  This paper is devoted to the problem of statistical mechanics raised by the
analysis of an issue of sociological interest: the teen birth phenomenon. It is
expected that these data are characterized by correlated fluctuations,
reflecting the cooperative properties of the process. However, the assessment
of the anomalous scaling generated by these correlations is made difficult, and
ambiguous as well, by the non-stationary nature of the data that show a clear
dependence on seasonal periodicity (periodic component) and an average changing
slowly in time (slow component), as well. We use the detrending techniques
described in the companion paper \cite{paper1}, to safely remove all the biases
and to derive the genuine scaling of the teen birth phenomenon.
