Abstract: Using cluster analysis and principal component analysis, 18 cities in Henan province were divided into 3 agricultural economic development categories according to 9 indicators, namely, leading agricultural economic development area, middle agricultural economic development area and relatively backward agricultural economic development area. The main indicator data of each category is analyzed, and the results show that there are large differences among regions. Three principal components that affect the level of agricultural economic development are selected, and the weights of various indicators are calculated to obtain the comprehensive scoring model for agricultural economic development. Finally, decisions and suggestions for various areas of agricultural economic development are targeted to promote Henan provide reference for the development of agricultural economy.

Key words: cluster analysis, principal component analysis, agricultural economy, Henan province