Quantis World Food LCA Database

World Food LCA Database (WFLDB) is a comprehensive international life cycle inventory database and a global initiative led by Quantis in partnership with leaders in the agri-food sector. WFLDB was launched in 2012 in response to the growing need for reliable, transparent and coherent environmental data and a consistent methodology for assessing the impacts of agri-food products. The datasets reflect country average practices and are now exclusively available for SimaPro users.

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Why choose Quantis World Food LCA Database?

A wealth of data

WFLDB contains 2300+ datasets for 120 products in 56 countries. From fertilizers to fruits and from coffee to cocoa, data for the whole production chain are available. The WFLDB has been build using ecoinvent 3 as background data.

Continuous development

WFLDB has plans to develop datasets reflecting typologies of farming practices and supply chain interventions, to continue filling existing data gaps and to maintain, update and improve the current datasets.

Exclusive for SimaPro users

The World Food LCA Database is exclusively available for SimaPro users!

Download WFLDB

To download the database, you need to have an active license for SimaPro 9 or later, as well as a valid service contract. As WFLDB uses copies of ecoinvent 3.5 Cut-off system processes in its background model, a valid ecoinvent license is required. By downloading the database, you agree with the EULA for the World Food LCA Database.

Food-related activities account for an estimated 28% of global GHG emissions and are key drivers of land-use change, water scarcity, biodiversity loss and eutrophication. Aligning current production and consumption models in the agri-food sector with planetary boundaries is vital for constructing a resilient food system and ensuring companies continue to thrive in a resource-constrained world.

To accelerate this shift, companies need ambitious science-based sustainability strategies built on robust metrics. The World Food LCA Database (WFLDB), provides players across the agri-food value chain with high-quality emissions factors and environmental footprint data (including carbon, water, land, etc.) to help them better understand the impacts of their products and bolster decision-making.

"Quantis is happy to make the outcome of the 6-years WFLDB project available to the LCA community. We trust that high quality LCI datasets and methodological transparency are needed to support science-driven decision making in the area of environmental sustainability."

Xavier Bengoa, Senior Sustainability Consultant, Quantis

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