Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
FEMALE | 2,000,000 | 05/28/1997 | 28 |
FEMALE | 2,000,000 | 10/20/1993 | 31 |
MALE | 2,000,000 | 07/19/1992 | 33 |
MALE | 2,000,000 | 05/09/1998 | 27 |
FEMALE | 2,000,000 | 06/07/1996 | 29 |
FEMALE | 2,000,000 | 05/28/1994 | 31 |
FEMALE | 2,000,000 | 03/24/2001 | 24 |
FEMALE | 2,000,000 | 08/18/1995 | 30 |
FEMALE | 2,000,000 | 06/17/1997 | 28 |
FEMALE | 2,000,000 | 04/18/1994 | 31 |
MALE | 2,000,000 | 07/05/1993 | 32 |
FEMALE | 2,000,000 | 07/03/1997 | 28 |
FEMALE | 2,000,000 | 01/29/1992 | 33 |
MALE | 2,000,000 | 11/23/1990 | 34 |
MALE | 2,000,000 | 10/01/1990 | 34 |
FEMALE | 2,000,000 | 02/04/1995 | 30 |
MALE | 2,000,000 | 05/17/2000 | 25 |
FEMALE | 2,000,000 | 09/07/1998 | 27 |
FEMALE | 2,000,000 | 01/22/1994 | 31 |
FEMALE | 2,000,000 | 05/25/1995 | 30 |
FEMALE | 2,000,000 | 06/13/1997 | 28 |
MALE | 2,000,000 | 09/28/1998 | 26 |
MALE | 2,000,000 | 08/04/1999 | 26 |
MALE | 2,000,000 | 02/24/1993 | 32 |
MALE | 2,000,000 | 06/28/1996 | 29 |