We construct comparable measures of intergenerational mobility (IM) for 103 Italian provinces using the methodology of G€ uell et al. (2007, 2015a) and explore their correlation with a variety of social and economic outcomes. We find that higher IM is positively associated with economic activity, education and social capital and negatively correlated with inequality. Moreover, there is no clear pattern of correlation with other socio-political variables. These results are qualitatively similar to Chetty et al. (2014), with the important difference that Italy is a highly centralised state where institutions and policies are 'de jure' the same in all provinces. This suggests that something beyond institutional and policy differences also shapes intergenerational mobility. for superb research assistance. We thank Giacomo Giusti of the Istituto Guglielmo Tagliacarne for providing us with the province-level data on value added in 1981. We are also very grateful to Daniele Checchi, Carlo Fiorio and Marco Leonardi for sharing their program files to generate the traditional measures of mobility using the Bank of Italy SHIW data. We benefited from the very useful comments from two anonymous referees and the Editor, and seminar participants at F355 7 Results do not depend on the number of replications. 8 G€ uell et al. (2007, 2015a) provide a model that maps the ICS into the traditional measure of IM based on father-son regressions and show that the former is monotonically increasing in the latter. F357 9 The exact number and boundaries of the provinces have changed a few times over the recent decades. We use the definition of provinces as of 2004, which is the reference year of our tax data, although the current (2016) definitions are slightly different.