This book presents a new method for measuring multidimensional poverty. The author critically analyzes various statistical approaches, and proposes a new way of applying a factorial technique, Multiple Correspondence Analysis, to poverty analysis. The core of this new approach rests on the identification of poverty types and on the construction of a Composite Indicator of Poverty, which objectively weights the multiple categories of poverty. Built as a two-step approach, Multiple Correspondence Analysis allows for the integration of unidimensional money-metric techniques. The author reflects o.