Lodging is the main problem affecting the common buckwheat production and quality in central Gansu. In this study, 76 common buckwheat germplasm resources from domestic and abroad were used as the test materials. Genetic diversity of 23 phenotypic traits associating to lodging resistance was calculated based on the Shannon-Wiener information diversity index. The lodging resistance of common buckwheat germplasms were comprehensively evaluated using the correlation analysis, principal component analysis, regression analysis，cluster analysis and stepwise discriminate analysis. 76 common buckwheat germplasm materials exhibited high genetic diversity. The diversity index distribution of different traits ranged from 2.349 to 4.331, with the diversity index of number of main stem branches being the smallest and that of the second inter-node length being the largest. The results of the correlation analysis showed that 23 characters existed in varying degrees of correlation. The results of the principal component analysis showed that the first five principal components explained 81.421% of information quantity of 23 phenotypic traits. D value of common buckwheat germplasm materials was calculated using the membership function method. The average D value was found to be 0.469, with Yuntianqiao 1 having the lowest D value (0.200) and TQ10-07 having the highest D value (0.819). Through stepwise regression, a regression equation was established with 8 traits (plant height, stem height of center gravity, the first inter-node length and wall thickness, the second inter-node length, number of main stem branches, bending degree and stem resistance) as independent variables. The equation could be used for a comprehensive evaluation of the Lodging Resistance of common buckwheat germplasm materials. Based on D value clustering, 76 materials were divided into four groups. The result of stepwise discriminant analysis showed that 5 germplasm materials were incorrectly discriminated and the identification rate was only 6.58%，which means that the result of cluster analysis is accurate and reliable. 3 materials in classⅠexhibited high lodging resistance and high D value, which could be used as parent materials for material innovation and breeding. This study shows that using multivariate statistical analysis is a feasible approach to comprehensively evaluate lodging resistance of common buckwheat germplasm, which become valuable in selection of elite germplasm resources in breeding for the lodging resistance hybrids in central Gansu.