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

Number of commercial aviation departures, domestic and international, by day. Also the number of people screened by TSA in total and at large hub airports by day.

Graph and download economic data for Revenue Passenger Miles for U.S. Air Carrier International, Scheduled Passenger Flights (RPMID11) from Jan 2000 to May 2025 about flight, miles, passenger, revenue, and USA.

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

Graph and download economic data for Load Factor for U.S. Air Carrier International, Scheduled Passenger Flights (LOADFACTORID11) from Jan 2000 to May 2025 about flight, passenger, and USA.

The T-100 Domestic Market and Segment Data dataset was downloaded on April 08, 2025 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The database includes data obtained from a 100 percent census of BTS Form 41 schedule submissions by large certificated air carriers. It shows 2024 statistics for all domestic airports operated by US carriers, and all information are totals for the year. This dataset is a combination of both T-100 Market and T-100 Segments datasets. The T-100 Market includes enplanement data, and T-100 Segment data includes arrivals, departures, freight, and mail. Data is by origin airport. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529081

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

The U.S. Department of Transportation's (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT's monthly Air Travel Consumer Report, published about 30 days after the month's end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released.

This version of the dataset was compiled from the Statistical Computing Statistical Graphics 2009 Data Expo and is also available here.

Average domestic market air fare by carrier.

The Intermodal Freight Facilities - Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset includes air to truck intermodal freight facilities for the top 60 airports by total freight moved in 2017. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.

From https://data.bts.gov/Aviation/Commercial-Aviation-Departures/bpqk-hyst/about_data:Number of commercial aviation departures, domestic and international, by day. Also the number of people screened by TSA in total and at large hub airports by day.This upload includes departures_readme.txt, which was created for this upload and was not created by BTS.

Percentage of flights arriving on-time. A flight is on-time if it arrives within 15 minutes of the schedule arrival time. Data are available for those carriers that had at least 1% of domestic enplanements in the previous year. The last 25 months of data include only carriers that reported in each of the last 25 months to retain comparability. Earlier data includes all reporting carriers. A scheduled operation consists of any nonstop segment of a flight. The Bureau of Transportation Statistics air collects performance data from U.S. air carriers and international carriers operating within the U.S.

Graph and download economic data for Available Seat Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (ASMD11) from Jan 2000 to May 2025 about flight, miles, passenger, air travel, travel, domestic, and USA.

Number of air travel passengers boarded and denied boarding by month

This database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).

Airports with scheduled service and intercity bus and intercity rail (Amtrak/Alaska rail) facilities for years 2006, 2012, 2018, and 2021. Used to find rural areas with access to one or more of these transportation modes: https://data.bts.gov/Research-and-Statistics/Access-to-Intercity-Air-Bus-and-Rail-Transportatio/m2bh-93w3 . Airports with scheduled service and intercity bus and intercity rail (Amtrak/Alaska rail) facilities for years 2006, 2012, 2018, and 2023. Used to find rural areas with access to one or more of these transportation modes: https://data.bts.gov/Research-and-Statistics/Access-to-Intercity-Air-Bus-and-Rail-Transportatio/m2bh-93w3 . In 2021, bus stops are from the Intercity Bus Atlas (https://geodata.bts.gov/datasets/usdot::intercity-bus-atlas-stops/explore). To allow the use of the Intercity Bus Atlas (ICBA) datasets, intercity bus providers grant the USDOT a Creative Commons Attribution – Non-commercial 4.0 International (CC-BY-NC 4.0) license. The CC-BY-NC 4.0 license is available at, https://creativecommons.org/licenses/by-nc/4.0/legalcode. For more information about the memorandum of understanding between partner intercity bus providers and BTS underlying the ICBA, please consult https://www.bts.gov/national-intercity-bus-atlas-partnerships. ICBA data are permitted and encouraged for research, analysis, and planning. The data are not intended for trip planning, scheduling, navigation, or any real-time or near real-time use by passengers, transportation operators, service providers, or transportation planners. Commercial and all other reuse of the data is prohibited. As part of the license agreement for the data, BTS are also not permitted to make substantive material alterations to the submitted GTFS data. All other uses or re-uses of the data are prohibited. Finally, BTS expressly disclaims all liability for the unauthorized use of or misuse of any data collected as a part of this effort by third parties. BTS furthermore does not guarantee the real-time or near real-time accuracy or quality of the data as route service information, bus stop location information and other data collected may change over time. Interactive map showing access to intercity transportation in rural areas:https://datahub.transportation.gov/stories/s/Rural-Access-to-Intercity-Transportation/gr9y-9gjq/editMethodology:https://datahub.transportation.gov/stories/s/dbb4-pr2c

From https://data.bts.gov/Aviation/Commercial-Aviation-Departures-and-TSA-Screenings-/hvq3-38u5/about_dat...:The number of Persons Screened by TSA, US Domestic Flight Departures, and US International Flight Departures by day from January 1, 2019 forward. Bonus columns for filtering include Week Number and Year.This upload includes aviation_simplified_readme.txt, which was created as part of this upload, not by the BTS.

enplaned passengers

Commercial air passengers, seats, freight, and mail by year.

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. ​ ​