Abstract
The article proposes, tests and discusses a variant of calculating indices that characterize the dynamics of trend (leveled) indicators, which are the product of other quantities (factors).The calculation scheme makes it possible to detail the additive and multiplicative effects of the influence of various factors that form trends in generalizing statistical indicators, and to decompose the latter into separate components (sub-indices). The developed technologies were tested on data on sown areas, productivity and gross harvest of grain crops in a number of regions of the Republic of Kazakhstan. State statistics data were used as an information base.