Nigeria Forced Labour Survey 2022
First round
Nigeria, 2022
Get Microdata
Reference ID
NGA-NBS-NFLS-2022-v01
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
May 23, 2024
Last modified
May 23, 2024
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FLA_7. Occupation code (ANNEX I) ISCO (fla_7)
Data file: Forced Labour
Overview
Valid:
1084
Invalid:
38171
Type:
Discrete
Decimal:
0
Start:
98
End:
100
Width:
3
Range:
11 - 962
Format:
Numeric
Questions and instructions
Literal question
FLA_7. Occupation code (ANNEX I) ISCO
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Commissioned armed forces officers | 2 |
0.2%
|
| 21 | Non-commissioned armed forces officer | 5 |
0.5%
|
| 31 | Armed forces occupations, other ranks | 3 |
0.3%
|
| 111 | Legislators and Senior Officials | 55 |
5.1%
|
| 112 | Managing Directors and Chief Executive | 6 |
0.6%
|
| 121 | Business Services and Administration Managers | 33 |
3%
|
| 122 | Sales, Marketing and Developing Managers | 29 |
2.7%
|
| 131 | Production Managers in agriculture, forestry and fisheries | 115 |
10.6%
|
| 132 | Manufacturing, minning, construction, and distribution manag | 11 |
1%
|
| 133 | Information and communications technology service manager | 1 |
0.1%
|
| 134 | Professional Services Managers | 3 |
0.3%
|
| 141 | Hotel and Resturant Managers | 21 |
1.9%
|
| 142 | Retail and Wholesales Trade | 90 |
8.3%
|
| 143 | Other Services Managers | 10 |
0.9%
|
| 211 | Physical and earth science professionals | 1 |
0.1%
|
| 212 | Mathematics, actuaries and statisticians | 1 |
0.1%
|
| 213 | Life science professionals | 0 |
0%
|
| 214 | Engineering professionals (excluding electrotechnology) | 3 |
0.3%
|
| 215 | Electrotechnology Engineers | 4 |
0.4%
|
| 216 | Architects, planners, surveyors and designers | 0 |
0%
|
| 221 | Medical Doctors | 0 |
0%
|
| 222 | Nursing and midwifery professionals | 1 |
0.1%
|
| 223 | Traditional and complementary medicine professional | 0 |
0%
|
| 224 | Paramedical practitioners | 0 |
0%
|
| 225 | Veterinarians | 1 |
0.1%
|
| 226 | Other health professionals | 3 |
0.3%
|
| 231 | University and higher education teachers | 2 |
0.2%
|
| 232 | Vocation education teachers | 3 |
0.3%
|
| 233 | Secondary education teachers | 21 |
1.9%
|
| 234 | Primary School and early childhood teachers | 28 |
2.6%
|
| 235 | Other teaching professionals | 4 |
0.4%
|
| 241 | Finance professionals | 3 |
0.3%
|
| 242 | Administration professionals | 4 |
0.4%
|
| 243 | Sales, marketing and public relations professionals | 5 |
0.5%
|
| 251 | Software and applications developers and analysis | 0 |
0%
|
| 252 | Database and network professionals | 0 |
0%
|
| 261 | Legal professionals | 0 |
0%
|
| 262 | Libriarian, achivists and curators | 1 |
0.1%
|
| 263 | Social and religious professionals | 2 |
0.2%
|
| 264 | Authors, journalists and linguists | 1 |
0.1%
|
| 265 | Creatives, and performing artists | 1 |
0.1%
|
| 311 | Physical and engineering science technicians | 1 |
0.1%
|
| 312 | Mining, manufacturing and construction supervisors | 4 |
0.4%
|
| 313 | Process control technicians | 0 |
0%
|
| 314 | Life science technicians and related associate professionals | 0 |
0%
|
| 315 | Shift and aircraft controllers and technicians | 0 |
0%
|
| 321 | Medical and pharmaceutical technicians | 2 |
0.2%
|
| 322 | Nursing and midwifery associate professionals | 0 |
0%
|
| 323 | Traditional and complementary medicine associate professiona | 0 |
0%
|
| 324 | Veterinary technicians and assistants | 0 |
0%
|
| 325 | Other health associate professionals | 0 |
0%
|
| 331 | Financial and mathematical associate professionals | 1 |
0.1%
|
| 332 | Sales and purchasing agents and brokers | 1 |
0.1%
|
| 333 | Business services agents | 8 |
0.7%
|
| 334 | Administrative and specialized secretaries | 5 |
0.5%
|
| 335 | Regulatory government associate professionals | 3 |
0.3%
|
| 341 | Legal, social and religious associate professionals | 1 |
0.1%
|
| 342 | Sports and fitness workers | 0 |
0%
|
| 343 | Artistic, cultural and cultinary associate professionals | 1 |
0.1%
|
| 351 | Information and Communication Technology operations ans user | 1 |
0.1%
|
| 352 | Telecommunications and broadcasting technicians | 3 |
0.3%
|
| 411 | General Office clerks | 3 |
0.3%
|
| 412 | Secretaries (general) | 3 |
0.3%
|
| 413 | Keyboard operators | 0 |
0%
|
| 421 | Tellers, money collectors and related clerks 96 | 0 |
0%
|
| 422 | Client information workers | 0 |
0%
|
| 431 | Numerical Clerks | 0 |
0%
|
| 432 | Material recording and transport clerks | 1 |
0.1%
|
| 441 | Other clerical support workers | 2 |
0.2%
|
| 511 | Travel attendants, conductors and guides | 1 |
0.1%
|
| 512 | Cooks | 9 |
0.8%
|
| 513 | Waiters and bartenders | 4 |
0.4%
|
| 514 | Hairdressers, beauticians and related workers | 9 |
0.8%
|
| 515 | Building and housekeeping supervisors | 13 |
1.2%
|
| 516 | Other personal services workers | 15 |
1.4%
|
| 521 | Street and market sales persons | 5 |
0.5%
|
| 522 | Shop salespersons | 11 |
1%
|
| 523 | Cashiers and ticket clerks | 1 |
0.1%
|
| 524 | Other sales workers | 1 |
0.1%
|
| 531 | Child care workers and teachers aides | 5 |
0.5%
|
| 532 | Personal care workers in health services | 2 |
0.2%
|
| 541 | Protective services workers | 8 |
0.7%
|
| 611 | Market gardeners and crop growners | 3 |
0.3%
|
| 612 | Animal producers | 8 |
0.7%
|
| 613 | Mixed crop and animal producers | 23 |
2.1%
|
| 621 | Forestry and related workers | 1 |
0.1%
|
| 622 | Fishery workers, hunters and trappers | 3 |
0.3%
|
| 631 | Subsistence crop farmers | 110 |
10.1%
|
| 632 | Subsistence livestock farmers | 35 |
3.2%
|
| 633 | Subsistence mixed crop and livestock farmers | 36 |
3.3%
|
| 634 | Subsistence fisheries, hunters, trappers and gatherers | 1 |
0.1%
|
| 711 | Building frame and related trades workers | 1 |
0.1%
|
| 712 | Building finishers and related trades workers | 7 |
0.6%
|
| 713 | Painters, building structure cleaners and related trades wor | 9 |
0.8%
|
| 721 | Sheet and structural metal workers, moulders and welders and | 8 |
0.7%
|
| 722 | Blacksmiths, toolmakers and related trades workers | 0 |
0%
|
| 723 | Machinery mechanics and repairers | 14 |
1.3%
|
| 731 | Handicraft workers | 2 |
0.2%
|
| 732 | Printing trades workers | 0 |
0%
|
| 741 | Electrical equipment installers and repairers | 7 |
0.6%
|
| 742 | Electronics and telecommunications installers and repairers | 2 |
0.2%
|
| 751 | Food processing and related trades workers | 6 |
0.6%
|
| 752 | Wood treaters, cabinet-makers and related trades workers | 5 |
0.5%
|
| 753 | Garment and related trades workers | 3 |
0.3%
|
| 754 | Other craft and related workers | 2 |
0.2%
|
| 811 | Mining and mineral processing plant operators | 0 |
0%
|
| 812 | Metal processing and finishing plant operators | 1 |
0.1%
|
| 813 | Chemical and photographic products plant and machine operato | 0 |
0%
|
| 814 | Rubber, plastic and paper products machine operators | 0 |
0%
|
| 815 | Textile, fur and leather products machine operators | 3 |
0.3%
|
| 816 | Food and related products machine operators | 1 |
0.1%
|
| 817 | Wood processing and papermaking plant operators | 3 |
0.3%
|
| 818 | Other stationary plant and machine operators | 2 |
0.2%
|
| 821 | Assemblers | 0 |
0%
|
| 831 | Locomotive engine drivers and related workers | 0 |
0%
|
| 832 | Car, van and motorcycle drivers | 35 |
3.2%
|
| 833 | Heavy truck and bus drivers | 5 |
0.5%
|
| 834 | Mobile plant operators | 1 |
0.1%
|
| 835 | Ships' deck crews and related workers | 1 |
0.1%
|
| 911 | Domestic, hotel and office cleaners and helpers | 15 |
1.4%
|
| 912 | Vehicle, window, laundry and other hand cleaning workers | 4 |
0.4%
|
| 921 | Agricultural, forestry and fishery labourers | 62 |
5.7%
|
| 931 | Mining and construction labourers | 13 |
1.2%
|
| 932 | Manufacturing labourers | 10 |
0.9%
|
| 933 | Transport and storage labourers | 13 |
1.2%
|
| 941 | Food preparation assistants | 4 |
0.4%
|
| 951 | Street and related service workers | 2 |
0.2%
|
| 952 | Street vendors (excluding food) | 3 |
0.3%
|
| 961 | Refuse workers | 11 |
1%
|
| 962 | Other elementary workers | 12 |
1.1%
|
| Sysmiss | 38171 |
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.