Graph and download economic data for Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average (CUSR0000SETG01) from Jan 1989 to Sep 2025 about air travel, travel, urban, consumer, CPI, price index, indexes, price, and USA.

Quarterly domestic (short and long haul) and international air fares, by fare type group (business class, economy, discounted and other).

About Dataset:

This dataset provides detailed information on airline flight routes, fares, and passenger volumes within the United States from 1993 to 2024.

Data Features:

1. tbl: Table identifier 2. Year: Year of the data record 3. quarter: Quarter of the year (1-4) 4. citymarketid_1: Origin city market ID 5. citymarketid_2: Destination city market ID 6. city1: Origin city name 7. city2: Destination city name 8. airportid_1: Origin airport ID 9. airportid_2: Destination airport ID 10. airport_1: Origin airport code 11. airport_2: Destination airport code 12. nsmiles: Distance between airports in miles 13. passengers: Number of passengers 14. fare: Average fare 15. carrier_lg: Code for the largest carrier by passengers 16. large_ms: Market share of the largest carrier 17. fare_lg: Average fare of the largest carrier 18. carrier_low: Code for the lowest fare carrier 19. lf_ms: Market share of the lowest fare carrier 20. fare_low: Lowest fare 21. Geocoded_City1: Geocoded coordinates for the origin city 22. Geocoded_City2: Geocoded coordinates for the destination city 23. tbl1apk: Unique identifier for the route

Potential Uses: 1. Market Analysis: Assess trends in air travel demand, fare changes, and market share of airlines over time. 2. Price Optimization: Develop models to predict optimal pricing strategies for airlines. 3. Route Planning: Identify profitable routes and underserved markets for new route planning. 4. Economic Studies: Analyze the economic impact of air travel on different cities and regions. 5. Travel Behavior Research: Study changes in passenger preferences and travel behavior over the years. 6. Competitor Analysis: Evaluate the performance of different airlines on various routes.

The dataset provides a comprehensive overview of flight details, focusing on various key attributes related to airline operations. It includes information on:

• Airlines: Names of the airlines operating the flights.
• Source and Destination: Cities where flights originate and land.
• Total Stops: Number of stops made by the flights.
• Price: Ticket prices for the respective flights.
• Date, Month, and Year: Specific dates on which the flights are scheduled.
• Departure and Arrival Times: Detailed hours and minutes for both departure and arrival.
• Duration: Total duration of flights in hours and minutes.

This dataset is valuable for analyzing flight pricing trends, travel times, and patterns in airline operations. It offers insights into how different airlines operate across various routes, how prices vary, and the impact of stops on overall travel duration.

In 2025, the seasonally adjusted consumer price index for all airline fares in the United States was ******. Over the given period, the CPI-U peaked at ***** in 2013, before decreasing significantly to ***** in 2021.

United States - Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average was 270.33600 Index 1982-84=100 in September of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average reached a record high of 322.64500 in March of 2013 and a record low of 128.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average - last updated from the United States Federal Reserve on December of 2025.

View monthly updates and historical trends for US Consumer Price Index: Airline Fares. Source: Bureau of Labor Statistics. Track economic data with YChart…

The number of flights performed globally by the airline industry has increased steadily since the early 2000s and reached **** million in 2019. However, due to the coronavirus pandemic, the number of flights dropped to **** million in 2020. The flight volume increased again in the following years and was forecasted to reach ** million in 2025.

Context: This dataset contains flight fare data that was collected from the EaseMyTrip website using web scraping techniques. The data was collected with the goal of providing users with information that could help them make informed decisions about when and where to purchase flight tickets. By analyzing patterns in flight fares over time, users can identify the best times to book tickets and potentially save money.

Sources: 1. Data collected using Python script with Beautiful Soup and Selenium libraries. 2. Script collected data on various flight details such as Date of booking, Date of travel, Airline and class, Departure time and source, Arrival time and destination, Duration, Total stops, Price. 3. The scraping process was designed to collect data for flights departing from a specific set of airports (Top 7 busiest airports in India). Note that the Departure Time feature also includes the Source airport, and the Arrival Time feature also includes the Destination airport. Which is later extracted in Cleaned_dataset. Also both cleaned and scraped datasets have provided so that one can use dataset as per their requirement and convenience.

Inspiration: 1. Dataset created to provide users with valuable resource for analyzing flight fares in India. 2. Detailed information on flight fares over time can be used to develop more accurate pricing models and inform users about best times to book tickets. 3. Data can also be used to study trends and patterns in the travel industry through air can act as a valuable resource for researchers and analysts.

Limitations: 1. This dataset only covers flights departing from specific airports and limited to a certain time period. 2. To perform time series analysis one have gather data for at least top 10 busiest airports for 365 days. 3. This does not cover variations in aviation fuel prices as this is the one of influencing factor for deciding fare, hence the same dataset might not be useful for next year, but I will try to update it twice in an year. 4. Also demand and supply for the particular flight seat is not available in the dataset as this data is not publicly available on any flight booking web site.

Scope of Improvement: 1. The dataset could be enhanced by including additional features such as current aviation fuel prices and the distance between the source and destination in terms of longitude and latitude. 2. The data could also be expanded to include more airlines and more airports, providing a more comprehensive view of the flight market. 3. Additionally, it may be helpful to include data on flight cancellations, delays, and other factors that can impact the price and availability of flights. 4. Finally, while the current dataset provides information on flight prices, it does not include information on the quality of the flight experience, such as legroom, in-flight amenities, and customer reviews. Including this type of data could provide a more complete picture of the flight market and help travelers make more informed decisions.

This dataset presents the domestic airfares of New Zealand’s airlines (dominating by Air New Zealand, a full-service carrier; and Jetstar, a low-cost carrier) at 12 trunk routes and 40 secondary routes in New Zealand. The data was extracted from Expedia, one of the biggest online travel meta-search engine, using a ‘web crawler’ (Octoparse.com) that collects hourly airfares of the two airlines from September 19, 2019 to December 18, 2019, a total of 90 days. It therefore provides a rich dataset of more than 162,000 observations regarding the departure time, arrival time, flight duration, airline, airfare, departure airport, arrival airport, transiting airport, and so on… That information can be conveniently used in future studies in the fields of business and economics, transportation and aviation, or management and marketing.

Welcome, data enthusiasts!

This project dives into the exciting world of airline ticket price prediction. We'll be analyzing a rich dataset packed with features like airline names, travel dates, routes, and departure/arrival times.

Our goal? To build a powerful machine learning model that can accurately predict ticket prices. But before diving into fancy algorithms, we need to understand our data.

Amongst selected European airlines, Ryanair had by far the lowest average passenger fare in 2021, with approximately ** euros per passenger. The low-cost airline is followed by its rivals, Wizz Air and Norwegian, with an average ticket price of ** euros and ** euros respectively.

Graph and download economic data for Harmonized Index of Consumer Prices: Passenger Transport by Air for European Union (28 Countries) (CP0733EU28M086NEST) from Dec 2000 to Jan 2020 about passenger, air travel, EU, travel, harmonized, transportation, Europe, CPI, price index, indexes, and price.

China Air: Transport Index: Ticket Price: Domestic Line data was reported at 129.600 Jan2004=100 in Jun 2019. This records an increase from the previous number of 127.500 Jan2004=100 for May 2019. China Air: Transport Index: Ticket Price: Domestic Line data is updated monthly, averaging 109.600 Jan2004=100 from Jan 2007 (Median) to Jun 2019, with 149 observations. The data reached an all-time high of 136.800 Jan2004=100 in Aug 2018 and a record low of 78.500 Jan2004=100 in Dec 2008. China Air: Transport Index: Ticket Price: Domestic Line data remains active status in CEIC and is reported by Civil Aviation Administration of China. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TI: Air: Transport Index.

This dataset provides a detailed list of flights from Bengaluru to Delhi extracted from MakeMyTrip via Crawl Feeds. It includes essential flight information for the period between 8th December 2021 and 10th March 2022, making it ideal for analyzing travel trends, airline performance, and pricing patterns during this time frame.

Key Features:

• Flight Routes: All flights operating between Bengaluru (BLR) and Delhi (DEL).
• Dates: Data collected between December 8, 2021, and March 10, 2022.
• Airline Information: Details about different airlines, including flight numbers, departure and arrival times, and layovers (if any).
• Flight Duration: Information on total flight times, including direct and connecting flights.
• Price Data: Collected fare details for various classes (economy, business, premium).
• Data Format: Structured dataset in CSV format for easy import into analysis tools like Excel, Python, or R.

Applications:

• Flight Trend Analysis: Analyze flight availability, pricing, and demand over the given time period.
• Airline Comparison: Compare flight durations, fares, and services offered by various airlines.
• Travel Demand Insights: Evaluate how air travel between Bengaluru and Delhi fluctuated during these months.
• Price Forecasting: Study fare patterns to predict future pricing trends for flights between these cities.

For a more extensive analysis of travel trends and to gain deeper insights into the travel industry, explore our Travel & Tourism Data offerings. Our comprehensive datasets can help you anticipate customer needs, optimize operations, and provide personalized experiences to stay ahead in the competitive travel market.

Airline Passenger Communications Platform Market Outlook

According to our latest research, the global Airline Passenger Communications Platform market size reached USD 1.85 billion in 2024, driven by an increasing focus on enhancing passenger experience and operational efficiency across the aviation industry. The market is expected to grow at a CAGR of 13.7% from 2025 to 2033, reaching a forecasted value of USD 5.85 billion by 2033. This robust growth is primarily attributed to rising digital transformation initiatives among airlines, the proliferation of mobile devices, and heightened passenger expectations for real-time, personalized communication throughout their travel journey.

One of the most significant growth factors for the Airline Passenger Communications Platform market is the evolving landscape of air travel, where passengers now demand instant and seamless communication with airlines. As air passenger traffic rebounds and surpasses pre-pandemic levels, airlines are investing heavily in advanced communication platforms that leverage omnichannel capabilities, including SMS, email, in-app messaging, and social media. These platforms enable airlines to deliver timely flight updates, resolve queries efficiently, and foster brand loyalty through personalized engagement. Additionally, the integration of artificial intelligence and automation within these platforms is streamlining customer interactions, reducing operational costs, and ensuring that passengers receive consistent and accurate information at every touchpoint.

Another key driver is the increasing adoption of cloud-based solutions, which are revolutionizing the way airlines manage passenger communications. Cloud-based platforms offer scalability, flexibility, and cost-effectiveness, allowing airlines of all sizes—from full-service carriers to low-cost operators—to deploy sophisticated communication tools without significant upfront investment in IT infrastructure. Moreover, the rise of mobile-first strategies and the widespread use of smartphones have made it imperative for airlines to adopt platforms that support real-time, two-way communication. This shift not only enhances the passenger experience but also enables airlines to gather actionable insights from customer interactions, which can be leveraged to refine service offerings and drive ancillary revenue streams.

Regulatory compliance and data security are also shaping the growth trajectory of the Airline Passenger Communications Platform market. With stringent regulations such as GDPR in Europe and similar frameworks emerging worldwide, airlines are prioritizing secure, compliant communication solutions that safeguard passenger data. This is prompting vendors to enhance their platforms with robust security features, end-to-end encryption, and advanced consent management tools. The growing emphasis on data privacy, combined with the need for operational resilience in the face of disruptions, is compelling airlines to invest in reliable, scalable communication platforms that can adapt to evolving regulatory requirements and industry best practices.

From a regional perspective, North America currently holds the largest share of the Airline Passenger Communications Platform market, accounting for approximately 38% of global revenue in 2024. This dominance is underpinned by the presence of major airlines, early adoption of digital technologies, and high passenger expectations for seamless communication. However, the Asia Pacific region is expected to witness the highest growth rate over the forecast period, propelled by rapid expansion of air travel, increasing smartphone penetration, and rising investments in aviation infrastructure across emerging economies such as China and India. Europe remains a key market, driven by strict regulatory standards and a strong focus on passenger rights, while the Middle East & Africa and Latin America are gradually catching up, supported by growing air connectivity and digital transformation initiatives.

Component Analysis

Airfare Intelligence Market Outlook

According to our latest research, the global airfare intelligence market size reached USD 1.72 billion in 2024, driven by the increasing adoption of advanced analytics and AI-driven solutions within the aviation and travel sectors. The market is exhibiting a robust growth trajectory, with a compound annual growth rate (CAGR) of 10.3% projected over the forecast period. By 2033, the market is expected to reach USD 4.25 billion, propelled by rising demand for dynamic pricing models, enhanced revenue management strategies, and the proliferation of digital travel platforms. This growth is underpinned by the increasing complexity of airfare structures and the need for real-time, data-driven decision-making in a rapidly evolving global travel landscape.

One of the primary growth factors for the airfare intelligence market is the widespread integration of artificial intelligence and machine learning technologies into pricing and revenue management systems. Airlines and travel agencies are leveraging these technologies to process massive datasets, enabling them to predict demand fluctuations, optimize pricing strategies, and maximize profitability. The ability to harness real-time data from various sources, such as competitor fares, historical booking trends, and macroeconomic indicators, provides unparalleled insights that drive smarter decision-making. This technological evolution is not only enhancing operational efficiency but also offering a competitive edge in a market where consumer expectations for transparency and personalization are higher than ever before.

Another significant growth driver is the increasing competition among airlines and online travel agencies (OTAs), which has intensified the need for advanced airfare intelligence solutions. As the global travel industry continues to recover and expand post-pandemic, airlines are under pressure to differentiate themselves through innovative pricing models and tailored offerings. Airfare intelligence platforms enable these organizations to monitor competitor pricing in real time, identify market opportunities, and adjust their fare structures dynamically. This capability is crucial in capturing price-sensitive travelers and optimizing load factors, particularly in markets where demand is highly elastic and subject to rapid change due to external events or seasonal fluctuations.

Furthermore, the growing adoption of cloud-based solutions is facilitating the scalability and accessibility of airfare intelligence tools across organizations of all sizes. Cloud deployment offers flexibility, cost-effectiveness, and the ability to integrate seamlessly with other enterprise applications such as customer relationship management (CRM) and enterprise resource planning (ERP) systems. This has democratized access to sophisticated analytics, allowing not only major airlines but also smaller carriers, OTAs, and corporate travel managers to leverage advanced airfare intelligence capabilities. The trend towards digital transformation in the travel and hospitality sector is expected to further accelerate the adoption of these solutions, driving sustained market growth through the forecast period.

From a regional perspective, North America currently dominates the airfare intelligence market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of leading airlines, advanced IT infrastructure, and a high degree of digitalization in the travel sector are key factors contributing to North America’s market leadership. Europe is also witnessing significant growth, driven by the increasing adoption of dynamic pricing and data analytics among low-cost carriers and traditional airlines alike. Meanwhile, the Asia Pacific region is expected to register the fastest CAGR through 2033, fueled by rapid air travel expansion, rising middle-class incomes, and the proliferation of digital travel platforms in emerging economies such as China and India.

Component Analysis

The airfare intelligence market is segmented by component into software and services, each playing a critical role in the overall ecosystem. The software segment comprises advanced analytics platforms, AI-driven pricing engines, and data visualization tools that enable airlines and travel agencies to collect, process, and analyze vast amounts of fare-related data. These solutions are designed to deliver actionable insights, automate complex pricing decisions, an

Operational Data Store for Real-Time Flights Market Outlook

According to our latest research, the Global Operational Data Store for Real-Time Flights market size was valued at $1.75 billion in 2024 and is projected to reach $4.82 billion by 2033, expanding at a CAGR of 11.7% during 2024–2033. The primary driver of this robust growth is the increasing demand for real-time data integration and analytics solutions across the aviation industry, which has become essential for enhancing operational efficiency, reducing delays, and improving passenger experience. As airlines, airports, and air traffic control agencies strive to modernize their digital infrastructure, the adoption of operational data stores (ODS) capable of aggregating and processing real-time flight information is accelerating rapidly on a global scale.

Regional Outlook

North America currently holds the largest share of the global Operational Data Store for Real-Time Flights market, accounting for approximately 39.2% of the total market value in 2024. This dominance is attributed to the region’s mature aviation infrastructure, early adoption of advanced data management technologies, and the presence of major market players. The United States, in particular, has been at the forefront of implementing real-time data integration platforms within both commercial and private aviation sectors. The Federal Aviation Administration’s (FAA) regulatory framework and robust investments in digital transformation initiatives have further propelled the uptake of ODS solutions. Additionally, the region’s focus on enhancing passenger experience through seamless information sharing and operational transparency continues to drive sustained demand for innovative data solutions.

Asia Pacific is emerging as the fastest-growing region in the Operational Data Store for Real-Time Flights market, with a forecasted CAGR of 14.5% from 2024 to 2033. This rapid growth is underpinned by significant investments in airport modernization, surging air passenger traffic, and an increasing number of airline startups across countries like China, India, and Southeast Asian nations. Governments in the region are prioritizing smart airport projects and digital transformation in air traffic management, which is leading to a surge in demand for real-time data stores. Furthermore, the expansion of low-cost carriers and the adoption of cloud-based deployment models are lowering entry barriers for smaller airlines, thereby accelerating market penetration and innovation in operational data management.

Emerging economies in Latin America, the Middle East, and Africa are gradually integrating operational data store solutions but face unique challenges. Limited IT infrastructure, budget constraints, and varying regulatory standards present obstacles to widespread adoption. However, localized demand is growing, particularly as airlines and airports in these regions recognize the value of real-time data in minimizing disruptions and optimizing resource allocation. Strategic partnerships with global technology providers and support from international aviation organizations are helping to address skill gaps and promote best practices. As these markets mature, tailored solutions that account for regional nuances and policy frameworks are expected to drive incremental growth and foster greater digitalization within the aviation ecosystem.

Report Scope

Flight Price Freeze Market Outlook

According to our latest research, the Global Flight Price Freeze market size was valued at $1.2 billion in 2024 and is projected to reach $4.6 billion by 2033, expanding at a CAGR of 16.4% during the forecast period of 2025–2033. The rapid proliferation of online travel platforms and the growing trend of dynamic airline pricing have been major catalysts for the surge in adoption of flight price freeze solutions globally. As consumers increasingly seek flexibility and certainty in air travel booking, these services allow travelers to lock in favorable fares for a specified period, thereby addressing volatility in ticket pricing and enhancing the overall booking experience. This market is further propelled by the integration of advanced analytics and artificial intelligence, enabling more personalized and predictive price freeze offerings across diverse user segments.

Regional Outlook

North America currently dominates the Flight Price Freeze market, accounting for the largest share of global revenue, estimated at over 38% in 2024. The region's leadership stems from its mature digital travel ecosystem, high internet penetration, and the presence of major online travel agencies and airlines that have swiftly adopted price freeze features. Regulatory frameworks that support consumer protection and digital innovation further reinforce market maturity in the United States and Canada. Additionally, North American consumers demonstrate a high propensity for leveraging technology-driven travel solutions, which has fostered robust demand for both software and service components of flight price freeze offerings. The established loyalty programs and frequent flyer bases of North American airlines also contribute to the widespread use of price freeze tools as part of broader customer retention strategies.

The Asia Pacific region is poised to register the fastest growth in the Flight Price Freeze market, with a projected CAGR exceeding 19.5% through 2033. This rapid expansion is underpinned by burgeoning air travel demand, particularly in emerging economies such as India, China, and Southeast Asian countries. The increasing penetration of smartphones and digital payment platforms has enabled a new cohort of tech-savvy travelers to access and utilize flight price freeze services. Investments by regional airlines and online travel agencies in digital infrastructure and customer-centric innovations are accelerating adoption. Furthermore, the region's growing middle class and rising disposable incomes are fueling discretionary travel and, by extension, the need for price assurance in flight bookings.

Emerging economies in Latin America, the Middle East, and Africa are witnessing a gradual uptick in the adoption of flight price freeze solutions, albeit from a lower base. These markets face unique challenges, including limited digital infrastructure, variable internet access, and lower consumer awareness about advanced travel booking tools. Nevertheless, localized travel agencies and airlines are beginning to pilot price freeze offerings, often in partnership with global technology providers. Policy reforms aimed at liberalizing the aviation sector and fostering digital inclusion are expected to gradually improve market penetration. However, the pace of adoption will depend on continued investment in digital transformation and targeted consumer education campaigns in these regions.

Report Scope

Performance in the industry has been driven by consumer demand for convenient and affordable travel, with air travel a popular mode of transport in Europe. Tourism levels across Europe are the main driver behind performance by passenger air transport companies. The industry has seen some volatility amid the impacts of the COVID-19 pandemic and severe fluctuations in fuel prices. Industry revenue is expected to climb at a compound annual rate of 2.5% over the five years through 2025 to €208.6 billion, despite a 1.1% dip in 2025. Airline performance was hit hard by the travel restrictions during the COVID-19 outbreak but have managed to rebound well in the years since, driving revenue growth. The ongoing expansion of low-cost carriers (LCCs) has been a significant trend in the industry, with these airlines eroding legacy carriers’ market share. LCCs have seen passenger traffic surge in recent years, outpacing growth in volumes recorded by legacy carriers, highlighting shifting consumer preferences and demand for affordable, no-frills flights. The industry has also faced mounting regulatory pressures tied to decarbonisation and sustainability as Europe intensifies climate targets and travellers grow more eco-conscious. Volatile fuel prices have negatively affected profit for carriers, though many have hiked ticket fares to mitigate the impact. However, intensifying price competition has limited how much airlines can raise prices without deterring travellers. Industry revenue is forecast to climb at a compound annual rate of 1.2% over the five years through 2030 to €221.1 billion. The future performance of the passenger air transport industry in Europe remains shaky. Airlines will likely face ongoing challenges related to evolving passenger preferences and keeping up with decarbonisation plans.. A growing passenger preference for greener and more sustainable travel alongside digital solutions will likely shape the industry's outlook. Airlines will have to splash the cash on more efficient aircraft and advanced technology, weighing on profit in the short term but boosting long-term performance. The industry will also face fierce competition from expanding high-speed rail networks, which, supported by major EU investments, will likely siphon off some short-haul travellers and hinder revenue growth.