Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 3,150,000 | 03/29/1996 | 29 |
MALE | 3,150,000 | 06/09/1998 | 27 |
FEMALE | 3,150,000 | 03/18/2001 | 24 |
MALE | 3,150,000 | 09/03/1994 | 30 |
MALE | 3,150,000 | 06/06/1997 | 28 |
MALE | 3,150,000 | 12/15/1999 | 25 |
FEMALE | 3,150,000 | 04/23/2001 | 24 |
MALE | 3,150,000 | 06/26/1999 | 26 |
MALE | 3,148,261.32 | 02/17/1980 | 45 |
MALE | 3,088,750.5 | 12/24/1990 | 34 |
MALE | 3,078,151.26 | 03/05/1993 | 32 |
MALE | 3,048,000 | 10/25/1999 | 25 |
FEMALE | 3,045,942.9 | 09/03/1995 | 29 |
MALE | 3,040,537.5 | 05/09/1994 | 31 |
MALE | 3,024,065.28 | 03/02/1987 | 38 |
MALE | 3,022,689.09 | 08/08/1998 | 26 |
MALE | 3,012,187.5 | 07/02/1993 | 31 |
FEMALE | 3,000,000 | 12/12/2000 | 24 |
MALE | 3,000,000 | 12/01/2000 | 24 |
MALE | 3,000,000 | 07/17/2000 | 24 |
MALE | 3,000,000 | 01/04/2000 | 25 |
MALE | 3,000,000 | 01/13/2000 | 25 |
MALE | 3,000,000 | 03/24/2000 | 25 |
MALE | 3,000,000 | 12/25/1997 | 27 |
FEMALE | 2,906,202.3 | 10/17/1984 | 40 |