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    Home / Central Data Catalog / DATAFIRST / ZAF_2002-2005_KIFS_V01_M / Data Dictionary / F3 / V699
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Khayelitsha Integrated Family Survey 2002-2005

South Africa, 2002 - 2005
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Reference ID
ZAF_2002-2005_KIFS_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 01, 2014
Page views
140195
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  • Study Description
  • Data Description
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  • Data files
  • khay02030405_hh_p_pinc_spl_200906
  • khay05_ad_spl_200906
  • khay02030405_ad_200906
  • khay02030405_ch_200906
  • khay02030405_ch_spl_200906
  • khay02030405_hh_comrd_200906
  • khay02030405_hh_died_200906
  • khay02030405_hh_h_200906
  • khay02030405_hh_h_spl_200906
  • khay02030405_hh_moved_200906
  • khay02030405_hh_moved_spl_200906
  • khay02030405_hh_mrd_200906
  • khay02030405_hh_p_pinc_200906

Father's regular-pay occupation (chldhdhh_dadjob_desc)

Data file: khay02030405_ad_200906

Overview

Valid: 991
Type: Discrete
Start: 3177
End: 3243
Width: 67
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
. 341
34.4%
Build houses 1
0.1%
Building contractor 1
0.1%
Butchery worker 1
0.1%
Butter factory in Paarden Eiland 1
0.1%
Cape Town docks 1
0.1%
Cape Town railway 1
0.1%
Caretaker 2
0.2%
Chef 1
0.1%
City councillor, Pinelands 1
0.1%
Coal worker 1
0.1%
Construction 1
0.1%
Council worker 1
0.1%
Dairy, Deliver milk 1
0.1%
De Beers 1
0.1%
De Beers company but she doent know what he was doing 1
0.1%
Docks foreman 1
0.1%
Don't know 1
0.1%
Driver 1
0.1%
Driver - she does not know the company name 1
0.1%
Eskom ( electrician ) 1
0.1%
Eskom driver 1
0.1%
Farm worker 2
0.2%
Farmer 1
0.1%
Fedility guard 1
0.1%
Fisheries 2
0.2%
Frasers wholesale merchandiser 1
0.1%
Furniture shop (cleaner) 1
0.1%
Furniture shop cleaner 1
0.1%
Garden cleaner 1
0.1%
He died when she was very young. 1
0.1%
He have livestock 1
0.1%
He look after the cattle 1
0.1%
I & J, Labourer 1
0.1%
Interpark clerk 2
0.2%
Labour 1
0.1%
Labour, farm worker 1
0.1%
Labourer 2
0.2%
Machinery, labour 1
0.1%
Miling company 1
0.1%
Mine worker 3
0.3%
Mineworker 2
0.2%
Municipal worker 1
0.1%
Nedbank, he was not whether he was a cleaner or messenger 1
0.1%
Pick'n Pay driver 1
0.1%
Process worker - Transnek Co. 1
0.1%
Riven contract, building houses 1
0.1%
Salesman 1
0.1%
Security 2
0.2%
Security guard 2
0.2%
Security in Umtata in Eastern Cape 1
0.1%
Security officer 1
0.1%
She does not know 1
0.1%
Shelf packer (shop) 1
0.1%
Teba, preparing food for mine workers 1
0.1%
Telkom - underground cables 1
0.1%
Truck driver 1
0.1%
abbaitoir/ slaughter sheep 1
0.1%
abbattoir 1
0.1%
animal healer 1
0.1%
bakery 1
0.1%
because was very young that time 1
0.1%
boiler 4
0.4%
boiler at the factory 1
0.1%
bomann machine operator 1
0.1%
bottlestore packer 1
0.1%
brick layer 3
0.3%
brick maker 1
0.1%
brick making 1
0.1%
bricklayer 3
0.3%
builder 2
0.2%
builder and carpenter 1
0.1%
building roads 1
0.1%
bus driver 1
0.1%
buscuits baker 1
0.1%
businessman 1
0.1%
butchery 1
0.1%
can't remember 1
0.1%
can't remember his occupation 1
0.1%
car mechanic 1
0.1%
car washer 1
0.1%
care taker 1
0.1%
caretaker 2
0.2%
caretaker at some flats in Parow 1
0.1%
caretaker at the flats 1
0.1%
carpenter 5
0.5%
carpentry 2
0.2%
checker in a dairy 1
0.1%
cheeker in dairy 1
0.1%
chef 1
0.1%
chef in hotel 1
0.1%
chef in railway department 1
0.1%
city tramway welder 1
0.1%
cleaner 5
0.5%
clearner 1
0.1%
clerical job 1
0.1%
concor contract plaster 1
0.1%
constraction 2
0.2%
construction 7
0.7%
construction builder 2
0.2%
construction worker 3
0.3%
constructor 2
0.2%
contract 3
0.3%
contract building 1
0.1%
contract building houses 1
0.1%
contract labourer 2
0.2%
contraction 1
0.1%
contractor digholes 1
0.1%
cook 1
0.1%
cooker at the company 1
0.1%
cooking in a kitchen 1
0.1%
council worker 1
0.1%
crane driver 1
0.1%
dairy belle 1
0.1%
dairy belle driver 1
0.1%
delivery 2
0.2%
delivery man 1
0.1%
department of education 1
0.1%
do not know 1
0.1%
docksen cleaner 1
0.1%
docsini 1
0.1%
does not know 4
0.4%
doesn't know 2
0.2%
domestic worker 2
0.2%
don't know 14
1.4%
don't know his occupation 1
0.1%
don't now 1
0.1%
don’t know 1
0.1%
dreiver 1
0.1%
driver 15
1.5%
driver and headman in rural area 1
0.1%
driver at Clifford and Harris copm. 1
0.1%
driver at a company 1
0.1%
driver at a dairy factory 1
0.1%
driver at citrus fruit 2
0.2%
driver domestic 1
0.1%
driver for a private company 1
0.1%
driver private company 1
0.1%
driver, Trador 1
0.1%
driver, at a fabric factory 1
0.1%
driver, municipality 1
0.1%
driver, tractor 1
0.1%
driving ambulance 1
0.1%
driving trucks 1
0.1%
easy pool labour 1
0.1%
electrician 1
0.1%
eletrician 1
0.1%
engineering in factory 1
0.1%
epic 1
0.1%
equity manager 2
0.2%
factory 1
0.1%
factory for fish 1
0.1%
factory for leathers 1
0.1%
factory for sweets 1
0.1%
factory of eggs 1
0.1%
factory worker 1
0.1%
farm owner 1
0.1%
farm supply ( leather ) doing saddle and bag belts 1
0.1%
farm worker 17
1.7%
farm worker but he was not contributing 1
0.1%
farm worker in Heilderberg 1
0.1%
farm worker, labour 1
0.1%
farmer 5
0.5%
farmer looking after catlle 1
0.1%
farmer worker 1
0.1%
farmer, garden 1
0.1%
farming 1
0.1%
father was a sangoma and have live stock 1
0.1%
field worker on farm 1
0.1%
fire brigate, Cape Town 1
0.1%
firm in Johannesburg 1
0.1%
firm labour 1
0.1%
fisherman 6
0.6%
garage mechanic 1
0.1%
garage petrol attendant 1
0.1%
garden boy 1
0.1%
garden worker 1
0.1%
gardener 3
0.3%
gardening 2
0.2%
gardner 2
0.2%
general labour 2
0.2%
general worker 7
0.7%
general worker at Rex company 1
0.1%
general worker at Rex trueform 1
0.1%
general worker at a company 1
0.1%
general worker in a company 1
0.1%
general worker in acompany 1
0.1%
general worker, Samwill 2
0.2%
gold mines 1
0.1%
growing own food at home 1
0.1%
hardware 1
0.1%
he doe not know 1
0.1%
he does not know 3
0.3%
he doesn’t know 1
0.1%
he was a builder 2
0.2%
he was a builder of houses 1
0.1%
he was a factory worker 1
0.1%
he was a magistrate in Umtata 1
0.1%
he was in factory does not know his occupation 1
0.1%
he was mine worker 1
0.1%
he was the farmer for food 1
0.1%
he was the sorter in SA metals 1
0.1%
he was working in a farm 1
0.1%
he was working in butchery 1
0.1%
he was working in farm in gardening 1
0.1%
hea was working in UWC (University of Western Cape) 1
0.1%
her father died while her mother was still pregnant 1
0.1%
herbalist 1
0.1%
his father had a livestock 1
0.1%
hotel 1
0.1%
housepainter 1
0.1%
in winelands 1
0.1%
informal farmer 1
0.1%
interpritor, lawyer 1
0.1%
kitchen chef in railway line in Bloemfontein 1
0.1%
labour 34
3.4%
labour ( at glucose )2 1
0.1%
labour ( contract ) 2
0.2%
labour W.J.M construction 1
0.1%
labour at a dairy milk 1
0.1%
labour contract 1
0.1%
labour railways 1
0.1%
labour, building houses 1
0.1%
labour, city council 1
0.1%
labour, consani 1
0.1%
labour, construction 1
0.1%
labour, council 1
0.1%
labour, in farm 1
0.1%
labour, in train way buses 1
0.1%
labour, on farm 2
0.2%
labour, railway 1
0.1%
labour, sasko 1
0.1%
labour, she doesn’t know the company 1
0.1%
labour, work on shop 1
0.1%
labourer 16
1.6%
labourer in a company 1
0.1%
labourer in steel factory 2
0.2%
labourer, construction 3
0.3%
machenic 1
0.1%
machine operator in a company 1
0.1%
maintanance handy man 1
0.1%
making tar road 2
0.2%
male nurse 1
0.1%
manager in wholesale 1
0.1%
manager, private hotel 1
0.1%
mechanic 2
0.2%
mechanic in the company 1
0.1%
metrorail worker ( general ) 1
0.1%
milking cows in the farm 1
0.1%
mine industry 1
0.1%
mine work 1
0.1%
mine worker 53
5.3%
mine worker as labourer 2
0.2%
mine worker, gold mines 1
0.1%
mine workers 1
0.1%
mines 1
0.1%
mineworker 29
2.9%
mineworker in Vaal Reefs 1
0.1%
minicipality 1
0.1%
mining 1
0.1%
mining industry 4
0.4%
motor mechanic 1
0.1%
municipality ( working in road ) 1
0.1%
municipality cleaner 1
0.1%
municipality clearner 1
0.1%
municipality, was making roads 1
0.1%
navy 2
0.2%
nestle 1
0.1%
never saw her father 2
0.2%
never see him 1
0.1%
old age home 1
0.1%
old mutual insurance company 1
0.1%
operator, machines to dig dams 1
0.1%
packer 1
0.1%
packer, wholesaler 1
0.1%
packing goods at railway station 1
0.1%
painting 1
0.1%
painting company 1
0.1%
panel beater 1
0.1%
parents passed away 1
0.1%
passed away 1
0.1%
payots biscuits baker 1
0.1%
personnel officer 1
0.1%
petrol attendance 1
0.1%
petrol attendant 3
0.3%
petrol attendence 1
0.1%
petrol attendent 1
0.1%
petrol attender 2
0.2%
plaster 1
0.1%
plumber 3
0.3%
police 1
0.1%
police, but he was not contributing 1
0.1%
policeman 2
0.2%
potter 1
0.1%
premier wire upholster 1
0.1%
process job work using tools 1
0.1%
public works in mine worker 1
0.1%
put up cables, eskom 1
0.1%
quality controller in Woolworths 1
0.1%
rails station 1
0.1%
railway 3
0.3%
railway labour 1
0.1%
railway worker 3
0.3%
railway worker, but not know specific work 1
0.1%
railway, they were making trail rail 1
0.1%
rainbow cleaner 1
0.1%
rainger 1
0.1%
repair lifts 1
0.1%
resturant 1
0.1%
road construction worker 1
0.1%
roafing 1
0.1%
salt pan 1
0.1%
school caretaker 1
0.1%
security 7
0.7%
security at Queenstown hospital 1
0.1%
security guard 3
0.3%
security officer 1
0.1%
self employed, selling meat 1
0.1%
selling milk 1
0.1%
sewing 1
0.1%
sh doesnot know 1
0.1%
she does not know 2
0.2%
she does not knowat type of job he was doing 1
0.1%
she doesn not know 1
0.1%
shutterproof 1
0.1%
steel 1
0.1%
storeman 2
0.2%
storeman in afood warehouse 2
0.2%
supervisor 1
0.1%
taxi driver 4
0.4%
taxi owner 4
0.4%
tea boy, LTA 1
0.1%
tea maker 2
0.2%
teacher 4
0.4%
they grow their own food 1
0.1%
ticket examiner, railway 1
0.1%
tractor driver 1
0.1%
training officer 1
0.1%
truck driver 6
0.6%
truck driver & also a packer at the wholesalers 1
0.1%
umchebi weegusha 1
0.1%
was working at Dairy Belle 1
0.1%
was working at ford company 1
0.1%
was working at the dairy 1
0.1%
was working at the pine factory was manufacturing tinned pine-apple 1
0.1%
welder 1
0.1%
wholesale packer 1
0.1%
window cleaner 3
0.3%
work at butchery 1
0.1%
work with pipe 1
0.1%
working at an abbottoir 1
0.1%
working at dock as a labour 1
0.1%
working for municipality 1
0.1%
working with farm ( potato ) 1
0.1%
working with roll of wires 1
0.1%
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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