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MS Access Queries for Database Quality Control for Time Series - Work Book

GIS Exercise - 12th January 2004







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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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    FAO’s Technical Cooperation Programme (TCP) is one of the mechanisms to respond to countries’ most pressing needs for technical assistance and effectively pursue the achievement of the Sustainable Development Goals (SDGs). The 2019 Report of the Technical Cooperation Programme introduces a new series of annual reports that provide FAO Members, governments, donors, beneficiaries and other stakeholders with evidence of the impact of the work carried out by FAO through the TCP. Prepared by the Outreach, Marketing and Reporting Unit (PSRR), in close collaboration with the TCP Coordination Unit in the Office of the Assistant Director-General (ADG-PS), the first in the series presents and assesses the achievements and catalytic role of TCP-funded projects. Based on a review of the TCP projects operationally closed during 2018 and interviews with lead technical officers, technical officers at FAO headquarters, budget holders and FAO country representatives, the report provides details on the characteristics, typical interventions and results of the programme, and features a select number of in-depth stories to highlight the tangible and lasting results of the programme’s catalytic work.
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    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.