Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 01/10/1995 | 30 |
MALE | 4,000,000 | 04/15/1993 | 32 |
MALE | 4,000,000 | 06/16/1989 | 36 |
MALE | 4,000,000 | 11/24/1992 | 32 |
MALE | 4,000,000 | 05/15/1995 | 30 |
MALE | 4,000,000 | 09/18/1994 | 30 |
MALE | 4,000,000 | 03/03/1991 | 34 |
MALE | 4,000,000 | 07/14/1991 | 33 |
MALE | 4,000,000 | 05/28/1995 | 30 |
MALE | 4,000,000 | 11/26/1990 | 34 |
MALE | 4,000,000 | 06/13/1990 | 35 |
MALE | 4,000,000 | 11/27/1991 | 33 |
MALE | 4,000,000 | 07/05/1993 | 31 |
FEMALE | 4,000,000 | 12/26/1995 | 29 |
MALE | 4,000,000 | 03/25/1992 | 33 |
MALE | 4,000,000 | 12/10/1994 | 30 |
MALE | 4,000,000 | 06/03/1990 | 35 |
MALE | 4,000,000 | 04/21/1993 | 32 |
MALE | 4,000,000 | 07/30/1992 | 32 |
MALE | 4,000,000 | 07/05/1993 | 31 |
MALE | 4,000,000 | 04/06/1992 | 33 |
MALE | 4,000,000 | 08/07/1989 | 35 |
MALE | 4,000,000 | 11/09/1988 | 36 |
MALE | 4,000,000 | 02/19/1990 | 35 |
FEMALE | 4,000,000 | 03/10/1987 | 38 |