Abstract The Monte Carlo code IDEAL-2 described in Part I [(1989) J. Aerosol Sci. 21, 666–674] has been used for the computation of total, regional and differential particle deposition in a stochastic lung structure. The results of these simulations are compared to experimental data and to other theoretical predictions based on deterministic lung models, demonstrating the applicability of our stochastic modeling approach. Compared to more simplistic deterministic models, this stochastic deposition model can supply additional information on the differential distribution throughout the lung and on the variability of the deposition within a given lung segment. A subsequent sensitivity analysis studies the effect of the parameters mainly affecting the resulting deposition pattern.