  A balanced sampling design should always be the adopted strategies if
auxiliary information is available. Besides, integrating a stratified structure
of the population in the sampling process can considerably reduce the variance
of the estimators. We propose here a new method to handle the selection of a
balanced sample in a highly stratified population. The method improves
substantially the commonly used sampling design and reduces the time-consuming
problem that could arise if inclusion probabilities within strata do not sum to
an integer.
