Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 07/15/1989 | 35 |
MALE | 4,000,000 | 09/30/1994 | 30 |
FEMALE | 4,000,000 | 04/23/1998 | 27 |
MALE | 4,000,000 | 07/01/1994 | 30 |
FEMALE | 4,000,000 | 02/28/1995 | 30 |
MALE | 4,000,000 | 08/04/1995 | 29 |
MALE | 4,000,000 | 08/01/1993 | 31 |
MALE | 4,000,000 | 11/12/1985 | 39 |
FEMALE | 4,000,000 | 08/10/1990 | 34 |
MALE | 4,000,000 | 06/25/1999 | 26 |
MALE | 4,000,000 | 04/05/1988 | 37 |
FEMALE | 4,000,000 | 08/30/1989 | 35 |
MALE | 4,000,000 | 08/07/1998 | 26 |
MALE | 4,000,000 | 06/25/1992 | 33 |
MALE | 4,000,000 | 11/22/1990 | 34 |
MALE | 4,000,000 | 05/15/1990 | 35 |
FEMALE | 4,000,000 | 03/10/1995 | 30 |
MALE | 4,000,000 | 12/07/1994 | 30 |
MALE | 4,000,000 | 06/22/1995 | 30 |
MALE | 4,000,000 | 08/07/1989 | 35 |
MALE | 4,000,000 | 08/17/1988 | 36 |
MALE | 4,000,000 | 08/25/1992 | 32 |
MALE | 4,000,000 | 10/17/1997 | 27 |
MALE | 4,000,000 | 05/06/1987 | 38 |
MALE | 4,000,000 | 04/18/1986 | 39 |