Abstract
The Food Balance Sheets (FBS), compiled by the Food and Agriculture Organization (FAO), serve as a cornerstone dataset for studies on agricultural development, food security, and dietary health, providing a broad overview of global and regional food systems. However, its limited transparency and scalability hinder its application in empirical analysis and multisector dynamic modeling. Here, we present a traceable Food Balance Sheets (T-FBS) dataset, developed from detailed Supply Utilization Accounts (SUA) using a novel Primary Commodity equivalent (PCe) aggregation approach. This framework enables the aggregation of commodity flows along supply chains while ensuring consistency and balance across multiple dimensions. The T-FBS dataset includes 57 PCe commodities across 195 regions for the period 2010–2022, consolidated from over 500 SUA products. While T-FBS closely aligns with FAO-FBS at aggregate levels for dietary energy and macronutrients, it identifies key uncertainties in other elements (e.g., feed, trade, stocks). By enhancing methodological transparency, traceability, and scalability, T-FBS strengthens the robustness of food system studies and fosters future research and collaboration within the open-source community.
Date of this Version
5-21-2025
Recommended Citation
Zhao, Xin; Chepeliev, Maksym; Escobar, Neus; Binsted, Matthew T.; Patel, Pralit; Kyle, Page; and Wise, Marshall A., "Traceable and Scalable Food Balance Sheets from Agricultural Commodity Supply and Utilization Accounts (2010–2022)" (2025). Department of Agricultural Economics Faculty Publications. Paper 46.
https://docs.lib.purdue.edu/agedocs/46
Comments
This is the publisher PDF of Zhao, X., Chepeliev, M., Escobar, N. et al. Traceable and Scalable Food Balance Sheets from Agricultural Commodity Supply and Utilization Accounts (2010–2022). Sci Data 12, 834 (2025). Published CC-BY, the version of record and ADA Title II version is available in HTML at DOI: 10.1038/s41597-025-05137-y.