{"id":22647,"date":"2018-04-27T06:10:39","date_gmt":"2018-04-27T06:10:39","guid":{"rendered":"http:\/\/dslsa.org\/?p=22647"},"modified":"2018-04-27T06:10:39","modified_gmt":"2018-04-27T06:10:39","slug":"victim-compensation-data","status":"publish","type":"post","link":"https:\/\/dslsa.org\/hindi\/2018\/04\/27\/victim-compensation-data\/","title":{"rendered":"Victim Compensation Data"},"content":{"rendered":"\n<\/p>\n\n\n\n
\nCategory-wise (Major Categories) Data of Compensation Disbursed under DVCS
\n<\/tD><\/p>\n<\/tr>\n
Year<\/td>\nNo. of Beneficiaries<\/td>\nAmount (in Rs.)<\/td>\nPOCSO <\/td>\nRAPE <\/td>\nMURDER <\/td>\nACCIDENT <\/td>\nACID ATTACK<\/td>\n<\/tr>\n
No. of Victims<\/td>\nAmount (in Rs.)<\/td>\nNo. of Victims<\/td>\nAmount (in Rs.)<\/td>\nNo. of Victims<\/td>\nAmount (in Rs.)<\/td>\nNo. of Victims<\/td>\nAmount (in Rs.)<\/td>\nNo. of Victims<\/td>\nAmount (in Rs.)<\/td>\n<\/tr>\n
2019*<\/span>
\n<\/tD>		 1799 <\/td>\n

 31,11,97,000 <\/td>\n 250<\/td>\n 2,44,00,000<\/td>\n 219<\/td>\n 2,28,21,000<\/td>\n 205<\/td>\n 2,93,45,000<\/td>\n1053<\/td>\n

22,67,86,000<\/td>\n5<\/td>\n9,05,000<\/td>\n<\/tr>\n

2018<\/td>\n

\t

2812<\/td>\n

\t

49,76,41,500<\/td>\n

\t

355<\/td>\n

\t

2,68,25,000\t<\/td>\n

366\t<\/td>\n

3,08,16,000\t<\/td>\n

274\t<\/td>\n

4,55,50,000\t<\/td>\n

1653\t<\/td>\n

37,08,33,500\t<\/td>\n

27\t61,75,000<\/td>\n<\/tr>\n
2017<\/td>\n

\t

2285<\/td>\n

\t

41,89,97,325<\/td>\n

\t

303<\/td>\n

\t

2,38,15,000<\/td>\n

\t

142<\/td>\n

\t

1,39,65,000<\/td>\n

\t

286<\/td>\n

\t

6,49,45,001<\/td>\n

\t

1436<\/td>\n

\t

29,63,35,467<\/td>\n

\t

44<\/td>\n

\t

77,75,000<\/td>\n

<\/tR><\/p>\n

2016<\/td>\n

\t

2029<\/td>\n

\t

25,56,10,500<\/td>\n

\t

271<\/td>\n

\t

1,87,25,000<\/td>\n

\t

66<\/td>\n

\t

1,16,05,000<\/td>\n

\t

155<\/td>\n

\t

2,05,45,000<\/td>\n

\t

1414<\/td>\n

\t

19,25,80,500<\/td>\n

\t

28<\/td>\n

\t

52,85,000<\/td>\n

<\/tR><\/p>\n

2015<\/td>\n

\t

706<\/td>\n

\t

9,65,00,000<\/td>\n

\t

133<\/td>\n

\t

1,11,95,000<\/td>\n

\t

78<\/td>\n

\t

91,05,000<\/td>\n

\t

99<\/td>\n

\t

1,70,40,000<\/td>\n

\t

340<\/td>\n

\t

5,24,15,000<\/td>\n

\t

7<\/td>\n

\t

17,00,000<\/td>\n

<\/tR><\/p>\n

2014<\/td>\n

\t

380<\/td>\n

\t

4,04,62,000<\/td>\n

\t

126<\/td>\n

\t

76,90,000<\/td>\n

\t

154<\/td>\n

\t

1,26,85,000<\/td>\n

\t

29<\/td>\n

\t

84,97,000<\/td>\n

\t

21<\/td>\n

\t

49,20,000<\/td>\n

\t

26<\/td>\n

\t

40,40,000<\/td>\n

<\/tR><\/p>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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