  In the analysis of poverty and social exclusion, indicators of living
conditions are some interesting non-monetary complements to the usual
measurements in terms of current or annual income. Living conditions depend in
fact on longer term factors than income, and provide further information on
households' actual resources that allow to compare more accurately between
living standards. But in counterpart, a difficulty comes from the qualitative
nature of the information, and the large number of dimensions and items that
may be taken into account; in other words, living conditions are difficult to
"measure". A consequence is that very often, the information is either used
only partly, or reduced into a global score of (bad) living conditions, that
results from counting "negative" items, and the qualitative dimension is lost.
In this paper, we propose to use the Kohonen algorithm first to describe how
the elements of living conditions are combined, and secondly to classify
households according to their living conditions. The main interest of a
classification is to make appear not only quantitative differences in the
"levels" of living conditions, but also qualitative differences within similar
"levels".
