"This study finds its interest and credit in conceiving poverty from a multidimensional perspective. The purpose of the study is twofold: to address the issue of assigning arbitrary weights to poverty variables in the measurement of multidimensional poverty and to conduct multidimensional poverty comparisons to the particular question of spatial poverty in Cameroon. By using stochastic dominance methods the authors endeavour to make poverty comparisons that are robust to a wide range of poverty lines and also valid for a broad class of poverty measures. In the multidimensional context, this includes robustness over the manner in which multiple indicators interact to generate overall household wellbeing. The main objective of the study is to measure and conduct multi-dimensional poverty comparisons in Cameroon."