Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 10/30/1986 | 38 |
FEMALE | 4,000,000 | 05/29/1994 | 31 |
MALE | 4,000,000 | 03/06/1990 | 35 |
MALE | 4,000,000 | 06/24/1994 | 31 |
MALE | 4,000,000 | 03/09/1994 | 31 |
MALE | 4,000,000 | 01/19/1992 | 33 |
MALE | 4,000,000 | 08/31/1994 | 30 |
MALE | 4,000,000 | 08/15/1985 | 39 |
MALE | 4,000,000 | 06/30/1994 | 31 |
MALE | 4,000,000 | 03/27/1995 | 30 |
FEMALE | 4,000,000 | 06/29/1992 | 33 |
MALE | 4,000,000 | 08/08/1993 | 31 |
MALE | 4,000,000 | 08/20/1996 | 28 |
FEMALE | 4,000,000 | 03/29/1993 | 32 |
MALE | 4,000,000 | 03/05/1984 | 41 |
MALE | 4,000,000 | 04/21/1993 | 32 |
MALE | 4,000,000 | 08/21/1993 | 31 |
FEMALE | 4,000,000 | 07/20/1987 | 37 |
MALE | 4,000,000 | 04/24/1996 | 29 |
FEMALE | 4,000,000 | 07/25/1991 | 33 |
FEMALE | 4,000,000 | 12/01/1995 | 29 |
FEMALE | 4,000,000 | 09/06/1994 | 30 |
MALE | 4,000,000 | 04/26/1996 | 29 |
MALE | 4,000,000 | 05/23/1995 | 30 |
FEMALE | 4,000,000 | 10/01/1988 | 36 |