Regional Course on Consumer Price Index Compilation Methods, 20 to 24 January 2025, Chiba, Japan CPIs measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countries, they were originally introduced to provide a measure of the changes in the living costs faced by workers, so that wage increases could be related to changing levels of prices. However, over the years, CPIs have widened their scope and now are widely used as a macroeconomic indicator of inflation, as a tool by governments and central banks for monetary policy and for monitoring price stability, and as deflators in the national accounts. With the globalization of trade and production and the liberalization of the markets, national governments, central banks, and international organizations place great importance on the quality and accuracy of national CPIs, and their international comparability.
|
|
|
e-Learning : Using administrative data to produce official statistics, 20 January to 21 February 2025 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. This course provides an overview of administrative data, a discussion of data quality issues and institutional mechanisms to ensure that administrative data can be used in the production of official statistics. The course builds upon content developed for in-person training courses conducted by UNSD and to which members of the Collaborative on Administrative Data have provided valuable input....here
|
|
|
e-Learning: Principles of Reproducible Analytical Pipelines for Official Statistics,17 February to 14 March 2025 Principles of Reproducible Analytical Pipelines for Official Statistics This e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics. What is a Reproducible Analytical Pipeline? Simply put, reproducible analytical pipelines (RAPs) are automated statistical processes (data processing and analysis) that codify to the greatest extent possible the production of official statistics. Common tools that are used to develop RAP include software such as R or Python, and version control management tools such as Git....here
|
|
|
National Training on Gender Statistics for Monitoring the Sustainable Development Goals (SDGs), 23 to 25 February 2025, Dhaka, Bangladesh National Training on Gender Statistics for Monitoring the Sustainable Development Goals (SDGs) Within the framework of the Sustainable Development Goals (SDGs), gender equality is not only a standalone goal but also one of the crosscutting universal values that underpin the SDGs and a necessary precondition for achieving the goals of the 2030 development agenda. Good quality, timely, comparable, and disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. The Progress on the Sustainable Development Goals – The Gender Snapshot 2024 produced by the United Nations Entity for Gender Equality and the Empowerment of Women (UN Women) and the Department of Economic and Social Affairs (DESA) shows that while there are notable advancements, including reductions in poverty, narrowing gender gaps in education, and progress toward legal reforms, there remains progress to be achieved across all indicators, with only five years left to reach the 2030 Sustainable Development Goal deadline.
|
|
|
Introductory webinar on the 2025 System of National Accounts-Pacific session, 25 March 2025 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. This course provides an overview of administrative data, a discussion of data quality issues and institutional mechanisms to ensure that administrative data can be used in the production of official statistics. The course builds upon content developed for in-person training courses conducted by UNSD and to which members of the Collaborative on Administrative Data have provided valuable input....here
|
|
|
Introductory webinar on the 2025 System of National Accounts-Asia session, 27 March 2025 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. This course provides an overview of administrative data, a discussion of data quality issues and institutional mechanisms to ensure that administrative data can be used in the production of official statistics. The course builds upon content developed for in-person training courses conducted by UNSD and to which members of the Collaborative on Administrative Data have provided valuable input....here
|
|
|
Upcoming and Ongoing Events |
|
|
|
e-Learning: Disaster related statistics framework, 03 March to 07 April 2025 Disasters continue to have an ever-increasing impact on life, well-being and sustainable development. Given these impacts, there is a high demand at the local, national and international levels for high quality, integrated statistics to inform all phases of the disaster risk management cycle. Furthermore, disaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at large, research institutions and policy analysts at the local and national levels. In response to the increased demands for disaster related statistics, the disaster management and official statistics communities in Asia-Pacific have developed the Disaster-related Statistics Framework (DRSF)....here
|
|
|
e-Learning: System of Environmental-Economic Accounting-Ecosystem Accounting, 14 April to 31 May 2025 It is well established that healthy ecosystems and biodiversity are fundamental to supporting and sustaining our wellbeing, our communities and our economies. Protecting and properly managing ecosystems is key to ensuring the continuous provision of ecosystem services such as pollination, carbon sequestration, flood protection, etc. Understanding the contribution of nature to our well-being and the impacts of our activities on the state of ecosystems are key for sustainable development...here
|
|
|
Regional Training on Big Data and Data Science for Gender Statistics in Asia and the Pacific, 21 to 24 April 2025, Daejeon, Republic of Korea The overall objective of the week-long training is to help participants better understand the use and benefits of Big Data in the production of gender statistics. To that end, the training program will present recent development in the compilation of gender statistics as well as new methods, case studies and processes that can facilitate the integration of Big Data in this process. The training will also emphasize the limitations, constraints and privacy issues inherent to the use of Big, non-traditional or administrative data. Please refer to the attached concept note, which provides a more detailed description of objectives, scope and requirements for the training...here
|
|
|
Regional Training Workshop on Measuring Energy for Sustainable Development, 13 to 16 May 2025, Chiba, Japan Climate change is one of the most pressing issues in the Asia-Pacific region. Yet emissions from fuel combustion in the region (and globally) continue to trend upwards due to increased demand for energy. In addition, households and businesses are faced with frequent price shocks in many energy commodities. High quality, consistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availability, climate change mitigation and just energy transitions...here
|
|
|
SIAP E-learning System SIAP offers a range of e-learning courses across the domains of social, environment and economic statistics; data science; and statistical principles and methodologies. These courses are facilitated and supported by an expert in the field to the participants through regular communication in discussion box and through webinar(s) during the period of course delivery. A certificate is issued to successful participants completing the course after passing the prescribed examination.
|
|
|
|
|