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The 40th meeting of HLG-PCCB continues its second day of sessions in Riyadh

11-11-2025

The United Nations High-Level Group for Partnership, Coordination and Capacity-Building for Statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB) continued the second day of its 40th meeting at the headquarters of the General Authority for Statistics (GASTAT) in Riyadh. The meeting brings together heads of national statistical offices and representatives of regional and international statistical organizations that are members of the Group.
The discussions focus on ways to enhance integration among international statistical systems, strengthen national capacities to produce accurate and reliable data, and explore prospects for using innovative statistical data to support decision-making and achieve the Sustainable Development Goals.
In a related event, GASTAT organized a panel discussion titled “Utilizing Advanced Technologies and Methodologies to Enhance Statistical Organizations and Enable Sustainable Development.” The session was held in conjunction with the aforementioned meeting as part of the “Road to Riyadh” program. It featured the participation of GASTAT’s President, Fahad Aldossari, Atanas Atanasov, President of the National Statistical Institute of Bulgaria- Benjamin Rothen, Ambassador and Head of the International and National Affairs Unit at the Federal Statistical Office- Ola Awad, President of the Palestinian Central Bureau of Statistics- Jianhong Ruan, Deputy Commissioner at the National Bureau of Statistics of China- Tang Hsio Chin, Director of Policy and Planning at the Department of Statistics in Singapore- and Johannes Jütting, Executive Head of the PARIS21 Initiative.
In his opening remarks, GASTAT’s President highlighted Saudi Arabia’s upcoming hosting of the Sixth United Nations World Data Forum in November 2026.  He outlined the ongoing preparations through the launch of the “Road to Riyadh” program, a year-long initiative that includes a series of workshops and panel discussions at the local, regional, and international levels.
 
During the discussion, speakers explored the pivotal role of national statistical offices in advancing data methodologies and leveraging modern technologies to enhance the quality of statistics and support evidence-based decision-making.
Speakers highlighted that the rapid advancement of emerging technologies is contributing to the development of integrated digital data ecosystems capable of delivering timely and reliable indicators that support decision-making within national statistical systems. They emphasized the importance of fostering sustainable international cooperation among statistical organizations and building strategic partnerships that advance the implementation of the 2030 Sustainable Development Goals. Such collaboration, they noted, enhances the production of accurate and trustworthy data, accelerates data delivery, improves quality and coverage, and promotes resource efficiency by reducing reliance on traditional survey methods.
They also stressed that strengthening the readiness of national statistical offices requires continued progress in developing clear regulatory frameworks for data governance, expanding the use of secure cloud-based solutions, and linking administrative records across key sectors such as health and labor markets. Additionally, adopting predictive analytics methodologies and producing synthetic data can help broaden data utilization while ensuring privacy and security, thereby driving tangible progress toward achieving the Sustainable Development Goals by 2030.
It is noteworthy that GASTAT continues its preparations to host the Sixth United Nations World Data Forum in November 2026 through a series of initiatives organized under the “Road to Riyadh” program. The program aims to highlight Saudi Arabia’s statistical, developmental, and economic advancements, achieved through the application of international statistical standards and principles that have contributed to the Kingdom’s notable progress across multiple global statistical indicators.
 

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