Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 08/08/1997 | 28 |
FEMALE | 2,000,000 | 01/22/2000 | 25 |
FEMALE | 2,000,000 | 11/24/1990 | 34 |
FEMALE | 2,000,000 | 12/14/1997 | 27 |
MALE | 2,000,000 | 11/18/1989 | 35 |
FEMALE | 2,000,000 | 10/19/1996 | 28 |
MALE | 2,000,000 | 02/05/1999 | 26 |
MALE | 2,000,000 | 01/02/1986 | 39 |
FEMALE | 2,000,000 | 12/28/1995 | 29 |
MALE | 2,000,000 | 02/28/1990 | 35 |
FEMALE | 2,000,000 | 04/28/1987 | 38 |
FEMALE | 2,000,000 | 08/25/1996 | 29 |
FEMALE | 2,000,000 | 06/30/2001 | 24 |
FEMALE | 2,000,000 | 07/17/2001 | 24 |
FEMALE | 2,000,000 | 05/15/1995 | 30 |
FEMALE | 2,000,000 | 04/17/1998 | 27 |
MALE | 2,000,000 | 08/12/1996 | 29 |
MALE | 2,000,000 | 07/26/1996 | 29 |
MALE | 2,000,000 | 08/05/2001 | 24 |
MALE | 2,000,000 | 07/08/1999 | 26 |
FEMALE | 2,000,000 | 05/07/1995 | 30 |
FEMALE | 2,000,000 | 03/04/1992 | 33 |
MALE | 2,000,000 | 04/05/1993 | 32 |
FEMALE | 2,000,000 | 01/29/1993 | 32 |
MALE | 2,000,000 | 12/18/1990 | 34 |