Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 4,000,000 | 03/11/1990 | 35 |
MALE | 4,000,000 | 06/19/1992 | 33 |
FEMALE | 4,000,000 | 04/14/1990 | 35 |
MALE | 4,000,000 | 04/07/1990 | 35 |
FEMALE | 4,000,000 | 08/26/1976 | 48 |
FEMALE | 4,000,000 | 09/07/1990 | 34 |
MALE | 4,000,000 | 12/01/1990 | 34 |
MALE | 4,000,000 | 06/07/1997 | 28 |
MALE | 4,000,000 | 05/21/1988 | 37 |
FEMALE | 4,000,000 | 10/07/1996 | 28 |
FEMALE | 4,000,000 | 08/01/1991 | 33 |
FEMALE | 4,000,000 | 11/30/1991 | 33 |
MALE | 4,000,000 | 07/22/1980 | 44 |
MALE | 4,000,000 | 05/30/1990 | 35 |
MALE | 4,000,000 | 06/03/1991 | 34 |
MALE | 4,000,000 | 06/04/1993 | 32 |
MALE | 4,000,000 | 05/03/1993 | 32 |
MALE | 4,000,000 | 02/26/1990 | 35 |
MALE | 4,000,000 | 05/28/1992 | 33 |
MALE | 4,000,000 | 06/28/1989 | 36 |
FEMALE | 4,000,000 | 04/24/1987 | 38 |
FEMALE | 4,000,000 | 01/12/1990 | 35 |
FEMALE | 4,000,000 | 07/06/1994 | 30 |
MALE | 4,000,000 | 06/03/1988 | 37 |
FEMALE | 4,000,000 | 12/21/1988 | 36 |