Migrant Health Follow-Up Study Wave 02 (MHFUS)
South Africa, 2019 - 2020
Get Microdata
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
Created on
Jan 13, 2026
Last modified
Jan 20, 2026
Page views
2970
- Data files
- MHFUS_W2_DATASET
W2_h01_occ (W2_h01_occ)
Data file: MHFUS_W2_DATASET
Overview
Valid:
2028
Invalid:
0
Type:
Discrete
Width:
52
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Art, craft, photography, fashion design | 1 |
0%
|
|
| Artisan (e.g. carpenter, wood carver, weaver) | 10 |
0.5%
|
|
| Cattle herder | 1 |
0%
|
|
| Cleaning work | 41 |
2%
|
|
| Clerical and office work | 13 |
0.6%
|
|
| Construction work | 71 |
3.5%
|
|
| Cook/ chef/ catering | 21 |
1%
|
|
| Domestic work | 30 |
1.5%
|
|
| Dont know | 32 |
1.6%
|
|
| Driver | 39 |
1.9%
|
|
| Farm work | 17 |
0.8%
|
|
| Fieldworker - NGO or university | 1 |
0%
|
|
| Game farm/game reserve (e.g. ranger) | 47 |
2.3%
|
|
| Gardening services | 3 |
0.1%
|
|
| Health sector (formal) | 24 |
1.2%
|
|
| Informal selling | 1 |
0%
|
|
| Mine work | 58 |
2.9%
|
|
| None/Unemployed (do not receive social grant) | 753 |
37.1%
|
|
| None/Unemployed (receive social grant) | 485 |
23.9%
|
|
| Other | 51 |
2.5%
|
|
| Petrol attendant | 2 |
0.1%
|
|
| Police, soldier, fireman | 8 |
0.4%
|
|
| Priest/pastor | 1 |
0%
|
|
| Retail/clerk/sales | 55 |
2.7%
|
|
| Security work | 42 |
2.1%
|
|
| Senior administrator, manager, professional | 33 |
1.6%
|
|
| Sewing, hairdressing, baking, brewing | 4 |
0.2%
|
|
| Skilled worker (e.g. plumber, mechanic, electrician) | 59 |
2.9%
|
|
| Small business assistant | 4 |
0.2%
|
|
| Small business owner | 40 |
2%
|
|
| Student | 14 |
0.7%
|
|
| Teacher | 15 |
0.7%
|
|
| Timber, sawmill, poles | 3 |
0.1%
|
|
| Traditional healer | 4 |
0.2%
|
|
| Unskilled worker (e.g. general labourer) | 39 |
1.9%
|
|
| Waiter/ barman | 6 |
0.3%
|
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.