This paper presents an approach for estimating second-order statistics of the buckling load of structural systems subject to randomness. The proposed approach is based on sampling and it exploits the correlation existing between buckling loads calculated by means of linearized and nonlinear buckling analysis under the framework provided by control variates. Such strategy allows producing estimates of second-order statistics with improved precision. A numerical example illustrates the advantages of the proposed framework.