Animal production is valuable importance for the human being and countries in terms of both economic and human nutrition. To increase the value of benefits from the livestock sector, there are many attempt to make policies.In this study, 26 different agricultural areas of Turkey according to their agricultural properties were clustered by using mammalian livestock existence such as cattle, water buffalo, sheep, goat and horse. For this aim 3-D clustering was applied with using R software with FactoMineR and factoextra packages. The results showed that the number of 26 agricultural areas were clustered in four clusters. TR83 area including Samsun, Tokat, Çorum and Amasya cities was formed in a cluster lonely. The second cluster included agricultural areas of TRA2, TRC2 and TRB2 that these areas consist of the cities Ağrı, Kars, Iğdır, Ardahan, Şanlıurfa, Diyarbakır, Van, Muş, Bitlis and Hakkari. TRC3, TR62 and TR61 agricultural areas formed the third cluster including the cities of Mardin, Batman, Şırnak, Siirt, Adana, Mersin, Antalya, Isparta and Burdur. The other agricultural areas were included in the fourth cluster. This results also important for traders' financial and human capital and trading practices such as use of brokers and regular suppliers and customers had varying effects on margins and costs of animal trade. It is also amenable to public policy to improve the market environment and marketing efficiency.