Soil salinization is one of primary environmental problems, which faces the sustainable development in Liaohe River Delta. On the base of field survey and GPS location and soil analysis, soil salinization levels and distribution are investigated. In general, except salterns and tidal flats and bare lands between reed wetlands, soil salinizaiton level belongs to light salinization with sulfate type and chloride-sulfate type in Liaohe River Delta. The different land use type has the different influences on soil salinizaiton, paddy lands is slightly salinized. It is a good measure to plant paddy rice for improving sal-taffected soils. Although reed lands is only moderately salinized, bare lands between reed wetlands is strongly salinized. The reason is maybe because of local relief, but the irrigated water needs our more attentions. There are many scholars who used multivariable statistical analysis methods to evaluate soil salinizaiton status. Principal component analysis (PCA) is one better method used. But PCA can only be used to analyze the relationships among variables, not evaluate the relationships among variables and samples. As a result, physical meanings of principal component variables aren't distinct. Correspondence analysis (CA) overcomes this demerit. It can analyze variables (salt components) and soil samples in the common principal component space. Therefore CA method is used to deal with the sample data of Liaohe River Delta. As a result, the samples with different soil salinization level are classified clearly.