4.3 Potential impacts on recorded crime statistics To illustrate the impacts of these different techniques on recorded crime statistics, sample data from the CSA recorded crime dataset from April 2009 to March 2015 is presented below in the three different views: 1) data derived the ever-identified rule 2) data derived using the most recent rule 3) data derived using the most frequent rule. The ever-identified rule shows the greatest reduction in unknown values, although as previously noted, it is also susceptible to producing false positive results where data entry or recording errors in the dataset may exist. The impact of this counting rule on the recorded crime data is illustrated in Table 3. Table 3: Alleged offender counts by Aboriginal and/or Torres Strait Islander status, January to December 2015, produced using the counting rule ‘ever-identified’ 2010 2011 2012 2013 2014 2015 Proportion (%) 9.4 Aboriginal 10.0 9.9 9.9 10.3 10.7 2.5% 2.5% 1.9% 3.1%
4.3 Potential impacts on recorded crime statistics To illustrate the impacts of these different techniques on recorded crime statistics, sample data from the CSA recorded crime dataset from April 2009 to March 2015 is presented below in the three different views: 1) data derived the ever-identified rule 2) data derived using the most recent rule 3) data derived using the most frequent rule. The ever-identified rule shows the greatest reduction in unknown values, although as previously noted, it is also susceptible to producing false positive results where data entry or recording errors in the dataset may exist. The impact of this counting rule on the recorded crime data is illustrated in Table 3. Table 3: Alleged offender counts by Aboriginal and/or Torres Strait Islander status, January to December 2015, produced using the ‘ever-identified’ counting rule 2010 2011 2012 2013 2014 2015 Proportion (%) Aboriginal 9.4 2.5% 2.5% 1.9% 3.1% 10.0 9.9 9.9 10.3 10.7