Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 05/17/1991 | 34 |
MALE | 4,000,000 | 05/11/1982 | 43 |
FEMALE | 4,000,000 | 07/01/1990 | 35 |
MALE | 4,000,000 | 11/01/1996 | 28 |
FEMALE | 4,000,000 | 08/21/1995 | 29 |
MALE | 4,000,000 | 07/10/1989 | 35 |
MALE | 4,000,000 | 02/12/1992 | 33 |
MALE | 4,000,000 | 02/01/1985 | 40 |
MALE | 4,000,000 | 05/07/1992 | 33 |
MALE | 4,000,000 | 08/23/1982 | 42 |
MALE | 4,000,000 | 05/01/1994 | 31 |
MALE | 4,000,000 | 05/26/1991 | 34 |
MALE | 4,000,000 | 06/27/1986 | 39 |
MALE | 4,000,000 | 12/11/1978 | 46 |
MALE | 4,000,000 | 07/23/1996 | 28 |
FEMALE | 4,000,000 | 08/26/1996 | 28 |
MALE | 4,000,000 | 02/20/1994 | 31 |
MALE | 4,000,000 | 12/21/1982 | 42 |
MALE | 4,000,000 | 11/10/1990 | 34 |
MALE | 4,000,000 | 06/12/1990 | 35 |
MALE | 4,000,000 | 05/20/1984 | 41 |
MALE | 4,000,000 | 03/04/1994 | 31 |
MALE | 4,000,000 | 12/01/1987 | 37 |
MALE | 4,000,000 | 06/13/1994 | 31 |
FEMALE | 4,000,000 | 08/31/1989 | 35 |