Upcoming Events
This e-Learning course, developed by SIAP, provides a strong foundation on International Accounts based on Balance of Payments and International Investment Position Manual (BPM6). The aim of the course is to introduce participants the components of international accounts: International Investment Position (IIP), Balance of Payments (BOP) and Other changes in financial and liabilities accounts.
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 "National statistical systems: responding to the COVID 19 crises and building better for the future". The seminar will identify good practices of leadership under the crisis and future steps that should be taken to lead sustained capacity building for the crisis.
The focus of the course is on better understanding the relationship between climate change and economic activity. And the statistical framework that provides the concepts, definitions and methodology for measuring this relationship is the System of Environmental Economic Accounting. In particular, participants will learn about physical supply and use tables for energy and air emissions, and indicators that can be compiled from these accounts.
25 - 28 January 2021 | Remote Training
Participants are expected to contribute to capacity building on telephone surveys in their countries, and also preferably in their neighboring countries in their region. This training course would help countries conduct high-quality telephone surveys during the current pandemic as well as afterwards, as National Statistical Offices increasingly adopt to new modes of data collection.
The training will bring together statisticians from member countries of the Network for the Coordination of Statistical Training in Asia and the Pacific.
News
Amidst the COVID-19 pandemic, the Partnership in Statistics for Development in the 21st Century (PARIS21) in collaboration with Statistical Institute for Asia and the Pacific (SIAP) developed a unique training course for NSS, NSO leaders and national planning senior managers to improve strategic planning for data and statistical development, using innovative tools and methods. The course will give a thorough introduction to the NSDS process and introduces a holistic approach to capacity development, Capacity Development 4.0. In addition, this year’s NSDS course will feature special topics on gender statistics as well as fragility and resilience in crisis context.
This training course will also include an introduction on the Advanced Data Planning Tool (ADAPT), an innovative web-based planning tool for NSOs, national planning agencies, and other data producers to document data demands and supply and identify the data gaps in policy, planning and monitoring frameworks.
The demand for timely and high-quality crime statistics are on the rise to meet the challenges of monitoring the crime and criminal justice-related Sustainable Development Goals (SDG) indicators. This course introduces the crime statistics in relation to gender perspective to produce reliable and sufficient indicators to monitor relevant SDG. This course highlights basic concepts, methods and frameworks required to compile crime statistics from a gender perspective, and provide knowledge on the challenges and opportunities of working with different types of data sources (administrative data, sample surveys).
This course introduces concepts relevant to compiling energy statistics and accounts, including compilation of relevant SDG indicators. The topics covered include physical supply and use tables, asset accounts, valuation and data sources. Two webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions. Following the completion of the course and depending on resource availabilty, in-kind support will be provided to countries interested in the compilation of the energy accounts using tools that will be introduced and discussed during the course.
This course introduces concepts relevant to compiling metadata at the national level with emphasis on metadata for the SDGs. Among other topics covered, the course provides details on the template for compiling metadata which has been agreed upon at the international level. Two webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions.
The main objectives of this course are to provide deep knowledge about integrated transaction accounts, introduce the 2008 SNA-changes from 1993 SNA, explain the use of volume measures in national accounts and brief the participants about SDGs and SNA.
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 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.
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.
