Global Calendar of Statistical Events

Description: While tourism is a priority sector in Asia and the Pacific for its revenue- and job-generating potentialcountries and communities are often left to deal with the adverse impact of unbalanced tourismeconomic overdependenceand environmental pressures. To appropriately balance tourism-related policies in the economicsocialand environmental spheresthere is a need for a comprehensive analysis of data in these broad but interlinked domains. The Statistical Framework for Measuring the Sustainability of Tourism (SF-MST) provides an integrated approach to assess tourism’s economicenvironmentaland social dimensions. It provides a coherent structure for organizing data using common conceptsdefinitionsclassificationsand reporting rules. The broad coverage of statistical topics in this framework facilitates discussion of tourism impacts and supports policymakingincluding at local and destination level. It provides a consistent and comparable framing for the variety of measures relevant to comprehensively assess the sustainability of tourism. The SF-MST was endorsed by the United Nations Statistics Commission in 2024at which time Member States also noted the need for capacity building to support its implementation.

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Description: The need for harmonizedhigh-quality disaster-related statistics has become increasingly critical as hazardous events and disasters of growing intensity and frequency pose greater risks to society. To support the production of high-quality disaster-related statisticsthe Global Disaster-related Statistics Framework (G-DRSF) was endorsed by the United Nations Statistical Commission (UNSC) at its 57th Session in March 2026 as the first global statistical framework for the production of disaster-related statistics. The G-DRSF is a crucial element in the disaster data ecosystemconnecting data producers and disaster risk reduction policymakers. By providing internationally agreed upon conceptsdefinitionsclassifications and measurement recommendationsit helps countries to generate empirical insights that contribute to a better understanding of disaster risks and informing resilience building.

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Description: The Workshop on Data GovernanceInnovation and Quality Assurance in a Changing Data Ecosystem for the Asia-Pacific Region will take place from 13 to 16 October 2026 in ChibaJapan. The workshop is jointly organised by the United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (SIAP)with the support of the Office of the Director-General for Policy Planning on Statistical PolicyMinistry of Internal Affairs and Communications (MIC)Government of Japan. The workshop is also supported by the United Nations Development Account 18th tranche projectwhich will facilitate the participation of selected beneficiary countries in the Asia-Pacific region. The workshop will be conducted in English. Official statistics are essential for informed decision-makingpublic accountability and public trust. As demand grows for more timelygranular and integrated datanational statistical offices are increasingly expected to draw on administrative recordsgeospatial informationdata scienceartificial intelligence and other new and alternative data sources. These developments offer important opportunities to modernise statistical production and better meet user needswhile also raising challenges related to governancedata accessconfidentialitytransparencyinteroperabilitymethodological soundness and quality assurance.

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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.

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Description: The System of Environmental-Economic Accounting (SEEA) provides the agreed upon statistical framework for measuring the relationship between the environment and the economy. It is comprised of two complimentary international statistical standardsthe SEEA Central Framework (SEEA CF) and the SEEA Ecosystem Accounting (SEEA EA). The SEEA CF takes a resource-based approach to measuring the supply and use of environmental resources and availability of environmental assets. The SEEA EA takes a holistic and spatially explicit approach to compiling accounts on ecosystems. The SEEA can be flexibly implemented by countries prioritizing accounts based on availability of information and policy priorities. The accounts are designed to respond to data needs for multiple policy initiatives including global initiatives on sustainable developmenton mitigating and adapting to climate change and biodiversity. In additionthe Global Set of Climate Change Statistics and Indicators with its Self-Assessment Tool (CISAT) offers an opportunity to comprehensively assess data availability as well as the needs and gapsin an effort to priorities key steps to address the data challenges

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Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average the proportions of people in informal employment ranges from close to two thirds in emerging economies to nearly 90% in low-income countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality with the objectives of:1) Assessing progress in the production of statistics on informal employment and employment in the informal sector in Asia and the Pacific Regionand major hindrances in data production;2) Providing technical information and illustrations of good practices on collecting and tabulating data on informal employment and employment in the informal sector aligned to the latest development in labour market standardsand categories of informal workers as well as related data needed for the preparation of SDG indicators;3) Promoting the collection of data and improvement of statistics on informal employment and employment in the informal sector as an integral part of national labour force statistics; and4) Providing guidance and illustrations of good practices on how to conduct diagnoses of informality and how to contextualize indicators to decide on priorities and inform policy development and monitoring.

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Description: The Food and Agriculture Organization is the custodian agency responsible for developing and updating international methodologies and standards related to food and agriculture statistics. This includesthe World Programme for the Census of Agriculture (WCA); the 22 Sustainable Development Goal (SDG) indicators under FAO custodianship; guidelines related to agriculture surveysfisheries statisticsfood consumption; the food component of the Consumer Price Index (CPI); and the components of international classifications that are related to food and agricultureincluding in the Central Product Classification (CPC)Harmonized System (HS) used for trade statistics and the International Standard Industrial Classification (ISIC) of all economic activities.These international methodologiesguidelinesand classifications are critical to enable the linkage of data across multiple sources. They are updated periodically to reflect economicsocial and technological changesthough in a manner and with sufficient lag as to allow time trends to reflect actual phenomena rather than methodological changes. They are developed in consultations with experts from various subject matter areas and institutionsincluding national governmentsinternational and regional organizations such as UN agenciesacademianon-governmental organizations andwhere relevantthe private sector. They are presented to the UN Statistics Commissionrepresenting over 180 UN member statesfor final review and approval.FAO contributes to development of international methodologies and guidelines and classificationsand leads this work with respect to agriculture and food statisticsto leverage its expertise and meet its constitutional mandatewhich requires the organization to“collectanalyzeinterpretand disseminate information relating to nutritionfood and agriculture’“promote and … recommend national and international action with respect to scientifictechnologicalsocial and economic research relating to nutritionfood and agriculture”; and “furnish such technical assistance as governments may request1.”

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Description: The United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (UNSIAP)with the support of the Office of the Director-General for Policy Planning on Statistical Policythe Ministry of Internal Affairs and Communications of the Government of Japan are organizing a Regional Training Workshop on SEEA Asset Accounts for Sustainable Development. The workshop will be held in ChibaJapan from 16-19 June. The workshop will be conducted in English. The regional workshop is an opportunity for participants to increase their technical knowledge of the System of Environmental-Economic Accounting (SEEA) through lecturesexercisesand sharing country examples. Participants will learn about the SEEA framework and in particular the conceptual and compilation aspects for the SEEA asset accounts in physical and monetary terms. They will also learn about the relevance of the SEEA for evidence-based decision making and in monitoring national policies and international agreements including the Sustainable Development Goals. Institutional mechanismsdata governancedata sources and dissemination approaches will also be introduced. Furthermoreparticipants will have an opportunity to learn about the update process of the SEEA Central Framework. For additional information on the workshopplease see the concept note and provisional agenda attached.

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Description: This training will provide NSO heads with leadership skills to improve their effectiveness through greater awareness of their strengths and weaknessesand the challenges they face both internally within their organization and externally within the larger environment they are engaging with. NSO heads rarely have the opportunity to receive extensive feedback from staff and stakeholders outside. It is necessary to have to open opportunity and understanding to build a comprehensive plan for driving success within the NSO and the NSSand by extension the data ecosystem. Each individual has his/her own leadership style. Nurturing and developing these styles and skills with keen understanding and awareness of the challenges surrounding them will significantly improve their positive selfengagementcollaborationand contribution to the field they are engaged in. Leadership can be nurtured and developed if it is enabled to flourish in each individual using best practices built around(1) assessment tools to help leaders look within and examine their identityleadership skills and challenges and set developmental goals; (2) challenge-orientedexperientialteam-based activities that leverage their own experiences in cocreating solutions to enhance leadership skills; and (3) support through a peer learning and mentoring model that enable leaders to share their challengesutilize innovation techniques and chart a course for greater effectiveness. Self-knowledge is an important key to effective leadership.

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Description: The workshop, organized by the United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (SIAP), with the support of the Office of the Director-General for Policy Planning on Statistical Policy, Ministry of Internal Affairs and Communications of the Government of Japan, aims to further build capacities in the region for the compilation of energy information in support of energy and climate change policies.

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Description: The 2025 SNA framework will serve as the internationally recognized standard for compiling economic activity measures. It aims to enhance the understanding of well-being and sustainability while providing adaptable methods to integrate environmental and social dimensions into economic statistics. Critical conceptual and measurement issues, such as in advancements of digital products, the complex interplay between economic, social, and environmental factors, and the intricacies of global trade, have been harmonized and incorporated into the updated framework to a great extent. The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) Statistics Division will jointly organize a webinar, in collaboration with the Intersecretariat Working Group on National Accounts (ISWGNA) on the 27 March 2025 for Asian countries on the 2025 System of National Accounts. Please click this below link for event materials: https://www.unsiap.or.jp/face-to-face/econ/bs/2025-03-25-W_SNA.html Register for the webinar before 17 March 2025. To register for the webinar, please use the link: https://forms.office.com/e/RtpMniyadG?origin=lprLink. The programme is available in the concept note. Connection details (MS Teams) will be sent to registered participants. Should you have any questions, please contact, please contact Alick Nyasulu (nyasulua@un.org) or Chesca Rosales (chesca.rosales@un.org). , Introductory webinar on the 2025 System of National Accounts: Pacific session, 25 March 2025, 09:00-10:30 (UTC+9).

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Description: The 2025 SNA framework will serve as the internationally recognized standard for compiling economic activity measures. It aims to enhance the understanding of well-being and sustainability while providing adaptable methods to integrate environmental and social dimensions into economic statistics. Critical conceptual and measurement issues, such as in advancements of digital products, the complex interplay between economic, social, and environmental factors, and the intricacies of global trade, have been harmonized and incorporated into the updated framework to a great extent. The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) Statistics Division and the Pacific Community (SPC) will jointly organize a webinar, in collaboration with the Intersecretariat Working Group on National Accounts (ISWGNA) on the 25th March 2025 for Pacific Island countries on the 2025 System of National Accounts. Please click this below link for event materials: https://www.unsiap.or.jp/face-to-face/econ/bs/2025-03-25-W_SNA.html Register for the webinar before 17th March 2025. To register for the webinar, please use the link: https://forms.office.com/e/VF6PCRVrZn?origin=lprLink. The programme is available in the concept note. Connection details (MS Teams) will be sent to registered participants. Should you have any questions, please contact Alick Nyasulu (nyasulua@un.org) or Chesca Rosales (chesca.rosales@un.org). , Introductory webinar on the 2025 System of National Accounts: Asia session, 27 March 2025, 15:00-16:30 (UTC+9).

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Description: 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 countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.

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Description: The achievement of the Sustainable Development Goals (SDGs) requires the availability of high-qualitytimely and reliable data to produce the relevant SDG indicators and other statisticsdisaggregated as relevant. To meet this needofficial statistics must modernize and incorporate new data sourcesincluding Big Data. At its 53rd session in 2022the Statistical Commission underscored the importance of mainstreaming the use of big data and data science into the work programmes of national statistical offices and the necessity to include training in big data and data science into the training curricula of national statistical offices. This course is a first response to this injunction by sharing experienceand providing the pedagogical activities required for understanding the process leading to the production and dissemination of official statistics and SDGs with new data sources.The course Big DataInnovative Methods and Applications for Achieving organized by the United Nations Statistical Institute for Asia and Pacific (UNSIAP)with the contribution of the UN Women Centre of Excellence for Gender Equality (SeoulKorea) will be conducted from 21 to 25 October 2024in ChibaJapan.

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Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average the proportions of people in informal employment ranges from close to two thirds in emerging economies to nearly 90% in low-income countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality.

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Description: This regional training introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant SDGs (SDGs 5 and 16). The training provides an opportunity for participants to learn about gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targetswith the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statisticsto inform policy decisions at national and international levels.

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Description: Statistical Business Registers (SBRs) are often described as the backbone of economic statisticsas 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 domainsand 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 integratedcoherent and comparable statistics across countries and statistical domains. Inclusive and exhaustive SBRs are becoming an increasingly more important element of the statistical infrastructure for maintaining the relevanceresponsiveness and quality of economic statistics in order to measure the structure and dynamics of economic activity.

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Description: The Statistics Department (STA) of the International Monetary Fund (IMF)is implementing the “Environment and Climate Change Statistics Capacity Development Program”supported by the State Economic Cooperation (SECO). The program is oriented towards assisting beneficiary countries in the development and dissemination of indicators most relevant to their policy needs. Accordinglytechnical assistance will focus on developing one or two indicators that reflect the most urgent data needs of the targeted countries; and encompass the use of internationally agreed methodology or testing methodology underdevelopment. The program will build capacity in the project countries to compile select indicators through the organization of workshopstrainingsand targeted hands-on technical assistance.

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Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average more than half of the employment in non-agricultural sectors are informal and this rate can reach as high as 80% in some countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality

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Description: 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 countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.

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Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding COVID-19 and climate change; National statistical offices (NSOs) continue to be at the forefront of developing and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem. National statistical systems (NSS) in low and middle-income countries need to innovate and adapt quickly not only in terms of data productionbut also in more effectively re-usinganalysingdisseminating and communicating other existing sources of development data. The development of strong leadership and management skills at both senior- and mid - levels is key to ensure NSOs are positioned to drive change and operate in modern and dynamic data ecosystems. In this contextenhancing leadership skills of leaders of NSO through targeted trainings is an important strategy to position the NSO/NSS to respond to emerging data needsstrengthen institutional reputationand build trust among citizens.

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Description: In the Asia-Pacific region, climate change is one of the most pressing policy issues given its wide-ranging impacts on well-being. High quality, consistent data on the environment-economy nexus is needed to inform effective pathways for addressing climate change and related issues. National statistical offices (NSOs) of countries in the region have responded to this need by compiling various environmental accounts in compliance with the System of Environmental-Economic Accounting (SEEA) , including taking steps towards compiling energy and air emission accounts which are among the most relevant accounts for informing climate change. However, there is a need to strengthen the capacities of NSOs to produce and disseminate SEEA accounts, in particular energy, air emission and carbon accounts, to better meet the needs of users for high quality integrated data on climate change and the economy. The workshop, organized by the United Nations Statistics Division (UNSD) and the UN Statistical Institute for Asia and the Pacific (UNSIAP), with the support of the Office of the Director-General for Policy Planning on Statistical Policy, the Ministry of Internal Affairs and Communications of the Government of Japan, aims to further build capacities in the region for the compilation of SEEA accounts relevant to climate change. The workshop will take place at the headquarters of the UNSIAP in Chiba, Japan.

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