News 2025

The population and housing census is the most comprehensive source of data on the counts and characteristics of a country's population, forming the foundation of national statistical systems. Censuses provide essential social, economic, and demographic information, serving as baseline evidence for planning, developing, implementing, and monitoring policies across various sectors and diverse user needs, including research.

The Food and Agriculture Organization is the custodian agency responsible for developing and updating international methodologies and standards related to food and agriculture statistics.

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.

This e-learning course introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant Sustainable Development Goals (SDGs). The course offers participants an opportunity to explore gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targets, with the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statistics, to inform policy decisions at national and international levels. 

Sustainable consumption and production (SCP) and increased resource efficiency are priorities for many countries. These linked priorities are also reflected in the 2030 Agenda and the Sustainable Development Goals (SDGs) which call for sustainable management and efficient use of natural resources. Data on economy-wide material flow accounts (EW-MFA) are necessary to inform policies not only for the management of natural resources and waste, but also policies related to circular economy, resource use and ecosystems.

This course introduces machine learning as a tool for using either traditional (surveys, micro data,…) or non-traditional data sources (Big Data) to produce high quality predictions for Official Statistics or Sustainable Development Goals (SDGs) indicators.

Gender equality is a fundamental principle embedded within the framework of the Sustainable Development Goals (SDGs). It is not only a standalone goal (SDG 5: Achieve gender equality and empower all women and girls) but also a crosscutting topic that influences the achievement of the goals of the 2030 development agenda.

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 Policy, the 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 Chiba, Japan from 16-19 June. The workshop will be conducted in English. 

The 2025 System of National Accounts (2025 SNA) was adopted by the United Nations Statistical Commission during the 56th session in March 2025. The 2025 SNA is integrated with the 7th edition of the Integrated Balance of Payments and International Investment Position Manual (BPM). Varying capacities and experiences of national statistical offices in implementing the 2008 SNA will have an impact on the smooth transition to the updated framework.

The three-day crash course aims to equip participants with essential skills in R and RStudio, focusing on practical applications for data analysis for Official Statistics and SDG indicators. It is designed on an interactive platform to enhance a quick start in R, providing participants with practical skills to use a programming language for managing and analyzing data.

This training will provide NSO heads with leadership skills to improve their effectiveness through greater awareness of their strengths and weaknesses, and 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 NSS, and by extension the data ecosystem.

Climate change is one of the most pressing issues in the Asia-Pacific region. Yet emissions from fuel combustion in the region (and globally) continue to trend upwards due to increased demand for energy. In addition, households and businesses are faced with frequent price shocks in many energy commodities. High quality, consistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availability, climate change mitigation and just energy transitions.

The overall objective of the week-long training is to help participants better understand the use and benefits of Big Data in the production of gender statistics. To that end, the training program will present recent development in the compilation of gender statistics as well as new methods, case studies and processes that can facilitate the integration of Big Data in this process. The training will also emphasize the limitations, constraints and privacy issues inherent to the use of Big, non-traditional or administrative data.

It is well established that healthy ecosystems and biodiversity are fundamental to supporting and sustaining our wellbeing, our communities and our economies. Protecting and properly managing ecosystems is key to ensuring the continuous provision of ecosystem services such as pollination, carbon sequestration, flood protection, etc. Understanding the contribution of nature to our well-being and the impacts of our activities on the state of ecosystems are key for sustainable development.

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 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.

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.

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 underpin 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.

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.

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.

National statistical systems are increasingly using administrative data to compile official statistics. Such data can be utilized to better meet the increasing demands for new statistics and indicators that are highly disaggregated. Administrative data is not collected for the primary purpose of compiling official statistics, and statisticians need to ensure that the data meets certain criteria before using it to produce official statistics.