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    Home / Central Data Catalog / DATAFIRST / 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
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 27, 2012
Last modified
May 01, 2014
Page views
125866
Downloads
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  • kmp2000hhld_7
  • kmp2000adult_15
  • kmp2000merged

E.7. Manufacturing - specify (e7man)

Data file: kmp2000merged

Overview

Valid: 132
Type: Discrete
Start: 4787
End: 4808
Width: 22
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ALCOHOL 1
0.8%
ALUMINIUM PROCESSING 1
0.8%
Alcohol/Beer 1
0.8%
BAGS 1
0.8%
BAKERY 1
0.8%
BEER 1
0.8%
BOILERS 1
0.8%
BOOK PRINTERS 1
0.8%
BUTCHERY EQUIPMENT 1
0.8%
CAPRENTRY 1
0.8%
CLOTHING 15
11.4%
CLOTHING FACTORY 1
0.8%
COMPUTER SOFTWARE 1
0.8%
COSMETIC PRODUCTS 1
0.8%
Canned tins 1
0.8%
Clothing 10
7.6%
Clothing and textiles 1
0.8%
DAIRY PRODUCTS 1
0.8%
DOMES 1
0.8%
Dairy products 1
0.8%
FABRIC YARN 1
0.8%
FITNESS EQUIPMENT 1
0.8%
FOOD 1
0.8%
FOOD PRODUCTS 5
3.8%
FURNITURE 2
1.5%
Food products 4
3%
GLASSWARE 1
0.8%
Glass 1
0.8%
Meat Products 1
0.8%
OFFICE EQUIPMENT 1
0.8%
PERFUMES 1
0.8%
PHOTOCOPY PAPER 1
0.8%
PRINTING 1
0.8%
PRODUCE INK 1
0.8%
Paper industry 1
0.8%
Plastic bags 1
0.8%
SANITARY PRODUCTS 1
0.8%
Sails for yachts 1
0.8%
Shoes 1
0.8%
Steel 1
0.8%
TEXTILES 1
0.8%
TUBES MANUF. AND SALES 1
0.8%
aluminium 1
0.8%
baking bread 1
0.8%
beverages 1
0.8%
boats 1
0.8%
boxes 1
0.8%
buglar bars 1
0.8%
cement 1
0.8%
clothing 19
14.4%
clotthing 1
0.8%
cotton sectro 1
0.8%
ferilizers 1
0.8%
filter 1
0.8%
food 3
2.3%
food producer 1
0.8%
food products 1
0.8%
food productts 1
0.8%
foot wear 1
0.8%
furniture 1
0.8%
linen 1
0.8%
meat 1
0.8%
meat products 2
1.5%
metal production 1
0.8%
motor garage 1
0.8%
nylon 1
0.8%
plastic 4
3%
printing 1
0.8%
software 1
0.8%
solar panels 1
0.8%
steel 4
3%
steel manufactture 1
0.8%
steel manufacturer 1
0.8%
steel manufacturing 1
0.8%
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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