As of 28 February 2023
|Training of Trainers on Quality of Statistics for Sustainable Development Goals (SDGs)
||Quality data are vital for enabling governments, international organizations, civil society, private sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planning, follow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collection, processing, analysis and dissemination of an unprecedented amount of data and statistics at local, national, regional and global levels and by multiple stakeholders.
||SIAP, ESCAP, UNSD, DESA, DOSM, MIC ||Regional Training ||Perak, Malaysia|
|Regional Course on Statistics on Informality: Definitions, Measurement, SDG's and other Policy Indicators
||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. Therefore, every national policy targeting poverty, social protection, or decent work
needs to recognise the role of the informal economy in national development. Yet, the 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
||SIAP, ILO ||Regional Training ||Chiba, JAPAN|
|System of Environmental Economic Accounting (SEEA) - Ecosystem Accounting
||This e-Learning course introduces the System of Environmental Economic Accounting -Ecosystem Accounting (SEEA EA), the agreed statistical framework for collecting such information on ecosystems and their relationship to human activity. The SEEA EA provides an integrated statistical framework for organizing biophysical information about ecosystems, measuring ecosystem services, tracking changes in ecosystem extent and condition, and linking this information to measures of economic and human activities. It supports the compilation of indicators for several global policy frameworks including the 2030 Agenda for Sustainable Development and the associated SDGs indicators as well as the Kunming-Montreal Global Biodiversity Framework. The course is being organized by the United Nations Statistics Division (UNSD) and the UN
Statistical Institute for Asia and the Pacific (UNSIAP), under the overall guidance of the UN Committee of Experts on Environmental Economic Accounting (UNCEEA).
||SIAP ||online |
|Subregional Training on Monitoring Financial Protection in Health(SDG 3.8.2 and related indicators)
||SDG 3.8.2 indicator is focused on relatively large Out-of-Pocket (OOP) health spending which might lead to cutting spending on other basic needs such as education, food, housing and utilities.
But, recognizing that for poor and vulnerable people it is the absolute level of OOP health spending that is crucial – even if it represents less than 10% of a household’s total consumption or income
(budget) – indicators of impoverishing health spending are also used to track the lack of financial protection in health and demonstrate the interdependency between SDG 1 “End poverty in all its form everywhere” and SDG target 3.8 on “Universal health coverage”. Specifically, these additional indictors include the proportion of the population impoverished or further impoverished by household expenditures on health using different poverty lines.
The Subregional Training on Monitoring Financial Protection in Health will explain in detail the rationale to track SDG indicator 3.8.2, why additional indicators are needed and how the monitoring framework can be expanded to support relevant policy discussions. This training will also discuss the data requirements to monitor the lack of financial protection in health.
||SIAP, WHO ||Subregional Training ||Chiba, Japan|
|Regional training on Consumer Price Index
||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
||SIAP, IMF STA ||Regional Training ||Chiba, Japan|
|Disaster related statistics framework
||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
||SIAP ||online |
|Advanced Data Visualization for Official Statistics and SDG Indicators
||This course is an advanced course in data visualization, conceived as an extension to SIAP’s facilitated course “Data Visualization for Official Statistics and SDG Indicators” conducted in 2021 and 2022 or, alternatively, to the self-paced course “Principles of Data Visualization for Official Statistics and SDG Indicators” available on SIAP’s e-learning platform. This new course focuses on methods to produce high-quality graphics for monitoring and publishing official statistics and the Sustainable Development Goals (SDGs) indicators. It also highlights advanced topics such as network visualization, high dimension data visualization, visualizing uncertainty and address some important issues when communicating with graphics. In particular, storytelling and the construction of visual narratives for any type of audience, or inclusive data visualization, is emphasized and discussed.
||SIAP ||online |
|Regional Training Course on Big Data for Sustainable Development
||The achievement of the Sustainable Development Goals (SDGs) requires the availability of high quality, timely and reliable data to produce the relevant SDG indicators and other statistics, disaggregated as relevant. In order to meet this need, official statistics must modernize and incorporate new data sources, including Big Data. At its 53rd session in 2022, the 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 experience, and providing the pedagogical activities required for understanding the process leading to the production and dissemination of official statistics with new data sources.
||SIAP, KOSTAT ||Regional Training ||Deajon, Republic of Korea|
|Regional Training Workshop on Enhancing Statistical Leadership for Heads of National Statistical Offices (NSOs) in Asia and The Pacific
||With the increased and evolving demand for data from national development plans, Agenda 2030 for sustainable development goals, the current and post crisis affecting the World, including 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 production, but also in more effectively re-using, analysing, disseminating 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 context, enhancing leadership skills of leaders of NSO through targeted
trainings is an important strategy to position the NSO/NSS to respond to emerging data needs, strengthen institutional reputation, and build trust among citizens.
||SIAP, PARIS21 ||Regional Training ||Chiba, Japan|
|Regional Training Workshop on the SEEA Ecosystem Accounting
||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 standards: the SEEA Central Framework (SEEA CF) and the SEEA Ecosystem Accounting (SEEA EA). Adopted in 2021, the SEEA EA constitutes an integrated and comprehensive statistical framework for organizing data about habitats and landscapes, measuring the ecosystem services, tracking changes in ecosystem assets, and linking this information to economic and other human activity. The regional workshop is organized by the United Nations Statistics Division (UNSD) and the UN Statistical Institute for Asia and the Pacific (UNSIAP) as part of the Development Account project, “Environmental-Economic Accounting for Evidence-Based Policy in Africa and Asia”, which aims to address the technical and institutional barriers to the establishment and use of environmental-economic accounts. The workshop aims to build capacities in the region for the compilation of SEEA EA accounts relevant to biodiversity, as well as climate change.
||SIAP, UNSD ||Regional Training ||Manila, Philippines|
|Subregional 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 underpins 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 2022 Sustainable Development Goals Progress Report produced by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) shows that while there has been notable improvements in overall data vailability in Asia and the Pacific since the first benchmark report in 2017, there are still significant data gaps. Notably, at the subregional level, the report highlights a lack of sufficient data for Goal 5 (Achieve gender equality and empower all women and girls) and thus presents an incomplete picture of anticipated progress towards this goal for the Pacific. Strengthening capacities to produce and use gender statistics is central to closing the gender data gap.
||SIAP, UN-Women, SPC ||Subregional Training ||Seoul, Republic of Korea|
|Webinars on Indicators on business performance related to well-being and sustainability
(26 April, 31 May & 13 September)
||Historically business statistics have focused very much in measuring the economic performance and competitiveness of businesses. However, businesses play a very important role toward sustainability and wellbeing. Task team on well-being and sustainability under the UN Committee of Experts on Business and Trade Statistics (UN CEBTS) identified a set of 17 reference indicators related to the measurement of the business sector’s impact on well-being and sustainability. These indicators were based on the review of the indicators of the Sustainable Development Goal indicators of the 2030 Agenda for Sustainable Development and the core indicators for entity reporting on contribution towards implementation of the Sustainable Development Goals in order to provide a bridge between the information available at business level with business statistics and ultimately with relevant SDG indicators.
This webinar series will focus on the set of indicators related to wellbeing and sustainability and is organized to (1) provide an overview of the importance of measuring impact of businesses on wellbeing and sustainability; (2) review data sources including, for example non-financial reporting; and (3) share country experiences on challenges and opportunities in the compilation of these indicators. Participation to these webinars is free of charge.
||SIAP, UNCEBTS, UNSD ||online || |
|In-depth Training on Water Accounts
||Water is essential to achieve sustainable development. At a fundamental level, the availability of clean water in and of itself is necessary for our health and overall well-being. Water is also an important input to many economic activities, from the production of food and energy to the manufacturing of computers and cars. High quality and timely statistics on water are need in order to manage our water assets and track water supply and use.
This course will focus on water statistics and accounts, as well as some important water aggregates and indicators (including SDGs). The water accounts are based on the System for Environmental-Economic Accounting-Water (SEEA-Water) and the International Recommendations for Water Statistics (IRWS). These two documents support analysis of the role of water within the economy, understanding of the hydrological cycle and valuation of water assets. They are consistent with the SEEA Central Framework and follow a similar accounting structure to the System of National Accounts (SNA).
||SIAP ||online || |
| Sustainable Development Goal 9 (SDG 9):Industry, Innovation and Infrastructure
||Inclusive and sustainable industrial development (ISID) is a primary source of income generation, allows for rapid and sustained increases in living standards of people, and provides technological solutions for an environmentally sound development. ISID is an integral part of the SDGs, particularly SDG 9, which focuses on industry, innovation and infrastructure.
Promoting inclusive and sustainable industries and continuing to invest in physical infrastructure, innovation and research are vital to long-term economic development. Furthermore, industrialization not only contributes to economic growth and infrastructure upgrading, but can also directly and indirectly support the achievement of the SDGs’ socio-economic and environmental objectives through the creation of jobs, improvements in working conditions, innovation, and the development of new and greener production technologies. In addition to SDG 9, all other SDGs incorporate some industry-related aspects and targets.
||SIAP, UNIDO ||online || |
| Regional training for SDG4 monitoring using MICS survey data
||The United Nations Statistical Institute for Asia and Pacific (UNSIAP), together with United Nations Children’s Fund (UNICEF) and Statistics Korea (KOSTAT) will organize a regional training on education data capacity building from 15 to 19 May 2023, in Daejeon, Republic of Korea. The program will focus on understanding education indicators based on household survey data, as well as administrative sources with a focus on SDG4 and other relevant SDG targets related to education such as child labour. Most of the indicators, however, will come from MICS 6 data, which should be available for all participating countries. In addition to the training, the capacity building activity will also serve as an opportunity for participating countries to share their experiences in terms of data use, including both Education Management Information Systems (EMIS) and household data.
||SIAP, UNICEF, KOSTAT ||Regional Training ||Daejeon, Republic of Korea |
| Increasing user engagement around data and statistics – identifying and responding to user needs
||Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses.
||SIAP, UNSD ||online || |
| Introduction to International Recommendations on Refugee and IDP Statistics
||The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 100 million forcibly displaced persons in 2022. With displacement’s growing prominence, there is increasing interest at national, regional and international levels in statistics on refugees and IDPs including complete, accurate, timely and internationally comparable estimates of the numbers of people displaced, their well-being and vulnerabilities. Good-quality statistics are a requirement for developing, implementing and monitoring national, regional and international policies and agreements concerning refugees and IDPs.
|| SIAP, UNSD, EGRISS ||online || |
| Regional Training Workshop on an Accounting Approach to Climate Change Statistics and Indicators
||14/04/2023 ||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 standards: the 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 more holistic, approach in providing a spatially explicit approach to compiling accounts on cosystems.
|| SIAP, UNSD ||Workshop ||Chiba, Japan |
| Webinar on 2008 SNA Implementation
||23/02/2023 ||The System of National Accounts is a statistical framework that provides a comprehensive,consistent and flexible set of macroeconomic accounts that can be used by governments,businesses, and international organizations for policy making, analysis and research purposes. The SNA is intended for use by all countries, having been designed to accommodate the needs of countries at different stages of economic development. It also provides an overarching framework for standards in other domains of economic statistics, facilitating the integration of these statistical systems to achieve consistency with the national accounts.
|| SIAP ||online || |
| e-Learning course Compiling climate change indicators: an accounting approach || 16/01/2023 ||24/02/2023 ||This course introduces concepts relevant to compiling indicators that inform climate change. The topics covered include among others: climate change policies and indicators; energy and air emission accounts; and data sources. Weekly 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 availability, in-kind support will be provided to countries interested in the compilation of climate change indicators that will be introduced and discussed during the course. || SIAP ||online || |