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                   influences which are commonly identified as  mobility, population growth, proportion of
                   sources of disorganization, such as popula-  single-parent households, home ownership and
                   tion change and population turnover. Hence,  race heterogeneity of the local population.
                   that is the normal state of things. In addition,  However, of greater import was their clus-
                   we start anew with the notion that at every  ter analysis (Jobes et al., 2004). First, they
                   place, representations of both crime and law-  found that their set of 123 rural LGAs could
                   abiding behaviour are the products of varying  cluster statistically into six types or profiles,
                   forms of organization (Barclay et al., 2004).  which could be arrayed on a continuum by
                                                           population size. Second, they discovered that
                                                           population size and rates of crime showed
                                                           some relationship, but two clusters or types
                   COMMUNITY CHARACTERISTICS AND           of rural LGAs exhibited noticeably higher
                   RURAL CRIME                             crime rates, and the distinctiveness of both
                                                           clusters suggests that something other than
                   As mentioned, it was long assumed that rural  urbanism (or conversely, rurality) was at
                   communities had less crime because their  work. One was the cluster of LGAs with the
                   social structures were more homogeneous,  largest average population, that is, rural
                   cohesive and integrated than those in urban  LGAs which were service centres to their
                   places; that is, rural places manifested less  surrounding hinterland (cluster 1– ‘Urban
                   social disorganization. Recent research has  Centres’). This cluster showed above average
                   shown that rural communities are not crime  educational levels and income, but below
                   free. Rural rates may be higher in particular  average levels of married couples and higher
                   types of rural places and for specific kinds of  proportions of indigenous people and of
                   crime than urban rates (DeKeseredy and  immigrants, that is, people born overseas.
                   Joseph, 2006; Jobes et al., 2004;  Weisheit  The other cluster (cluster 5 – ‘Medium
                   and Donnermeyer, 2000), as  Vold (1941)  Declining Communities’) was the second
                   tried to make plain to an earlier generation of  smallest in average population size, but
                   criminology scholars. Simply put, rurality  showed a different set of characteristics,
                   does not imply the sociological equivalent of  including net out-migration, below average
                   immunity from crime.                    educational levels, low income, a higher than
                     At this point, it appears that social and cul-  average proportion of indigenous people, but
                   tural factors may be more important in the  only a small percentage of the population
                   explanation of crime variations in rural com-  was born in another country and immigrated
                   munities than in urban areas, where eco-  from overseas. The social structure or organ-
                   nomic conditions show greater weight (Jobes  ization of the first cluster was distinctive
                   et al., 2004, 2005; Osgood and Chambers,  based on population or demographic charac-
                   2000; Wells and Weisheit, 2004). For exam-  teristics.  The fifth cluster was unique for
                   ple, in a study of local government areas  what today would be called social capital
                   (LGAs) of rural New South Wales (LGAs are  (Recker, 2005). In comparison to the other
                   equivalent, to some degree, to counties in the  clusters, the first showed the highest or
                   USA), Jobes et al. (2004) found that various  second highest rates of crime for motor vehi-
                   economic indicators did not statistically  cle theft, malicious damage and burglary. The
                   explain variations in crime rates.  Their  fifth cluster exhibited the highest rates
                   regression analyses of official crime rates for  between all six clusters for assault and burglary.
                   assault, breaking and entering, motor vehicle  Third, each of the four crime types varied
                   theft and malicious property offences (i.e.,  across the six clusters of communities in
                   vandalism) found statistically significant rela-  somewhat different ways. In other words,
                   tionships only for certain demographic and  different kinds of rural places demonstrated
                   social characteristics, including  population  different crime profiles. Furthermore, rural
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