COVID-19 National Longitudinal Phone Survey 2020-2021, Phase 1
Nigeria, 2020 - 2021
Get MicrodataCreated on
Jan 16, 2021
Last modified
May 31, 2022
Page views
44858
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- Data files
- r1_sect_1.dta
- r1_sect_1b.dta
- r1_sect_2.dta
- r1_sect_7.dta
- r1_sect_10.dta
- r1_sect_11.dta
- r1_sect_a_3_4_5_6_8_9_12.dta
- r2_sect_1.dta
- r2_sect_1b.dta
- r2_sect_2.dta
- r2_sect_7.dta
- r2_sect_11.dta
- r2_sect_a_2_5_6_8_12.dta
- r3_sect_1.dta
- r3_sect_1b.dta
- r3_sect_2.dta
- r3_sect_7.dta
- r3_sect_10.dta
- r3_sect_11.dta
- r3_sect_a_2_5_5a_6_12.dta
- r4_sect_1.dta
- r4_sect_1b.dta
- r4_sect_2.dta
- r4_sect_7.dta
- r4_sect_11.dta
- r4_sect_a_2_5_5b_6_8_9_12.dta
- r5_sect_1.dta
- r5_sect_1b.dta
- r5_sect_2.dta
- r5_sect_6b.dta
- r5_sect_7.dta
- r5_sect_a_2_5c_6_12.dta
- r6_sect_1.dta
- r6_sect_1b.dta
- r6_sect_2.dta
- r6_sect_5c.dta
- r6_sect_7.dta
- r6_sect_a_2_3a_6_9a_12.dta
- r7_sect_1.dta
- r7_sect_1b.dta
- r7_sect_2.dta
- r7_sect_11.dta
- r7_sect_a_5_6_8_9_12.dta
- r8_sect_1.dta
- r8_sect_1b.dta
- r8_sect_2.dta
- r8_sect_10.dta
- r8_sect_a_2_6_12.dta
- r9_sect_1.dta
- r9_sect_1b.dta
- r9_sect_2.dta
- r9_sect_7.dta
- r9_sect_a_2_5_5c_5d_6_12.dta
- r10_sect_1.dta
- r10_sect_1b.dta
- r10_sect_2.dta
- r10_sect_6b.dta
- r10_sect_a_2_5_6_9_9a_12.dta
- r11_sect_1.dta
- r11_sect_1b.dta
- r11_sect_2.dta
- r11_sect_5c.dta
- r11_sect_11.dta
- r11_sect_a_2_5_5b_6_12b_12.dta
- r12_sect_a_12.dta
- r12_sect_1.dta
- r12_sect_1b.dta
- r12_sect_2.dta
- r12_sect_5e_9a.dta
When you are about 30 years old, what dream job would you like to be doing? (s5eq24b)
Data file: r12_sect_5e_9a.dta
Overview
Valid:
973
Invalid:
1
Minimum:
1
Maximum:
96
Type:
Discrete
Decimal:
0
Start:
807
End:
808
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. ACCOUNTANT | 36 |
3.7%
|
| 2 | 2. ACTOR / ACTRESS | 5 |
0.5%
|
| 3 | 3. ARTIST | 9 |
0.9%
|
| 4 | 4. CIVIL SERVANTS | 57 |
5.9%
|
| 5 | 5. COMPUTER OPERATOR | 12 |
1.2%
|
| 6 | 6. CONDUCTOR | 0 |
0%
|
| 7 | 7. CONSTRUCTION WORKER | 8 |
0.8%
|
| 8 | 8. COOK | 3 |
0.3%
|
| 9 | 9. DENTIST | 0 |
0%
|
| 10 | 10. DISTRICT COLLECTOR | 0 |
0%
|
| 11 | 11. DOCTOR | 129 |
13.3%
|
| 12 | 12. DOMESTIC WORKER | 0 |
0%
|
| 13 | 13. DRIVER | 3 |
0.3%
|
| 14 | 14. ENGINEER | 53 |
5.4%
|
| 15 | 15. FARMER | 14 |
1.4%
|
| 16 | 16. FIREMAN/WOMAN | 0 |
0%
|
| 17 | 17. FISHERMAN | 1 |
0.1%
|
| 18 | 18. FULLTIME PARENT/ HOUSEWIFE | 2 |
0.2%
|
| 19 | 19. LABOURER | 0 |
0%
|
| 20 | 20. LAWYER | 29 |
3%
|
| 21 | 21. LECTURER | 21 |
2.2%
|
| 22 | 22. MARKET TRADER / SHOP ASSISTANT | 3 |
0.3%
|
| 23 | 23. MASON / CARPINTER / THATCHER | 3 |
0.3%
|
| 24 | 24. MECHANIC | 7 |
0.7%
|
| 25 | 25. NURSE | 50 |
5.1%
|
| 26 | 26. PAINTER / DECORATOR | 5 |
0.5%
|
| 27 | 27. PILOT | 0 |
0%
|
| 28 | 28. POLICEMAN/WOMAN | 15 |
1.5%
|
| 29 | 29. POLITICIAN | 7 |
0.7%
|
| 30 | 30. PRESIDENT / LEADER OF A COUNTRY | 0 |
0%
|
| 31 | 31. SCIENTIST | 5 |
0.5%
|
| 32 | 32. SINGER | 1 |
0.1%
|
| 33 | 33. SOLDIER | 35 |
3.6%
|
| 34 | 34. SPORTSMAN/WOMAN | 3 |
0.3%
|
| 35 | 35. TAILOR | 61 |
6.3%
|
| 36 | 36. TAXI DRIVER | 0 |
0%
|
| 37 | 37. TEACHER/LECTURER | 73 |
7.5%
|
| 38 | 38. TRADER / BUSINESSMAN/WOMAN | 213 |
21.9%
|
| 39 | 39. TRADITIONAL OCCUPATION | 4 |
0.4%
|
| 40 | 40. UNIVERSITY STUDENT / OTHER FORM OF FURTHER EDUCATION | 0 |
0%
|
| 41 | 41. VETERINARIAN | 1 |
0.1%
|
| 42 | 42. SECRETARY / ADMINISTRATIVE ASSISTANT | 6 |
0.6%
|
| 43 | 43. RELIGIOUS LEADER / PRIEST / SHEIKH | 2 |
0.2%
|
| 44 | 44. MANAGER / MANAGEMENT | 6 |
0.6%
|
| 45 | 45. AGRICULTURAL EXTENSION WORKER | 5 |
0.5%
|
| 46 | 46. HEALTH EXTENSION WORKER | 8 |
0.8%
|
| 47 | 47. FACTORY WORKER | 2 |
0.2%
|
| 48 | 48. JOURNALIST | 12 |
1.2%
|
| 49 | 49. ISLAMIC/QURANIC TEACHER | 4 |
0.4%
|
| 96 | 96. OTHER - SPECIFY | 60 |
6.2%
|
| Sysmiss | 1 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.