Mesebetsi Labour Force Survey 1999-2000
South Africa, 1999 - 2000
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Reference ID
zaf-fafo-mlfs-1999-2000-v1
Producer(s)
Norwegian Institute for Applied Social Science (Fafo), South African Department of Labour
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Metadata
Created on
Feb 11, 2013
Last modified
Apr 23, 2020
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occupation in last job (3-digit) (g3)
Data file: Mesebetsi LFS1999-2000 RSI_v1
Overview
Valid:
2860
Invalid:
7920
Type:
Discrete
Decimal:
0
loc_start_pos:
111
loc_end_pos:
113
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | armed forces | 3 |
0.1%
|
| 112 | legislators / senior government officials | 1 |
0%
|
| 113 | traditional chiefs and heads of villages | 0 |
0%
|
| 114 | senior officials of special-interest organisations | 0 |
0%
|
| 121 | directors and chief executives | 4 |
0.1%
|
| 122 | production and operations department managers | 2 |
0.1%
|
| 123 | other department managers | 7 |
0.2%
|
| 131 | general managers | 81 |
2.8%
|
| 210 | physical, maths and engineering professionals | 0 |
0%
|
| 211 | physicists, chemists professionals | 2 |
0.1%
|
| 212 | mathematicians, statisticians professionals | 0 |
0%
|
| 213 | computing professionals | 2 |
0.1%
|
| 214 | architects, engineers professionals | 7 |
0.2%
|
| 221 | life science professionals | 2 |
0.1%
|
| 222 | health professionals (except nursing) | 2 |
0.1%
|
| 223 | nursing and midwifery professionals | 11 |
0.4%
|
| 230 | teaching professionals | 0 |
0%
|
| 231 | college, university and higher teaching professionals | 3 |
0.1%
|
| 232 | secondary education teaching professionals | 10 |
0.3%
|
| 233 | primary and pre-primary teaching professionals | 22 |
0.8%
|
| 234 | special education teaching professionals | 0 |
0%
|
| 235 | other teaching professionals | 4 |
0.1%
|
| 241 | business professionals | 13 |
0.5%
|
| 242 | legal professionals | 1 |
0%
|
| 243 | archivists, librarians information professionals | 0 |
0%
|
| 244 | social science professionals | 4 |
0.1%
|
| 245 | writers and creative or performing artists | 1 |
0%
|
| 246 | religious professionals | 0 |
0%
|
| 247 | public service administrative professionals | 0 |
0%
|
| 311 | physical and engineering science technicians | 13 |
0.5%
|
| 312 | computer associate professionals | 2 |
0.1%
|
| 313 | optical and electronic equipment operators | 1 |
0%
|
| 314 | ship and aircraft controllers and technicians | 2 |
0.1%
|
| 315 | safety and quality inspectors | 9 |
0.3%
|
| 320 | life science and health associate professionals | 0 |
0%
|
| 321 | life science technicians associate professional | 2 |
0.1%
|
| 322 | health associate professionals (except nursing) | 4 |
0.1%
|
| 323 | nursing and midwifery associate professionals | 16 |
0.6%
|
| 324 | traditional medicine practitioners and faith healers | 2 |
0.1%
|
| 330 | teaching assoc professionals (grade unspecified) | 0 |
0%
|
| 331 | primary education teaching associate professionals | 4 |
0.1%
|
| 332 | pre-primary education associate proffessionals | 1 |
0%
|
| 333 | special education teaching associate professionals | 3 |
0.1%
|
| 334 | other teaching associate professionals | 3 |
0.1%
|
| 341 | finance and sales associate professionals | 9 |
0.3%
|
| 342 | business services agents and trade brokers | 3 |
0.1%
|
| 343 | administrative associate professionals | 7 |
0.2%
|
| 344 | customs, tax government associate professionals | 0 |
0%
|
| 345 | police inspectors and detectives | 4 |
0.1%
|
| 346 | social work associate professionals | 0 |
0%
|
| 347 | artistic, entertainment and sports professionals | 6 |
0.2%
|
| 348 | religious associate professionals | 0 |
0%
|
| 411 | secretaries and keyboard-operating clerks | 50 |
1.7%
|
| 412 | numerical clerks | 23 |
0.8%
|
| 413 | material-recording and transport clerks | 28 |
1%
|
| 414 | library, mail clerks | 17 |
0.6%
|
| 419 | other office clerks | 43 |
1.5%
|
| 420 | customer services clerks (unspecified) | 0 |
0%
|
| 421 | cashiers, tellers clerks | 80 |
2.8%
|
| 422 | client information clerks | 20 |
0.7%
|
| 511 | travel attendants workers | 3 |
0.1%
|
| 512 | housekeeping and restaurant services workers | 77 |
2.7%
|
| 513 | personal care workers | 20 |
0.7%
|
| 514 | other personal services workers | 10 |
0.3%
|
| 515 | astrologers, fortune tellers and related workers | 0 |
0%
|
| 516 | protective services workers | 41 |
1.4%
|
| 520 | models, salespersons and demonstrators (unspecified) | 0 |
0%
|
| 521 | fashion and other models | 3 |
0.1%
|
| 522 | shop, stall and market salespersons | 122 |
4.3%
|
| 523 | 0 |
0%
|
|
| 610 | skilled agricultural and fishery workers | 0 |
0%
|
| 611 | market gardeners and crop growers | 26 |
0.9%
|
| 612 | animal producers workers | 10 |
0.3%
|
| 613 | crop and animal producers | 1 |
0%
|
| 614 | forestry workers | 7 |
0.2%
|
| 615 | fishery workers, hunters and trappers | 1 |
0%
|
| 620 | subsistence agricultural and fishery workers | 0 |
0%
|
| 621 | subsistence agricultural and fishery workers | 63 |
2.2%
|
| 710 | extraction and building trades workers | 0 |
0%
|
| 711 | miners, shotfirers, stone cutters and carvers | 19 |
0.7%
|
| 712 | building frame trades workers | 85 |
3%
|
| 713 | building finishers trades workers | 19 |
0.7%
|
| 714 | painters, building structure cleaners trades workers | 22 |
0.8%
|
| 721 | metal moulders, welders, sheet-metal workers | 42 |
1.5%
|
| 722 | blacksmiths, tool-makers trades workers | 14 |
0.5%
|
| 723 | machinery mechanics and fitters | 19 |
0.7%
|
| 724 | electrical and electronic equipment mechanics and fitters | 37 |
1.3%
|
| 731 | precision workers in metal materials | 1 |
0%
|
| 732 | potters, glass-makers trades workers | 6 |
0.2%
|
| 733 | handicraft workers in wood, textile, leather materials | 2 |
0.1%
|
| 734 | craft printing trades workers | 5 |
0.2%
|
| 741 | food processing trades workers | 30 |
1%
|
| 742 | wood treaters, cabinet-makers trades workers | 4 |
0.1%
|
| 743 | textile, garment trades workers | 43 |
1.5%
|
| 744 | pelt, leather and shoemaking trades workers | 9 |
0.3%
|
| 810 | stationary plant operators | 0 |
0%
|
| 811 | mining and mineral-processing-plant operators | 14 |
0.5%
|
| 812 | metal-processing plant operators | 6 |
0.2%
|
| 813 | glass, ceramics plant operators | 3 |
0.1%
|
| 814 | wood-processing- and papermaking-plant operators | 4 |
0.1%
|
| 815 | chemical-processing-plant operators | 2 |
0.1%
|
| 816 | power-production plant operators | 14 |
0.5%
|
| 817 | industrial robot operators | 0 |
0%
|
| 820 | machine operators and assemblers | 0 |
0%
|
| 821 | metal- and mineral-products machine operators | 12 |
0.4%
|
| 822 | chemical-products machine operators | 5 |
0.2%
|
| 823 | rubber- and plastic-products machine operators | 7 |
0.2%
|
| 824 | wood-products machine operators | 3 |
0.1%
|
| 825 | printing-, binding- and paper-products machine operators | 6 |
0.2%
|
| 826 | textile-, fur- and leather-products machine operators | 46 |
1.6%
|
| 827 | food products machine operators | 13 |
0.5%
|
| 828 | assemblers | 5 |
0.2%
|
| 829 | other machine operators not elsewhere classified | 11 |
0.4%
|
| 831 | locomotive engine drivers workers | 12 |
0.4%
|
| 832 | motor vehicle drivers | 113 |
4%
|
| 833 | agricultural and other mobile plant operators | 42 |
1.5%
|
| 834 | ships deck crews workers | 0 |
0%
|
| 910 | sales and services elementary occupations | 1 |
0%
|
| 911 | street vendors workers | 42 |
1.5%
|
| 912 | shoe cleaning and other street services occupations | 4 |
0.1%
|
| 913 | domestic helpers, cleaners and launderers | 828 |
29%
|
| 914 | building caretakers, window cleaners | 12 |
0.4%
|
| 915 | messengers, porters, doorkeepers workers | 27 |
0.9%
|
| 916 | garbage collectors labourers | 9 |
0.3%
|
| 920 | agricultural, fishery labourers | 0 |
0%
|
| 921 | agricultural, fishery labourers | 124 |
4.3%
|
| 930 | labourers in mining, manufacturing and transport | 1 |
0%
|
| 931 | mining and construction labourers | 104 |
3.6%
|
| 932 | manufacturing labourers | 103 |
3.6%
|
| 933 | transport labourers and freight handlers | 12 |
0.4%
|
| 999 | dont know/ refuse | 0 |
0%
|
| Sysmiss | 7920 |
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.