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Brochure, flyer, fact-sheetBrochureRealizing "Uganda Vision 2040" through Livestock
Evidence from the 2011/12 National Panel Survey
2015Also available in:
No results found.How many households keep livestock in rural and urban areas? What are their major production and husbandry practices, and their constraints to increase livestock productivity? This infographics presents an analysis of one of the largest datasets on livestock at household level available throughout sub-Saharan Africa: the Uganda 2011/12 National Panel Survey. In Uganda, the majority of rural households depend on livestock for their livelihoods; a binding constraint to increase livestock productiv ity is their limited utilization of extension services. While technical-fixes are important, it is as much as if not more important that policies and investments also address the so-called “last-mile challenge”, with the objective to ensure that livestock farmers are informed and have incentives to adopt improved livestock technologies and more efficient production and husbandry practices. -
DocumentOther documentInvesting in the livestock sector: Why Good Numbers Matter
A Sourcebook for Decision Makers on How to Improve Livestock Data
2014Also available in:
This Sourcebook on livestock data summarizes the activities and outputs of the Livestock in Africa: Improving Data for Better Policies Project. It provides guidance to decision makers responsible to collect and analyze livestock data from differ¬ent perspectives on how to systematically address livestock data-related issues within the context of the national agri-cultural statistical system. In particular, it first develops the skeleton of a sound livestock statistical system, consistent with th e demand of livestock information by stakehold¬ers and the principles of the Global Strategy to Improve Agricultural and Rural Statistics (World Bank, 2011) , which represents the foundation for producing good livestock data. It then presents a sample of methods and tools and associated examples designed to improve the quantity and quality of livestock data available to decision makers. These tools and methods target household and farm level data for example, trade data and the role of expert in formants to generate statistics are not dealt with in the Sourcebook and to a large extent have been tested in the context of the implementation of Living Standards Measurement Studies and small-scale data collection exercises in Niger, Tanzania and Uganda. They were jointly identified and developed based on dialogue between the Livestock in Africa: Improving Data for Better Policies Project and users and suppliers of livestock data and statistics at country level, including the Ministry respons ible for livestock development, the National Statistical Authority, and other national and pan-African public and private sector data stakeholders. As such, they address data issues which are of broad interest to livestock stakeholders: the 23rd session of the African Commission for Agricultural Statistics (AFCAS, December 2013) recommend¬ed country governments in the continent adopt some of the tools and methods presented in the following chapters to improve the quantity and quality of the live stock information available to decision makers. -
Brochure, flyer, fact-sheetFactsheetCountry factsheet on small family farms: TANZANIA 2018
Also available in:
No results found.The Smallholder Farmers’ Data portrait is a comprehensive, systematic and standardized data set on the profile of smallholder farmers across the world. This Factsheet generates an overview on how small family farmers in Tanzania live their lives by using the Data Portrait, putting an emphasis on the constraints they face, the choices they make.
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BookletCorporate general interestEmissions due to agriculture
Global, regional and country trends 2000–2018
2021Also available in:
No results found.The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018. -
BookletHigh-profileFAO Strategy on Climate Change 2022–2031 2022The FAO Strategy on Climate Change 2022–2031 was endorsed by FAO Council in June 2022. This new strategy replaces the previous strategy from 2017 to better FAO's climate action with the Strategic Framework 2022-2031, and other FAO strategies that have been developed since then. The Strategy was elaborated following an inclusive process of consultation with FAO Members, FAO staff from headquarters and decentralized offices, as well as external partners. It articulates FAO's vision for agrifood systems by 2050, around three main pillars of action: at global and regional level, at country level, and at local level. The Strategy also encourages key guiding principles for action, such as science and innovation, inclusiveness, partnerships, and access to finance.
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Book (stand-alone)General interest bookThe future of livestock in Uganda
Opportunities and challenges in the face of uncertainty
2019Also available in:
No results found.Uganda decision makers have to deal with so many uncertainties from multiple directions that prioritizing interventions and holding a straight course prove a daunting task. In the next decades, population growth, urbanization, smart technological innovations and adoptions, increased movements of people and goods, not to mention climate change, will thoroughly transform Uganda society, in ways that are often unpredictable. This report looks out to 2050 and presents alternative scenarios, or plausible portrays, of the future of the cattle and poultry sectors in Kenya. The government of Uganda, with support from FAO and USAID, engaged a multitude of stakeholders in a conversation around the knowns and unknowns of the future, such as past and projected trends of societal and livestock dynamics, current policy priorities, technology uptake and institutional changes.