100+ datasets found
  1. US Airline passenger satisfaction survey

    • kaggle.com
    Updated Oct 28, 2019
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    najib mrh (2019). US Airline passenger satisfaction survey [Dataset]. https://www.kaggle.com/datasets/najibmh/us-airline-passenger-satisfaction-survey
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 28, 2019
    Dataset provided by
    Kaggle
    Authors
    najib mrh
    Description

    Dataset

    This dataset was created by najib mrh

    Contents

    US Airline passenger satisfaction survey

  2. a

    Air Passenger Originations by Airport (2011)

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 12, 2023
    + more versions
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    Metropolitan Washington Council of Governments (2023). Air Passenger Originations by Airport (2011) [Dataset]. https://hub.arcgis.com/maps/mwcog::air-passenger-originations-by-airport-2011-1
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    Dataset updated
    Oct 12, 2023
    Dataset authored and provided by
    Metropolitan Washington Council of Governments
    Area covered
    Description

    The Washington-Baltimore Regional Air Passenger Survey (RAPS) is designed as an at-gate lobby interview survey. Interviewers distribute survey questionnaires to departing air passengers in the gate holding areas for pre-selected flights, and then collect the filled out questionnaires as the passengers complete them or as the passengers are called to board their flight. The Regional Air Passenger Survey is conducted on a biennial basis at the region’s three major commercial airports: Baltimore/Washington International Thurgood Marshall Airport (BWI), Ronald Reagan Washington National Airport (DCA), and Washington Dulles International Airport (IAD). These surveys provide data which are essential for the airport system planning and master planning processes, which shed lights on passengers' airport choice and preference, trip purpose, modes of access, and their demographic characteristics. This dataset includes one of the survey elements, the Air Passenger Originations by Airport, which summarize the amount of passengers in each of the Airport Analysis Zone (AAZ) in 2011, 2013, 2015, 2017, and 2019. A total of 161 AAZs are represented. Trips originated in each AAZ is also categorized into home based and non-home based. This dataset is updated as additional survey data become available. To obtain a copy of the General Findings Report or Geographic Findings Report of the RAPS, please visit the following two websites:Washington-Baltimore Regional Air Passenger Survey - General Findings ReportWashington-Baltimore Regional Air Passenger Survey - Geographic Findings ReportFor more information on regional air systems-related data and survey findings, please visit TPB’s Continuous Airport System Planning Program (CASP) website.

  3. Airline passengers' satisfaction rate by processing steps and type of...

    • statista.com
    Updated Dec 7, 2024
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    Statista (2024). Airline passengers' satisfaction rate by processing steps and type of passenger [Dataset]. https://www.statista.com/statistics/572571/airline-passengers-travel-experience-emotions-per-phase/
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    Dataset updated
    Dec 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the result of a 2020 survey among airline passengers regarding their travel satisfaction rate, based on the stage of their journey and passenger type. The results show a 8.69 satisfaction rate among passengers using technology while on board in comparison with non-technology users who reported a 8.12 satisfaction rate.

  4. c

    Airline Passenger Satisfaction Dataset

    • cubig.ai
    Updated May 2, 2025
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    CUBIG (2025). Airline Passenger Satisfaction Dataset [Dataset]. https://cubig.ai/store/products/226/airline-passenger-satisfaction-dataset
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    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data Introduction • The Airline Passenger Satisfaction dataset contains the Airline Passenger Satisfaction Survey, an important challenge for airlines.

    2) Data Utilization (1) Airline Passenger Satisfaction data has characteristics that: • The dataset includes 24 variables such as gender, consumer type, age, travel type, boarding class, and flight distance, and 20% is test data. (2) Airline Passenger Satisfaction data can be used to: • Factor Analysis: Navigating data to help identify key differences between satisfied and unsatisfied passengers. • Characteristic Importance Analysis: Build a satisfaction prediction model by analyzing the importance of various factors.

  5. U.S. airline industry - bags mishandled 1990-2024

    • statista.com
    Updated Jun 26, 2025
    + more versions
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    Michele Majidi (2025). U.S. airline industry - bags mishandled 1990-2024 [Dataset]. https://www.statista.com/topics/2856/airline-passenger-experience-in-the-us/
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Michele Majidi
    Description

    In 2024, approximately 2.72 million mishandled-baggage reports were filed in the United States. This was a slight increase from 2.7 million files reported in the previous year. Over the given period, this figure fluctuated dramatically, with a peak of 4.4 million mishandled bags registered in 2007.

  6. Punctuality of regional airlines in the U.S. 2024

    • statista.com
    Updated Jun 26, 2025
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    Punctuality of regional airlines in the U.S. 2024 [Dataset]. https://www.statista.com/topics/2856/airline-passenger-experience-in-the-us/
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Michele Majidi
    Area covered
    United States
    Description

    In 2024, Republic Airlines was the most punctual U.S. regional airline, with 84.17 percent of their flights arriving on time, meaning they arrived less than 15 minutes later than scheduled. Hawaiian Airlines followed with an on-time arrival performance (OTP) of 83.58 percent, while Endeavor Air rounded out the top three with an OTP of 82.06 percent.

  7. Passenger Satisfaction

    • kaggle.com
    Updated Jun 10, 2018
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    John D (2018). Passenger Satisfaction [Dataset]. https://www.kaggle.com/johndddddd/customer-satisfaction/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    John D
    Description

    Context

    US Airline passenger satisfaction survey

    Content

    "Satisfaction:Airline satisfaction level(Satisfaction, neutral or dissatisfaction)"

    Age:The actual age of the passengers

    Gender:Gender of the passengers (Female, Male)

    "Type of Travel:Purpose of the flight of the passengers (Personal Travel, Business Travel)"

    "Class:Travel class in the plane of the passengers (Business, Eco, Eco Plus)"

    Customer Type:The customer type (Loyal customer, disloyal customer)

    Flight distance:The flight distance of this journey

    "Inflight wifi service:Satisfaction level of the inflight wifi service (0:Not Applicable;1-5)"

    Ease of Online booking:Satisfaction level of online booking

    Inflight service:Satisfaction level of inflight service

    Online boarding:Satisfaction level of online boarding

    Inflight entertainment:Satisfaction level of inflight entertainment

    Food and drink:Satisfaction level of Food and drink

    Seat comfort:Satisfaction level of Seat comfort

    On-board service:Satisfaction level of On-board service

    Leg room service:Satisfaction level of Leg room service

    Departure/Arrival time convenient:Satisfaction level of Departure/Arrival time convenient

    Baggage handling:Satisfaction level of baggage handling

    Gate location:Satisfaction level of Gate location

    Cleanliness:Satisfaction level of Cleanliness

    Check-in service:Satisfaction level of Check-in service

    Departure Delay in Minutes:Minutes delayed when departure

    Arrival Delay in Minutes:Minutes delayed when Arrival

    Flight cancelled:Whether the Flight cancelled or not (Yes, No)

    Flight time in minutes:Minutes of Flight takes

  8. U.S. airlines with lowest mishandled baggage rate 2024

    • statista.com
    Updated Jun 26, 2025
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    U.S. airlines with lowest mishandled baggage rate 2024 [Dataset]. https://www.statista.com/topics/2856/airline-passenger-experience-in-the-us/
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Michele Majidi
    Description

    Allegiant Air was ranked as the U.S. airline with the lowest mishandled baggage rate in 2024, with 0.2 reports per 100 passengers. In contrast, American Airlines mishandled almost one bag per 100 enplaned passengers that year.

  9. e

    Air Passenger Experience

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    html
    Updated Oct 11, 2021
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    Department for Transport (2021). Air Passenger Experience [Dataset]. https://data.europa.eu/data/datasets/air_passenger_experience
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    htmlAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Department for Transport
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Results from the module of the CAA air passenger survey giving their experiences.

    Source agency: Transport

    Designation: Official Statistics not designated as National Statistics

    Language: English

    Alternative title: Air Passenger Experience

  10. Passenger airlines: technology use by processing steps 2017-2019

    • statista.com
    Updated Dec 7, 2024
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    Statista (2024). Passenger airlines: technology use by processing steps 2017-2019 [Dataset]. https://www.statista.com/statistics/572440/passengers-usage-of-technology-during-air-travel/
    Explore at:
    Dataset updated
    Dec 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the result of a global survey among airline passengers regarding the use of technology during travel from 2017 to 2019, with a breakdown by processing steps. During the 2019 survey, 93 percent of the respondents used technology when booking their flight.

  11. Americans who flew with American Airlines in the past 12 months, by age 2024...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Americans who flew with American Airlines in the past 12 months, by age 2024 [Dataset]. https://www.statista.com/statistics/227443/airline-passengers-of-american-airlines-usa/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Sep 2024
    Area covered
    United States
    Description

    When it comes to share of Americans who flew with American Airlines in the past 12 months, ** percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that ** percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

  12. Airline Passenger Communications System Market by Application and Geography...

    • technavio.com
    Updated Jul 17, 2021
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    Technavio (2021). Airline Passenger Communications System Market by Application and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/airline-passenger-communications-system-market-industry-analysis
    Explore at:
    Dataset updated
    Jul 17, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Airline Passenger Communications System Market - 2021-2025

    The airline passenger communications system market size is expected to reach a value of USD 2.14 billion, at a CAGR of 8.77%, during 2021-2025. This research study helps in a deep understanding of the underlying forces driving the market growth and current and potential target customers across segmentations. According to our comprehensive survey, factors such as the introduction and adoption of 5G network by the aviation industry are projected to significantly support market growth during the forecast period. View our sample report for insights on the latest trends and challenges that will have a far-reaching effect on the market growth.

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    Airline Passenger Communications System Market Segments

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        The airline passenger communications system market size report discusses the current market structure in-depth and how it will shape up during the forecast period based on the entry and exit of market players. At present, the airline passenger communications system market is concentrated and the vendors are deploying growth strategies such as focusing on product features and pricing to gain a competitive advantage. Take a look at our sample report to get an idea of the well-thought-out business planning approaches of key players.
    
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    Airline Passenger Communications System Market - Region Opportunities 2021-2025

    North America will contribute to 35% of the overall airline passenger communications system market growth during the forecast period. The US is the key market for airline passenger communications system market in North America. To unlock exclusive information on potential business markets, economic trends and risks in geographies, and emerging prospective customers buy the report now!

    North America has been exhibiting a significant growth rate for airline passenger communications system market vendors. Factors such as the growing partnerships both for the development and operation of airline passenger communications systems, especially for business jet aviation are accelerating the airline passenger communications system market growth in North America. To view our in-depth analytical review on the micro and macroeconomic factors impacting businesses in the regions click here.

    The airline passenger communications system market share growth in North America will be slower than the growth of the market in regions such as Europe and APAC. To garner further competitive intelligence and regional opportunities in store for vendors, view our sample report.

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    According to our market segment

  13. Japan Airlines: Passenger Carried: International

    • ceicdata.com
    Updated May 15, 2018
    + more versions
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    CEICdata.com (2018). Japan Airlines: Passenger Carried: International [Dataset]. https://www.ceicdata.com/en/japan/airlines-statistics/airlines-passenger-carried-international
    Explore at:
    Dataset updated
    May 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Japan
    Variables measured
    Vehicle Traffic
    Description

    Japan Airlines: Passenger Carried: International data was reported at 1,598.170 Person th in Oct 2018. This records a decrease from the previous number of 1,866.764 Person th for Sep 2018. Japan Airlines: Passenger Carried: International data is updated monthly, averaging 884.704 Person th from Jan 1964 (Median) to Oct 2018, with 658 observations. The data reached an all-time high of 2,108.675 Person th in Aug 2018 and a record low of 16.348 Person th in Jan 1964. Japan Airlines: Passenger Carried: International data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.TA008: Airlines Statistics. For data on international flights, the survey only covers domestic airline companies.

  14. c

    International Passenger Survey, 2019

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
    + more versions
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    Office for National Statistics (2024). International Passenger Survey, 2019 [Dataset]. http://doi.org/10.5255/UKDA-SN-8575-5
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    Dataset updated
    Nov 29, 2024
    Authors
    Office for National Statistics
    Time period covered
    Jan 1, 2019 - Dec 31, 2019
    Area covered
    United Kingdom
    Variables measured
    Individuals, National
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The International Passenger Survey (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.

    Users should note that currently the data covers the first three quarters of 2019 with four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. One file is produced each quarter per subject area, and the dataset updated quarterly. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.

    The depositor recommends that only expert users who are very familiar with the coding and weighting structures use these data, as limited support is available. Some considerable understanding of the data is required before meaningful analyses can be made; care must be taken when performing time series operations as codes can vary from year to year and not all variables from one year's dataset are used in other years.

    Latest edition information

    For the fifth edition (September 2022), a revised Qcontcust 2009-2019 data file was added to the study, with additional category labels added. The data file includes all years from 2009-2019 and users will need to filter the data by year to see cases for individual years.


    Main Topics:

    Each of the four subject areas of this study covers different topics, as it follows:

    • 'Airmiles': quarter; flow; serial; UK port or route; direct leg overseas port; final overseas port; distance from UK port to first port; from first to second port; from UK port to second port
    • 'Alcohol': year; quarter; month; flow; serial; money spent on spirits; wine; beer; champagne; cigarettes; hand-rolled and other tobacco
    • 'Qreg' (covers 2009-2019): year; quarter; month; flow; serial; towns stayed in overnight; details of type of accommodation; number of nights spent in towns; expenditure in towns; regional stay weight; regional visit weight; regional expenditure weight; various validation checks
    • 'Qcontact': year; quarter; month; flow; serial; nationality; country of visit/residence; UK counties; date visit began; purpose of visit; intended length of stay; number of people; package tour and cost; expenditure pre-, post- and during visit; flight prefix and suffix; first carrier air or shipping line; direct leg overseas port; final overseas port; long- or short-haul; type of vehicle; number travelling in vehicle; fare type and cost; class of travel; business trip; type of flight; flight origin or destination; gender; age group; UK port or route; quality of response; date of interview; money transfer, net and total expenditure; type of transport; arrivals (number of adults); departures (type of travelling group, number of adults and children); weighting variables; various validation checks

  15. W

    Air passenger experience of security screening

    • cloud.csiss.gmu.edu
    html
    Updated Dec 26, 2019
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    United Kingdom (2019). Air passenger experience of security screening [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/air_passenger_experience_of_security_screening
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Dec 26, 2019
    Dataset provided by
    United Kingdom
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Results from the module of the CAA air passenger survey giving their experiences.

    Source agency: Transport

    Designation: Official Statistics not designated as National Statistics

    Language: English

    Alternative title: Air passenger experience of security screening

  16. e

    Special Eurobarometer 319: Air Passenger's Rights

    • data.europa.eu
    zip
    Updated Dec 11, 2014
    + more versions
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    Directorate-General for Communication (2014). Special Eurobarometer 319: Air Passenger's Rights [Dataset]. https://data.europa.eu/data/datasets/s821_71_2_ebs319?locale=cs
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    zipAvailable download formats
    Dataset updated
    Dec 11, 2014
    Dataset authored and provided by
    Directorate-General for Communication
    License

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

    Description

    The Directorate-General for Energy and Transport launched this special Eurobarometer study to understand public awareness of the issue. A survey was conducted in 2005 among the then 25 Member States of the European Union. Although the questionnaires have changed since the 2005 survey was conducted, certain elements remain constant and their results are comparable. The report covers the following areas: 1. Use of different transport means 2. Awareness of passengers’ rights 3. Satisfaction of EU passengers with the different aspects of air travel 4. Complaints in case of inconvenience suffered and the contact bodies

    The results by volumes are distributed as follows:
    • Volume A: Countries
    • Volume AA: Groups of countries
    • Volume A' (AP): Trends
    • Volume AA' (AAP): Trends of groups of countries
    • Volume B: EU/socio-demographics
    • Volume B' (BP) : Trends of EU/ socio-demographics
    • Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer
  17. Patterns of Alcohol Use Among Airline Passengers, United States, 2005-2006

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jun 1, 2018
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    Girasek, Deborah C. (2018). Patterns of Alcohol Use Among Airline Passengers, United States, 2005-2006 [Dataset]. http://doi.org/10.3886/ICPSR27869.v1
    Explore at:
    ascii, r, sas, spss, stata, delimitedAvailable download formats
    Dataset updated
    Jun 1, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Girasek, Deborah C.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/27869/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/27869/terms

    Time period covered
    Nov 4, 2005 - Mar 18, 2006
    Area covered
    United States
    Description

    This study was designed to examine the individual and situational factors that are likely to be related to airline passengers' use of alcohol. Specifically, the study sought to identify individual characteristics (e.g., gender, age, reason for travel) that are associated with the amount of alcohol that airline passengers consume in-flight, identify situational characteristics (e.g., duration of flight, time of day, day of week) that are associated with the amount of alcohol that airline passengers consume in-flight, and to quantify the proportion of airline passengers for whom high levels of alcohol consumption may pose a risk to others (i.e., those with a history of alcohol-related aggression, those sitting in an emergency exit row, and those who plan to drive after deplaning). Respondents were asked details about their flight on the day of the survey, occurrence of air travel as well as information on their drinking and cigarette habits. Demographic variables include respondents' race, age, gender, education level, and household income.

  18. Air passenger preferences for proactive notifications 2019

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). Air passenger preferences for proactive notifications 2019 [Dataset]. https://www.statista.com/statistics/539662/passenger-experience-proactive-notification/
    Explore at:
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    The statistic depicts the results of the global passenger survey in 2019 regarding the preferred options air passengers would like to be notified on. In that period, 83 percent of respondents said they would like to be notified about their flight status.

  19. d

    Airline Origin and Destination Survey (OND) - Market-Specific Information -...

    • catalog.data.gov
    Updated Jun 25, 2021
    + more versions
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    Research and Innovative Technology Administration (2021). Airline Origin and Destination Survey (OND) - Market-Specific Information - (Q3 2003) [Dataset]. https://catalog.data.gov/dataset/airline-origin-and-destination-survey-ond-market-specific-information-q3-2003
    Explore at:
    Dataset updated
    Jun 25, 2021
    Dataset provided by
    Research and Innovative Technology Administration
    Description

    The Airline Origin and Destination Survey (DB1B) is a 10% sample of airline tickets from reporting carriers collected by the Office of Airline Information of the Bureau of Transportation Statistics. Data includes origin, destination and other itinerary details of passengers transported. This database is used to determine air traffic patterns, air carrier market shares and passenger flows.

  20. Z

    A survey of German business air traveller

    • data.niaid.nih.gov
    Updated Jul 19, 2024
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    Annika Paul (2024). A survey of German business air traveller [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3961257
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    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Annika Paul
    Ulrike Kluge
    Viola Gissibl
    License

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

    Area covered
    Germany
    Description

    This dataset provides results of a passenger survey from 2017 at Munich airport in Germany (N=67). Within the study, we have examined how relevant factors shaping the modern working world may influence the personal perception of business related air travel. These relevant factors are: (1) Advanced communication technologies, (2) Personal experience and perception, (3) Work structures and requirements towards work, (4) Environment, (5) Alternative transport modes (rail), and (6) Impact of age and life stage. We surveyed business air travellers only. The questionnaire is translated from German to English.

    The raw data and questionnaire can be found attached. We invite researcher to duplicate / repeat the study and increase the country coverage and overall sample size. Please cite accordingly. If you have additional questions, please get in touch with us.

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najib mrh (2019). US Airline passenger satisfaction survey [Dataset]. https://www.kaggle.com/datasets/najibmh/us-airline-passenger-satisfaction-survey
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US Airline passenger satisfaction survey

Satisfaction survey of client

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 28, 2019
Dataset provided by
Kaggle
Authors
najib mrh
Description

Dataset

This dataset was created by najib mrh

Contents

US Airline passenger satisfaction survey

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