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Republic of Sao Tomé and Principe implements General Data Dissemination System

The Republic of Sao Tomé and Principe has implemented the recommendations of the IMF’s Enhanced General Data Dissemination System (e-GDDS) by publishing critical data through the National Summary Data Page (NSDP). The page aims to serve as a one-stop publication vehicle for essential macroeconomic data on the national accounts, government operations and debt, monetary and financial sector, and balance of payments.

The data will be disseminated in both human and machine-readable formats. Established by the IMF’s Executive Board in May 2015 in a bid to support improved data transparency, encourage statistical development, and help create synergies between data dissemination and surveillance.
The NSDP is hosted by Sao Tomé and Principe’s Ministry of Planning, Finance, and the Blue Economy utilizing the Statistical Data and Metadata Exchange, and is accessible on the IMF’s Dissemination Standards Bulletin Board, at https://dsbb.imf.org/Pages/GDDS/CtyCtgList.aspx?ctycode=STP.

The NSDP page contains links to statistics published by official data producers, namely the Ministry of Planning, Finance, and the Blue Economy, the National Institute of Statistics, and the Central Bank of Sao Tomé and Principe.

Publication of essential macroeconomic data through the NSDP will provide national policymakers and domestic and international stakeholders, including investors and rating agencies, with easy access to information that the IMF’s Executive Board has identified as critical for monitoring economic conditions and policies. Making this information easily accessible in both human and machine-readable formats will allow all users to have simultaneous access to timely data and will bring greater data transparency.

Louis Marc Ducharme, Chief Statistician and Data Officer, and Director of the IMF’s Statistics Department welcomed this major milestone in the country’s statistical development. “I am confident that Sao Tomé and Principe will benefit from using the e-GDDS as a framework for further development of its statistical system.”

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