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    Home / Central Data Catalog / MHFUS.W2.2025 / variable [V14]
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Migrant Health Follow-Up Study Wave 02 (MHFUS)

South Africa, 2019 - 2020
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Reference ID
MHFUS.W2.2025
Producer(s)
Prof. Michael J White, Dr. Carren Ginsburg, Prof. Mark Collinson, Prof F. Xavier Gómez-Olivé, Prof. Steve Tollman
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 13, 2026
Last modified
Jan 20, 2026
Page views
2831
  • Study Description
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  • MHFUS_W2_DATASET

W2_emp_type2 (W2_emp_type2)

Data file: MHFUS_W2_DATASET

Overview

Valid: 163
Invalid: 0
Type: Discrete
Width: 40
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Admin clerk 1
0.6%
Administration 1
0.6%
Assistance in electrical 1
0.6%
Auditor 1
0.6%
Bakery 1
0.6%
Bank teller 2
1.2%
Beauty therapist 3
1.8%
Blushing penda 1
0.6%
Boiler maker 1
0.6%
Buker 1
0.6%
CWP 3
1.8%
Call centre 1
0.6%
Car Mechanic 1
0.6%
Car wash 2
1.2%
Care giver 1
0.6%
Caregiver 2
1.2%
Carwash 1
0.6%
Cashier 3
1.8%
Childcare 1
0.6%
Chreche 1
0.6%
Civil engineering 1
0.6%
Cleaning steels 1
0.6%
Community outreach 1
0.6%
Concrete 1
0.6%
Cooking at school 1
0.6%
Crew escort 1
0.6%
Data scientist 2
1.2%
Dimond drilling 1
0.6%
Engineering 2
1.2%
Fan load operator 1
0.6%
Field ranger 1
0.6%
Fieldwork 2
1.2%
Financial accountant 1
0.6%
Fire fighter 1
0.6%
Firm work 1
0.6%
Food and beverage 1
0.6%
Food handler 1
0.6%
Foreman assistant 1
0.6%
Forklift operator 2
1.2%
Fundraiser at Savana home basecare 1
0.6%
Guest House 2
1.2%
Hair dresser 2
1.2%
Host manager 1
0.6%
House keeper 3
1.8%
Housekeeping 1
0.6%
Human Resource internship 1
0.6%
IT 2
1.2%
IT Specialist 1
0.6%
IT Technician 1
0.6%
IT specialist 1
0.6%
In skilled mechanic 1
0.6%
Ingeneering 1
0.6%
Internal control 1
0.6%
Internship 2
1.2%
It 1
0.6%
Jeweller 1
0.6%
Journalism 1
0.6%
Laundry 3
1.8%
Law enforcement officer 1
0.6%
Leadership 1
0.6%
Learnership 1
0.6%
Learnership (game farm ranger) 1
0.6%
Learnership (plumbing) 1
0.6%
Learnership program 1
0.6%
Lecture 1
0.6%
Legal assistant 1
0.6%
Loan shak 1
0.6%
Logistics 2
1.2%
Machine operator 2
1.2%
Maintenance 6
3.7%
Making collumns 1
0.6%
Manager 1
0.6%
Marketing 1
0.6%
Mechanical engineering 1
0.6%
Monitoring team at taxi industry 1
0.6%
Municipality 1
0.6%
Nanny 1
0.6%
Operater 1
0.6%
Operatior 1
0.6%
Operator 4
2.5%
Operator at mine 1
0.6%
Own transport company 1
0.6%
Packer 1
0.6%
Packing logs 1
0.6%
Painting 2
1.2%
Penal beater 1
0.6%
Photographer 1
0.6%
Picker 1
0.6%
Plastic packaging 1
0.6%
Plumbing 1
0.6%
Police 1
0.6%
Probation officer 1
0.6%
Process controller 1
0.6%
Project manager at eskom 1
0.6%
Rand water 1
0.6%
Receptionist 4
2.5%
Refuse to answer 1
0.6%
Refused to answer 1
0.6%
Reinforcing 1
0.6%
Research and development 1
0.6%
Restaurant 1
0.6%
Riger (Vodacom and MTN) 1
0.6%
Safety officer 1
0.6%
Sandlatersin 1
0.6%
Scaffolding 1
0.6%
Scalery assistant 1
0.6%
Scanner 1
0.6%
Self controller 1
0.6%
Selling firewood 1
0.6%
Social development 1
0.6%
Social worker 2
1.2%
Supervisor 1
0.6%
Supervisor at pg glasses 1
0.6%
Supervisor at warehouse 1
0.6%
Tack shop 1
0.6%
Teacher at chreche 1
0.6%
Technician at eskom 1
0.6%
Telecommunication 1
0.6%
Warehouse 1
0.6%
Warehouse assistant 1
0.6%
Warehouse job 2
1.2%
Warehouse picker 1
0.6%
Water care technician 1
0.6%
Water proofing 1
0.6%
Woken for water 1
0.6%
house keeping, scallering or public area 1
0.6%
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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