International Journal on Criminology Volume 3, Number 2, Fall 2015

Burglaries in France Figure 3: Characteristics of households’ neighborhoods �� Source: “Cadre de Vie et Sécurité” survey 2007-2014, Insee-ONDRP The third MCA was carried out on factors relating to households’ neighborhoods. The two axes identified by the procedure present, in the vertical dimension, a distinction between downtown areas at the top, periurban and rural areas in the middle, and suburbs in the lower part. The horizontal dimension presents a distinction by urban area size and density (type of residential environment). Accordingly, in the top right we find households located in densely populated and central urban areas; in the lowerright part there are households located in outlying urban areas; and in the left side of the graph there are sparsely populated rural or periurban areas. The results produced by the MCA bring to light the links that exist between the different characteristics according to large groups of factors and thus make it possible to identify large groups of households for each of the types of factors used. This approach provides a graphical representation that is useful as a means of visualizing these groups. Nevertheless, an exclusively graphical approach may appear arbitrary and lacking in justification with regard to establishing relevant groups. This study also adopts a second, numerical approach, which aims to create a typology of households based on their statistical “likeness.” The results of the classification presented below were obtained using the same data as was used for the MCAs. As a result, they can be interpreted in a complementary fashion. The types identified can be illustrated by the graphic results presented previously while also providing these with a statistical justification. Indeed, the 96

International Journal on Criminology Volume 3, Number 2, Fall 2015 | Page 101