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    Home / Central Data Catalog / ZAF_2000_KMP_V01_M / variable [F3]
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Khayelitsha Mitchell's Plain Survey 2000

South Africa, 2000
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Reference ID
ZAF_2000_KMP_v01_M
Producer(s)
Southern Africa Labour and Development Research Unit
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
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73344
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  • kmp2000hhld_7
  • kmp2000adult_15
  • kmp2000merged

C.44.1. If your mother was in regular wage-employment -what kind of work do? (c44_1)

Data file: kmp2000merged

Overview

Valid: 193
Type: Discrete
Start: 2868
End: 2947
Width: 80
Format:

Questions and instructions

Categories
Value Category
CLEANER
CLEANER @ HOSPITAL
CLOTHING FACTORY EXAMINER
COOK IN RESTAURANT
Cleaning, ironing and cooking
Clinic
Clothing factory - Quality controller
DOING WASHING FOR PEOPLE IN THE LOCATION
DOMESTIC
DOMESTIC WORKER
DON'T KNOW
Doing washing, ironing and cooking
Domestic Work
Domestic Worker
Domestic worker
FACTORY WORKER
FARM LABOURER
FARM WORKER
Factory shop
Farm worker - harvests fruits
HOTEL CATERING AND PREPARING ACCOMODATION
HOUSEWIFE
Her mother work's as a domestic worker
House wife
Houseman
Housewife
Kitchen cleaning, washing and ironing.
MATERNITY NURSE
MEAT MARKET, SELLING MEAT
Machinist
Machinist in a factory
NURSING SISTER
Not sure
Nurse
Nurses aid. Looked after aged at a convent.
Private house; cleaning, ironing and cooking
RESTAURANT - KITCHEN WORKER
RHODES UNIVERSITY - CLEANER
SCHOOL CARETAKER
SHOE FACTORY - SUPERVISOR
SHOP ASSISTANT
SUPERVISOR - I & J FISH FACTORY
Sewing clothers
She was a cleaner
She was a domestic worker
She was a labourer - cleaning and packing
She was a packer
She was working as a domestic worker.
She worked as a cleaner of house of her boss.
She worked as a domestic worker
Sprayed chairs on a workshop floor in Queenstown.
Teacher
WAITRESS AND STEWARDESS AT HOTEL
Worked as a cleaner, making tea for staff.
cannot remember
cannot remember the details
cleaner
cleaner a jordan shoes
cleaner in houses
cleaner/tea girl
cleaning bosses house
clothing factory
clothing factory examiner of finished clothes
cook at groote schuur hospital
cooker at the college
cooking in resturent
do not know
domestic
domestic duteis of cooking and cleaning
domestic duties
domestic services
domestic servides
domestic work
domestic worker
domestic worker, cleaning and ironing
domestic worker,cleaning cooking ettc
domesttic duties of cooking & cleaning oher households
don't know
factory work material cutttter
factory worker
fisheries, selling fish
fring fish and chips for the take away
hotel
house
house keeper and house cleaner
house wife
kitchen char
knitting and sewing
knitting jerseys' in a factory
knitting the jerseys for the sale in a factory shop
laundry work
machanic at clothingf factory
machine operator in a factory
machine operator in the textile factory
machinis at clotthing factory
making juice
never worked
nurse
nursing
nursing home
old age home worker,looking aftterbold whittebmen and women feeding and washing
petrol attendant
pharmacy
picking grapes
private home worker
she was a domestic worker, cooking ,ironing ,washing and childminding
she was a cleaner att the hospital cleaning dirty
she was a cleaning and cooking domestic worker
she was a domestic worker,washing ,ironiing,cleaning tthe house and childminding
she was a domesttic servant for a white person att benoni (JHB) .she was doing l
she was a domesttic worker,washing ,ironing,cooking and cleaning
she was a servant in aresturant
she was domesttic servant att Vanzyl sttreett ,att De-aar .she was cooking ,clea
she was working at corrobrick firm and they were making bricks att grahamsttown
she was working at ttip-top botttle store at sttuterheim and she was a customer
she was working in the cecilia makhiwane hospital cooking for patients
she worked as cleaner in offices
ttrainer in a factory
waitress
worked as domestic worker
working as a domestic worker
working asa cleaner
working asa cleaner ina company
working at the college in the kitchen cooking ,cleaning and preparing food
working in a firm making clothes
working in a kittcen on a farm
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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