| Value | Category | Cases | |
|---|---|---|---|
| 1 | ACCOUNTANT | 35 |
3.8%
|
| 2 | ACTOR / ACTRESS | 0 |
0%
|
| 3 | ARTIST | 0 |
0%
|
| 4 | CIVIL SERVANTS | 28 |
3.1%
|
| 5 | COMPUTER OPERATOR | 2 |
0.2%
|
| 6 | CONDUCTOR | 0 |
0%
|
| 7 | CONSTRUCTION WORKER | 6 |
0.7%
|
| 8 | COOK | 1 |
0.1%
|
| 9 | DENTIST | 1 |
0.1%
|
| 10 | DISTRICT COLLECTOR | 0 |
0%
|
| 11 | DOCTOR | 143 |
15.6%
|
| 12 | DOMESTIC WORKER | 2 |
0.2%
|
| 13 | DRIVER | 18 |
2%
|
| 14 | ENGINEER | 22 |
2.4%
|
| 15 | FARMER | 21 |
2.3%
|
| 16 | FIREMAN/WOMAN | 0 |
0%
|
| 17 | FISHERMAN | 1 |
0.1%
|
| 18 | FULLTIME PARENT/ HOUSEWIFE | 0 |
0%
|
| 19 | LABOURER | 0 |
0%
|
| 20 | LAWYER | 20 |
2.2%
|
| 21 | LECTURER | 1 |
0.1%
|
| 22 | MARKET TRADER / SHOP ASSISTANT | 54 |
5.9%
|
| 23 | MASON / CARPINTER / THATCHER | 3 |
0.3%
|
| 24 | MECHANIC | 14 |
1.5%
|
| 25 | NURSE | 143 |
15.6%
|
| 26 | PAINTER / DECORATOR | 1 |
0.1%
|
| 27 | PILOT | 4 |
0.4%
|
| 28 | POLICEMAN/WOMAN | 44 |
4.8%
|
| 29 | POLITICIAN | 0 |
0%
|
| 30 | PRESIDENT / LEADER OF A COUNTRY | 1 |
0.1%
|
| 31 | SCIENTIST | 1 |
0.1%
|
| 32 | SINGER | 0 |
0%
|
| 33 | SOLDIER | 63 |
6.9%
|
| 34 | SPORTSMAN/WOMAN | 0 |
0%
|
| 35 | TAILOR | 5 |
0.5%
|
| 36 | TAXI DRIVER | 2 |
0.2%
|
| 37 | TEACHER/LECTURER | 94 |
10.2%
|
| 38 | TRADER / BUSINESSMAN/WOMAN | 79 |
8.6%
|
| 39 | TRADITIONAL OCCUPATION | 0 |
0%
|
| 40 | UNIVERSITY STUDENT / OTHER FORM OF FURTHER EDUCATION | 0 |
0%
|
| 41 | VETERINARIAN | 0 |
0%
|
| 42 | SECRETARY / ADMINISTRATIVE ASSISTANT | 2 |
0.2%
|
| 43 | RELIGIOUS LEADER / PRIEST / SHEIKH | 1 |
0.1%
|
| 44 | MANAGER / MANAGEMENT | 25 |
2.7%
|
| 45 | AGRICULTURAL EXTENSION WORKER | 19 |
2.1%
|
| 46 | HEALTH EXTENSION WORKER | 4 |
0.4%
|
| 47 | FACTORY WORKER | 2 |
0.2%
|
| 48 | JOURNALIST | 27 |
2.9%
|
| 49 | ISLAMIC/QURANIC TEACHER | 0 |
0%
|
| 96 | OTHER - SPECIFY | 29 |
3.2%
|
| Sysmiss | 1 |