Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 08/04/1994 | 30 |
MALE | 4,000,000 | 11/02/1989 | 35 |
MALE | 4,000,000 | 04/01/1991 | 34 |
MALE | 4,000,000 | 07/03/1994 | 30 |
MALE | 4,000,000 | 06/08/1993 | 32 |
MALE | 4,000,000 | 08/05/1994 | 30 |
MALE | 4,000,000 | 11/30/1990 | 34 |
MALE | 4,000,000 | 03/05/1992 | 33 |
MALE | 4,000,000 | 08/29/1994 | 30 |
MALE | 4,000,000 | 07/31/1980 | 44 |
MALE | 4,000,000 | 05/28/1983 | 42 |
MALE | 4,000,000 | 07/12/1990 | 34 |
FEMALE | 4,000,000 | 05/07/1993 | 32 |
MALE | 4,000,000 | 04/14/1992 | 33 |
FEMALE | 4,000,000 | 07/14/1986 | 38 |
MALE | 4,000,000 | 03/18/1994 | 31 |
FEMALE | 4,000,000 | 05/05/1991 | 34 |
FEMALE | 4,000,000 | 04/20/1989 | 36 |
FEMALE | 4,000,000 | 05/19/1992 | 33 |
MALE | 4,000,000 | 08/11/1994 | 30 |
FEMALE | 4,000,000 | 06/07/1994 | 31 |
FEMALE | 4,000,000 | 02/15/1990 | 35 |
FEMALE | 4,000,000 | 06/26/1994 | 31 |
MALE | 4,000,000 | 03/03/1989 | 36 |
MALE | 4,000,000 | 08/20/1992 | 32 |