Data

Livestock supports the livelihoods of around 1 billion people in low- and middle-income countries (LMICs) (Thorne and Conroy 2017, Baltenweck et al. 2020). However, growth and productivity of the livestock sector in many LMICs are not keeping pace with the increasing demand for animal-source foods. Boosting the sector’s productivity is crucial for poverty reduction in LMICs, which continue to face multifaceted challenges and shocks that threaten the sustainability of food systems. This, in turn, requires reliable livestock data for informing livestock policies and investments.

Millions of people across 22 countries and territories may be pushed into acute food insecurity by May 2025, according to the latest FAO-WFP Hunger Hotspots Report. Ongoing and increasing conflict in many areas of the world, along with economic hardships and extreme weather caused by climate change and the La Niña phenomenon, are behind this significant increase in both the magnitude and the severity of acute food insecurity.

Food systems play an important role in shaping our diets. Recently, there has been growing attention to food systems transformation, which involves changing different components of global food systems to make nutritious foods more accessible to consumers. At the 2021 UN Food Systems Summit, more than 100 countries pledged to transform their food systems, a clear recognition of the importance of healthy diets in preventing all forms of malnutrition worldwide.

On January 12, 2024, trade between Rwanda and Burundi came to a halt when the border crossing was unexpectedly closed. Food prices in Rwanda may have been expected to fluctuate more than normal as a result—both falling prices for commodities typically exported to Burundi that instead began flooding local markets and rising prices for commodities typically imported from Burundi that faced suddenly limited local supply.

The CGIAR Initiative on National Policies and Strategies Nigeria has released the new Nigeria Food Security Simulator. This Excel-based tool allows users to estimate short-term impacts of household-level income or food price shocks and related policy decisions on diets and food security in the country.