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    Home / Central Data Catalog / DATAFIRST / ZAF_2004_AIFS_V01_M / variable [F7]
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Agincourt Integrated Family Survey 2004

South Africa, 2004 - 2005
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Reference ID
ZAF_2004_AIFS_v01_M
Producer(s)
Professor Anne Case
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 27, 2012
Last modified
May 05, 2014
Page views
57636
Downloads
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • agincourt_2004_ad_200906
  • agincourt2004_ch_200906
  • agincourt2004_hh_comrd_200906
  • agincourt2004_hh_died_200906
  • agincourt2004_hh_h_200906
  • agincourt2004_hh_moved_200906
  • agincourt2004_hh_mrd_200906
  • agincourt2004_hh_p_pinc_200906

Occupation for most of working life (OA_work_desc)

Data file: agincourt_2004_ad_200906

Overview

Valid: 154
Type: Discrete
Start: 421
End: 501
Width: 81
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Assistant Brick layer 1
0.6%
Baasboy (supervisor ) at gold mine 1
0.6%
Baby-sitter 1
0.6%
Bonding poles 1
0.6%
Bonding trees 1
0.6%
Box maker 1
0.6%
Brick layer 2
1.3%
Building Government water reservores 1
0.6%
Butcher man 1
0.6%
Carpenter 3
1.9%
Cashier 1
0.6%
Cattle herder 1
0.6%
Cement mixed in building construction 1
0.6%
Chief 1
0.6%
Civil servant (dept of roads) 1
0.6%
Cleaner 4
2.6%
Cleaner (domestic worker) 1
0.6%
Cleaner at school in Mozambique 1
0.6%
Clerk 1
0.6%
Coal loader operator 1
0.6%
Construction labourer 1
0.6%
Cultivator 2
1.3%
Cutting sisals 1
0.6%
Cutting sugar cane 1
0.6%
Cutting thatch 1
0.6%
Cutting trees and grass 1
0.6%
Digging the pipeline 1
0.6%
Domestic Worker 1
0.6%
Domestic worker 2
1.3%
Domestic worker (Mozambique) 1
0.6%
Driver 1
0.6%
Driver and car mechanic 1
0.6%
Engine operators (Supervisor) 1
0.6%
Farm labour 1
0.6%
Farm labourer 21
13.6%
Farm labourer (Ploughing and Cultivating beans) 1
0.6%
Farm labourer at Lisbon watering plants 1
0.6%
Farm worker 1
0.6%
Farm worker (picking oranges) 1
0.6%
Fashion Designer 1
0.6%
Gardener 2
1.3%
General farm worker (timber plantation) 1
0.6%
Gold mine Labourer 1
0.6%
Government labourer at the Department of Agriculture 1
0.6%
Grass and tree cutter 1
0.6%
Grinding iron in a factory 1
0.6%
Harvesting Banana 1
0.6%
Harvesting oranges 1
0.6%
Harvesting peanuts 1
0.6%
Harvesting sisals 1
0.6%
House attendant (Cleaner) 1
0.6%
House keeper 4
2.6%
Housekeeper at Skukuza 1
0.6%
Kitchen boy 1
0.6%
Kitchen girl 1
0.6%
Labour at a Government (surveying site for allocating people sites by government) 1
0.6%
Labourer (Water affairs) 1
0.6%
Labourer (cutting sisal) on Govt-sector 1
0.6%
Labourer at Department of works, Road Construction 1
0.6%
Labourer in Department of Agriculture 1
0.6%
Labourer in a mine 2
1.3%
Labourer in the Department of Agriculture 1
0.6%
Locco Driver in a mine 1
0.6%
Machine operator 2
1.3%
Maintenance 1
0.6%
Maintenance in sabi sabi game lodge 1
0.6%
Making Bricks 1
0.6%
Mine labour 1
0.6%
Mine labourer 1
0.6%
Mine worker 4
2.6%
Miner 2
1.3%
Miner ( Machine Operator) 1
0.6%
Miner (supervisor) 1
0.6%
Miner worker 3
1.9%
Mining labour 1
0.6%
Motor mechanic 1
0.6%
Municipality Labour 1
0.6%
Orange packer 1
0.6%
Packing timbers in saw mill 1
0.6%
Picker of beans, paw paw 1
0.6%
Picking mangoes in Lisbon 1
0.6%
Planting banana's tree 1
0.6%
Planting vegetables 1
0.6%
Police man 1
0.6%
Product irrigetor 1
0.6%
Pruning fruit trees in lisbon 1
0.6%
Public works( Maintenance) 1
0.6%
Railway line maker 1
0.6%
Security 1
0.6%
Security guard 2
1.3%
Security guard in camp 1
0.6%
Security officer 2
1.3%
Security officer in a farm 1
0.6%
Selling peanut 1
0.6%
Selling second hand clothes 1
0.6%
Shop assistant 1
0.6%
Steel cutting 1
0.6%
Steel maker at Iscor 1
0.6%
Supervisor in a camp 1
0.6%
Supervisor in a farm 1
0.6%
Supervisor in cleaning aeroplanes 1
0.6%
Tractor drivers 1
0.6%
Traditional healer 1
0.6%
Truck driver 1
0.6%
Truck driver in Colgate company 1
0.6%
Truck mechanic 1
0.6%
Waiter in Shangaane cultural village 1
0.6%
Watchman 1
0.6%
Watering plants in Lisbon (farm worker) 1
0.6%
Weeds removing in plantations 1
0.6%
Welder 2
1.3%
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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