Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 10/16/1996 | 28 |
MALE | 2,000,000 | 08/31/1994 | 31 |
FEMALE | 2,000,000 | 09/20/1989 | 36 |
MALE | 2,000,000 | 02/14/1996 | 29 |
MALE | 2,000,000 | 10/14/1990 | 34 |
FEMALE | 2,000,000 | 07/28/1995 | 30 |
MALE | 2,000,000 | 01/18/1996 | 29 |
FEMALE | 2,000,000 | 08/08/1997 | 28 |
FEMALE | 2,000,000 | 05/28/1998 | 27 |
FEMALE | 2,000,000 | 09/17/2001 | 24 |
MALE | 2,000,000 | 10/02/1997 | 27 |
MALE | 2,000,000 | 08/19/1987 | 38 |
MALE | 2,000,000 | 07/24/1993 | 32 |
FEMALE | 2,000,000 | 11/22/1997 | 27 |
MALE | 2,000,000 | 08/30/1994 | 31 |
MALE | 2,000,000 | 10/16/1996 | 28 |
MALE | 2,000,000 | 11/03/1993 | 31 |
FEMALE | 2,000,000 | 08/25/1993 | 32 |
FEMALE | 2,000,000 | 01/01/1992 | 33 |
FEMALE | 2,000,000 | 04/23/1999 | 26 |
FEMALE | 2,000,000 | 01/13/1987 | 38 |
FEMALE | 2,000,000 | 08/04/1997 | 28 |
FEMALE | 2,000,000 | 07/01/1996 | 29 |
FEMALE | 2,000,000 | 08/05/2000 | 25 |
FEMALE | 2,000,000 | 05/24/1993 | 32 |