Spontaneous fermentation dry red wines of Cabernet sauvignon collected from five sub-producing areas (Yinchuan, Qingtongxia, Hongsibao, Shizuishan and Nongken) in the eastern foothills of Helan Mountain of Ningxia were selected as the materials. The basic physical and chemical indicators and electrical properties were measured, the differences of electrical properties among different producing regions were analyzed, and the characteristic frequency and effective electrical parameters to identify wines from different producing regions were screened. The aim was to explore the ability to identify wines from different sub-production areas in the eastern foothills of Helan Mountain in Ningxia based on electrical characteristics, in order to provide a method for simple, fast and effective identification of wine production regions. The results showed that there were significant differences in the physiochemical indicators of wines among the five sub-regions of Helan Mountain in Ningxia. Wine from Nongken region had the highest titratable acid content and the lowest reducing sugar content. The wine from Yinchuan had the lowest volatile acid sugar content, while the wine from Shizuishan had the highest alcohol content. Through correlation analysis, analysis of variance and multiple comparisons, the characteristic frequency of 0.1kHz and the effective electrical parameters Z, Lp, X, Cp and Q were selected to distinguish wines from different regions at 2V. The results of principal component analysis and discriminant analysis showed that the five sub-production regions of the eastern foothills of Helan Mountains could be clearly distinguished by the electrical parameters of wine. The prediction model established by Fisher-LDS had the correct rates of return test and cross validation of 100%. Therefore, it was feasible to identify wine producing region by wine electrical characteristics.