  We show that the continuous part of the density of real eigenvalues of large
real asymmetric random matrices is proportional to the square root of the
asymptotic density of complex eigenvalues evaluated at the real line. This
relation allows one to calculate the real densities up to a normalization
constant, which is then applied to various examples, including heavy-tailed
ensembles and adjacency matrices of sparse random regular graphs.
