Al-Nabit to attend 48th UN Statistical Commission in New York from tomorrow

Qatar is expected to upgrade its statistical process by next April as part of the United Nations (UN) Transformative Agenda for official statistics to support the sustainable development process.In this regard, a Qatari delegation led by HE Dr Saleh Mohamed Salem al-Nabit, Minister of Development Planning and Statistics, will participate at the 48th UN Statistical Commission to be held from tomorrow in New York.On the sidelines of the meet, al-Nabit is scheduled to meet several heads of regional and international statistical agencies and consult with them on the latest updates on upgrading the statistical process, as well as exchange experiences and share successful lessons.He will also meet the director of the UN Statistics Division and the director of the UN Transformative Agenda for official statistics to consult and agree on the start date of the implementation of the project of official statistics transformation in Qatar, which is expected to be launched by next April.This project is based on the request of the UN to Qatar to join the project of Transformative Agenda for Official Statistics, being a leading state in this field.By attending the session, Qatar aims to learn about the latest developments related to the sustainable development agenda and the indicators approved by the UN Statistical Commission to measure the countries progress towards achieving the economic, social and environmental goals of the agenda.The Qatari delegation to the meeting would discuss the proposed mechanisms to upgrade the national statistical systems and methodologies, to articulate effective statistical policies that take into consideration the national and international needs of the sustainable development process, and to benefit from the technical support provided by the UN and its organisations.The 48th session agenda covers several important topics related to the role of statistical data in the sustainable development process, the development of statistical data methodologies and sources, and methods of dissemination and access to users in a timely manner.