<data>
<row _id="1"><Offence>Dacoity</Offence><Reported>2</Reported><Detected>2</Detected><% age of detection>1</% age of detection><No. of accused involved>15</No. of accused involved><No. of accused arrested.>4</No. of accused arrested.></row>
<row _id="2"><Offence>Robbery</Offence><Reported>47</Reported><Detected>46</Detected><% age of detection>0.97</% age of detection><No. of accused involved>143</No. of accused involved><No. of accused arrested.>35</No. of accused arrested.></row>
<row _id="3"><Offence>Burglary</Offence><Reported>47</Reported><Detected>44</Detected><% age of detection>0.9361</% age of detection><No. of accused involved>103</No. of accused involved><No. of accused arrested.>49</No. of accused arrested.></row>
<row _id="4"><Offence>Auto Theft</Offence><Reported>149</Reported><Detected>147</Detected><% age of detection>0.9865</% age of detection><No. of accused involved>245</No. of accused involved><No. of accused arrested.>117</No. of accused arrested.></row>
<row _id="5"><Offence>Cattle Theft</Offence><Reported>98</Reported><Detected>97</Detected><% age of detection>0.9865</% age of detection><No. of accused involved>268</No. of accused involved><No. of accused arrested.>88</No. of accused arrested.></row>
<row _id="6"><Offence>Theft</Offence><Reported>156</Reported><Detected>142</Detected><% age of detection>0.9102</% age of detection><No. of accused involved>428</No. of accused involved><No. of accused arrested.>145</No. of accused arrested.></row>
</data>
