Khayelitsha Mitchell's Plain Survey 2000
South Africa, 2000
Get Microdata
Reference ID
ZAF_2000_KMP_v01_M
Producer(s)
Southern Africa Labour and Development Research Unit
Collection(s)
Metadata
Created on
Jan 27, 2012
Last modified
May 01, 2014
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- Data files
- kmp2000hhld_7
- kmp2000adult_15
- kmp2000merged
C.18.1. If wife/husband of the head was in regular employment, what kind of work (c18_1)
Data file: kmp2000adult_15
Overview
Valid:
804
Type:
Discrete
Start:
1510
End:
1589
Width:
80
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| + | 1 |
0.1%
|
|
| ABBATOIR - MEAT SALES | 1 |
0.1%
|
|
| ACKERMANS - GENERAL | 1 |
0.1%
|
|
| ADMIN AND BOOKKEEPING | 1 |
0.1%
|
|
| Administration clerk | 1 |
0.1%
|
|
| Assembly line worker in a sweet factory | 1 |
0.1%
|
|
| BELVILLE FACTORY | 1 |
0.1%
|
|
| BISCUIT FACTORY - SORTED BISCUITS | 1 |
0.1%
|
|
| BOILER MAKER | 2 |
0.2%
|
|
| Bonnita labourer, delivered dairy products. | 1 |
0.1%
|
|
| Bricklayer | 1 |
0.1%
|
|
| Building houses. | 1 |
0.1%
|
|
| CAN'T REMEMBER | 1 |
0.1%
|
|
| CANNING FRUIT | 1 |
0.1%
|
|
| CARE OF ELDERLY | 1 |
0.1%
|
|
| CASHIER AT SUPERMARKET | 1 |
0.1%
|
|
| CASUAL WORKER | 1 |
0.1%
|
|
| CLEANER | 2 |
0.2%
|
|
| CLEANER @ CLOTHING FACTORY | 1 |
0.1%
|
|
| CLEANER AT CHICKEN ABBATOIR | 1 |
0.1%
|
|
| CLERK | 1 |
0.1%
|
|
| CLINIC | 1 |
0.1%
|
|
| CLOTHES MAKER | 1 |
0.1%
|
|
| CLOTHES PRESSING | 1 |
0.1%
|
|
| CLOTHING FACTORY | 1 |
0.1%
|
|
| CLOTHING FACTORY - CLOTHES EXAMINER | 1 |
0.1%
|
|
| CLOTHING FACTORY - MACHINIST | 1 |
0.1%
|
|
| CLOTHING FACTORY MACHINIST | 5 |
0.6%
|
|
| CLOTHING FACTORY PACKER | 1 |
0.1%
|
|
| CLOTHING FACTORY SUPERVISOR | 1 |
0.1%
|
|
| CLOTHING FACTORY WORKER | 1 |
0.1%
|
|
| CLOTHING MACHINIST | 1 |
0.1%
|
|
| CONSTRUCTION | 2 |
0.2%
|
|
| CONSTRUCTION CO. LABOURER | 1 |
0.1%
|
|
| CONSTRUCTION WORKER | 3 |
0.4%
|
|
| COOK | 1 |
0.1%
|
|
| COOKWARE MANUFACTURING WORKER | 1 |
0.1%
|
|
| COURIER SERVICEMAN | 1 |
0.1%
|
|
| CRECHE - MINDER | 1 |
0.1%
|
|
| CRECHE TEACHER | 1 |
0.1%
|
|
| CREDIT MANAGER | 2 |
0.2%
|
|
| Can't remember | 1 |
0.1%
|
|
| Cashier | 1 |
0.1%
|
|
| Cleaner at a hospital | 1 |
0.1%
|
|
| Cleaner at a school | 1 |
0.1%
|
|
| Cleaner at the University of Fort Hare | 1 |
0.1%
|
|
| Clinic | 1 |
0.1%
|
|
| Construction - mixing cement | 1 |
0.1%
|
|
| Construction work | 1 |
0.1%
|
|
| DECEASED | 1 |
0.1%
|
|
| DISABLED | 1 |
0.1%
|
|
| DOESN'T KNOW | 4 |
0.5%
|
|
| DOMESTIC | 76 |
9.5%
|
|
| DOMESTIC WORK | 1 |
0.1%
|
|
| DOMESTIC WORKER | 3 |
0.4%
|
|
| DOMESTTIC WORKER | 1 |
0.1%
|
|
| DRESSMAKER @ CLOTHING FACTORY | 1 |
0.1%
|
|
| DRIVER | 1 |
0.1%
|
|
| Domestic Worker | 2 |
0.2%
|
|
| Domestic work | 2 |
0.2%
|
|
| Domestic worker | 16 |
2%
|
|
| Domestic worker in the farmhouse | 1 |
0.1%
|
|
| Domestic worker. | 1 |
0.1%
|
|
| Don't know | 3 |
0.4%
|
|
| FACTORY - MACHINIST | 1 |
0.1%
|
|
| FACTORY - TEA GIRL | 1 |
0.1%
|
|
| FACTORY SUPERVISOR | 1 |
0.1%
|
|
| FACTORY WORKER | 3 |
0.4%
|
|
| FACTORY WORKER - CARPET MANUF. | 1 |
0.1%
|
|
| FARM LABOURER | 5 |
0.6%
|
|
| FARM WORKER | 3 |
0.4%
|
|
| FARMER | 1 |
0.1%
|
|
| FISH FACTORY | 1 |
0.1%
|
|
| FISHERMAN | 1 |
0.1%
|
|
| Factory - knitting clothing, machinist | 1 |
0.1%
|
|
| Factory worker | 4 |
0.5%
|
|
| Farm Labourere | 1 |
0.1%
|
|
| Filing clerk | 1 |
0.1%
|
|
| HANDBAG MAKER | 1 |
0.1%
|
|
| HOPITAL CLEANER | 1 |
0.1%
|
|
| HOSPITAL CLEANER | 1 |
0.1%
|
|
| HOSPITAL COOK | 1 |
0.1%
|
|
| HOSPITAL WORKER LAUNDRY | 1 |
0.1%
|
|
| HOTEL CLEANER | 1 |
0.1%
|
|
| HOTEL COOK | 1 |
0.1%
|
|
| HOTEL INDUSTRY | 1 |
0.1%
|
|
| HOTEL WAITRESS | 1 |
0.1%
|
|
| HOTEL WORKER | 1 |
0.1%
|
|
| HOUSEWIFE | 26 |
3.2%
|
|
| HYPERAMA | 1 |
0.1%
|
|
| Harbour | 1 |
0.1%
|
|
| Hawker | 1 |
0.1%
|
|
| He passed away | 1 |
0.1%
|
|
| He was a truck driver | 1 |
0.1%
|
|
| He was a truck driver. | 1 |
0.1%
|
|
| He was a waiter | 1 |
0.1%
|
|
| He was working in a security company. | 1 |
0.1%
|
|
| He worked as a cleaner | 1 |
0.1%
|
|
| Helped in a vegetable scheme to harvest vegetables. | 1 |
0.1%
|
|
| Her mother was also working with them but cooking for everybody who was working | 1 |
0.1%
|
|
| House-wife | 1 |
0.1%
|
|
| Housemaid | 1 |
0.1%
|
|
| Housewife | 6 |
0.7%
|
|
| Ironed clothes at a factory shop | 1 |
0.1%
|
|
| JEWELLERY SHOP | 1 |
0.1%
|
|
| JUNGLE OATS FACTORY EMPLOYEE | 1 |
0.1%
|
|
| KITCHEN WORKER | 1 |
0.1%
|
|
| LAW FIRM SECRETARY | 1 |
0.1%
|
|
| LONG DISTANCE TRUCK DRIVER | 1 |
0.1%
|
|
| Labourer | 1 |
0.1%
|
|
| Laundry assistant - washing clothes for a hospital | 1 |
0.1%
|
|
| MACHINE OPERATOR | 2 |
0.2%
|
|
| MACHINE OPERATOR IN A FOODSTUFFS FACTORY | 1 |
0.1%
|
|
| MACHINE OPERATOR IN A NYLON FACTORY | 1 |
0.1%
|
|
| MACHINIST | 5 |
0.6%
|
|
| MACHINIST AT A CLOTHING FACTORY | 1 |
0.1%
|
|
| MACHINIST IN A TEXTILE FACTORY | 1 |
0.1%
|
|
| MADE HANDBAGS | 1 |
0.1%
|
|
| MANAGED WORKERS | 1 |
0.1%
|
|
| MATERIAL SORTER | 1 |
0.1%
|
|
| MINE WORKER | 3 |
0.4%
|
|
| MINER | 2 |
0.2%
|
|
| Machinist | 1 |
0.1%
|
|
| Machinist at a clothing factory | 1 |
0.1%
|
|
| Machinist in a clothing factory | 3 |
0.4%
|
|
| Machinist in a factory | 2 |
0.2%
|
|
| Male nurse | 1 |
0.1%
|
|
| Manufactured handbags | 1 |
0.1%
|
|
| Matron in a hospital | 1 |
0.1%
|
|
| NATIONAL PANASONIC - STAFF SUPERVISOR | 1 |
0.1%
|
|
| NAVY PERSONNEL | 1 |
0.1%
|
|
| NURSE | 6 |
0.7%
|
|
| NURSE - SOMERSET HOSPITAL | 1 |
0.1%
|
|
| NURSES ASSISTANT | 1 |
0.1%
|
|
| NURSING | 3 |
0.4%
|
|
| Not sure | 1 |
0.1%
|
|
| Nurse | 1 |
0.1%
|
|
| Nursing | 1 |
0.1%
|
|
| Nursing sister | 1 |
0.1%
|
|
| OFFICE CLEANER | 1 |
0.1%
|
|
| OLD MUTUAL | 1 |
0.1%
|
|
| PACKER AT I & J | 1 |
0.1%
|
|
| PENSIONER | 1 |
0.1%
|
|
| PHARMACIST | 1 |
0.1%
|
|
| PHARMACY WORKER | 1 |
0.1%
|
|
| PINEAPPLE SELLER | 1 |
0.1%
|
|
| PLACING SHOES ON MACHINE AND SUPERVISING | 1 |
0.1%
|
|
| PLASTIC CO. LABOURER | 1 |
0.1%
|
|
| PLUMBER | 1 |
0.1%
|
|
| PRIMARY SCHOOL TEACHER | 1 |
0.1%
|
|
| PRINTING BOOKS, CARDS | 2 |
0.2%
|
|
| PRINTING, VARNISHING | 1 |
0.1%
|
|
| PROFFESIONAL NURSE | 2 |
0.2%
|
|
| PROFFESIONAL NURSE - SOMERSET HOSPITAL | 1 |
0.1%
|
|
| PUTTING SHOES ON A MACHINE AND SUPERVISING | 1 |
0.1%
|
|
| Packer | 1 |
0.1%
|
|
| Principal teacher | 1 |
0.1%
|
|
| Printing works | 1 |
0.1%
|
|
| Private House | 1 |
0.1%
|
|
| Quality controller in clothing factory | 1 |
0.1%
|
|
| RAILWAY BUILDER WORKER | 1 |
0.1%
|
|
| RAN A CANTEEN | 1 |
0.1%
|
|
| RESCUE CASHIER | 1 |
0.1%
|
|
| RESPONDENT DOESN'T KNOW | 1 |
0.1%
|
|
| Restaurant work. Washing dishes, mopping floors and cutting chicken. | 1 |
0.1%
|
|
| SECONDARY SCHOOL TEACHER | 1 |
0.1%
|
|
| SELF EMPLOYED | 1 |
0.1%
|
|
| SEWING CLOTHES | 1 |
0.1%
|
|
| SEWING CLOTHES AT A FACTORY | 1 |
0.1%
|
|
| SEWING CLOTHES IN THE CLOTHING FACTORY | 1 |
0.1%
|
|
| SHOE MAKER | 1 |
0.1%
|
|
| SHOP ASSISTANT | 2 |
0.2%
|
|
| STEEL CO. - GENERAL WORKER | 1 |
0.1%
|
|
| STEEL INDUSTRY | 1 |
0.1%
|
|
| SUPERVISOR - BARKER FOOTWEAR | 2 |
0.2%
|
|
| SUPERVISOR @ OK BAZAARS | 1 |
0.1%
|
|
| SUPERVISOR AT CLOTHING FACTORY | 1 |
0.1%
|
|
| Sales Representative | 1 |
0.1%
|
|
| Sales representative | 1 |
0.1%
|
|
| Saleslady in a clothing store | 1 |
0.1%
|
|
| Security job | 1 |
0.1%
|
|
| Sewing in a factory shop | 1 |
0.1%
|
|
| She looked after children | 1 |
0.1%
|
|
| She never worked. | 1 |
0.1%
|
|
| She sewed shoes in a factory. | 1 |
0.1%
|
|
| She was a cleaner in a private house | 1 |
0.1%
|
|
| She was a cleaner in a supermarket. | 1 |
0.1%
|
|
| She was a dishwasher in a hotel. | 1 |
0.1%
|
|
| She was a domestic worker but became a primary school teacher later. | 1 |
0.1%
|
|
| She was a domestic worker. | 1 |
0.1%
|
|
| She was a machine operator | 1 |
0.1%
|
|
| She was a midwife | 1 |
0.1%
|
|
| She was a polisher, polished pots | 1 |
0.1%
|
|
| She was a supervisor at a boys high school | 1 |
0.1%
|
|
| She was a teacher in preschool | 1 |
0.1%
|
|
| She worked as a domestic worker | 1 |
0.1%
|
|
| She worked as a domestic worker. | 2 |
0.2%
|
|
| She worked as a gardener. | 1 |
0.1%
|
|
| She worked in a factory that makes clothing. | 1 |
0.1%
|
|
| Shoemaker | 2 |
0.2%
|
|
| Shop Assistant | 1 |
0.1%
|
|
| Shop assistant | 2 |
0.2%
|
|
| Supervisor at a factory shop | 1 |
0.1%
|
|
| Supervisor in a clothing factory | 1 |
0.1%
|
|
| Supervisor in a hospital | 1 |
0.1%
|
|
| TEACHER | 3 |
0.4%
|
|
| TRAMWAYS | 1 |
0.1%
|
|
| TV ASSEMBLER | 1 |
0.1%
|
|
| Tea girl | 1 |
0.1%
|
|
| Teacher at a training college | 1 |
0.1%
|
|
| Train operator | 1 |
0.1%
|
|
| Truck driver | 1 |
0.1%
|
|
| UNIVERSITY CLEANER | 1 |
0.1%
|
|
| WAITRESS | 1 |
0.1%
|
|
| WHOLESALE COOKWARE | 1 |
0.1%
|
|
| WORKED IN RAILWAY | 1 |
0.1%
|
|
| Worked as a cleaner at a nursing college | 1 |
0.1%
|
|
| Worked as a domestic worker | 1 |
0.1%
|
|
| Worked as a labourer on the farm | 1 |
0.1%
|
|
| Worked at a printing company. | 1 |
0.1%
|
|
| Worked for a paint company. Manufacturing paints. | 1 |
0.1%
|
|
| Worked for the municipality. | 1 |
0.1%
|
|
| Worked in a jersey factory. | 1 |
0.1%
|
|
| Worked in a sweet factory. | 1 |
0.1%
|
|
| Worked in the mines as a labourer | 1 |
0.1%
|
|
| Worked on a farm picking fruit | 1 |
0.1%
|
|
| Working on a farm, milking cows etc. | 1 |
0.1%
|
|
| assistant | 1 |
0.1%
|
|
| beverage place | 1 |
0.1%
|
|
| brick layer | 1 |
0.1%
|
|
| builder | 1 |
0.1%
|
|
| builder consruction | 1 |
0.1%
|
|
| building bridges | 1 |
0.1%
|
|
| bus and ambulances | 1 |
0.1%
|
|
| cantt recall | 1 |
0.1%
|
|
| carpenter | 1 |
0.1%
|
|
| carpentor | 1 |
0.1%
|
|
| carper factory | 1 |
0.1%
|
|
| check chemical mistakes | 1 |
0.1%
|
|
| chef | 1 |
0.1%
|
|
| chemical company | 1 |
0.1%
|
|
| chicken factory | 1 |
0.1%
|
|
| cleaner | 3 |
0.4%
|
|
| cleaner at college | 1 |
0.1%
|
|
| cleaner in a golf club | 1 |
0.1%
|
|
| cleaner in the municipal building | 1 |
0.1%
|
|
| cleaning | 1 |
0.1%
|
|
| cleaning and waiting for lawyers | 1 |
0.1%
|
|
| cleaning in the kittchen- sweeping floors and doing laundry | 1 |
0.1%
|
|
| cleaning the drums of chemicals | 1 |
0.1%
|
|
| cleaning the house of the employer | 1 |
0.1%
|
|
| clericall dutis | 1 |
0.1%
|
|
| clerk | 1 |
0.1%
|
|
| clothing factory sewing clothes | 1 |
0.1%
|
|
| clotthing factory | 1 |
0.1%
|
|
| computer operator | 1 |
0.1%
|
|
| construction | 1 |
0.1%
|
|
| constructor | 1 |
0.1%
|
|
| cook | 1 |
0.1%
|
|
| cook at groote schuur hospital | 1 |
0.1%
|
|
| cook at groote schuur hospittal | 1 |
0.1%
|
|
| cooker at the hospital | 1 |
0.1%
|
|
| cooker for the hospital | 1 |
0.1%
|
|
| cooker in hottel | 1 |
0.1%
|
|
| cotton factory | 1 |
0.1%
|
|
| council dealing with rendering social services to the community | 1 |
0.1%
|
|
| cutter at cloth factory | 1 |
0.1%
|
|
| dairy firm | 1 |
0.1%
|
|
| deliver furniture for ellerines | 1 |
0.1%
|
|
| deliveryman | 1 |
0.1%
|
|
| designer in a factory | 1 |
0.1%
|
|
| designer in the newspaper industry | 1 |
0.1%
|
|
| did domestic work | 1 |
0.1%
|
|
| digging gold in gold mines nott operatting any machine | 1 |
0.1%
|
|
| dish washer in a hotel | 1 |
0.1%
|
|
| do not know | 2 |
0.2%
|
|
| docks of cape town | 1 |
0.1%
|
|
| dockswater | 1 |
0.1%
|
|
| does not know | 1 |
0.1%
|
|
| does not know anything about his mother | 1 |
0.1%
|
|
| doing domestic work | 1 |
0.1%
|
|
| domesic duties | 1 |
0.1%
|
|
| domesic work | 1 |
0.1%
|
|
| domesstic work | 1 |
0.1%
|
|
| domestic | 2 |
0.2%
|
|
| domestic driver | 1 |
0.1%
|
|
| domestic duties | 12 |
1.5%
|
|
| domestic duties of cooking & cleaning for h/holds | 1 |
0.1%
|
|
| domestic duties,cooking and cleaning the household | 1 |
0.1%
|
|
| domestic dutties at Groote Shuur hospital | 1 |
0.1%
|
|
| domestic servant | 1 |
0.1%
|
|
| domestic services | 4 |
0.5%
|
|
| domestic work | 6 |
0.7%
|
|
| domestic worker | 65 |
8.1%
|
|
| domestic worker at the farm | 1 |
0.1%
|
|
| domestic worker,cleaned,looked after children etc | 1 |
0.1%
|
|
| domestic worker-cleaner | 1 |
0.1%
|
|
| domestic workter | 1 |
0.1%
|
|
| domesttic work | 1 |
0.1%
|
|
| domesttic worker | 8 |
1%
|
|
| domesttic worker,looking after children, cooking and making laundry | 1 |
0.1%
|
|
| domesttic worker-cleaning and looking after children of the employer | 1 |
0.1%
|
|
| domesttic worker-cleaning house,washing clothes | 1 |
0.1%
|
|
| domwstic worker | 1 |
0.1%
|
|
| don't know what father did | 1 |
0.1%
|
|
| dressmaker | 2 |
0.2%
|
|
| employer owned a house | 1 |
0.1%
|
|
| examiner at a factory | 1 |
0.1%
|
|
| factory | 1 |
0.1%
|
|
| factory worker | 5 |
0.6%
|
|
| farim worker | 1 |
0.1%
|
|
| farm worker | 7 |
0.9%
|
|
| farm-domestic work | 1 |
0.1%
|
|
| father worked at the railway station and doind labour work ettc | 1 |
0.1%
|
|
| finisher in clothing factory | 1 |
0.1%
|
|
| fish factory | 1 |
0.1%
|
|
| fisherman | 1 |
0.1%
|
|
| fisherpacker | 1 |
0.1%
|
|
| fishpacker | 1 |
0.1%
|
|
| forestry worker | 1 |
0.1%
|
|
| gardener in Rondebosch flats | 1 |
0.1%
|
|
| general electric | 1 |
0.1%
|
|
| golfclub fixing fields | 1 |
0.1%
|
|
| handyman | 1 |
0.1%
|
|
| harbour | 1 |
0.1%
|
|
| he was looking afer sheep cattle and goatts | 1 |
0.1%
|
|
| he was working as cheff he used to cook for hotel | 1 |
0.1%
|
|
| he was working at qonce i don't know his job | 1 |
0.1%
|
|
| he was working for spargs as a retail/customer assistantt | 1 |
0.1%
|
|
| he was working in cape town. | 1 |
0.1%
|
|
| he was working in the mines as migrant worker | 1 |
0.1%
|
|
| her father was working as a tttruck driver | 1 |
0.1%
|
|
| her mother worked as a domestic | 1 |
0.1%
|
|
| hospital | 1 |
0.1%
|
|
| houe wife | 1 |
0.1%
|
|
| house wife | 20 |
2.5%
|
|
| house wifw | 1 |
0.1%
|
|
| housewife | 4 |
0.5%
|
|
| housewife/died when she was four years old | 1 |
0.1%
|
|
| insurance broker | 1 |
0.1%
|
|
| knitter | 1 |
0.1%
|
|
| knitting jerseys' | 1 |
0.1%
|
|
| komestic worker | 1 |
0.1%
|
|
| koparisWORKIng for a hardware that sells everything | 1 |
0.1%
|
|
| korparis | 1 |
0.1%
|
|
| labour working on railway | 1 |
0.1%
|
|
| labourer | 1 |
0.1%
|
|
| library assistant | 1 |
0.1%
|
|
| loading and unloading of ships | 1 |
0.1%
|
|
| loading and unloading ships and trucks | 1 |
0.1%
|
|
| looking after domestic duties and selling clothes and vegetables | 1 |
0.1%
|
|
| machanist at a clotthing factory | 1 |
0.1%
|
|
| machanistt | 1 |
0.1%
|
|
| machine operator | 1 |
0.1%
|
|
| machinist | 12 |
1.5%
|
|
| machinist at a clohing factory | 1 |
0.1%
|
|
| machinist at clothing facttory | 1 |
0.1%
|
|
| machinist in the leather industry | 1 |
0.1%
|
|
| macsteel | 1 |
0.1%
|
|
| meat packer | 1 |
0.1%
|
|
| mechanic | 1 |
0.1%
|
|
| mid wife | 1 |
0.1%
|
|
| migrant worker | 1 |
0.1%
|
|
| mine worker | 1 |
0.1%
|
|
| mining | 1 |
0.1%
|
|
| moher was working ina factory doing the cooking | 1 |
0.1%
|
|
| mother never worked my fatther was tthe only person who was working | 1 |
0.1%
|
|
| mother passed away whilest still very young | 1 |
0.1%
|
|
| mother was a cleaner | 1 |
0.1%
|
|
| mother worked in a factory and was also doing the cooking | 1 |
0.1%
|
|
| motther was a domestic worker doing house duties and looking afer tthe children | 1 |
0.1%
|
|
| motther worked ata factory ,making underwear ec | 1 |
0.1%
|
|
| my moother was not working getttting money from my father | 1 |
0.1%
|
|
| n/a | 1 |
0.1%
|
|
| never worked | 1 |
0.1%
|
|
| nurse | 1 |
0.1%
|
|
| nurse in Gauteng | 1 |
0.1%
|
|
| nurse in a clinic | 1 |
0.1%
|
|
| nurse, | 1 |
0.1%
|
|
| nursing | 3 |
0.4%
|
|
| old age homeworker,looking aftter old whitte men and women feeding and washing t | 1 |
0.1%
|
|
| only remember that she was working in a textile facttory | 1 |
0.1%
|
|
| packing clothing | 1 |
0.1%
|
|
| packing groceries | 1 |
0.1%
|
|
| parks and forest | 1 |
0.1%
|
|
| petrol attendant | 2 |
0.2%
|
|
| postman | 1 |
0.1%
|
|
| railway worker | 1 |
0.1%
|
|
| sales lady | 1 |
0.1%
|
|
| school principal | 1 |
0.1%
|
|
| seaman worked in the engineering room 2nd chief in command | 1 |
0.1%
|
|
| seamstress | 1 |
0.1%
|
|
| secretary | 1 |
0.1%
|
|
| security | 3 |
0.4%
|
|
| she does n't know | 1 |
0.1%
|
|
| she is a machinistt -sewing in a factory for clothes | 1 |
0.1%
|
|
| she is a postt office cleaner | 1 |
0.1%
|
|
| she was a cleaner | 1 |
0.1%
|
|
| she was a clerk at cala hospital | 1 |
0.1%
|
|
| she was a domesic woker cleaning and looking after dogs | 1 |
0.1%
|
|
| she was a domestic worker | 3 |
0.4%
|
|
| she was a domestic worker at maclearin TKI .she was cleaning thte house,cooking | 1 |
0.1%
|
|
| she was a domestic worker cleaning the house,washing clotthes and taking care of | 1 |
0.1%
|
|
| she was a domestic worker,cleaning and looking after her employer | 1 |
0.1%
|
|
| she was a domestic worker,doing washing and ironing | 1 |
0.1%
|
|
| she was a domesttic worker | 1 |
0.1%
|
|
| she was a domesttic worker at somerset east for a whitte person.She was cooking, | 1 |
0.1%
|
|
| she was a domesttic worker cleaning etc | 1 |
0.1%
|
|
| she was a driver in Patttco bus company | 1 |
0.1%
|
|
| she was a nurse (registered and a professional) | 1 |
0.1%
|
|
| she was a room cleaner at transkaroo hotel att Britstown | 1 |
0.1%
|
|
| she was a teacher | 1 |
0.1%
|
|
| she was a worker at this farm | 1 |
0.1%
|
|
| she was cleaning ,washing and cooking | 1 |
0.1%
|
|
| she was cleaning dirty houses and washing clothes | 1 |
0.1%
|
|
| she was making peace jobs in a privatte houses, domestic work | 1 |
0.1%
|
|
| she was making tea for the bosses in the ttimber company and cleaning the worksh | 1 |
0.1%
|
|
| she was working att hotel,she was a chef | 1 |
0.1%
|
|
| she was workingasa a cleaner in our area .she clean tthe house | 1 |
0.1%
|
|
| she worked as a domestic worker and she used to clean houses | 1 |
0.1%
|
|
| she worked as a domestic worker cleaning ironing and looking afer children | 1 |
0.1%
|
|
| she worked in the farm as a domestic worker-she was cleaning the house | 1 |
0.1%
|
|
| shop assistant | 3 |
0.4%
|
|
| spray painter | 1 |
0.1%
|
|
| storeman | 1 |
0.1%
|
|
| street sweeper, council | 1 |
0.1%
|
|
| supervisor/receptionist | 1 |
0.1%
|
|
| swimwear factory | 1 |
0.1%
|
|
| take away shop | 1 |
0.1%
|
|
| tea girl | 2 |
0.2%
|
|
| tea-lady | 1 |
0.1%
|
|
| teacher | 4 |
0.5%
|
|
| teller | 1 |
0.1%
|
|
| truck driver | 1 |
0.1%
|
|
| truck-driving for a firm | 1 |
0.1%
|
|
| ttea girl company | 1 |
0.1%
|
|
| waitress | 2 |
0.2%
|
|
| washed school uniforms | 1 |
0.1%
|
|
| welding | 1 |
0.1%
|
|
| wood cutting company/cutting wood | 1 |
0.1%
|
|
| work in a hotel | 1 |
0.1%
|
|
| worked as a domestic worker-cleaned the house looked after children | 1 |
0.1%
|
|
| worked as a domesttic worker,doing household chpres for employer | 1 |
0.1%
|
|
| worked as a waittress at Arthur seat hottel | 1 |
0.1%
|
|
| worked as a wood worker ,to make furniture | 1 |
0.1%
|
|
| worked as domestic worker | 1 |
0.1%
|
|
| worked asa packer att pick 'n pay | 1 |
0.1%
|
|
| worked at a plasstic factory | 1 |
0.1%
|
|
| worked for consol,packing and labelling glass for company | 1 |
0.1%
|
|
| worked for municipality as an administrator working ina office | 1 |
0.1%
|
|
| worked for municipaliy,cleaning ttthe local areas | 1 |
0.1%
|
|
| worked in a hospital | 1 |
0.1%
|
|
| worked inchemical firm ,don't know what he did exacttly | 1 |
0.1%
|
|
| working a a cleaner in groote cshuur hospital, cleaning floors | 1 |
0.1%
|
|
| working as a coalminer | 1 |
0.1%
|
|
| working as domestic | 1 |
0.1%
|
|
| working asa migrantt worker | 1 |
0.1%
|
|
| working at butchery | 1 |
0.1%
|
|
| working at hospital as a housekeeper,old age home as housekeeper | 1 |
0.1%
|
|
| working at pep store | 1 |
0.1%
|
|
| working at the hospital kitchen cooking washing pots,prepare food | 1 |
0.1%
|
|
| working for a constructtion company cleaning hostels-was a cleaner | 1 |
0.1%
|
|
| working for a firm that produced doors and window frames | 1 |
0.1%
|
|
| working for security company as a security guard | 1 |
0.1%
|
|
| working for the council | 2 |
0.2%
|
|
| working in Johanessburg butt don't know the type of work | 1 |
0.1%
|
|
| working in a farm ,helping to sell cows | 1 |
0.1%
|
|
| working in the butchery, cleaning and packing meat | 1 |
0.1%
|
|
| working in the farms, looking after stock, ploughing fields, etc., | 1 |
0.1%
|
|
| working in the mines in gauteng | 1 |
0.1%
|
|
| working in the same place with the grandfather | 1 |
0.1%
|
|
| working on farm, looking after stock, milking cows, ploughing fields, | 1 |
0.1%
|
|
| works in the dry cleaner-sorting clothes | 1 |
0.1%
|
|
| zip factory | 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.