The President of the NSI Assoc. Prof. Atanas Atanasov, PhD and Mrs. Maria Gochova – Acting Head of the International Relations and Projects Department, participated in the 56th meeting of the European Statistical System Committee (ESSC), which was held in Luxembourg.
The participants in the ESSC considered and discussed significant topics in the field of European statistics such as 2025 Work Programme on Development, Production and Dissemination of European Statistics, the role of the ESS in implementing the European Strategy for Data, the Compendium on innovative practices and Repository of information about the national statistical systems of the ESS members, potential improvements to existing practices and procedures within the ESSC, the plans and preparation for the next DGINS Conference in October 2024 in Estonia and etc.
The Committee voted on 7 Draft Implementing Regulations of the European Commission in the field of agriculture, environment, quality reports, regional statistics, HICP and Purchasing Power Parities. It was also voted to grant derogations to certain member states regarding the transmission of statistical data relating to agricultural input and output.
In addition, the participants were introduced to the report of the Belgian Presidency of the Council of the EU and were informed about the plans of the upcoming Hungarian Presidency, which starts on 1 July 2024. Planned initiatives by Eurostat to mark this year’s European Statistics Day were also regarded.
The ESSC provides professional guidance to the European Statistical System for the development, production and dissemination of European statistics in accordance with statistical principles. The Committee assists Eurostat in matters related to the coordination and priorities of the European Statistical Programme, the further development of the European Statistics Code of Practice, lowering the burden on respondents, statistical confidentiality. It gives opinions and guidance regarding methodology on issues arising from the creation and implementation of statistical programs.
