Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 2,000,000 | 03/18/2000 | 25 |
FEMALE | 2,000,000 | 10/21/2000 | 24 |
MALE | 2,000,000 | 08/06/1999 | 26 |
FEMALE | 2,000,000 | 11/23/1993 | 31 |
MALE | 2,000,000 | 12/17/1993 | 31 |
MALE | 2,000,000 | 08/16/1991 | 34 |
FEMALE | 2,000,000 | 01/29/1996 | 29 |
MALE | 2,000,000 | 08/05/1999 | 26 |
MALE | 2,000,000 | 02/01/1989 | 36 |
MALE | 2,000,000 | 08/12/2000 | 25 |
MALE | 2,000,000 | 08/06/1996 | 29 |
MALE | 2,000,000 | 07/29/1992 | 33 |
FEMALE | 2,000,000 | 10/16/2001 | 23 |
MALE | 2,000,000 | 11/15/1995 | 29 |
MALE | 2,000,000 | 08/13/1994 | 31 |
FEMALE | 2,000,000 | 08/09/1995 | 30 |
MALE | 2,000,000 | 08/06/1991 | 34 |
MALE | 2,000,000 | 03/20/1996 | 29 |
FEMALE | 2,000,000 | 07/12/1999 | 26 |
FEMALE | 2,000,000 | 08/29/1996 | 29 |
FEMALE | 2,000,000 | 10/07/1997 | 27 |
MALE | 2,000,000 | 04/18/1995 | 30 |
MALE | 2,000,000 | 06/21/1996 | 29 |
FEMALE | 2,000,000 | 03/23/1997 | 28 |
MALE | 2,000,000 | 08/10/1996 | 29 |