The database of the Swiss Sustainable Food System (SWISSfoodSys) model

This database is used for the documentation of the Swiss Sustainable Food System (SWISSfoodSys) model: version 1.0 (Djanibekov and von Ow, 2025). Each worksheet of the file is the data used for the parameter in the model. The database includes secondary data and data derived based on own assumptions. It includes data, and their units, description and sources. The elements depicted in the database are written in German, as SWISSfoodSys model is coded in German. Description, units and sources of the data are written in English. The database contains information such as on agricultural production and incomes, processing coefficients and capacities, import and export quantities of commodities, storage quantities, and consumption quantities of foods. The data is aggregated for the entire Switzerland. Crop production data is by production methods and regions. Information on livestock management is by intensities. Information on import and export of commodities is aggregated by commodities. Data on storage of products includes observed compulsory and optional storage quantities. Data on food consumption consists of current per capita daily consumption of different foods, and minimum and maximum per capita daily consumption of food portions. Some of the data used in the SWISSfoodSys model cannot be shared in this database. The data used for the environmental impact evaluation with Life Cycle Assessment are available in databases ecoinvent (Wernet et al., 2016), Agribalyse (Koch and Salou, 2016), AgriFootprint (van Paassen et al., 2019), World Food LCA database (Nemecek et al., 2019), and the SALCA databases (Gaillard and Nemecek, 2009). The data on pesticide risk indicators are available in Dueri and Mack (2024) and Korkaric et al. (2023). In addition, the data on nutrient content of food and HENI indices of foods were derived from Drewnowski et al. (2021) and Ernstoff et al. (2020). The data related to future food consumption projections are available at Loginova and Mann (2024a,b) and Mann and Loginova (2023).