Where Data Tells the Story
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Every meal on your plate is loaded with more than just nutritional value — it’s packed with hidden fossil fuel calories. From the diesel that powers tractors to the oil fuelling global food distribution, our modern agricultural system is deeply dependent on finite resources. In pursuit of higher crop yields and industrial efficiency, food production has become an energy-intensive process – embedding each calorie of food with multiple calories of fossil fuels.
This infographic brings to light the striking disparities across major economies — some nations burn over five fossil fuel calories for every single food calorie consumed, while others manage with a fraction of that. The implications are vast – as the world battles climate change and works toward the Paris Agreement’s goals, cutting the fossil footprint of our food is no longer optional – it’s imperative for reducing the fossil fuel footprint of our food systems.
Our food systems must transition away from petroleum-dependent fertilisers, machinery, and transportation, or risk exacerbating soil degradation, water depletion, and biodiversity loss.
The numbers in this visualisation highlight why the future of food must be reimagined. Understanding the fossil fuel intensity of our diets is the first step in putting both our future and our ‘fork’ in our hands. Reducing the fossil fuel footprint of our food isn’t just a ‘choice’ — it’s a necessity for a sustainable future, resilient food systems, and a healthier planet.
Key Takeaways:
Data Source and Methodology:
Fossil fuel intensity is calculated by the Global Footprint Network using Ecological Footprint-based MRIO models to track energy use across supply chains. The calculation covers all energy used — from farming and processing to transport and retail.
Access the data with the link – https://www.overshootday.org/food-and-fossil-fuels/
Access to MRIO Assessments – https://www.footprintnetwork.org/resources/mrio/
Note: Not all countries are covered by the Global Footprint Network’s MRIO analysis.