Recent activities



Webinar on Measuring Digital Trade

6 March 2024 

This webinar will provide the participants with a clear understanding of the importance of measuring digital trade, and the conceptual framework for measuring digital trade whilst focusing on the fundamental concepts and statistical definitions. A variety of examples and practical applications will be shared by country representatives.  The webinar will also emphasize the importance of digital trade statistics in evidence-based policy making.


Regional Course on  Statistical Business Registers

11-14 March 2024 Chiba, Japan

Statistical Business Registers (SBRs) are often described as the backbone of economic statistics, as they provide the core infrastructure to support the collection of economic data and the production of economic statistics. They provide a coherent set of units and classifications to collect and compile data across all domains, and a consistent set of rules to maintain this set of units over time. SBRs are considered as the backbone for producing economic statistics that meet the increasing demand for better integrated, coherent and comparable


SIAP and ESCAP delivered a  technical training on Machine Learning and GIS for Land Cover Estimation in Port-Vila (Vanuatu), 15 - 26 April 2024

SIAP and ESCAP delivered a  technical training on Machine Learning and GIS for Land Cover Estimation in Port-Vila (Vanuatu) from 15 to 26 April 2024. 40 participants from the Vanuatu Bureau of Statistics as well as from other ministries (Department of Forestry, National Disaster Management Organization, and the Department of Urban Affairs) engaged in this 2 weeks training with great  attention and motivation.  The technical training equipped the participants with a basic understanding of Data Science, Data visualization, Machine Learning, and foundations of GIS, including how these components fit together into a workflow for land account compilation. Exercises helped  to actively engage with each participant individually and see the progress that was achieved during the course. Several handouts and a case study showcasing a land cover map estimated from simulated points and satellite images from the Port-Vila area highlighted the applicability of the


e-Learning course:Introduction to the System of Environmental Economic Accounting (SEEA) Central Framework

4 March – 12 April 2024

This course introduces the SEEA Central Framework, the international statistical standards for measuring the interactions between the environment and the economy. It is comprised of 5 modules. The first module introduces the SEEA. Modules 2 discusses accounting for physical flows while module 3 discusses accounting for environmental assets. The fourth module contains details on environmental activity accounts, combined presentations and indicators. The last module contains an overview of subsystems, applications and extensions.


Upcoming and Ongoing Events

e-Learning course:The International Recommendations on Refugee, IDP and Statelessness Statistics

1 April-24 May 2024 

The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 108.4 million forcibly displaced persons in 2022. Similarly, the issue of statelessness continues to persist in society, with 4.4 million people currently estimated to be stateless. This course introduces the “International Recommendations on Refugee Statistics” (IRRS), the “International Recommendations on IDP Statistics” (IRIS) and the “International Recommendations on Statelessness Statistics” (IROSS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS), 2020 (IRIS) and 2023 (IROSS), respectively. The course is spread over six substantive modules and provides details on the statistical framework for compiling refugee, IDP and stateless persons statistics. It introduces concepts, definitions, classifications and methodologies relevant to collecting, compiling, analyzing and disseminating data and indicators on refugees, IDPs and stateless persons, 2 including Sustainable Development Goal (SDG) indicators. The course also includes information on data sources, institutional mechanisms, and coordination. 


In the spotlight

e-Learning course:Principles of Reproducible Analytical Pipelines for Official Statistics, 06 to 31 May 2024 

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


Training Resource

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.



The Statistical Institute for Asia and the Pacific
JETRO-IDE Building, 2-2 Wakaba 3-chome Mihama-ku, Chiba-shi, Chiba 261-8787, Japan

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