Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 07/21/1996 | 29 |
MALE | 2,000,000 | 04/16/2000 | 25 |
FEMALE | 2,000,000 | 08/10/1996 | 29 |
MALE | 2,000,000 | 04/24/1992 | 33 |
FEMALE | 2,000,000 | 03/28/2000 | 25 |
FEMALE | 2,000,000 | 04/26/1996 | 29 |
MALE | 2,000,000 | 01/08/1998 | 27 |
FEMALE | 2,000,000 | 03/30/2000 | 25 |
FEMALE | 2,000,000 | 06/19/1995 | 30 |
MALE | 2,000,000 | 11/12/1995 | 29 |
FEMALE | 2,000,000 | 04/30/1990 | 35 |
FEMALE | 2,000,000 | 12/06/1988 | 36 |
MALE | 2,000,000 | 11/11/1992 | 32 |
MALE | 2,000,000 | 01/15/2000 | 25 |
MALE | 2,000,000 | 04/26/1995 | 30 |
MALE | 2,000,000 | 04/14/1995 | 30 |
MALE | 2,000,000 | 03/11/2001 | 24 |
FEMALE | 2,000,000 | 07/18/1995 | 30 |
FEMALE | 2,000,000 | 05/30/1999 | 26 |
MALE | 2,000,000 | 10/02/1994 | 30 |
MALE | 2,000,000 | 06/30/1999 | 26 |
MALE | 2,000,000 | 01/17/1996 | 29 |
FEMALE | 2,000,000 | 08/12/1989 | 36 |
MALE | 2,000,000 | 03/14/1996 | 29 |
FEMALE | 2,000,000 | 05/25/1996 | 29 |