The studies that have analyzed the socioeconomic inequalities between Argentinean provinces do not usually take into account provincial differences in terms of knowledge, innovation and learning. In parallel, much of the literature about regional innovation systems has focused on the construction of empirical typologies that allow to account for these differences, but exercises of this nature have not been applied in Argentina until now. Through a combination of multivariate techniques (principal component analysis and cluster analysis) we aim to provide a first contribution in these research gaps.