Press release archive

23rd statistical mission of the Statistics Korea to the trang cá cược

The 23rd statistical mission from Republic of Korea headed by Mr. Eun Sun Hyun, Director General for Statistical Data Hub Bureau, Statistics Korea (KOSTAT), visited and worked with the trang cá cược (GSO) from April 22 to 27, 2019.

Date of issue: 23/04/2019

General Statistics Office to work with the International Monetary Fund (IMF) on gross domestic product (GDP) revision

In the morning, April 8, 2019, the General Statistics Office had a courtesy reception for the expert delegation from the IMF coming to help the Government of Vietnam as well as the GSO to review the method of re-assessing GDP scale for 5 days from April 8 to 12, 2019.

Date of issue: 08/04/2019

Expert delegation from IMF to assist General Statistics Office in improving the General Data Dissemination System, strengthening and complying with the Special Data Dissemination Standard

From April 1 to 5, 2019, Technical Support Team from the International Monetary Fund (IMF) headed by Mr. Serkan Arslanalp - Deputy Division Chief of Strategy, Standards, and Review Division of IMF’s Statistics Department and Mrs. Deepti Devi Vidyala - Information Management Officer of IMF’s Statistics Department visited and worked with the GSO.

Date of issue: 05/04/2019

Press release social and economic situations in the first quarter 2019

Viet Nam’s economy and society in the first months of 2019 took place in the context of the slowdown trend in world economy with increasing

Date of issue: 29/03/2019Reference period: 03/2019Next release: 28/06/2019

Press release: Launching Workshop of the Set of Sustainable Development Statistical Indicators of Vietnam

As leaving no one behind is the ultimate goal of the SDGs, this is a strong reminder for us to ensure that all efforts should be made to address the inequities in the society. It is therefore very important that data and statistics is fully understood and appreciated by all stakeholders. Improved quality of statistics and disaggregated data (by age, sex, rural/urban, province/city and other characteristics) will lead to more effective decision-making and better development policies

Date of issue: 19/03/2019