This paper considers the joint estimation of population totals for different variables of interest in multi-purpose surveys using stratified sampling designs. When the finite population has a hierarchical structure, different methods of unbiased estimation are proposed. Based on Monte Carlo simulations, it is concluded that the proposed approach is better, in terms of relative efficiency, than other suitable methods such as the generalized weight share method.