Page 122 [122]
OCR
JAN VAN DIJK Table 3 Homicides per 100.000 inhabitants and scores on the index for organised crime/corruption and estimated linear changes over time" Homicide ( per 100.000 inh.) Organised Crime (Scale: 0-100) Prevalence Change] N. of Prevalence Change| N. of 2006- | 2011- | 2015- | 2006- | 2006- | coun- | 2007- | 2011- | 2015- | 2007- | 2007- | coun2010 | 2014 | 2017 | 2017 | 2017 | tries | 2010 | 2014 | 2017 | 2017 | 2017 | tries Region Rate Rate Rate Rate %p. N. 0-100 | 0-100 | 0-100 | 0-100 %p. N. Europe 2 2 2 2 -1,1 40 46 48 47 47 1,1 40 Northern 3 2 2 2 -1,2 10 28 29 28 28 0,5 10 Europe Western 1 1 1 1 -0,3 7 26 27 29 27 3,6 7 Europe Eastern 4 3 3 3 -2,0 10 65 64 63 64 -2,4 10 Europe Southern 2 2 1 2 -0,7 13 58 60 61 60 3,0 13 Europe Table 3 shows that homicide rates are higher in Northern and Eastern Europe. This distribution does not mirror the one of victimisation by assaults/muggings presented in table 1. The trends show the largest decreases in just these two regions, indicating once again convergence over time. The results on organised crime/corruption present a strikingly different picture. The level of organised crime/corruption is twice as high in Eastern and Southern Europe than in the two other regions. The estimated linear change shows an increase of 1 percentage point. This type of crime does not follow the general downward trends of common crime reflected in tables 1 and 2. Only in Eastern Europe a slight decrease has been measured. The variation in change over time does not point at convergence between the North West and the South East parts of Europe. Finally, we have put together an overview of the results on the three types of crime investigated, common crime, homicides and organised crime for the world (159 countries) and for Europe (40 countries) and its four regions separately. 4 Van Dijk et al., Global crime pattern. + 120
