Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 09/01/1987 | 37 |
MALE | 4,000,000 | 06/20/1980 | 45 |
FEMALE | 4,000,000 | 08/25/1988 | 36 |
MALE | 4,000,000 | 11/19/1988 | 36 |
MALE | 4,000,000 | 06/27/1989 | 35 |
MALE | 4,000,000 | 03/25/1990 | 35 |
MALE | 4,000,000 | 12/24/1984 | 40 |
FEMALE | 4,000,000 | 01/05/1990 | 35 |
MALE | 4,000,000 | 08/22/1989 | 35 |
FEMALE | 4,000,000 | 04/29/1992 | 33 |
FEMALE | 4,000,000 | 07/31/1990 | 34 |
FEMALE | 4,000,000 | 03/29/1992 | 33 |
FEMALE | 4,000,000 | 11/25/1989 | 35 |
MALE | 4,000,000 | 01/14/1991 | 34 |
FEMALE | 4,000,000 | 11/13/1993 | 31 |
MALE | 4,000,000 | 05/18/1985 | 40 |
FEMALE | 4,000,000 | 03/26/1988 | 37 |
FEMALE | 4,000,000 | 05/27/1987 | 38 |
MALE | 4,000,000 | 07/26/1994 | 30 |
FEMALE | 4,000,000 | 09/14/1986 | 38 |
MALE | 4,000,000 | 03/09/1994 | 31 |
MALE | 4,000,000 | 03/20/1993 | 32 |
MALE | 4,000,000 | 12/01/1987 | 37 |
MALE | 4,000,000 | 02/24/1993 | 32 |
MALE | 4,000,000 | 06/07/1988 | 37 |