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ProjectAdvancing Agricultural Statistical Capacity Development Across African Countries - GCP/GLO/472/EC 2025
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No results found.The Global Strategy for Agricultural and Rural Statistics (GSARS) was developed in 2009 as a blueprint for a coordinated and long-term initiative to address the decline in the agricultural statistical systems of a number of developing countries. Phase II of the Global Strategy, which is the focus of the project, aimed to address the growing demand for robust agricultural and rural data by enhancing the capacity of national statistical systems. At its core, the project sought to provide African countries with the technical and organizational skills needed to produce and better present agricultural statistics essential for evidence-based policymaking, monitoring and planning. This effort was particularly critical given the challenges faced by low and middle-income countries, where resources and trained personnel are often insufficient to support data-driven agricultural and food security initiatives. GSARS II also played a crucial role in fostering South-South Cooperation and accelerating the implementation of the 50x2030 Initiative, contributing to long-term impact and sustainability. -
ProjectEnhancing National Statistical Systems in Developing Countries - MTF/GLO/707/BMG 2022
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No results found.In 2015, world leaders adopted two important global initiatives to support sustainable development and international cooperation: the 2030 Agenda for Sustainable Development (2030 Agenda), with its 17 universal and global Sustainable Development Goals (SDGs), and the Addis Ababa Action Agenda (Addis Agenda). In agriculture, as in other sectors, the SDGs represent a broad, ambitious, and multidimensional programme of action. They place new demands on governments in all countries to improve coordination with global partners and with other sectors of society to deliver more effective policies and programmes , cutting across sectors and responding to complex economic, social, and environmental challenges. In order to address these growing demands, the project focused on rectifying the critical challenges of agriculture data scarcity, high costs, inaccessibility, low quality, low disaggregation, and low comparability that have long impeded effective agricultural programming and policy. -
ProjectStrengthening National Capacities, Ownership, and Financial Autonomy of National Agricultural Statistical Systems - GCP/GLO/677/USA 2023
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No results found.The need for better, cost effective and timely statistical data in the agricultural and rural sector is generally widely recognized. Thanks to the traction of open data movements, in recent years there has been some progress on accessing existing information. However, critical gaps in data production and dissemination persist in several countries. These critical gaps are due to longstanding issues, such as limited funding allocated to agricultural statistics, shortage of adequate human resources, and subsequent limited technical capacity in data collection and analysis. The absence of coordination between national statistical offices and ministries of agriculture means that agricultural data is often collected in institutional isolation, which further expands data gaps and affects countries’ capacity to respond to emerging data needs. Against this background, the project aimed to enable partner countries to implement a coordinated, integrated, standardized, and sustainable system of agricultural and rural statistics, expected to produce, on a regular basis, a minimum set of core data. The selected beneficiary countries were Cambodia, Senegal and Uganda.
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