In the last few decades, the foreign resident population in Italy has grown considerably, showing a tendency towards a stable settlement. The spatial distribution of this population is an important key to better understanding the integration process in the host society. This paper aims to explore the diachronic evolution of the settlement models of the foreign population and the main ethnic groups usually classified as residents in Italy in the period 2003–2021. Towards this aim, we computed statistical global indices referring to evenness, concentration, and clustering dimension of residential segregation and ad hoc indices that regard territorial dimensions. One of the major novelties of the contribution lies in the attempt to compute these indices not only in reference to the major population group—i.e., the Italians—but also between foreign communities and considering the gender structure. The indices are then synthesised by a multivariate analysis (principal component analysis and cluster analysis). The results of this study show that (a) higher differences in terms of settlement models are found by comparing different minority groups rather than by comparing minorities to Italians; (b) the settlement models of each foreign citizenship remain almost stable over time despite their growth in both absolute and relative terms.

The advanced path of integration of migrants in Italy makes it increasingly difficult to measure family behaviours by type of couple. The aim of the following work is to analyse marriages with at least a spouse with migratory background by studying the type of couple in a "dynamic" way (considering the citizenship both at the time of birth and at the time of marriage). The data are from the Italian National Institute of Statistics (ISTAT) Survey on marriages, celebrated in Italy, validated also by using the integration with ISTAT estimates of citizenship acquisitions. Through descriptive analysis we compared the profiles of foreign citizens, new Italians and Italians by birth distinguished by gender. A particular focus is on the combination of the socio-demographic characteristics of the couple (e. g. age gap). Age assortative mating patterns show clear differences by gender and citizenship. For intermarriages where the groom is Italian by birth, we observe the highest age gap (9 years, over 4 years more compared to the total of marriages); when the groom is a new Italian, on the contrary, the age gap drops to 6.2 years.