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.

Comprehensive dataset containing 67 verified Military airport businesses in United States with complete contact information, ratings, reviews, and location data.

United States No. of Flights: SEA Terminal: South Satellite data was reported at 38.000 Unit in 16 May 2025. This records a decrease from the previous number of 43.000 Unit for 15 May 2025. United States No. of Flights: SEA Terminal: South Satellite data is updated daily, averaging 31.000 Unit from May 2008 (Median) to 16 May 2025, with 6219 observations. The data reached an all-time high of 48.000 Unit in 19 Apr 2025 and a record low of 0.000 Unit in 08 May 2018. United States No. of Flights: SEA Terminal: South Satellite data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

This data set is a vector point digital data structure that contains the locations of General Public Use Airports in the State of New Mexico. It only contains those airports that the New Mexico State Highway and Transportation Department inspects. The point represents the center of the land owned by the 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

This dataset shows airports in the United States, Puerto Rico and the U.S. Virgin Islands. The data were derived from an extract of The Public- Use Airports database of the National Transportation Atlas Databases-2001 (NTAD-2001), published by the Bureau of Transportation Statistics, Department of Transportation. This dataset was released in October 2001 and was found on-line at the National Atlas, www.nationalatlas.gov in Shape file format. This point data is intended for use within the United States, including Puerto Rico and the U.S. Virgin Islands. This data may be used for geographic display and analysis at the national level, and for large regional areas. Metadata: http://www.nationalatlas.gov/metadata/airprtx020.faq.html Online: www.nationalatlas.gov

The data includes the location and related attributes for all public-use airports in the U.S. for 2007. More specifically, from the NTAD website: "Abstract: 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. There are 20491 airport landing facilities in this dataset. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product (Effective 18 Jaunary 2007)."

Comprehensive dataset containing 378 verified International airport businesses in United States with complete contact information, ratings, reviews, and location data.

United States O'Hare Intl Airport: Number of Flight: Domestic: Air Carrier data was reported at 56,313.000 Unit in May 2018. This records an increase from the previous number of 54,835.000 Unit for Apr 2018. United States O'Hare Intl Airport: Number of Flight: Domestic: Air Carrier data is updated monthly, averaging 52,153.500 Unit from Dec 1999 (Median) to May 2018, with 222 observations. The data reached an all-time high of 61,332.000 Unit in Aug 2002 and a record low of 37,815.000 Unit in Feb 2013. United States O'Hare Intl Airport: Number of Flight: Domestic: Air Carrier data remains active status in CEIC and is reported by O'Hare International Airport. The data is categorized under Global Database’s USA – Table US.TA021: Airport Statistics: O'Hare International Airport.

Comprehensive dataset containing 11,943 verified Airport businesses in United States with complete contact information, ratings, reviews, and location data.

The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). 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.Geospatial data provided by the U.S. Department of Transportation.

Primary Airports are Commercial Service Airports that have more than 10,000 passenger boardings each year. Hub categories for Primary Airports are defined as a percentage of total passenger boardings within the United States in the most current calendar year ending before the start of the current fiscal year. For example, calendar year 2014 data are used for fiscal year 2016 since the fiscal year began 9 months after the end of that calendar year. The table above depicts the formulae used for the definition of airport categories based on statutory provisions cited within the table, including Hub Type described in 49 USC 47102.

http://www.faa.gov/airports/planning_capacity/passenger_allcargo_stats/categories/

© FAA This layer is a component of Airports.

Airports categorized using the FAA Classification System: http://www.faa.gov/airports/planning_capacity/passenger_allcargo_stats/categories/

© FAA, BTS, Derald Dudley

United States O'Hare Intl Airport: Number of Flight: Domestic data was reported at 68,329.000 Unit in May 2018. This records an increase from the previous number of 65,871.000 Unit for Apr 2018. United States O'Hare Intl Airport: Number of Flight: Domestic data is updated monthly, averaging 68,809.000 Unit from Dec 1999 (Median) to May 2018, with 222 observations. The data reached an all-time high of 78,504.000 Unit in Aug 2004 and a record low of 53,609.000 Unit in Jan 2014. United States O'Hare Intl Airport: Number of Flight: Domestic data remains active status in CEIC and is reported by O'Hare International Airport. The data is categorized under Global Database’s USA – Table US.TA021: Airport Statistics: O'Hare International Airport.

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.

The Airports dataset includes all official and operational aerodromes as of July 16, 2020 and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of official 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.

Data downloaded from https://geodata.bts.gov/datasets/usdot::aviation-facilities/about, selecting only the North Dakota records, then projecting to NAD83.For detailed information on each of the 89 public airports in North Dakota, please visit the North Dakota Aeronautics Commission website.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.

This dataset compiles data from all airports across the United States of America to analyze how their characteristics influence safety.

The analysis focuses on the number of incidents that occurred during 2023 and 2024. Each airport is represented as a row and identified by its FAA Location Identifier (Loc ID), a three- to five-character alphanumeric code assigned by the Federal Aviation Administration (FAA). The dataset includes the following variables as columns:

Intrinsic Characteristics of the Airports – This category includes variables such as the airport’s geographical coordinates (ARP latitude, ARP longitude, and elevation), the U.S. state, county, city where the airport is located, the biannual enplanements, and the airport size.

Biannual Weather Conditions – This category provides information on the average meteorological conditions in the area where the airport is situated. Variables include the minimum and maximum biannual average temperatures, average biannual precipitation (in inches), and biannual fog frequency.

Incident Variables (Recorded Incidents) – This category contains variables representing different types of incidents recorded at the airport. Each variable corresponds to a specific cause of an incident, including: Approach Incident, Maneuvering Incident, Emergency Descent Incident, Enroute Incident, Initial Climb Incident, Landing Incident, Standing Incident, Takeoff Incident, Taxi Incident, Uncontrolled Descent Incident, It also includes the highest level of injury for each incident being Fatal, Minor, None and Serious. Total number of incidents per U.S. airport and A final binary variable: "Has the airport experienced any incidents in 2023-2024?", which returns a TRUE/FALSE response.

This dataset aims to facilitate a comprehensive analysis of airport safety by examining how various characteristics correlate with incident occurrences.

Electric airport ground support equipment (eGSE) hourly annual (8760) load datasets for the top 50 U.S. airports (by enplanements), as described in Liu et al. (2025).Please cite as:Liu, Bo, Kevin Robby, Jayaraj Rane, Adway Das, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Electric Airport Ground Support Equipment in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92139. https://www.nrel.gov/docs/fy25osti/92139.pdf

United States O'Hare Intl Airport: Number of Flight: International: Commuter data was reported at 0.000 Unit in Sep 2018. This stayed constant from the previous number of 0.000 Unit for Aug 2018. United States O'Hare Intl Airport: Number of Flight: International: Commuter data is updated monthly, averaging 372.000 Unit from Dec 1999 (Median) to Sep 2018, with 226 observations. The data reached an all-time high of 1,104.000 Unit in May 2011 and a record low of 0.000 Unit in Sep 2018. United States O'Hare Intl Airport: Number of Flight: International: Commuter 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.

The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). 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.