Photo: Rumi Consultancy/World Bank
The 50x2030 initiative brings together the strongest partners in agricultural development to solve the problem of the agricultural data gap.

A Partnership for Data-Smart Agriculture

Good Decisions Are Fundamental For Agricultural Growth. Yet, Decisions Can Only Be As Good As The Evidence That Informs Them.

THE 50x2030 INITIATIVE TO CLOSE THE AGRICULTURAL DATA GAP is a multi-partner program that seeks to bridge the global agricultural data gap by transforming country data systems in 50 countries in Africa, Asia, the Middle East and Latin America by 2030. This unprecedented initiative focuses on improving country-level data by building strong nationally representative survey programs.

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Agricultural Statistics Leaders Connect at ICAS 2023

Leaders of the 50x2030 Initiative recently attended the ninth International Conference on Agricultural Statistics (ICAS) in Washington D.C. ICAS 2023 was organized by the World Bank and USDA in coordination with the Food and Agriculture Organization of the UN (FAO). Key topics of focus for the...

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Closing the agricultural data gap in 50 countries by 2030

We aim to reach 5 countries in Latin America and the Caribbean, 15 countries in East Asia and the Pacific, Central Asia and South Asia, 30 countries in Sub-Saharan Africa and Middle East and North Africa
Quality, accessible, timely and reliable disaggregated data will be needed to help with the measurement of progress and to ensure that no one is left behind. Such data is key to decision making
UN Resolution
“Transforming our world: the 2030 Agenda for Sustainable Development, 2015”

50x2030 AIMS TO CONTRIBUTE TO 8 SDG INDICATORS and 9 CAADP INDICATORS

  • What is the 50x2030 Initiative to Close the Agricultural Data Gap?

    The 50x2030 Initiative was conceived to fill critical gaps in the availability and use of agricultural data in 50 low- and lower middle-income countries by 2030. Every year, governments in these countries invest US$957 billion in agriculture, often without good evidence to inform those investments. This leads to suboptimal outcomes, losses in productivity, shortfalls in agricultural income and, ultimately, more hunger and poverty. It also makes it extremely difficult for policymakers to make sound decisions that drive economic growth and reduce poverty. Implemented through a partnership...

  • There are so many global development initiatives? Why do we need 50x2030?

    50x2030 occupies a very distinct place in the data for development landscape. The Initiative involves an inter-agency collaboration at both the global and country levels, employs a distinct methodology (i.e. a new set of questionnaires that yield comprehensive, quality, timely data, and cover important dimensions like productivity, gender, etc.), and it intervenes at every stage of the data cycle: from identification of priority data needs and data production to ensuring data use for policymaking. Sustainability – both financial and technical -- is embedded in the program model. Partner...

  • How does the 50x2030 Initiative fit with a country’s programs?

    There are three ways. 1. It builds on existing agricultural and/or socioeconomic surveys The Initiative’s integrated survey program builds on existing agricultural and/or socioeconomic surveys in a country. The Initiative offers two survey models – the Agricultural Survey Program (Agricultural Model) and the Integrated Agricultural and Rural Survey Program (Integrated Model). A country may choose to implement the model that aligns with their needs and requirements. Figure 1 below provides an overview of the Initiative's two survey models. In the Agricultural Model, the survey will cover both...

  • Why are three different agencies involved?

    The Initiative’s implementation is divided into three interdependent components – data production, methods and tools development and data use. Each participating agency has deep experience and thus a comparative advantage in each area of work. FAO will lead the data production component through technical assistance and capacity building activities. The World Bank’s Center for Development Data (C4D2) will develop critical methodological research for agricultural (including fisheries, forestry and livestock) and rural surveys to produce more efficient and cost-effective measurement tools. To...