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Strengthening Capacity to Generate and Analyse Data on Food Security and Nutrition in African Countries - GCP/GLO/943/JPN








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    Brochure, flyer, fact-sheet
    Supporting Sustainable Development Goal (SDG) 2.1 Monitoring by Strengthening Food Security and Nutrition Information in Africa - GCP/GLO/943/JPN 2023
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    As African countries race against time to end hunger by 2030, improved country data is critical in tracking progress toward achieving Sustainable Development Goals 2 on zero hunger, nutrition and promote sustainable agriculture. The indicators used to monitor progress towards achievement of SDG 2 is the Prevalence of Undernourishment (PoU) and the Prevalence of moderate and severe food insecurity based on the Food Insecurity Experience Scale (FIES). However, the quality of data produced by countries that is necessary to produce these indicators has historically been limited. Through the FAO implemented project, the capacity of benefiting countries to capacities to collect, analyze and monitor data on food and nutrition security using standardized tools has improved. Reports on Food and Nutrition Security have been produced using the FAO methodologies and tools.
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    Brochure, flyer, fact-sheet
    Supporting Sustainable Development Goal SDG 2.1 Monitoring by Strengthening Food Security and Nutrition Information in Africa GCP/GLO/943/JP
    Improving data collection and analysis to monitor progress towards the SDG targets using robust, statistically sound indicators for food and nutrition security
    2022
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    As African countries race against time to end hunger by 2030, improved country data is critical in tracking progress toward achieving Sustainable Development Goals 2 on zero hunger, nutrition and promote sustainable agriculture. The indicators used to monitor progress towards achievement of SDG 2 is the Prevalence of Undernourishment (PoU) and the Prevalence of moderate and severe food insecurity based on the Food Insecurity Experience Scale (FIES). However, the quality of data produced by countries that is necessary to produce these indicators has historically been limited. FAO is enhancing national capacities to collect, analyze and monitor data on food and nutrition security using standardized tools that are internationally comparable to guide policies to end hunger and malnutrition.
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    Project
    Strengthening of Tanzania Food and Nutrition Security Information System for Quality, Timely and Reliable Data - TCP/URT/3705 2021
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    Relevant, reliable, timely, clear and concise information on current and projected FNS conditions is fundamental when making effective policy and strategic decisions, and critical in guiding mitigation measures to address food and nutrition insecurity. Such information enables policy development and strategic recommendations that link to appropriate responses aimed at building resilience and disaster risk reduction, saving lives and livelihoods, and reducing food deficit and acute malnutrition. To this end, in collaboration with the United Nations and other stakeholders, the Government of the United Republic of Tanzania formulated strategies to strengthen the institutional capacities of central government ministries and LGAs in 2007, with the aim of monitoring and managing an FNS Information System for better policy and strategic response to food and nutrition insecurity in the country. This led to the formulation of the Tanzanian FNS Analysis System, known in Swahili as Mfumo wa Uchambuzi wa Uhakika wa Chakula na Lishe (MUCHALI). The MUCHALI framework draws together information from multiple stakeholders and sectors, including government, national and international agencies, higher learning institutions, regional administrations and LGAs, as well as development partners, civil society organizations and the private sector. The main aim of the system is to conduct integrated analysis and reporting on the situation of FNS, and to provide strategic recommendations on interventions for decision-makers and stakeholders. FNS analysis has been conducted for many years in the country. However, existing systems for analysing food security had shortcomings that needed to be addressed to ensure sustainable FNS for all Tanzanians. Challenges included inadequate capacity at LGA level for food security analysis, a lack of explicit linkages between FNS analysis and decision-making, fragmented analytical efforts within national and international agencies, and poor linkages between food and nutrition security analyses. The Government further recognized the need to generate timely and quality data that are evidence-based not only at national level but, most importantly, at subnational level in order to enable a timely response to national needs at various levels. FAO was therefore requested to provide technical assistance to strengthen MUCHALI with regard to the Mainland and the Zanzibar Food Security and Nutrition Information and Early Warning System (ZFSNIEWS).

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