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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
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128243
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636
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  • kmp2000hhld_7
  • kmp2000adult_15
  • kmp2000merged

E.23.1. Free goods and services - specify? (e23_1)

Data file: kmp2000merged

Overview

Valid: 138
Type: Discrete
Start: 5006
End: 5080
Width: 75
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
3 1
0.7%
3 cases of free beer 1
0.7%
6 FREE BEERS - ONCE A WEEK 1
0.7%
BOX OF CHIPS ETC. 1
0.7%
BREAD, CLOTHES 1
0.7%
Bakkie and cell phone 1
0.7%
Beer 1
0.7%
Birthday Gifts 1
0.7%
CLOTHES 2
1.4%
CLOTHES AND FURNITURE 1
0.7%
CLOTHES, FOOD 3
2.2%
CLOTHES, FRIDGE, STOVE 1
0.7%
CLOTHES, RADIO, BED, FURNITURE 1
0.7%
CLOTHES, TV 1
0.7%
CLOTHING 2
1.4%
CLOTHING, DISHES 1
0.7%
COUCH, FRIDGE, BED 1
0.7%
Car 1
0.7%
Clothes 3
2.2%
Clothing 1
0.7%
Clothing and food 1
0.7%
Cups as presents. 1
0.7%
DISCOUNT 1
0.7%
DOESN'T PAY FOR BREAKFAST AND LUNCH 1
0.7%
ELECTRICAL GOODS 1
0.7%
FOOD 5
3.6%
FOOD &CLOTHES FOR MY CHILDREN 1
0.7%
FOOD PRODUCTS 1
0.7%
FOOD, COFFEE 1
0.7%
FREE BEER 1
0.7%
FREE EYE TEST 1
0.7%
FREE LUNCH EVERYDAY 1
0.7%
FREE TRANSPORT 2
1.4%
FREE TRANSPORT TO AND FROM WORK 1
0.7%
FREE TRANSPORT WHEN WORKING OVERTIME 1
0.7%
FRUIT AND VEG. SALES 1
0.7%
Fish 1
0.7%
Fish at cost price 1
0.7%
Food 1
0.7%
Food, clothes, dishes and linen 1
0.7%
GROCERIES, BIRTHDAY PRESENTS 1
0.7%
Get offcuts of wood 1
0.7%
Give us more money and groceries at the end of the month 1
0.7%
HANDCUFFS 1
0.7%
LOAN FOR THE HOUSE 1
0.7%
MEALS 1
0.7%
MEAT 1
0.7%
MEAT FROM COLD STORAGE 1
0.7%
MILK 1
0.7%
Meals 1
0.7%
Medical aid facilities. 1
0.7%
OLD CLOTHES 1
0.7%
OVERALLS, BOOTS 1
0.7%
Old furniture and clothes. 1
0.7%
PLANTS 1
0.7%
STAFF DISCOUNT 1
0.7%
Seat covers 1
0.7%
Second-hand clothes, dishes and christmas gifts. 1
0.7%
TEA AND MEALS 1
0.7%
TELEPHONE ADVANCES - 132 PER MONTH 1
0.7%
TV, CUTLERY, CLOTHING 1
0.7%
Tea, bread and eggs. 1
0.7%
all goods thatt he feels he does not need tthem anymore like beds,blanketts 1
0.7%
beers and tracksuits 1
0.7%
bread and meat 1
0.7%
clothes 3
2.2%
clothes, dishes etc 1
0.7%
clothes,food 1
0.7%
clothes,money and food 1
0.7%
clothing 1
0.7%
clothing and bed 1
0.7%
clothing and food 1
0.7%
clothing and unwanted bedding 1
0.7%
clotthes 1
0.7%
clotthes and food 1
0.7%
clotthes for her and her children 1
0.7%
complimentary tickets and discount on food 1
0.7%
first R200 free on phone 1
0.7%
fish 1
0.7%
food 2
1.4%
food for lunch at work 1
0.7%
food,clothes for children and furnitture 1
0.7%
food-breakfast, lunch 1
0.7%
furniture and equipment 1
0.7%
gorcery 1
0.7%
ice creams 1
0.7%
items from woolworths 1
0.7%
kry fish 1
0.7%
lend me money but do not want it it back 1
0.7%
meat, carpets, glasses for windows and old doors 1
0.7%
medical service 1
0.7%
medicine when he is sick 1
0.7%
nothing 1
0.7%
old clothing 1
0.7%
old furniture and clothes for the children 1
0.7%
only food 1
0.7%
photos, clothes &cups 1
0.7%
pies, rolls and drinks 1
0.7%
pillows, curtains 1
0.7%
presents of party 1
0.7%
rebate on telephones 1
0.7%
repairs for free 1
0.7%
second hand clothes and food sometimes 1
0.7%
set material 1
0.7%
she does nott get free goods and services 1
0.7%
she gives me clothing 1
0.7%
some clotthing 1
0.7%
some groceries and sometimes clothing 1
0.7%
someime i get groceries 1
0.7%
staff discounts 1
0.7%
stay with them during the week 1
0.7%
they are given tips 1
0.7%
they get cream soda and soaps 1
0.7%
transport allowance 1
0.7%
uniform 1
0.7%
uniform and tea 1
0.7%
voucher for petrol 1
0.7%
vouchers towards the end of the year 1
0.7%
we get free food 1
0.7%
wearing clothes eg skirts and blouses 1
0.7%
work clothing 2
1.4%
working clothes 2
1.4%
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.
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