Data Methodology

How WINGX Collects & Processes Data

Data Collection & Sources

All flights and fleet data analysis is carried out by WINGX Advance through our proprietary harvesting of multiple data sources. We use advanced data verification, cleaning and processing methodology, database query logic, and integration of analytics into our reports, datasets and dashboards to ensure accuracy and reliability.

Our systems continuously integrate multiple sources to:

  • Validate information across different sources

  • Fill gaps where single sources may be incomplete

  • Identify and correct discrepancies

  • Maintain high data quality standards

Update Frequency & Data Freshness

How Current is the Data?

WINGX tracks live activity of all aircraft, with our most frequent reporting currently 24-48 hours lagging.

What this means:

  • A flight that occurred on Monday will typically appear in your dashboard by Wednesday

  • Most data is available within 24 hours

Why the lag? This processing time allows us to verify data accuracy across multiple sources, match flights to operators correctly, and ensure data quality standards are met.

Dashboard Updates

  • Daily Tracker - Updates daily with day-to-day flight activity, enabling any specific days to be compared

  • Historical analysis - Available for any date since January 2019

  • US and European Trends - Provide aviation data covering the last 20 years for long-term market analysis

Time Display

All times in WINGX are displayed in UTC (Coordinated Universal Time).

Data Coverage

Geographic Coverage

WINGX provides global coverage with comprehensive data for:

  • All major aviation markets (North America, Europe, Middle East, Asia-Pacific, Latin America)

  • Regional airports beyond major hubs

  • International cross-border flights

Aircraft & Operator Coverage

Business Aviation:

  • Jets, turboprops, piston aircraft

  • All operator types (Charter, Fractional, Corporate, Management, Private, etc.)

Commercial Aviation:

  • Scheduled airlines (narrowbody, widebody, regional)

  • Cargo operators and cargo-configured aircraft

  • Charter operations

Certifications Tracked:

  • FAA certifications (Part-135, Part-91K, Part 91)

  • EASA certifications (AOC - Air Operator Certificate)

How We Derive Key Metrics

Aircraft Homebase Determination

Method:

  1. Analyze the last 12 months (L12M) of aircraft activity based on your selected time period

  2. Calculate the share of departures from each airport

  3. Assign the airport with the largest share as the aircraft's homebase

Special Cases:

  • Fractional fleets - Marked as "Floating" (no fixed homebase)

  • Branded Charter - Marked as "Floating" (no fixed homebase)

Note: In Homebased Metrics module and Create Report module, ALL tails are assigned to an airport homebase (floating tail activity is integrated).

Flight Measurements

All flight measurements are wheels up to wheels down (actual flight time, not gate/block time):

Distance Classifications:

  • Measured in nautical miles (nm)

  • Ranges from <100nm local trips to >8,000nm intercontinental flights

  • 500nm bands capture typical regional operations

Sector Length Classifications:

  • Measured in time duration

  • Starting at 0-30 minute intervals for local flights

  • Progressing through 1-2 hour regional segments

  • Up to 5+ hours for extended international operations

Parking Data

WINGX measures time on the ground between arrival and departure for all aircraft to show:

  • Ground-stay periods (how long aircraft remain at airports)

  • Parking requirements based on aircraft dimensions

  • Hangarage needs based on MTOW and wing dimensions

Handling Volumes

WINGX tracks each movement with respect to:

  • MTOW (Maximum Takeoff Weight) of the aircraft

  • Wing dimensions (span and area)

From this, we identify indicative handling volumes and revenues.

Utilisation & Engagement

Hours Utilisation:

Total Flight Hours ÷ Number of Active Aircraft = Hours per Aircraft

Fleet Engagement:

(Active Aircraft ÷ Total Fleet) × 100 = % Fleet Engagement

Calculated over last 12 months (L12M)

Trend Calculations

YOY (Year-over-Year) Trend:

((Current Period - Same Period Last Year) ÷ Same Period Last Year) × 100

YTD (Year-to-Date) Trend:

((YTD Current Year - YTD Previous Year) ÷ YTD Previous Year) × 100

Rolling 7-Day Average:

Sum of Last 7 Days Activity ÷ 7 = Daily Average

Also shows YOY change for the 7-day period

Emissions Calculations

Fuel Emissions:

  • Calculated from sectors flown

  • Measured in US Gallons (USG) of Jet A1 fuel

  • Based on aircraft type, distance, and flight profile

CO2 Emissions:

  • Calculated from fuel uplift

  • Measured in tonnes of CO2

Fuel per Departure:

  • Average fuel consumption per flight

Data Accuracy & Limitations

"Under Research" Status for Operators

What it means: We've identified the aircraft and flight activity, but haven't yet confirmed the operating entity.

Why this happens:

  • New aircraft entering service

  • Aircraft recently transferred between operators

  • Complex ownership structures requiring additional research

Known Data Limitations

Age Classification:

  • Some age classifications remain under research for refinement

  • Unknown Age category exists for incomplete data

Time Zone:

  • All times displayed in UTC

  • Departure/arrival times reflect wheels up/wheels down, not gate times

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