Abstract
This paper considers the construction of bootstrap confidence intervals for estimating finite population quantiles. The intervals involve estimators which make use of the auxiliary information provided by an available auxiliary variable. The proposed bootstrap confidence intervals are validated under theoretical (asymptotic) and empirical points of view, indeed simulations with natural populations are carried out in order to compare the behavior of the proposed intervals with the obtained from standard normal approximations.