The effective governance of labour mobility relies heavily on timely and accurate data on high-demand occupations and productivity trends in both origin and destination countries. However, many EU partner countries face significant challenges in collecting and disseminating comprehensive information on labour market demand. This knowledge gap hinders evidence-based policy making in the domain of skills development, labour mobility, and migration. This paper presents JRC’s efforts in analysing current and expected labour dynamics in Nigeria and Senegal, two candidate countries for Talent Partnerships, by using traditional data sources. Namely, the Labour Force Surveys of both Nigeria and Senegal were used to access recent statistics on labour market indicators, and complemented with data from the International Labour Organisation as well as information from qualitative sources such as reports. After describing the methodology utilised to identify occupations suitable for labour mobility schemes, and showing how international classifications can be used to move from the identification of occupations to the definition of the needed skill set, the paper presents the main lessons learnt from the use of national data sources, and some implications for policy and further research.

MAJORANO SARAPO Francesca;  DI SALVO Mattia; 

2026-06-15

Publications Office of the European Union

JRC144144

978-92-9157-760-6 (online),   

https://www.etf.europa.eu/en/publications-and-resources/publications/skills-fair-efficient-labour-migration,    https://publications.jrc.ec.europa.eu/repository/handle/JRC144144,   

10.2816/672487 (online),