  We analyze the statistical properties of bubble models for the large-scale
distribution of galaxies. To this aim, we realize static simulations, in which
galaxies are mostly randomly arranged in the regions surrounding bubbles. As a
first test, we realize simulations of the Lick map, by suitably projecting the
three-dimensional simulations. In this way, we are able to safely compare the
angular correlation function implied by a bubbly geometry to that of the APM
sample. We find that several bubble models provide an adequate amount of
large-scale correlation, which nicely fits that of APM galaxies. Further, we
apply the statistics of the count-in-cell moments to the three-dimensional
distribution and compare them with available observational data on variance,
skewness and kurtosis. Based on our purely geometrical constructions, we find
that a well defined hierarchical scaling of higher order moments up to scales
$\sim 70\hm$. The overall emerging picture is that the bubbly geometry is well
suited to reproduce several aspects of large-scale clustering.
