There has been an increased recognition of the role that official statistics plays in overall development of countries. This has been largely due to the data demands for monitoring progress towards the achievement of the Sustainable Development Goals (SDGs) set out under the Agenda 2030 of the United Nations. Officials in the National Statistical Offices (NSOs) and ministries achieve knowledge on fundamental statistics and statistical system to compile and monitor indicators for SDGs; including compilation of indicators for monitoring of SDGs, United Nations Fundamental Principles of Official Statistics, legal framework, statistical methodologies, data collection, processing, statistical analysis, dissemination of data and result of analysis.
National statistical systems are increasingly using administrative data to compile official statistics. Such data can be utilized to better meet the increasing demands for new statistics and indicators that are highly disaggregated. Administrative data is not collected for the primary purpose of compiling official statistics, and statisticians need to ensure that the data meets certain criteria before using it to produce official statistics.
Inclusive and sustainable industrial development (ISID) is a primary source of income generation, allows for rapid and sustained increases in living standards of people, and provides technological solutions for an environmentally sound development. ISID is an integral part of the SDGs, particularly SDG 9, which focuses on industry, innovation and infrastructure. Promoting inclusive and sustainable industries and continuing to invest in physical infrastructure, innovation and research are vital to long-term economic development.
The workshop is to explore the potential benefits and pitfalls, as well as presenting a number of case studies from peers in the region to dive more deeply into specific contextual examples. Platform-specific experts will provide insights into how to communicate persuasively across Twitter, Facebook and LinkedIn, and National Statistical Offices (NSOs) will have opportunities to share their own experiences and discuss best practices.
This course is designed to provide a strong foundation for the main pillars of SDG 9, the relationship of this goal and the 2030 Agenda with ISID, including its contribution to building peace and prosperity for all. Target participants are government statisticians from national statistical offices, Ministry of Industry and Investment Promotion Agencies (IPAs) who are involved in compiling, disseminating and analyzing statistics and indicators on industry, innovation and infrastructure; conducting policy for industrial growth and attracting investments into their countries.
To strengthen capacity of entities belonging to national statistical systems by providing training to statistical staff that increases their knowledge and develops their skills to produce data, apply statistical methods to produce official statistics and indicators and interpret and use these for monitoring progress in achieving the SDGs
This course aims to provide insights on how to facilitate the alignment of national plans and indicator frameworks. It provides details on the important role statistical indicators play in monitoring national and sector plans.
This course introduces fundamental knowledge on official statistics. This course will help you understand how to compile and monitor Sustainable Development Goal (SDG) indicators from official statistics
This course introduces fundamental knowledge on official statistics. This course will help you understand how to compile and monitor Sustainable Development Goal (SDG) indicators from official statistics.
This course was jointly organised by the Institute and the Japan International Cooperation Agency of the Government of Japan. It is designed to strengthen the innovative capabilities of national statistical systems to explore new data sources such as geo-spatial information, big data, and alternative administrative data, and apply alternative/non-traditional methods for SDG statistics. The program will also develop ability to use the non-traditional supplementary data for disaggregation of SDG statistics.
