Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making."
National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.