This paper examines the heterogeneity of credit dollarization at people level in Peru. Credit dollarization is characterized by a unique database resulting from the merge between administrative records of credits and the National Household Survey. This database allows the identification of the amount of credit as well as the features of each credit and the individual level. The paper finds that dollarization is heterogeneous according to debtor features; it is higher among high-income, old and more educated people. At the regional level, Lima has the highest dollarization ratios.