Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 09/09/2000 | 24 |
MALE | 2,000,000 | 03/02/1997 | 28 |
FEMALE | 2,000,000 | 08/26/1997 | 27 |
MALE | 2,000,000 | 01/08/1999 | 26 |
FEMALE | 2,000,000 | 09/21/2000 | 24 |
FEMALE | 2,000,000 | 10/03/1996 | 28 |
FEMALE | 2,000,000 | 07/01/1993 | 32 |
FEMALE | 2,000,000 | 03/02/1997 | 28 |
MALE | 2,000,000 | 10/05/1997 | 27 |
FEMALE | 2,000,000 | 02/04/1992 | 33 |
MALE | 2,000,000 | 02/12/1998 | 27 |
MALE | 2,000,000 | 06/02/1991 | 34 |
MALE | 2,000,000 | 10/19/1993 | 31 |
MALE | 2,000,000 | 07/11/1989 | 35 |
MALE | 2,000,000 | 06/05/1996 | 29 |
MALE | 2,000,000 | 01/16/1997 | 28 |
MALE | 2,000,000 | 11/21/1994 | 30 |
FEMALE | 2,000,000 | 06/16/1994 | 31 |
FEMALE | 2,000,000 | 06/22/1995 | 30 |
FEMALE | 2,000,000 | 08/12/1997 | 27 |
MALE | 2,000,000 | 02/19/1994 | 31 |
FEMALE | 2,000,000 | 07/23/1997 | 27 |
MALE | 2,000,000 | 06/11/1995 | 30 |
MALE | 2,000,000 | 03/24/1997 | 28 |
FEMALE | 2,000,000 | 10/07/1997 | 27 |