Promoting convergence between regions is essential to ensure that both thewealthiest and poorest regions achieve comparable levels of developmentover time. With this objective in mind, the objectives of the research were todetermine the existence of global convergence or convergence clubs amongthe regions in Peru, as well as to identify the factors influencing such convergence. To identify convergence clubs, the study utilized the load factor methodology introduced by Phillips and Sul (2007) and analyzed panel data fromthe 2004-2008 period. The results reveal the presence of three convergenceclubs based on GDP per capita and labor productivity. Additionally, the composition of the clubs in terms of GDP per capita and labor productivity dependdirectly on human capital, royalty transfers, and spatial location. These findings suggest that the State should prioritize regions belonging to the poorerconvergence clubs.