Description: <p>The 2024 meeting of the UN Committee of Experts on International Statistical Classifications will take place virtually in two sessions in May and October respectively. The second session of the meeting is scheduled virtually for 29, 31 October and 5 November 2024 from 6.00am to 9.00am New York time. The Committee is expected to review the progress of the Committee’s work programme and provide advice for the activities for the rest of the year.</p>
Description: The Statistical Commission for Africa is the regional equivalent of the Statistical Commission of the Economic and Social Council, which is the highest body in the global statistical system. The Statistical Commission for Africa is the highest decision-making body in Africa responsible for setting statistical standards, developing concepts and methods and implementing them at the national, subregional and continental levels. The meeting provides an opportunity for participants to discuss the link between African and global statistical systems to ensure that Africa is not left behind in global statistical initiatives. Participants will also be able to discuss progress and statistical development in African statistical systems. Furthermore, the meeting will serve as a platform for international partners to meet representatives of member States of the Economic Commission for Africa to discuss the needs of those member States.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer an overview on the various necessary steps to compile a supply-and-use system and for the transformation of the resulting data in matrices, focusing on practical examples on how that compilation is made. The second objective is to provide an introduction into input-output analysis and to show how this technique may be used for structural analyses. In particular the course aims at illustrating in which fields input-output analysis can be used to address questions of high political relevance.
Target Audience: The course is targeted at ESS staff interested in the principles of compiling supply and use tables according to ESA2010 and in understanding the main concepts and the potentials of input-output analysis for empirical investigations of high political relevance; Sound command of English.
Description: United Nations Statistics Division, under the guidance of the Inter-Secretariat Working Group on Household Surveys (ISWGHS), is embarking on a project to revise and update the series of United Nations methodological publications on household surveys.<br>The meeting will bring the experts together to:<br><ul><li>Review and gather input on the first draft of the revised UN Handbook on Household Surveys;</li><li>Conduct a mid-term assessment of the revision and consultation process;</li><li>Discuss plans for the disseminating, promoting and supporting the use of the revised handbook, along with a long-term strategies for keeping the handbook up to date.</li></ul><br>The draft handbook will be further revised based on input from the technical meeting and will be presented to the 56th UN Statistical Commission in 2025.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Description: Organized on the sidelines of the 52nd Plenary Session of the Committee on World Food Security (CFS 52), held from 21 to 25 October 2024 in Rome, Italy.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: ESCAP SIAP (Data extracted on: 09 Sep 2024 )
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Organizer(s): ESCAP SIAP UN-WOMEN
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.
Description: Save the date to attend the fifteenth meeting of the Inter-agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs). The meeting will be held in person from 21 to 23 October 2024 in Oslo, Norway.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Statistics Norway
Description: To create an awareness of the possibilities and challenges of mixed mode questionnaire design generally, and for IESS surveys specifically.
Target Audience: Pretesting, data collection and subject matter specialists conducting or planning mixed mode data collection for social surveys covered by the IESS framework regulation.
Organizer(s): Bank Indonesia UNSD UNCTAD AI Generated
Description: <p>The international high-level seminar aims to help policymakers, statisticians, academics, and others understand the increasing trend of cross-border digital trade. The discussion will focus on policy issues, opportunities, and challenges related to digital trade. It will also address the participation of SMEs and individuals/households in utilizing digitalization to boost economic growth and explore innovative methodologies for collecting cross-border digital trade statistics. It targets a diverse audience of approximately 100 in-person participants, including central bank representatives, government officials, statistics compilers, academics, and private sector members.</p>
Description: The webinar, organized by the Friends of the Chair Group on Social and Demographic Statistics, in collaboration with the United Nations Statistics Division (UNSD), will explore the concept of time as a crucial integrating element in social and demographic statistics. The event will address best practices for data collection and dissemination frequencies, the importance of longitudinal data and life course approaches in understanding social outcomes, and propose mechanisms to ensure the adaptability and relevance of demographic and social statistics over time.<br>Key themes include managing trade-offs between timeliness and resource constraints, understanding social outcomes through life course transitions, and incorporating generational measures to reflect societal changes. The webinar aims to foster comprehensive discussions and generate recommendations that enhance the collection, analysis, and dissemination of demographic and social statistics.<br><br> Registration
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB), other depository corporations (ODCs) and other financial corporations (OFCs) in accordance with international statistical standards. Course materials are based on the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectoring of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants will also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. They will also gain a deeper understanding of the OFCs sector and their relevance for compiling a broader and often more reliable measure of the liquidity available in an economy and financing extended to the nonfinancial sectors and nonresidents by the financial corporations.
Target Audience: Central bank officials, officials from financial regulatory agencies responsible for compiling monetary statistics as well as users interested in understanding key conceptual framework and compilation process.
Source: ESCAP SIAP (Data extracted on: 09 Sep 2024 )
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Organizer(s): ESCAP SIAP ILO
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.
Description: FAO proposes to advance methodological development for analysing public domestic resource flows through the review of public expenditure on forests based on officially accepted norms and definitions provided by international standards and FAO instruments.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; * To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; * To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting.
Organizer(s): UNSD UNCTAD Bank Indonesia AI Generated
Description: <p>The international workshop will cover topics described in the recently released Handbook on Measuring Digital Trade, which establishes a framework for compiling cross-border digital trade statistics and addresses the pressing need for accurate measurement in this rapidly evolving domain. Participants will learn about the conceptual framework for statistics on cross-border digital trade and discover sources and methods for compiling digital trade statistics. This event is essential for statistical compilers, policymakers, and data users seeking to ensure that the adoption of digitalization in international trade is well captured and understood.</p>
Description: Provisional Programme Concept Note Background The ESCAP Committee on Statistics, at its 2nd and 5th sessions, endorsed a Regional Programme for the Improvement of Economic Statistics in Asia and the Pacific and an Implementation Plan of the Regional Strategy to Improve Population and Social Statistics in Asia and the Pacific, respectively (E/ESCAP/CST(5)/3 and E/ESCAP/CST(5)/3/Corr.1). Two Steering Groups, namely, the Steering Group of the Regional Programme for the Improvement of Economic Statistics in Asia and the Pacific (SGRPES) and the Regional Steering Group on Population and Social Statistics (RSG-PSS), were created to oversee the implementation of the Programme and Plan. The two groups, since their establishment, have worked to strengthen statistical capacity in the region, according to their respective programmes. Following the Committee’s endorsement in 2016 of the collective vision and framework for action by the Asia-Pacific statistical community, as a regional approach to meeting the urgent and evolving statistical demands arising from the 2030 Agenda for Sustainable Development, the groups aligned their efforts with this vision. Meeting objectives The main objectives of the meeting are to: Exchange national experiences, practices and innovations in economic, social and population statistics as well as priority topics recommended by the Committee on Statistics, including data governance, big data, gender statistics, and well-being and sustainability measures. Learn of relevant initiatives by regional and international development partners Identify priority areas/topics for potential capacity building or sharing of knowledge and experience in future.
Title in Spanish: Taller de intercambio de las buenas prácticas del IPC y su sincronización respecto al Programa de Comparación Internacional (PCI)
Organizer(s): INE Chile ECLAC AI Generated
Description: El Taller de intercambio de las buenas prácticas del IPC y su sincronización respecto al PCI, se realizará del 14 al 18 de octubre de 2024 en la sede del INE de Chile (Moránde 801, piso 2, Santiago).
Description: Join this insightful webinar organized by the Friends of the Chair Group on Social and Demographic Statistics (FOC), in collaboration with the United Nations Statistics Division (UNSD), exploring the critical role of location, geography, and places in social and demographic statistics. The places where people grow up, live and work significantly influence their lives, revealing disparities and informing policy through place-based breakdowns and geo-spatial analysis. This session will also discuss how geography acts as a crosscutting element, integrating various data sources and linking different statistical domains. Key topics include the use of georeferenced data, the potential of satellite imagery, and techniques like small area estimation to address data gaps. The discussion will highlight national perspectives and user demands, showcasing examples of how 'place' can predict social outcomes and enhance data dissemination through geoportals.<br><br> Registration
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training.
Target Audience: The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices.
Description: The United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM), in collaboration with the Government of México through Instituto Nacional de Estadística y Geografía (INEGI) will convene the Seventh High-level Forum on United Nations Global Geospatial Information Management with the theme "Accelerating Implementation: Achieving Resilience" in México City from 8 - 10 October 2024. This seventh edition of UN-GGIM's High-level Forums will continue UN-GGIM's regular high-level, multi-stakeholder discussions on global geospatial information management, through the convening of global forums, aimed at promoting comprehensive dialogue among Member States, and between Member States and relevant international organizations, UN system entities, and stakeholders At its thirteenth session in August 2023, the Committee of Experts, with decision 13/101, welcomed the offer of the Government of México, through its National Institute of Statistics and Geography, to host the Seventh High-level Forum in México City in October 2024 and confirmed the support of the Committee of Experts in the development and implementation of the programme of the Forum. The Seventh High-level Forum has the substantive support from each of the five Regional Committees of United Nations Global Geospatial Information Management (UN-GGIM: Africa, UN-GGIM: Americas, UN-GGIM: Arab States, UN-GGIM: Asia and the Pacific, and UN-GGIM: Europe), as well as the functional groups and thematic networks of the Committee of Experts.. An advisory committee has been established to develop and promote a compelling substantive agenda for the High-level Forum with high-level keynote and plenary presentations for the three days. Additional information including an outline of the substantive programme, local arrangement and logistical information will be provided on this website when available.
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat Icon-Institut
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: Background: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.
Target Audience: National statistical offices (NSOs); IT specialists; Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations; etc.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Understand the challenges and the issues of web data; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: The 12th SDMX Experts workshop will be organised from Monday 7 to Friday 11 October 2024 in Amsterdam at the Park Centraal hotel. The biennial event will comprise four days of workshops followed by a day which will focus on side meetings to explore specialised topics. Given the technical nature of the meeting, the target audience for physical participation are experienced SDMX practitioners and participation requests will be subject to approval by the SDMX Sponsors. However, we would be welcoming everyone who is interested in the SDMX standard to join us virtually via livestream.
Description: This sprint, the second in a series of online events organized by the Friends of the Chair Group on Social and Demographic Statistics, in collaboration with the United Nations Statistics Division (UNSD), is an opportunity to take stock of and review essential elements for developing and maintaining population data systems fit for current and future data demands. Indeed, countries are expected to significantly transform their data collection and processing systems, by adopting digital-first, multi-mode methods, increasing utilization of geospatial information and administrative data sources, and developing strategies to address and adapt to potential shocks and disruptions. Against this background, this sprint will discuss both current and emerging practices to enhance the quality of population statistics and will address ongoing challenges and the growing need for integrated data sources, innovative methods, and techniques to meet diverse data demands effectively.<br><br> Registration
Organizer(s): UNSD DANE Colombia PCBS State of Palestine Open Data Watch AI Generated
Description: The 2024 United Nations World Data Forum (UNWDF) serves as a vital platform for sharing experiences, innovations, and challenges in the data field, enhancing evidence-based decision-making. This webinar will delve into various aspects of the extended registration deadline and highlight key considerations for the 5th UN World Data Forum. By extending the registration period until Friday, 11 October 2024, we ensure that both local and international participants can contribute their expertise and collaborate, fostering global solutions driven by data. The main topics covered in this webinar include: An introduction from the organizers to the World Data Forum happening in Medellín between 12 and 15 November 2024, information on how to register, prepare your travel and answering your questions through the chat and during the Q&A. An overview of the programme in terms of thematic areas, topics and event formats, and covering the Forum’s purpose and planned outcomes to advance data and statistics agenda for sustainable development and foster global collaboration. How other local events will showcase the role data and statistics have played in the urban innovation and sustainable development of the city of Medellín, along with practical tips for getting around, finding hotels, and accessing taxis and weather information through data. Speakers:
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: The objective sof this course are: * To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; * To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; * To provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators; * The course will not address the following topics: ** Construction of individual indicators; ** Construction of data platforms and reporting procedures for SDGs monitoring; ** Use of indicators in statistical models.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics or who need to extend their knowledge on how to use indicators and indicator systems
Description: The African Development Bank’s Statistics Department, in collaboration with the National Institute of Statistics Rwanda (NISR), will host the Second Edition of the Innovate Africa Symposium on 2-4 October 2024 in Kigali, Rwanda. Centered on "Strengthening Data Governance in the African Data Ecosystem," the symposium will address recent significant advancements in data governance that will ultimately benefit the entire continent, highlighting the pivotal role of robust data governance frameworks in harnessing data for socio-economic growth in the digital era. Participants will include an eclectic mix of leaders from government, civil society, the private sector, academia, and international organizations who will deliberate on enhancing transparency, efficiency, and innovation through effective data governance. Symposium sessions will be both plenary and panel discussions. Parallel sessions exploring different dimensions of data governance will take place on Innovation & Strategy, Platforms & Process, and Case Studies & Technology Demos.
Description: The Committee for the Coordination of Statistical Activities (CCSA) promotes interagency coordination and cooperation on statistical programmes and consistency in statistical practices and development. As a forum of committed members it fosters good practices in statistical activities of international organisations, in accordance with the Principles Governing International Statistical Activities, and within the constraints of their own governance arrangements and resource envelopes. The members of the CCSA are committed to contribute actively to the development of a coordinated global statistical system producing and disseminating high-quality statistics, e.g. by facilitating the development and well functioning of regional and national statistical systems.
Description: The Committee of the Chief Statisticians of the United Nations System promotes coherent and integrated system-wide United Nations actions to support statistics at the national, regional and international levels, following the principles governing international statistical activities, adopted by the Committee for the Coordination of Statistical Activities in 2005, and the Fundamental Principles of Official Statistics, adopted by the General Assembly in 2015. Taking into account the comparative advantages of each member, the Committee encourages coordinated efforts by United Nations agencies and programmes in strengthening national statistical capacity through the definition of common approaches and joint interventions. The Committee supports in particular the modernization of national statistical systems and the reinforcement of their capacity to respond to new data demands for underpinning evidence-based policymaking, including the monitoring of global, regional and national development goals. Recognizing that national needs and priorities should guide the United Nations system’s efforts to support national statistical systems, the Committee supports the development and full implementation of international statistical standards in member States for the production of high-quality and internationally comparable data. The Committee promotes the coordination of the statistical programmes of the United Nations system entities with the aim of “delivering as one”, by fostering synergies, avoiding duplication and overlap, and facilitating data exchange. It promotes the adoption of common quality criteria to drive the statistical production of all agencies of the United Nations system and supports the sharing of knowledge and good practices. It also defines common United Nations positions on statistical matters, to be reported at the Statistical Commission or at other coordination bodies, such as the Committee for the Coordination of Statistical Activities.
