Mexico No. of Passengers: Intl: American Airlines: Midway Airlines data remains active status in CEIC and is reported by Secretary of Tourism. The data is categorized under Global Database’s Mexico – Table MX.TA008: Number of Passengers: International Flights.

  18. Future Schedules API - Future Airport Timetable Data

    • datarade.ai
    .json
    Updated Jan 30, 2022
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    Future Schedules API - Future Airport Timetable Data [Dataset]. https://datarade.ai/data-products/future-schedules-api-future-airport-timetable-data-aviation-edge
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jan 30, 2022
    Dataset provided by
    Authors
    Aviation Edge
    Area covered
    Albania, Christmas Island, Yemen, Cabo Verde, Myanmar, Lithuania, Uganda, Senegal, Niue, Lao People's Democratic Republic
    Description

    The Future Schedules API is perfect for: • Travel agency and flight booking websites where users are expected to submit a date and view available flights • Websites, tools or apps to display scheduled flights on a given date • Flight schedule and airway traffic analysis based on region or dates

    We have developed many filters you can use in the input to request the exact data you need without having to filter the data on your end.

    The data includes: - Departure and arrival airport information: IATA codes - Weekday: The day of the week of the flight, "1" being Monday - Terminal and gate: The most common terminal and the gate number of the departing/arriving flight - Take-off information: Scheduled departure or arrival time of the flight - Aircraft details: Model code and text - Airline details: Name, IATA and ICAO codes - Flight information: Flight number with flight IATA and ICAO codes

    1) Request For the departure schedule of a certain airport on a certain future date.

    GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&date=YYYY-MM-DD

    For the arrival schedule of a certain airport on a certain future date.

    GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&date=YYYY-MM-DD

    For the flights that are scheduled to arrive at a certain airport on a certain date (out of a departure schedule).

    GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&arr_iataCode=ORY&date=YYYY-MM-DD

    For the flights that are scheduled to depart from a certain airport on a certain date (out of an arrival schedule).

    GET https://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&dep_iataCode=ory&date=YYYY-MM-DD

    2) Filters &iata_code= (obligatory) Departure or arrival airport IATA code depending on the "&type=" value &type= (obligatory) Either "departure" or "arrival" as both within the same query is not possible &date= (obligatory) Future date in YYYY-MM-DD format

    &dep_iataCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport IATA code &dep_icaoCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport ICAO code &arr_iataCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport IATA code &arr_icaoCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport ICAO code &airline_iata= option to filter airline based on airline IATA code &airline=icao= option to filter airline based on airline ICAO code &flight_num= option to filter a specific flight based on its flight number

    3) Example Output: [ {"weekday": "1", "departure": { "iataCode": "mty", "icaoCode": "mmmy", "terminal": "c", "gate": "f2", "scheduledTime": "20:35" }, "arrival": {"iataCode": "iah", "icaoCode": "kiah", "terminal": "d", "gate": "d12", "scheduledTime": "22:00" }, "aircraft": {"modelCode": "a320", "modelText": "airbus a320-232" }, "airline": {"name": "vivaaerobus", "iataCode": "vb", "icaoCode": "viv"}, "flight": {"number": "616", "iataNumber": "vb616", "icaoNumber": "viv616"} } ]

    Note: Schedules that are up to 1 year ahead of the current date are available.

  19. M

    Mexico No. of Intl Flights: American Airlines: Sky Ways

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Mexico No. of Intl Flights: American Airlines: Sky Ways [Dataset]. https://www.ceicdata.com/en/mexico/number-of-international-flights/no-of-intl-flights-american-airlines-sky-ways
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Jan 1, 2017 - Dec 1, 2017
    Area covered
    Mexico
    Description

    Mexico No. of Intl Flights: American Airlines: Sky Ways data was reported at 0.000 Number in Dec 2017. This stayed constant from the previous number of 0.000 Number for Nov 2017. Mexico No. of Intl Flights: American Airlines: Sky Ways data is updated monthly, averaging 0.000 Number from Jan 1992 (Median) to Dec 2017, with 312 observations. The data reached an all-time high of 14.000 Number in Sep 2005 and a record low of 0.000 Number in Dec 2017. Mexico No. of Intl Flights: American Airlines: Sky Ways data remains active status in CEIC and is reported by Secretary of Tourism. The data is categorized under Global Database’s Mexico – Table MX.TA006: Number of International Flights.

  20. M

    Mexico No. of Intl Flights: American Airlines: Northwest Airlines

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Mexico No. of Intl Flights: American Airlines: Northwest Airlines [Dataset]. https://www.ceicdata.com/en/mexico/number-of-international-flights/no-of-intl-flights-american-airlines-northwest-airlines
    Explore at:
    Dataset updated
    Jan 15, 2025
    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
    Jan 1, 2017 - Dec 1, 2017
    Area covered
    Mexico
    Description

    Mexico No. of Intl Flights: American Airlines: Northwest Airlines data was reported at 0.000 Number in Dec 2017. This stayed constant from the previous number of 0.000 Number for Nov 2017. Mexico No. of Intl Flights: American Airlines: Northwest Airlines data is updated monthly, averaging 114.000 Number from Jan 1992 (Median) to Dec 2017, with 312 observations. The data reached an all-time high of 1,244.000 Number in Mar 2008 and a record low of 0.000 Number in Dec 2017. Mexico No. of Intl Flights: American Airlines: Northwest Airlines data remains active status in CEIC and is reported by Secretary of Tourism. The data is categorized under Global Database’s Mexico – Table MX.TA006: Number of International Flights.

Share
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Aviation Edge, Airport Schedules API - Real-Time Airport Timetable Data [Dataset]. https://datarade.ai/data-products/aviation-edge-airport-schedules-api-aviation-edge
Organization logo

Airport Schedules API - Real-Time Airport Timetable Data

Explore at:
.jsonAvailable download formats
Dataset provided by
Authors
Aviation Edge
Area covered
Tuvalu, Namibia, Kyrgyzstan, Cuba, Norway, Somalia, Venezuela (Bolivarian Republic of), Bahamas, Andorra, Congo (Democratic Republic of the)
Description

The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

Example response from the API:

[ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

Output:

For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

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