Youth mobility macro data for Europe


The database MOVE-SUF presents a macro-data-compilation of the MOVE project (macro-analysis in work-package 2) which has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 649263. The consortium of MOVE comprises nine partners in six countries: Luxembourg, Germany, Hungary, Norway, Romania, and Spain. The main objective of MOVE is to provide evidence-based knowledge on mobility of young people in Europe as a prerequisite to improve mobility conditions, and to identify fostering and hindering factors of mobility. The objective was followed by using a multilevel interdisciplinary research design, combining macro- and micro analysis with three empricial approaches. The MOVE-SUF was compiled within the macro-analysis approach: “Sampling and secondary analyses of macro data of youth mobility in Europe and the partner countries” by the German Youth Institute. The MOVE-SUF served as basis for the secondary data-analyses within the MOVE project and is now published as open-access available dataset. The MOVE-SUF is set up with data from all EU-28 and 3 EFTA countries (CH, IS, NO), with a total of 31 country-cases. The MOVE-SUF covers a core period of 10 years (2004-2013). For some indicators data for 2014 can be provided additionally. For single variables data was not available for all years of the core period (the covered period for each variable can be seen in each variable name). If only yearly data for single countries was missing, the cells were left empty. The MOVE-SUF is compiled only with comparable macro data derived from the following institutions: EUROSTAT, OECD, UN and World Bank. The Users Manual includes links to the data sources which provide additional information.

Macro indicators of the 31 countries, youth mobility indicators for people from 15 up to 29 years

Quelle: EUROSTAT, OECD, UN and World Bank

Source: EUROSTAT, OECD, UN and World Bank



Metadata Access
Creator Tillmann, Frank
Publisher GESIS Data Archive
Contributor Hemming, Karen; Dettmer, Michael; Reißig, Birgit
Publication Year 2016
Rights CC BY-NC-SA 4.0; Download; Freier Zugang (mit Registrierung); Free Access (with Registration)
OpenAccess true
Contact GESIS Data Archive
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/x-spss-syntax; application/pdf
Discipline Empirical Social Research