Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 03/30/1992 | 33 |
FEMALE | 4,000,000 | 05/13/1993 | 32 |
MALE | 4,000,000 | 02/01/1989 | 36 |
MALE | 4,000,000 | 05/21/1987 | 38 |
MALE | 4,000,000 | 05/31/1989 | 36 |
MALE | 4,000,000 | 04/26/1986 | 39 |
FEMALE | 4,000,000 | 01/26/1990 | 35 |
MALE | 4,000,000 | 06/06/1991 | 34 |
MALE | 4,000,000 | 02/07/1985 | 40 |
FEMALE | 4,000,000 | 05/07/1980 | 45 |
FEMALE | 4,000,000 | 08/03/1989 | 35 |
MALE | 4,000,000 | 07/18/1994 | 30 |
FEMALE | 4,000,000 | 06/21/1993 | 32 |
FEMALE | 4,000,000 | 05/21/1990 | 35 |
MALE | 4,000,000 | 06/06/1994 | 31 |
MALE | 4,000,000 | 03/08/1982 | 43 |
FEMALE | 4,000,000 | 04/27/1994 | 31 |
MALE | 4,000,000 | 03/04/1991 | 34 |
MALE | 4,000,000 | 08/13/1988 | 36 |
FEMALE | 4,000,000 | 03/25/1994 | 31 |
FEMALE | 4,000,000 | 10/22/1990 | 34 |
MALE | 4,000,000 | 06/03/1995 | 30 |
MALE | 4,000,000 | 07/13/1988 | 36 |
MALE | 4,000,000 | 04/24/1994 | 31 |
MALE | 4,000,000 | 08/08/1988 | 36 |