Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 01/18/1994 | 31 |
MALE | 4,000,000 | 05/08/1987 | 38 |
MALE | 4,000,000 | 09/04/1998 | 26 |
FEMALE | 4,000,000 | 01/14/1998 | 27 |
MALE | 4,000,000 | 01/08/1991 | 34 |
FEMALE | 4,000,000 | 08/24/1984 | 40 |
MALE | 4,000,000 | 06/18/1987 | 38 |
MALE | 4,000,000 | 09/09/1994 | 30 |
MALE | 4,000,000 | 01/02/1991 | 34 |
MALE | 4,000,000 | 09/30/1987 | 37 |
FEMALE | 4,000,000 | 02/14/1995 | 30 |
MALE | 4,000,000 | 07/07/1995 | 29 |
MALE | 4,000,000 | 01/06/1992 | 33 |
MALE | 4,000,000 | 06/07/1995 | 30 |
MALE | 4,000,000 | 04/15/1989 | 36 |
MALE | 4,000,000 | 08/16/1996 | 28 |
FEMALE | 4,000,000 | 03/27/1996 | 29 |
MALE | 4,000,000 | 01/05/1992 | 33 |
FEMALE | 4,000,000 | 04/13/1989 | 36 |
MALE | 4,000,000 | 06/14/1995 | 30 |
MALE | 4,000,000 | 01/14/1984 | 41 |
FEMALE | 4,000,000 | 10/18/1990 | 34 |
FEMALE | 4,000,000 | 03/25/1985 | 40 |
FEMALE | 4,000,000 | 10/01/1998 | 26 |
MALE | 4,000,000 | 05/24/1992 | 33 |