  The Ministry of Social Development in Mexico is in charge of creating and
assigning social programmes targeting specific needs in the population for the
improvement of quality of life. To better target the social programmes, the
Ministry is aimed to find clusters of households with the same needs based on
demographic characteristics as well as poverty conditions of the household.
Available data consists of continuous, ordinal, and nominal variables and the
observations are not iid but come from a survey sample based on a complex
design. We propose a Bayesian nonparametric mixture model that jointly models
this mixed scale data and accommodates for the different sampling
probabilities. The performance of the model is assessed via simulated data. A
full analysis of socio-economic conditions in households in the State of Mexico
is presented.
