Previous studies show that migration and fertility may be strongly connected and that the migration history and duration of stay should be included in the analysis of reproductive behavior of foreign women.

Socio-economic disadvantaged students are not equally vulnerable: some of them are defined as ‘resilient’ students because they are able to ‘beat the odds’ and achieve positive academic outcomes. Using data from the last two editions (2015 and 2018) of OECD-Programme for International Students Assessment, we aim to analyse the academic resilience (i.e. the 25% most socio-economically disadvantaged students who achieve an adequate level of proficiency in reading, science, and math) of native and immigrant-origin students. We focus attention on the comparison between resilient students in three Southern European countries (namely Greece, Italy, and Spain) that have only recently become destinations of migratory flows, and those in four North-western European countries (namely France, Germany, the Netherlands, and the United Kingdom) characterised by consolidated migratory traditions. Empirical findings show that self-efficacy beliefs, positive home environment, and language attitudes at home promote good academic adjustments among immigrant-origin students. Furthermore, the ‘double origin gap’ (socio-economic and migratory) of students makes them more dependent on the school environment and climate than their native peers. Specific strategies at school may be further developed (such as improving extra-curricular activities) in Southern countries to promote the inclusion of migrants and reduce their vulnerability.

Immigration flows and social inequalities reflect increased social and multi‐ethnic segregation in contemporary urban Europe. For a better understanding of these processes, the present study investigates the main strengths of the multi‐group residential indices, testing sensitivity and reliability under different metropolitan contexts in five European countries. These indices focus on different research dimensions and approach multi‐group residential segregation conceptually and mathematically in a different way. A multivariate exploratory data analysis was adopted to classify the observed segregation patterns into a few homogeneous types and to delineate the multivariate relationship between the indices. The results of principal component analysis demonstrate that the indices assessing uniformity and disproportionality of the social groups analysed (H and D) contribute largely to the diversification in today's multi‐ethnic communities, clarifying the importance of the dimension of evenness. Our results highlight how segregation is more evident in economically disadvantaged metropolitan regions with high levels of social vulnerability.

Internal migration has a strong impact on population redistribution, and plays a significant role in social cohesion. In Italy, the foreign population is a mosaic made up of minorities with different demographic characteristics. The aim of this study is to unveil, by means of a gravity model and using data from the Italian population register from 2014 to 2017, significant differences between national and foreign citizens’ inter‐provincial migration patterns. Some migrants, such as the Ukrainian citizens, follow a process of spatial assimilation while others, as in the case of Chinese citizens, respond to the call of migration networks. The role played by the distance of the inter‐provincial migration in making these moves is also different, and varies from citizenship to citizenship: Indians and Albanians are more willing to travel longer distances; conversely, Romanians and Ukrainians frequently opt for shorter moves.