The International Food Policy Research Institute (IFPRI), established in 1975, provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition. IFPRI's strategic research aims to foster a climate-resilient and sustainable food supply; promote healthy diets and nutrition for all; build inclusive and efficient markets, trade systems, and food industries; transform agricultural and rural economies; and strengthen institutions and governance. Gender is integrated in all the Institute's work. Partnerships, communications, capacity strengthening, and data and knowledge management are essential components to translate IFPRI's research from action to impact. The Institute's regional and country programs play a critical role in responding to demand for food policy research and in delivering holistic support for country-led development. IFPRI collaborates with partners around the world.
ABSTRACTTaking a food systems approach is a promising strategy for improving diets. Implementing such an approach would require the use of a comprehensive set of metrics to characterize food systems, set meaningful goals, track food systems performance, and evaluate the impacts of food systems interventions. Food systems metrics are also useful to structure debates and communicate to policy makers and the general public. This paper provides an updated analytical framework of food systems and uses this to systematically identify relevant metrics and indicators based on data availability in low-and middle-income countries (LMICs). The list of indicators partly overlaps with the Sustainable Development Goals (SDG) indicators, but these do not cover all aspects of the food system. We conclude that public data are relatively available on food systems drivers and outcomes, and on some, but not all, of the activities. With only minor additional investments, existing surveys could be extended to cover a large part of the required additional data. For some indicators, targeted data collection efforts are needed. Because of the overlap with the SDG indicators, part of the collected data could serve not only to describe and monitor food systems, but to track progress towards attaining the SDGs.