This course introduces the SEEA Central Framework, the international statistical standards for measuring the interactions between the environment and the economy. By providing an internationally agreed standard with agreed concepts, definitions and classifications, the SEEA is an invaluable tool for compiling integrated statistics on the economy and the environment.
The objective of this e-Learning course is to provide a general understanding of the basic concept, methods and framework required to compile and monitor the 2030 Agenda for Sustainable development, in particular SDG 3 indicators.
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
The main objective of this course was to develop the knowledge and skills of participants on the compilation and dissemination of supply and use tables. Supply and Use tables serve as the basis for compilation of a range of accounts such as regional accounts, environments accounts labour accounts, tourism accounts and are used to validate / improve estimates of GDP. In the present context, these are also used for measuring the effect of globalization, digitization and sustainable development including wellbeing.
Seminar on Utilization of ICT for Official Statistics is designed to contribute towards modernization and capacity building of official statistics in Asia and the Pacific through enhancing utilization of ICT.
The Management Seminar aims to strengthen the leadership and management capabilities of the heads of national statistical offices (NSOs) by providing a forum to discuss, exchange views and share experiences. The theme of this year’s seminar is "Future of Economic Statistics". The seminar will draw on the experience of participants in identifying present level of production and use of official economic statistics in countries in the region and further expectation in terms of production of new economic and related indicators.
The Network meeting facilitates information sharing and promotes coordination among national statistical training institutions, regional and international statistical training providers, and donor agencies that provide funding for statistical trainings in the region. More detials.....
The course will provide the opportunity for participants to learn concepts and frameworks on statistics and indicators related to SDG 5, with the overall aim to strengthen capacity to produce a set of statistics, including indicators, to inform gender policy decisions at the national and international levels.
The training course is geared towards a) familiarising participants to the NSDS framework, anchored on the results based management principle; b) providing overview and understanding of new topics that are crucial to consider in strategic planning; and c) linking the ADAPT in the NSDS and national development planning processes. The training aims to strengthen the capacity of senior managers of NSOs and national planning agencies to prepare data plans that would address national data needs as well as advocate for better appreciation of data and statistics as important elements in national development planning.
This training course is to foster learning of NSO statisticians to have better understanding of data visualization principles and practices and what tools are available, how to use these tools, and create their own data visualization. Further, the training will facilitate appreciation of the organizational dimensions associated with data visualization and will explore how participants could implement this new learning in their own work.
This course introduces fundamental knowledge on poverty statistics. This course will help participants understand how to compile and monitor Sustainable Development Goals (SDGs) indicators related to poverty.
This regional workshops is to provide capacity development on methodology, data collection and calculation of selected SDG indicators related to sustainable and productive agriculture to government officials responsible for monitoring SDGs. These include SDG indicators 2.3.1, 2.3.2, 2.4.1, 5.a.1 and 12.3.1.