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Improving Statistics for Food Security, Sustainable Agriculture, and Rural Development - An Action Plan for Africa 2011-2015

Author: Development Bank, United Nations Economic Commission for Africa, African Union Commission, Food and Agriculture Organisation of the United Nations
Organisation: Development Bank, United Nations Economic Commission for Africa, African Union Commission, Food and Agriculture Organisation of the United Nations
Publish Date: May 2011
Country: Africa
Sector: Development
Method: Creative thinking
Theme: Food
Type: Report
Language: English
Tags: Agricultural statistics, Food security, Poverty reduction, Agricultural growth, Socio-economic planning

In response to the decline in both the quality and quantity of agricultural statistics in developing countries, the United Nations Statistical Commission (UNSC) produced a Global Strategy for Improving Agricultural and Rural Statistics in February 2010. The purpose of the Global Strategy was to provide a framework and methodology that would lead to improvements in the availability and quality of international food and agricultural statistics. Africa was the first region to implement the Global Strategy, and the Action Plan for Africa of the Global Strategy was designed by the African Development Bank (AfDB), in partnership with the UN Economic Commission for Africa (UNECA), the Food and Agriculture Organization of the United Nations (FAO) and the African Union Commission (AUC). The action plan adopts a long-term perspective of 10 to 15 years and follows a phased approach, with the first phase covering the period from 2011 to 2015. The availability of accurate and consistent data will have a number of positive effects. It will allow farmers to make better choices in sowing and selling, and will boost agricultural productivity and incomes. It will also allow governments to develop socioeconomic planning and monitor progress. The implementation of the plan follows a twin-track approach: one track will cover country assessment, capacity building, the development of sustainable statistical infrastructure and research; the second track will include training and technical assistance.
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