To determine the main functions of regional forest and focus of forestry construction to form the regional forestry economy with characteristics and ecological service system pattern with obvious advantages,we select some indicators on Ceheng County in Guizhou Province, such as natural geography,socio-economic conditions,ecological environment and forests status. Using the quantitative classification method combining factor analysis and system clustering,we conduct quantitative county level forestry division. The results show that first using factor analysis to establish factor analysis model,and then using a handful of factors loading large amounts of information to carry out system clustering,is an effective quantitative classification method of forestry division,which can not only overcome the weakness of previous division mainly focusing on qualitative analysis,but also eliminate the correlation between indicators in the conventional classification methods; through the factor analysis of 30 indicators influencing the forestry development of each township in Ceheng County,the factor analysis model is established,6 factors loading 89. 94 5% of information amount are used to conduct system clustering on 14 townships in Ceheng County,and finally Ceheng County can be divided into five zones. This study not only enriches the theory of forestry division,but also provides reference for the forestry planning in Guizhou and division of related industries. To determine the main functions of regional forest and focus of forestry construction to form the regional forestry economy with characteristics and ecological service system pattern with advantage advantages, we select some indicators on Ceheng County in Guizhou Province, such as natural geography, socio-economic conditions , the ecological environment and forests status. Using the quantitative classification method combining factor analysis and system clustering, we conduct quantitative county level forestry division. The results show that first using factor analysis to establish factor analysis model, and then using a handful of factors loading large amounts of information to carry out system clustering, is an effective quantitative classification method of forestry division, which can not only overcome the weakness of previous division mainly focusing on qualitative analysis, but also eliminate the correlation between indicators in the conventional classification methods; through the factor analy sis of 30 indicators influencing the forestry development of each township in Ceheng County, the factor analysis model is established, 6 factors loading 89. 94 5% of information amount are used to conduct system clustering on 14 townships in Ceheng County, and finally Ceheng County This study not only enriches the theory of forestry division, but also provides reference for the forestry planning in Guizhou and division of related industries.