Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 4,000,000 | 03/22/1994 | 31 |
FEMALE | 4,000,000 | 03/25/1988 | 37 |
FEMALE | 4,000,000 | 04/08/1996 | 29 |
FEMALE | 4,000,000 | 08/23/1992 | 32 |
MALE | 4,000,000 | 07/18/1987 | 37 |
MALE | 4,000,000 | 01/05/1996 | 29 |
MALE | 4,000,000 | 02/19/1986 | 39 |
MALE | 4,000,000 | 12/17/1988 | 36 |
FEMALE | 4,000,000 | 07/01/1993 | 32 |
FEMALE | 4,000,000 | 05/17/1995 | 30 |
MALE | 4,000,000 | 05/29/1994 | 31 |
MALE | 4,000,000 | 10/31/1992 | 32 |
MALE | 4,000,000 | 06/20/1991 | 34 |
MALE | 4,000,000 | 12/10/1993 | 31 |
MALE | 4,000,000 | 07/01/1981 | 44 |
MALE | 4,000,000 | 05/02/1994 | 31 |
FEMALE | 4,000,000 | 10/30/1990 | 34 |
FEMALE | 4,000,000 | 09/01/1991 | 33 |
MALE | 4,000,000 | 01/11/1995 | 30 |
FEMALE | 4,000,000 | 12/09/1989 | 35 |
FEMALE | 4,000,000 | 04/12/1991 | 34 |
MALE | 4,000,000 | 08/05/1987 | 37 |
MALE | 4,000,000 | 10/04/1981 | 43 |
FEMALE | 4,000,000 | 04/15/1989 | 36 |
FEMALE | 4,000,000 | 02/20/1988 | 37 |