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
Page views
126697
Downloads
636
- Data files
- kmp2000hhld_7
- kmp2000adult_15
- kmp2000merged
D.19. Manufacturing - specify (d19manspec)
Data file: kmp2000merged
Overview
Valid:
271
Type:
Discrete
Start:
3817
End:
3844
Width:
28
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BAKERY | 1 |
0.4%
|
|
| BURGLAR BARS/SECURITY GATES | 1 |
0.4%
|
|
| BUTCHERY | 1 |
0.4%
|
|
| Boilers, trolleys | 1 |
0.4%
|
|
| Books | 1 |
0.4%
|
|
| CHICKEN | 1 |
0.4%
|
|
| CLOTHING | 45 |
16.6%
|
|
| CLOTHING MANUF. | 1 |
0.4%
|
|
| CLOTHING, FOOD PRODUCTS | 1 |
0.4%
|
|
| CLOTTHING | 1 |
0.4%
|
|
| COACHES | 1 |
0.4%
|
|
| Clothing | 20 |
7.4%
|
|
| Computers | 1 |
0.4%
|
|
| DISTILLERS | 1 |
0.4%
|
|
| DOG FOOD MANUF. | 1 |
0.4%
|
|
| ENVELOPES | 1 |
0.4%
|
|
| FOOD | 2 |
0.7%
|
|
| FOOD PRODUCTS | 6 |
2.2%
|
|
| FOOTWEAR | 2 |
0.7%
|
|
| FROZEN FISH | 1 |
0.4%
|
|
| FURNITURE | 1 |
0.4%
|
|
| Food Products | 1 |
0.4%
|
|
| Food products | 3 |
1.1%
|
|
| Food services | 1 |
0.4%
|
|
| Fruit and vegetables | 1 |
0.4%
|
|
| GRANITE WORK | 1 |
0.4%
|
|
| HANDBAGS | 3 |
1.1%
|
|
| JEWELLERY | 1 |
0.4%
|
|
| MADE RUBBER BOATS | 1 |
0.4%
|
|
| MATERIALS | 1 |
0.4%
|
|
| MOTOR MANUFACTURER | 1 |
0.4%
|
|
| Manufacturing tools | 1 |
0.4%
|
|
| ORANGE FARM | 1 |
0.4%
|
|
| PERFUME | 1 |
0.4%
|
|
| PLASTIC | 1 |
0.4%
|
|
| PLASTIC BAGS | 1 |
0.4%
|
|
| PLASTIC PIPES | 1 |
0.4%
|
|
| POTTERY PRODN. | 1 |
0.4%
|
|
| Printing | 1 |
0.4%
|
|
| RADIO MANUFACTURE | 1 |
0.4%
|
|
| SHOE | 1 |
0.4%
|
|
| SHOE FACTORY | 1 |
0.4%
|
|
| SHOES | 2 |
0.7%
|
|
| STEEL PRODN. | 1 |
0.4%
|
|
| SWEETS | 1 |
0.4%
|
|
| School boards | 1 |
0.4%
|
|
| Shoes | 1 |
0.4%
|
|
| Sorting of wool | 1 |
0.4%
|
|
| Sweets | 1 |
0.4%
|
|
| TEA | 1 |
0.4%
|
|
| TELKOM | 1 |
0.4%
|
|
| TEXTILES | 2 |
0.7%
|
|
| TEXTILES AND FOOD COLOURANTS | 1 |
0.4%
|
|
| TIMBER | 1 |
0.4%
|
|
| TOYS | 1 |
0.4%
|
|
| WOOL | 1 |
0.4%
|
|
| Windows | 1 |
0.4%
|
|
| Wood | 1 |
0.4%
|
|
| Wood products | 1 |
0.4%
|
|
| abestos | 1 |
0.4%
|
|
| apple farm | 1 |
0.4%
|
|
| bags | 1 |
0.4%
|
|
| bakery | 2 |
0.7%
|
|
| baking | 1 |
0.4%
|
|
| bear | 1 |
0.4%
|
|
| bedding | 1 |
0.4%
|
|
| blades | 1 |
0.4%
|
|
| boards | 1 |
0.4%
|
|
| boxes | 2 |
0.7%
|
|
| bread | 1 |
0.4%
|
|
| bricks | 1 |
0.4%
|
|
| building material | 1 |
0.4%
|
|
| buttcher | 1 |
0.4%
|
|
| candle factory | 1 |
0.4%
|
|
| canned food | 1 |
0.4%
|
|
| car seat covers | 1 |
0.4%
|
|
| chocolate | 1 |
0.4%
|
|
| clothes | 1 |
0.4%
|
|
| clothing | 47 |
17.3%
|
|
| clotthing | 5 |
1.8%
|
|
| corrugated iron | 1 |
0.4%
|
|
| dairy | 1 |
0.4%
|
|
| dairy productts | 1 |
0.4%
|
|
| domestic | 2 |
0.7%
|
|
| domestic services | 2 |
0.7%
|
|
| domestic work | 1 |
0.4%
|
|
| electrical products | 1 |
0.4%
|
|
| electronic | 1 |
0.4%
|
|
| engineering and mechanical | 1 |
0.4%
|
|
| food | 8 |
3%
|
|
| food products | 5 |
1.8%
|
|
| food productts | 1 |
0.4%
|
|
| food services | 1 |
0.4%
|
|
| fruit | 1 |
0.4%
|
|
| furnature | 1 |
0.4%
|
|
| furnitture | 1 |
0.4%
|
|
| furniture | 3 |
1.1%
|
|
| leather work | 1 |
0.4%
|
|
| material | 1 |
0.4%
|
|
| meat | 2 |
0.7%
|
|
| meat products | 1 |
0.4%
|
|
| meatt | 1 |
0.4%
|
|
| metal | 1 |
0.4%
|
|
| metal caps | 1 |
0.4%
|
|
| murray and roberts | 1 |
0.4%
|
|
| network | 1 |
0.4%
|
|
| paper industtry | 1 |
0.4%
|
|
| paper products | 1 |
0.4%
|
|
| pastics | 1 |
0.4%
|
|
| peanuts | 1 |
0.4%
|
|
| plastic | 3 |
1.1%
|
|
| plastics | 1 |
0.4%
|
|
| securitty | 1 |
0.4%
|
|
| sighns | 1 |
0.4%
|
|
| signs | 1 |
0.4%
|
|
| steel | 1 |
0.4%
|
|
| tents | 1 |
0.4%
|
|
| timber and furniture | 1 |
0.4%
|
|
| tobacco | 2 |
0.7%
|
|
| weeving | 1 |
0.4%
|
|
| wine | 1 |
0.4%
|
|
| wire | 1 |
0.4%
|
|
| wood | 1 |
0.4%
|
|
| wood art | 1 |
0.4%
|
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.