Partitioning is an interesting approach to protecting statistical databases. It is highly secure and can, among other things, take into account the dynamics of a statistical database. This paper shows that partitioning often will either result in high information loss or in a serious distortion of important statistical functions. In order to make partitioning practical, these difficulties must be overcome.