Conference of European Statisticians Statistical Standards and Studies – serie

This publication clarifies the conceptual understanding of a circular economy from both the policy and the monitoring perspectives. The starting point is a short "headline definition" which highlights the interrelated features of all circular economy definitions: maintaining the value of materials in the economy for as long as possible whilst ensuring a positive outcome to society, and preserving natural capital (natural resources, environmental quality) and human health. The conceptual framework has four main components (material life cycle and value chain, interactions with the environment, socio-economic opportunities, and responses and actions). It is complemented with an initial set of indicators for monitoring progress towards a circular economy and a monitoring framework which discusses important measurement considerations, in particular the use of the System of Environmental Economic Accounting (SEEA) for measuring circular economy. The document also includes examples of measurement frameworks used by countries and other regional and national case examples on measuring the circular economy.

This publication aims to explore the specific barriers and challenges faced by National Statistical Organisations (NSOs) in adopting cloud technology, while also highlighting the experiences and lessons learned from official statistics organisations. By addressing these challenges and leveraging best practices, NSOs can effectively navigate the cloud adoption landscape and drive meaningful transformation in their operations. This publication shares the work of experts drawn from research on cloud adoption in organisational contexts.

This publication assesses progress of UNECE countries towards achieving the Sustainable Development Goals, relying on the data available in the United Nations global SDG indicators database. Stories on specific topics provide a closer look at how various regional and country level actions relate to sustainable development outcomes.

Across the world, statistical organisations undertake similar activities, albeit with variations in the processes that they use. Each of those activities uses and produces similar information. Although the information used by statistical organisations is at its core the same, all organisations tend to describe it slightly differently and sometimes in different ways within each organisation. The Generic Statistical Information Model (GSIM) is a reference framework for statistical information. It provides a set of standardised, consistentl described information classes, which can be used as inputs and outputs in the design and the production of statistics. As a reference framework, GSIM explains significant relationships among the entities involved in statistical production and can be used to guide the development and use of consistent implementation standards or specifications. As a common language to describe statistical information, GSIM can facilitate communication within and between statistical organisations. It can provide the foundation for in-depth collaboration, standardisation, or sharing of tools and methods, and thereby plays an important role in modernising, streamlining and, aligning standards and production associated with official statistics at both national and international levels. The modernisation of statistical production is needed for statistical organisations to remain relevant and flexible in a dynamic and competitive information environment. It is hoped that this User Guide for version 2.0 of GSIM will enable statistical organisations to realise the full benefits from its adoption and implementation.

This publication assesses progress of UNECE countries towards achieving the Sustainable Development Goals, relying on the data available in the United Nations global SDG indicators database in 2025. Stories on specific topics provide a closer look at how various regional and country level actions relate to sustainable development outcomes.

This Guide recommends suitable methods and practices for implementing changes in the classification of goods and services in the CPI. It complements the 2020 CPI Manual by presenting additional and more detailed guidance and examples of good practices for implementing classification changes in the CPI. Compilers of the CPI should continue to refer to the CPI Manual as the definitive reference for CPI compilation.

The publication describes concepts of exclusion or inclusion, equalities and well-being, and leaving no one behind, in the context of individual societies. It considers specific policy examples from across the world which have impetus for measurement of these concepts. It also provides different approaches and examples of a range of different measurement frameworks to social exclusion, social inclusion, multiple deprivations or multiple inequalities, and well-being.

The Guidelines are targeted at national statistical offices. The guidelines focus on the measurement of well-being ‘here and now’, a subset of a broader conception of well-being that also considers well-being ‘elsewhere’ and ‘later’. The Guidelines provide recommendations on the dimensions of well-being, on the selection and compilation of statistical indicators, data sources and the dissemination and communication of well-being indicators to the public.