The measurement of multidimensional poverty by the private sector is still in its infancy at a global level. This study measures multidimensional poverty and explores its drivers among the workers of Danper, a world-leading Peruvian agroindustrial company, and their households. 

The results show that approximately 28% of Danper employee households live in conditions of multidimensional poverty, a lower figure than calculated by similar studies in Peru. Education, household size and age are the three key determinants that help explain the poverty incidence levels identified.  Younger workers with higher educational levels and smaller households show lower poverty levels. 

These results show how a private sector actor, such as Danper, can measure the state of welfare deprivation of its workers and, consequently, take actions that contribute to poverty reduction and inclusive development, playing an active role in the solution of social challenges at a national and even global level. (Only available in Spanish)