AVIATION INTELLIGENCE.
Historical Flight Data
The archive behind every market, performance, and commercial decision in aviation.
- 20+ years of scheduled and actual flight records, from 2004 to present
- Global coverage from airlines, airports, ADS-B, and FAA
- Full disruption detail including delays, cancellations, diversions, gate and runway times
Try our data
What's in the data
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Key data points
- Carrier name and code
- Flight number
- Scheduled and actual departure/arrival times
- Gate and runway times (estimated and actual)
- Flight date
- Departure and destination airports
- Delays, cancellations, diversions, and recovery
- Aircraft type and tail number
- Departure/arrival gates and terminals
- Check-in desk and baggage carousel
- Codeshare
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Time range
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2004 to present
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Data sources
- Airlines
- Airports
- FAA (Federal Aviation Administration)
- ADS-B (Satellite-based aviation surveillance technology)
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Configurable by
Airline, airport
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Data delivery
- Flight Info API (RESTful JSON)
- Flight Info Direct (Push/Pull API)
- Flight Leg Report
Pick the format that fits your stack
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Analytics
Explore 20+ years of flight history visually, including route performance, airfares, capacity trends, and carrier benchmarks.
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Snowflake
Query 5+ years of historical flight data directly with SQL — departures, arrivals, delays, cancellations, and gate times. No file uploads, no data engineering overhead.
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Files
Structured flat files in industry-standard formats for teams who need the full 20+ year flight archive. Ingest directly into existing models, warehouses, or reporting tools without managing a database connection.
One data set, hundreds of ways to use it
Track OTP trends
Measure on-time performance across any carrier, airport, or route using actual landing records back to 2004 to see exactly where performance stands over time.
Assess any market
Understand how any market has actually performed over time before making a commercial, strategic, or investment decision about it.
Validate your forecasts
Test forecasts against 20+ years of actual departures, arrivals, and disruption events so every model is grounded in what really happened.
Pitch with evidence
Win route development conversations and investor pitches with two decades of actual market performance behind every number.
Benchmark any carrier
Compare how any carrier performs on any route over any time period, across delays, cancellations, and on-time rates, against the rest of the market.
Report with confidence
Produce accurate reports for regulators, investors, or internal teams using verified flight records across any date range, no manual data gathering required.
Goes well with
Historical Flight Data gives you the evidence base for every market and performance decision. These data sets complete the picture.
Flight Status Data
Real-time tracking of flight cancellations and delays across thousands of flights every day.
Schedules Data
Forward-looking and historical flight schedules from 900+ airlines, updated every 15 minutes.
Minimum Connection Times
Industry-standard connection time rules covering 157,000+ MCTs and airline-specific exceptions globally.
Frequently asked questions
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How can the historical data be accessed or delivered?
OAG’s Historical Flight Data can be unlocked via Flight Info API, Flight Info Direct, and by Flight Leg Report, providing versatile gateways to accessing the most comprehensive and trusted historical flight data on the market.
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How often is the historical database refreshed?
OAG’s Historical Flight Data is updated in near real-time, surfacing the freshest data as it happens.
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How many years of historical data do you cover?
OAG’s Historical Flight Data spans back to 2004 to the present day, uncovering over two decades' worth of comprehensive insight to analyse then and now.
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What are some of the use cases historical flight data is best suited to?
OAG’s Historical Flight Data is best suited for use cases requiring high data accuracy, such as trend analysis, route performance evaluation, and analyzing flight patterns over time. Historical Flight Data is often used for market insights, identifying commercial and strategic opportunities, analysing risk management, building predictive modelling, and much more.
