Table...
Gender | Sum insured | Date of birth | Age |
---|---|---|---|
MALE | 3,300,000 | 10/07/1996 | 28 |
FEMALE | 3,300,000 | 08/01/1997 | 27 |
MALE | 3,300,000 | 07/10/1997 | 27 |
MALE | 3,300,000 | 12/13/1996 | 28 |
FEMALE | 3,300,000 | 07/26/1996 | 28 |
MALE | 3,300,000 | 06/30/1994 | 30 |
MALE | 3,300,000 | 03/09/1998 | 27 |
MALE | 3,300,000 | 03/27/1997 | 28 |
MALE | 3,300,000 | 12/10/1976 | 48 |
MALE | 3,228,892.86 | 03/03/1987 | 38 |
MALE | 3,225,000 | 08/12/1999 | 25 |
MALE | 3,225,000 | 07/05/1999 | 25 |
MALE | 3,225,000 | 06/20/1995 | 30 |
FEMALE | 3,212,668.77 | 01/29/1980 | 45 |
MALE | 3,184,566 | 08/10/1984 | 40 |
MALE | 3,161,088 | 10/30/1989 | 35 |
MALE | 3,154,926.9 | 08/15/1985 | 39 |
MALE | 3,150,000 | 08/10/1995 | 29 |
FEMALE | 3,150,000 | 07/06/2000 | 24 |
FEMALE | 3,150,000 | 01/30/2001 | 24 |
MALE | 3,150,000 | 07/17/1999 | 25 |
MALE | 3,150,000 | 09/10/1997 | 27 |
MALE | 3,150,000 | 05/22/1998 | 27 |
MALE | 3,150,000 | 03/26/2001 | 24 |
MALE | 3,150,000 | 03/07/1998 | 27 |