This dataset provides detailed information on airline flight routes, fares, and passenger volumes within the United States from 1993 to 2024. The data includes metrics such as the origin and destination cities, distances between airports, the number of passengers, and fare information segmented by different airline carriers. It serves as a comprehensive resource for analyzing trends in air travel, pricing, and carrier competition over a span of three decades.

Data Features:

• tbl: Table identifier
• Year: Year of the data record
• quarter: Quarter of the year (1-4)
• citymarketid_1: Origin city market ID
• citymarketid_2: Destination city market ID
• city1: Origin city name
• city2: Destination city name
• airportid_1: Origin airport ID
• airportid_2: Destination airport ID
• airport_1: Origin airport code
• airport_2: Destination airport code
• nsmiles: Distance between airports in miles
• passengers: Number of passengers
• fare: Average fare
• carrier_lg: Code for the largest carrier by passengers
• large_ms: Market share of the largest carrier
• fare_lg: Average fare of the largest carrier
• carrier_low: Code for the lowest fare carrier
• lf_ms: Market share of the lowest fare carrier
• fare_low: Lowest fare
• Geocoded_City1: Geocoded coordinates for the origin city
• Geocoded_City2: Geocoded coordinates for the destination city
• tbl1apk: Unique identifier for the route

Potential Uses:

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

Comprehensive dataset containing 82 verified Airline businesses in New York, United States with complete contact information, ratings, reviews, and location data.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, 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.

Graph and download economic data for Enplanements for U.S. Air Carrier Domestic, Scheduled Passenger Flights (ENPLANEDD11) from Jan 2000 to May 2025 about flight, passenger, air travel, travel, domestic, and USA.

Original data:https://doi.org/10.7910/DVN/HG7NV7This data has been rearranged and converted in parquet.

In 2024, U.S. airlines carried around 852.1 million passengers on domestic flights across the United States. This was an increase from the roughly 819.3 million domestic passengers carried by U.S. airlines in the previous year.

Comprehensive dataset containing 102 verified Airline businesses in Texas, United States with complete contact information, ratings, reviews, and location data.

This dataset provides detailed information on flight arrivals and delays for U.S. airports, categorized by carriers. The data includes metrics such as the number of arriving flights, delays over 15 minutes, cancellation and diversion counts, and the breakdown of delays attributed to carriers, weather, NAS (National Airspace System), security, and late aircraft arrivals. Explore and analyze the performance of different carriers at various airports during this period. Use this dataset to gain insights into the factors contributing to delays in the aviation industry.

Purpose: The purpose of this dataset is to offer insights into the performance of U.S. carriers at various airports during August 2013 - August 2023, focusing on flight arrivals and delays. By providing detailed information on key metrics such as the number of arriving flights, delays over 15 minutes, cancellations, and diversions, the dataset aims to facilitate analyses of factors contributing to delays, including those attributed to carriers, weather, the National Airspace System (NAS), security, and late aircraft arrivals. Researchers, data scientists, and aviation enthusiasts can leverage this dataset to explore patterns, identify trends, and draw conclusions that contribute to a better understanding of the aviation industry's operational challenges.

Structure: The dataset is structured as a tabular format with rows representing unique combinations of year, month, carrier, and airport. Each row contains information on various metrics, including flight counts, delay counts, cancellation and diversion counts, and delay breakdowns by different factors. The columns provide specific details such as carrier codes and names, airport codes and names, and counts of delays attributed to carrier, weather, NAS, security, and late aircraft arrivals. The structured format ensures that users can easily query, analyze, and visualize the data to derive meaningful insights.

• year: The year of the data.
• month: The month of the data.
• carrier: Carrier code.
• carrier_name: Carrier name.
• airport: Airport code.
• airport_name: Airport name.
• arr_flights: Number of arriving flights.
• arr_del15: Number of flights delayed by 15 minutes or more.
• carrier_ct: Carrier count (delay due to the carrier).
• weather_ct: Weather count (delay due to weather).
• nas_ct: NAS (National Airspace System) count (delay due to the NAS).
• security_ct: Security count (delay due to security).
• late_aircraft_ct: Late aircraft count (delay due to late aircraft arrival).
• arr_cancelled: Number of flights canceled.
• arr_diverted: Number of flights diverted.
• arr_delay: Total arrival delay.
• carrier_delay: Delay attributed to the carrier.
• weather_delay: Delay attributed to weather.
• nas_delay: Delay attributed to the NAS.
• security_delay: Delay attributed to security.
• late_aircraft_delay: Delay attributed to late aircraft arrival.

Usage: Researchers, analysts, and data enthusiasts can utilize this dataset for a variety of purposes, including but not limited to:

Performance Analysis: Assess the on-time performance of different carriers at specific airports and identify potential areas for improvement.

Trend Identification: Analyze temporal trends in delays, cancellations, and diversions to understand whether certain months or periods exhibit higher operational challenges.

Root Cause Analysis: Investigate the primary contributors to delays, such as carrier-related issues, weather conditions, NAS inefficiencies, security concerns, or late aircraft arrivals.

Benchmarking: Compare the performance of various carriers across different airports to identify industry leaders and areas requiring attention.

Predictive Modeling: Use historical data to develop predictive models for flight delays, aiding in the development of strategies to mitigate disruptions.

Industry Insights: Contribute to a broader understanding of the factors influencing operational efficiency within the U.S. aviation sector.

As users explore and analyze the dataset, they can gain valuable insights that may inform decision-making processes, improve operational strategies, and contribute to a more efficient and reliable air travel experience.

In 2024, U.S. airlines recorded ****** million passengers on domestic and international flights. The previous year, the number of passengers at U.S. airports officially surpassed the pre-pandemic peak of ***** million passengers recorded in 2019.

In 2024, Delta Air Lines and United Airlines were the leading airlines in the U.S., with a domestic market share of 21 percent. That year, American Airlines had the second-largest market share of 20 percent. U.S. airlines' domestic market share The passenger air transportation market is a thriving industry, taking individuals to locations around the globe. American Airlines was the third largest airline in the North America based on operating revenue, reaching nearly 40.5 billion U.S. dollars in 2023. Passenger airlines can face much scrutiny for their passenger satisfaction and comfort. A 2025 North American Airline Satisfaction Study by J.D. Power & Associates listed Southwest Airlines as the best long-haul, closely followed by low-cost carrier JetBlue Airways. United Airlines, Delta Air Lines, American Airlines and Southwest Airlines are the top-ranked airlines based on 2024 domestic market share. Delta operates out of Atlanta, and Hartsfield-Jackson Atlanta International Airport, Delta’s hub, sees the most passenger traffic in the United States. Chicago-headquartered United Airlines is a subsidiary of United Continental Holdings. United has flights to 210 domestic destinations and 120 destinations internationally.

This dataset is about books. It has 2 rows and is filtered where the book subjects is Airlines-United States-Cost of operation. It features 9 columns including author, publication date, language, and book publisher.

United States Air Passenger Departures: US Airlines data was reported at 49,395.120 Person th in 2017. This records an increase from the previous number of 47,682.000 Person th for 2016. United States Air Passenger Departures: US Airlines data is updated yearly, averaging 36,165.500 Person th from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 51,567.000 Person th in 2015 and a record low of 21,285.753 Person th in 1991. United States Air Passenger Departures: US Airlines data remains active status in CEIC and is reported by Bureau of Transportation Statistics. The data is categorized under Global Database’s USA – Table US.Q004: Air Passenger Travel: Departures .

Comprehensive dataset containing 22 verified Airline businesses in Arkansas, United States with complete contact information, ratings, reviews, and location data.

United States Google Search Trends: Travel & Accommodations: American Airlines data was reported at 7.000 Score in 14 May 2025. This stayed constant from the previous number of 7.000 Score for 13 May 2025. United States Google Search Trends: Travel & Accommodations: American Airlines data is updated daily, averaging 3.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 43.000 Score in 30 Jan 2025 and a record low of 0.000 Score in 22 Jun 2023. United States Google Search Trends: Travel & Accommodations: American Airlines data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

United States O'Hare Intl Airport: Passenger Traffic data was reported at 7,526.948 Person th in Oct 2018. This records an increase from the previous number of 7,076.423 Person th for Sep 2018. United States O'Hare Intl Airport: Passenger Traffic data is updated monthly, averaging 6,033.803 Person th from Dec 1999 (Median) to Oct 2018, with 227 observations. The data reached an all-time high of 8,100.976 Person th in Aug 2018 and a record low of 0.000 Person th in Dec 1999. United States O'Hare Intl Airport: Passenger Traffic data remains active status in CEIC and is reported by O'Hare International Airport. The data is categorized under Global Database’s United States – Table US.TA021: Airport Statistics: O'Hare International Airport.

This dataset contains various metrics about 40 airports of the United State of America captured from realtime data. It includes airport delays and delay reasons as well as information about airport closure and reopening events. In addition, this dataset provides influence factors such as weather conditions, visibilty information, wind speed/direction and temperature. The dataset includes the following airports given by their IATA code: ATL, BNA, BOS, BWI, CLE, CLT, CVG, DCA, DEN, DFW, DTW, EWR, FLL, IAD, IAH, IND, JFK, LAS, LAX, LGA, MCI, MCO, MDW, MEM, MIA, MSP, ORD, PDX, PHL, PHX, PIT, RDU, SAN, SEA, SFO, SJC, SLC, STL, TEB, TPA. The data was collected from 2015-06-03 until 2015-06-10, every 15 minutes and for each of the airport above defined, by using REST API (http://services.faa.gov/airport/status) provided by the Federal Aviation Administration. API Documentation can be found at: http://services.faa.gov/ MD5 Checksum: 9aee3d984bf25f8867db3ac900442126

Context

it's a dataset about the American airline traffic delays and their causes of delays.

Content

this dataset has 22 columns and 292669 rows .

the columns consist of: * year ​ * month ​ * carrier : Abbreviation of carrier ​ * carrier_name : the actual carrier name ​ * airport : Abbreviation of airbort ​ * airport_name : the actual airport name ​ * arr_flights: Number of flights arrived the airport. ​ * arr_del15 : Number of flights delayed.

• carrier_ct: Number of flights delayed due to air carrier ​
• weather_ct: Number of flights delayed due to weather. ​
• nas_ct: Number of flights delayed due to National Aviation System ( non-extreme weather conditions, airport operations, heavy traffic volume, and air traffic control ) check more in here ​
• security_ct: Number of flights delayed due to security ​
• late_aircraft_ct: Number of flights delayed due to a previous flight. ​
• arr_cancelled: Number of flight that has been cancelled. ​
• arr_diverted: Number of flight that has been diverted. ​
• arr_delay: time of delayed flights. ​
• carrier_delay:time of delayed flights due to air carrier. ​
• weather_delay: time of delayed flights due to weather. ​
• nas_delay: time of delayed flights due to National Aviation System. ​
• security_delay: time of delayed flights due to security. ​
• late_aircraft_delay: time of delayed flights due to a previous flight. ​ ​

United States Airline Cost Index: 1982=100: A4A: Qtr: Professional Services data was reported at 279.800 1982=100 in Dec 2005. This records a decrease from the previous number of 301.500 1982=100 for Sep 2005. United States Airline Cost Index: 1982=100: A4A: Qtr: Professional Services data is updated quarterly, averaging 178.150 1982=100 from Mar 1971 (Median) to Dec 2005, with 140 observations. The data reached an all-time high of 342.700 1982=100 in Dec 2004 and a record low of 31.700 1982=100 in Mar 1971. United States Airline Cost Index: 1982=100: A4A: Qtr: Professional Services data remains active status in CEIC and is reported by Airlines for America. The data is categorized under Global Database’s United States – Table US.TA010: Airline Statistics (Discontinued).

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 May 2025 about flight, miles, passenger, air travel, travel, revenue, domestic, and USA.

Total-Cash-From-Operating-Activities Time Series for American Airlines Group. American Airlines Group Inc., through its subsidiaries, operates as a network air carrier in the United States, Latin America, Atlantic, and Pacific. The company provides scheduled air transportation services for passengers and cargo through its hubs in Charlotte, Chicago, Dallas/Fort Worth, Los Angeles, Miami, New York, Philadelphia, Phoenix, and Washington, D.C., as well as through partner gateways in London, Doha, Madrid, Seattle/Tacoma, Sydney, and Tokyo. It also operates a mainline fleet of 977 aircraft. The company was formerly known as AMR Corporation and changed its name to American Airlines Group Inc. in December 2013. American Airlines Group Inc. was founded in 1926 and is headquartered in Fort Worth, Texas.