Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 01/07/1990 | 35 |
FEMALE | 4,000,000 | 06/08/1989 | 36 |
MALE | 4,000,000 | 07/01/1991 | 34 |
MALE | 4,000,000 | 02/09/1989 | 36 |
MALE | 4,000,000 | 05/05/1989 | 36 |
MALE | 4,000,000 | 05/21/1993 | 32 |
MALE | 4,000,000 | 02/10/1993 | 32 |
MALE | 4,000,000 | 01/07/1995 | 30 |
MALE | 4,000,000 | 08/14/1982 | 42 |
MALE | 4,000,000 | 03/19/1991 | 34 |
MALE | 4,000,000 | 06/06/1990 | 35 |
MALE | 4,000,000 | 06/04/1990 | 35 |
MALE | 4,000,000 | 03/05/1993 | 32 |
MALE | 4,000,000 | 03/11/1990 | 35 |
FEMALE | 4,000,000 | 11/21/1994 | 30 |
MALE | 4,000,000 | 04/18/1987 | 38 |
FEMALE | 4,000,000 | 04/29/1987 | 38 |
FEMALE | 4,000,000 | 09/19/1990 | 34 |
MALE | 4,000,000 | 08/01/1993 | 31 |
MALE | 4,000,000 | 07/07/1989 | 35 |
MALE | 4,000,000 | 06/18/1981 | 44 |
FEMALE | 4,000,000 | 10/22/1989 | 35 |
MALE | 4,000,000 | 11/30/1994 | 30 |
MALE | 4,000,000 | 12/04/1985 | 39 |
MALE | 4,000,000 | 08/23/1991 | 33 |