IPA Multi-Beneficiary Statistical Cooperation Program 2017

Program Title: IPA Multi-Beneficiary Statistical Cooperation Program 2017

Funded by: European Union

Implementation period: 1 January 2019 - 31 December 2021

Beneficiary countries: Albania, Bosnia and Herzegovina, Macedonia, Montenegro, Serbia, Kosovo and Turkey.

Implementing Agency: GOPA Consulting Company, Eurostat

The overall objective of the program is to prepare statistical authorities in the beneficiary countries for EU membership by adapting their methodologies and practices to the acquis and integrating them into the European Statistical System. Within the overall objective, the specific objectives of the program are: (i) to improve the availability and quality of statistical data in the beneficiary countries which is essential for the development and implementation of European policies and for the preparation of beneficiaries for future EU membership. ; (ii) to improve and strengthen statistical systems in the beneficiary countries, by improving the availability, quality, comparability and timeliness of statistical data in particular in the following key areas: macroeconomic statistics, agricultural statistics, social statistics, enterprise statistics, etc. 

The IPA Multi-Beneficiary Program provides support and assistance in capacity building and institutional expertise through participation in training courses and long-term training for a period of 3-5 months in the National Institutions of the member countries and in Eurostat, participation in meetings and working groups of the European Statistical System.

One of the most important supports of the IPA MB 2017 program is to provide specific technical assistance and expertise for various pilot projects in order to improve the collection, production and dissemination of quality statistics.

Within the IPA 2017 program, the implemented activities include a large number of statistical projects such as: macroeconomic statistics (national accounts, regional and sectoral accounts, government finance statistics, PPP and HICP, macroeconomic imbalance procedures ...), social statistics (EU-SILC, VET, crime and criminal justice, gender-based violence survey ...), economic statistics (trade in goods, business register, short-term statistics, structural business statistics, research and development ...), agricultural statistics, environmental accounts and statistical fields of a more horizontal nature (quality management, metadata and data exchange, etc.) as well as some ad-hoc statistical projects.