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    Home / Data Portal / STATSSA / ZAF-STATSSA-SAYP-2010-V1.1 / variable [F2]
StatsSA

Survey of Activities of Young People 2010

South Africa, 2010
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Reference ID
zaf-statssa-sayp-2010-v1.1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 09, 2012
Last modified
Oct 08, 2020
Page views
42228
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  • sayp-2010-v1.1

Occupation (Q41Occupation)

Data file: sayp-2010-v1.1

Overview

Valid: 415
Invalid: 16957
Type: Discrete
Decimal: 2
Width: 8
Range: 1317 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1317 General managers of business services 1
0.2%
2452 Sculptors, painters and related artists 2
0.5%
2453 Composers, musicians and singers 1
0.2%
3121 Computer assistants 1
0.2%
3132 Broadcasting and telecommunications equipment operators 2
0.5%
3433 Bookkeepers 2
0.5%
3472 Radio, television and other announcers 1
0.2%
3475 Athletes, sportspersons and related associate professionals 1
0.2%
4131 Stock clerks 1
0.2%
4190 Other office clerks and clerks not elsewhere classified (except customer services clerks) 1
0.2%
4211 Cashiers and ticket clerks 3
0.7%
5122 Cooks 2
0.5%
5123 Waiters, waitresses and bartenders 4
1%
5141 Hairdressers, barbers, beauticians and related workers, Beauticians and Hairdressers 16
3.9%
5220 Shop salespersons and demonstrators, Salespersons, Petrol pump and filling station attendants 8
1.9%
5230 Stall and market salespersons 28
6.7%
5231 Child-care workers 3
0.7%
6141 Forestry workers and loggers, Forestry workers and Loggers 1
0.2%
6210 Subsistence agricultural and fishery workers 10
2.4%
6211 Subsistence farmers 7
1.7%
7122 Bricklayers and stonemasons (including apprentices/trainees) 1
0.2%
7124 Carpenters and joiners (including apprentices/trainees) 2
0.5%
7129 Building frame and related workers not elsewhere classified (including apprentices/trainees) 2
0.5%
7131 Roofers (including apprentices/trainees) 3
0.7%
7132 Floor layers and tile setters (including apprentices/trainees) 2
0.5%
7137 Building and related electricians (including apprentices/trainees) 1
0.2%
7141 Painters and related workers (including apprentices/trainees) 0
0%
7142 Varnishers and related painters (including apprentices/trainees) 1
0.2%
7212 Welders and flamecutters (including apprentices/trainees) 0
0%
7214 Structural-metal preparers and erectors (including apprentices/trainees) 1
0.2%
7231 Motor vehicle mechanics and fitters (including apprentices/trainees) 3
0.7%
7244 Telegraph and telephone installers and servicers (including apprentices/trainees) 3
0.7%
7313 Jewellery and precious-metal workers (including apprentices/trainees) 1
0.2%
7321 Abrasive wheel formers, potters and related workers (including apprentices/trainees) 1
0.2%
7411 Butchers, fishmongers and related food preparers (including apprentices/trainees) 3
0.7%
7412 Millers, bakers, pastry-cooks and confectionery makers (including apprentices/trainees) 3
0.7%
7433 Tailors, dressmakers and hatters (including apprentices/trainees) 1
0.2%
7490 Other craft and related trades workers not elsewhere classified (including apprentices/trainees) 1
0.2%
8324 Metal drawers and extruders 2
0.5%
9111 Street food vendors and related workers 129
31.1%
9112 Street vendors, non-food products 23
5.5%
9120 Shoe cleaning and other elementary street services occupations 21
5.1%
9131 Domestic helpers and cleaners 15
3.6%
9132 Helpers and cleaners in offices, hotels and other establishments 2
0.5%
9142 Vehicle, window and related cleaners 1
0.2%
9151 Messengers, package and luggage porters and deliverers 6
1.4%
9152 Doorkeepers, watchpersons and related workers 1
0.2%
9153 Vending-machine money collectors, meter readers and related workers 2
0.5%
9161 Garbage collectors 18
4.3%
9211 Farmhands and labourers 45
10.8%
9312 Construction and maintenance labourers: roads, dams and similar constructions 2
0.5%
9313 Building construction labourers 9
2.2%
9322 Hand-packers and other manufacturing labourers 9
2.2%
9332 Drivers of animal-drawn vehicles and machinery 1
0.2%
9333 Freight handlers 4
1%
9999 Unspecified 1
0.2%
Sysmiss 16957
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.
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