Source: ESCAP SIAP (Data extracted on: 13 Jul 2026 )
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Organizer(s): ESCAP SIAP UNFPA UNSD
Description: Population and housing censuses are the most comprehensive and authoritative data sources on the size and characteristics of a country’s population. They form a cornerstone of national statistical systemsgenerating essential socialeconomicand demographic data. These data provide the baseline evidence required for planningpolicy developmentimplementationand monitoring across geographical levelssectorsas well as for research and analysis. Censuses also underpin many Sustainable Development Goal (SDG) indicatorsenabling countries to track progress toward national and global development targets. Since its first publication in 1958the Principles and Recommendations for Population and Housing Censuses have been a pillar of the decennial World Programmes on population and housing censusessetting out the standardsconceptsand methods that national statistics offices or other national institutions in charge of population censuses should follow to planorganizeconductand use population and housing censuses. In March 2025the United Nations Statistical Commission endorsed the 4th revision of these Principles and Recommendations. As with previous versionsthe revised guidance covers key census elements (characteristicsmethodologyand content) and addresses several key emerging issuessuch as the transition to alternative approaches from traditional methodsincluding the use of administrative data and other data sourcesthe integration of geospatial information with census dataemergency preparedness and contingency planningand quality assurance.
Source: ESCAP SIAP (Data extracted on: 13 Jul 2026 )
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Organizer(s): ESCAP SIAP SPC
Description: Domestic production in the Pacific is limited by the lack of resources and technologiesgeographic isolationhigh costsand insufficient economies of scale. As suchPacific economies are heavily reliant on international trade to supply their basic commodities and more complex machineryand to expand their market base. International merchandise trade statistics (IMTS) is crucial to monitor and analyze trade flowsproduction and consumption. Timely and high-quality trade statistics will better guide the development of trade and economic policies and infrastructure planning. As trade datasets grow in volume and complexitymanual data cleaningvalidationand compilation could be slowprone to errorlack an audit trailand not methodologically repeatable. Automating parts of the statistical production process offers reproducibility and reduces human errorstandardizes methods across reporting cycles and across countriesand allows small teams to focus on processes that need more careful manual deliberation (such as data cleaning procedures and analysis).This hybrid workshoporganized by the Pacific Community (SPC) and United Nations Statistical Institute for Asia and the Pacific (SIAP)aims to increase capacities of national statistical systems to compile international merchandise trade statistics by automating parts of their workflow process.
Description: Kevin McGee and Diego Zardetto, authors of Chapter 8 of the Handbook, will take participants through the process of producing survey weights for probabilistic surveys of households and individuals — from the underlying principles to their translation into practical, hands-on steps. Registration
Description: This course, delivered in collaboration with the Bank for International Settlements (BIS) and the European Central Bank (ECB), familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the BIS, and the ECB. 2015. The course covers definition and features of securities, valuation and accounting principles, classification schemes and presentation tables for securities. It also provides insights into the development and usage of security-by-security databases and emerging issues such as climate finance and tokenization. The course features hands-on workshops on the valuation and recording of debt securities, complemented by practical exercises on classifying various types of debt securities.
Target Audience: Officials in central banks and other agencies responsible for collecting and compiling securities statistics.
Target Audience: This workshop is designed for technical-level staff in ministries of finance, national statistics agencies, central banks, tax administrations, or other relevant line ministries who use data and analytical tools to inform macroeconomic and fiscal policy.
Description: Through presentations, practical exercises, and case studies, participants will: • Strengthen their understanding of institutional units, sectorization principles, and the delineation of the public sector within the GFS framework. • Enhance their capacity to identify and classify SOEs and apply market and non-market tests. • Learn how to transform accounting and financial statement data into GFS-compliant statistical outputs. • Develop practical skills in adjusting financial statements and compiling GFS statements for SOEs. • Participate in case studies and group exercises using real-world financial data. • Discuss recent developments related to SOE coverage and the new GFS Manual.
Description: This course is intended to broaden participants' understanding of the concepts, methods, and challenges of compiling CPIs. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2025 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users' needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs).
Description: This course is based on the conceptual framework of the System of National Accounts (SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current accounts, capital accounts, financial account, other changes in volume of assets account, revaluation account, and balance sheets) by institutional sectors. It examines the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The course provides participants with the necessary skills to compile-or further enhance-their country's institutional sector accounts and balance sheets. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly accounts, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.
Target Audience: Compilers of national accounts, including financial accounts statistics, and accounts on a from-whom-to-whom basis, who are employed by national statistical agencies and central banks.
Description: This course provides participants with the necessary skills to compile and analyze the BSA matrix - i.e. three-dimensional financial statistics. The BSA allows participants to examine overall balance sheet linkages and identify, as well as evaluate specific exposures and vulnerabilities, such as an excessive reliance on external funding, leverage buildup in the corporate sector, excessive household debt, and overreliance on the banking sector for sovereign debt placement. The course presents a user-friendly BSA tool developed by the IMF, which combines the balance sheets of the financial sector, general government, and the external sector into a single matrix to generate a distribution of claims and liabilities on a from-whom-to-whom basis-an extremely useful tool for macro-financial analysis. Country officials identify critical data gaps, if any, for their respective countries through the process of creating a BSA matrix using their own data submission of financial, fiscal, and external sector statistics to the IMF.
Target Audience: Officials at central banks, ministries of finance and other agencies responsible for (i) compiling monetary and financial statistics, government finance and debt statistics, and external sector statistics; (ii) the supervision and regulation of financial institutions; and (iii) conducting financial stability or macro-financial analyses.
Description: This course identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application. Emphasis is given to the importance of evaluating alternative data sources for compiling RPPIs in terms of coverage, timeliness, richness in terms of supporting a quality-mix methodology, suitability of a price measure, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices. Mix-adjustment by stratification and hedonic regression are the main methods used to deal with this issue, and interactive workshops deal with these topics. The course also highlights how data source and methodological issues are intertwined and follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank.
Target Audience: Mid-level to senior officials and compilers responsible for, or planning to introduce or develop, residential property price indices (RPPIs).
Source: ESCAP SIAP (Data extracted on: 13 Jul 2026 )
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Organizer(s): ADB MODS ESCAP SIAP
Description: Adopted by the 56th Session of the United Nations Statistical Commissionthe 2025 System of National Accounts (2025 SNA) serves as the internationally recognized standard for compiling measures of economic activity. The basic theoretical framework of the 2008 SNA is retained in the updated framework. The 2025 SNA gives more prominence to certain aspects of the economysuch as globalizationdigitalizationinformalityand emerging financial issues. The updated framework also provides a broader perspective in relation to the complex interplay among economicsocialand environmental factors.The 2025 SNA and accompanying guidance notes provide clarifications and elaborations on specific issues. These are complemented by published compilation guides and handbookswith further guidance currently under development to support implementation. International organizations are called to design training coursesboth in-person and onlineto assist countries in understanding the conceptual changes and clarificationsand in identifying priorities.
Organizer(s): Royal Statistical Society United Kingdom
Description: The RSS conference brings together the statistics and data science community from across the UK, Europe and around the world to share knowledge and learn about the latest developments in the field.
