Where do your emissions actually come from? Add up home energy, driving, flying, and diet to see your annual tonnes of CO₂ — and which lever matters most.
Carbon FootprintLive
your annual CO₂ in tonnes
8.7
tonnes CO₂ per year
Electricity
1.9 t
Driving
2.3 t
Flights
2.0 t
Diet
2.5 t
Controls
Presets
Diet
Your carbon footprint is the sum of the greenhouse gases your lifestyle emits each year. The big levers are usually flying, driving, home energy, and diet. The global average is about 4.7 tonnes per person, but a livable-planet target is closer to 2 tonnes. Estimates use typical emission factors and will vary by region.
Reading this result: Diet is your single biggest slice at 2.5 t of the 8.7 t total, so that is where a cut moves the needle most — one long-haul flight can outweigh a whole year of driving.
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
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How it works
A personal carbon footprint sums the greenhouse gases your lifestyle causes each year. The dominant contributors are usually air travel, driving, home energy, and diet. The global average is about 4.7 tonnes per person, while a Paris-aligned target is closer to 2 tonnes. Figures use typical emission factors and vary with your local electricity grid.
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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.
Is this carbon footprint calculator tool really free?▾
Yes. Carbon Footprint runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.