Somali Integrated Statistics and Economic Planning Capacity Building

The objective of the Somali Integrated Statistics and Economic Planning Capacity Building Project for Somalia is to strengthen the national statistical system in the collection, processing and dissemination of poverty and selected macro-economic data to inform development policy and poverty reduction activities. The Project has four components. 1. Strengthening coordination, statistical infrastructure and data development of the national statistical system component will provide support to the client’s key official statistics producing agencies in strengthening the capacity of the country’s National statistical system (NSS) to collect data for poverty and macroeconomic monitoring. 1.1. Supporting the Development and Coordination of the NSS subcomponent will support the strengthening of the recipient’s legal and organizational framework for the NSS as well as statistical infrastructure. 1.2. Somali Integrated Household Budget Survey subcomponent will support the design and implementation of the Somali Integrated Household Budget Survey (SIHBS) for monitoring welfare, providing macroeconomic baselines and establishing a baseline survey for a frequent data collection system. 1.3. Strengthening Sources of Business and Administrative Data needed for the Compilation of National Accounts and Key Social Statistics subcomponent will address key data gaps needed to produce quality national accounts statistics that meet the basics of the System of National Accounts 2008 (SNA2008) and other international statistical standards. 1.4. Strengthening Human Capacity in Poverty, Consumer Price Index (CPI) and National Accounts Statistics subcomponent will support the training of staff to compile poverty indicators and indexes as well as to draw poverty lines, using new data from the poverty survey and new CPI. 1.5. Development of a Compendium of Statistical Concepts and Definitions, Data Access and Information Dissemination Policy subcomponent will support improvement in data...