Singapore Grand Prix 2025 — Private Jet Emissions Tracker
Formula 1 Night Race · Marina Bay Street Circuit, Singapore
Total CO₂
1,108 t
metric tonnes
Flights Tracked
35
private jet movements
Distinct Aircraft
32
unique tail numbers
Last updated October 5th 2025
Carbon Sky Index tracked 35 private jet movements across Singapore during Singapore Grand Prix 2025 2025. A total of 35 private jet movements were recorded, emitting an estimated 1,108 metric tonnes of CO₂. Emissions estimates are calculated using the EUROCONTROL EMEP/EEA Guidebook 2023 LTO and cruise phase methodology.
Private jet activity at Singapore averaged 73.4 t CO₂ per day in the 30 days before the event. During the Singapore Grand Prix 2025 window, daily emissions peaked at 400.2 t CO₂ on October 3 — 445% above baseline.
Daily Flight Activity
vs. 30-day rolling baseline
Peak above 30-day baseline
+445%
Excess emissions on peak day
327 t
Peak inbound date · 31 total
October 3
Of the 35 total movements recorded, 31 were inbound arrivals and 4 were outbound departures. Inbound flights generated 1,067.6 t CO₂ and outbound flights generated 40.3 t CO₂.
Inbound / Outbound Split
Inbound arrivals
31
flights
1,068 t CO₂
Outbound departures
4
flights
40 t CO₂
First & Last
First arrival
Nice/Cote D'Azur (LFMN)
Thu, Oct 2, 2025
Last departure
Jakarta (WIII)
Sun, Oct 5, 2025
The table below lists all 35 private jet movements tracked at Singapore during Singapore Grand Prix 2025 2025. 24 aircraft were making their first recorded visit to the event airports in the prior four months.
All Flights
35 totalPhnom Penh→Singapore
3.5 t CO₂
Auckland→Singapore
46.1 t CO₂
Essendon Fields→Singapore
22.0 t CO₂
Anchorage→Singapore
56.7 t CO₂
Paris→Singapore
47.2 t CO₂
Dubai→Singapore
36.3 t CO₂
Nesebar→Singapore
45.0 t CO₂
Osaka→Singapore
22.8 t CO₂
Lahr→Singapore
51.0 t CO₂
Singapore→Jakarta
4.9 t CO₂
Aircraft arrived from 10 distinct origin airports during the event window. The highest-volume origin was Dubai (OMDW), which accounted for 5 arrivals and approximately 164.6 metric tonnes of CO₂.
Top Origin Cities
| Rank | Origin city | |||
|---|---|---|---|---|
| 1 | DubaiOMDW | 5 | 165 t | 32.9 t |
| 2 | Phnom PenhVDPP | 3 | 14 t | 4.7 t |
| 3 | AnchoragePANC | 2 | 112 t | 56.2 t |
| 4 | FarnboroughEGLF | 2 | 113 t | 56.5 t |
| 5 | AucklandNZAA | 1 | 46 t | 46.1 t |
| 6 | Essendon FieldsYMEN | 1 | 22 t | 22.0 t |
| 7 | ParisLFPB | 1 | 47 t | 47.2 t |
| 8 | NesebarLBSB | 1 | 45 t | 45.0 t |
| 9 | OsakaRJBB | 1 | 23 t | 22.8 t |
| 10 | LahrEDTL | 1 | 51 t | 51.0 t |
3 arrivals (43.5 t CO₂) with no recorded origin are excluded from this ranking.
Fleet Breakdown
Frequently Asked Questions
How many private jets flew to Singapore Grand Prix 2025 2025?
Carbon Sky Index tracked 35 private jet movements across Singapore during the Singapore Grand Prix 2025 2025 window (October 2, 2025 to October 6, 2025). These 32 distinct aircraft emitted an estimated 1,108 metric tonnes of CO₂.
How much CO₂ did private jets emit at Singapore Grand Prix 2025 2025?
Private jets flying to and from Singapore Grand Prix 2025 2025 emitted an estimated 1,108 metric tonnes of CO₂ in total. Carbon Sky Index calculates emissions using the EUROCONTROL EMEP/EEA Guidebook 2023 methodology, covering both LTO (landing and takeoff) and cruise phase emissions.
Which airport had the most private jet traffic during Singapore Grand Prix 2025 2025?
Carbon Sky Index monitored traffic across Singapore. The highest volume of arriving aircraft came from Dubai, with 5 inbound flights recorded.
How does Carbon Sky Index track private jet emissions?
Carbon Sky Index uses ADS-B transponder data to identify private jet movements at monitored airports. CO₂ estimates are calculated per flight using the EUROCONTROL EMEP/EEA Guidebook 2023 methodology, which accounts for aircraft type, route distance, and both LTO and cruise phase fuel burn. Data is updated daily.
Flight data is sourced from ADS-B transponder signals aggregated from a global receiver network and updated daily. CO₂ estimates are calculated using aircraft-type hourly burn rates from the Carbon Sky Index emissions model. Read methodology →