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    Home / Central Data Catalog / GHA_2007_ES_V01_M_WB / variable [F1]
central

Enterprise Survey 2007

Ghana, 2007
Reference ID
GHA_2007_ES_v01_M_WB
Producer(s)
World Bank
Collections
Economics
Metadata
DDI/XML JSON
Created on
Feb 13, 2013
Last modified
Dec 05, 2013
Page views
457853
Downloads
2825
  • Study Description
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  • Ghana-2007--full
    data-1

product 2 (d1b1x)

Data file: Ghana-2007--full data-1

Overview

Valid: 414
Invalid: 0
Type: Discrete
Start: 213
End: 255
Width: 43
Range: -
Format: character

Questions and instructions

Literal question
In 2006, what were this establishment’s 2 main products represented by the largest proportion of annual sales?
Categories
Value Category Cases
-4 146
35.3%
aluminium sliding doors 1
0.2%
aluzin roofing sheet 1
0.2%
amplifier 1
0.2%
atl black and white 1
0.2%
bags 1
0.2%
banners 1
0.2%
beauty products 1
0.2%
bed 1
0.2%
beds 2
0.5%
beer 1
0.2%
beverages 3
0.7%
billboards 1
0.2%
billboards and t shirts printing 1
0.2%
bisant 1
0.2%
biscuits 2
0.5%
boards 1
0.2%
books 2
0.5%
bot 1
0.2%
brake fluid 1
0.2%
bread 2
0.5%
bridge 1
0.2%
burgla proof 1
0.2%
burglar proof window frames 1
0.2%
butter bread 1
0.2%
cabinet 2
0.5%
cailing, home and office furniture 1
0.2%
cake 2
0.5%
cakes 1
0.2%
candies 1
0.2%
candy 1
0.2%
car sit 1
0.2%
cassawa dougth 1
0.2%
castle milk 1
0.2%
casual dress 1
0.2%
cement blocks, cooler pots 1
0.2%
ceramics 1
0.2%
chairs 1
0.2%
charging of batteries 1
0.2%
chips 1
0.2%
clay pots 1
0.2%
clothing 1
0.2%
coffins 1
0.2%
colwen 1
0.2%
company uniforms 1
0.2%
conference room metal chairs upholstry 1
0.2%
construction 1
0.2%
cookies 1
0.2%
coro dough 1
0.2%
craft work 1
0.2%
culvert 1
0.2%
decoration 1
0.2%
decorations 1
0.2%
design blocks 1
0.2%
design blocks and columns 1
0.2%
designer thread 3
0.7%
designing 1
0.2%
designing thread 1
0.2%
detergents 1
0.2%
dining table 1
0.2%
donkey truck 1
0.2%
doughnut 1
0.2%
dress 1
0.2%
dress reparing 1
0.2%
dresses 1
0.2%
drinks 3
0.7%
dusher 1
0.2%
editing 1
0.2%
electrical wires, switches, implements 1
0.2%
electrodes 1
0.2%
embroidary 1
0.2%
embrosder thread 1
0.2%
executive arm chair 1
0.2%
fabric 1
0.2%
fan ice 1
0.2%
fence wall gate 1
0.2%
fixing of the frames 1
0.2%
floral production 1
0.2%
food 1
0.2%
foreign dishes 1
0.2%
fried plantain 1
0.2%
furniture 1
0.2%
gift items 1
0.2%
glass 1
0.2%
glaze works 1
0.2%
grinding machines 1
0.2%
grower mash 1
0.2%
guinness 1
0.2%
hair cut 1
0.2%
hair salon services 1
0.2%
home and office furniture 1
0.2%
household equipments 1
0.2%
ice water 1
0.2%
inspirational books 1
0.2%
insulator 1
0.2%
iron road 1
0.2%
iron rod 1
0.2%
jewelery 1
0.2%
jewelry 1
0.2%
joinery 1
0.2%
juices 1
0.2%
kaba 1
0.2%
kaftan 1
0.2%
kexte clothes 1
0.2%
keys 1
0.2%
knitting 1
0.2%
knitting and embroidary 1
0.2%
ladies straight dress 1
0.2%
light soup 1
0.2%
linen 1
0.2%
lining of chairs 1
0.2%
lining of furniture 1
0.2%
lining of materials 1
0.2%
living room furniture 2
0.5%
long dress 1
0.2%
long dresses 1
0.2%
long sleeve shirts 1
0.2%
lumber 1
0.2%
manufacturing of furniture parts 1
0.2%
manufacturing of herb afrik bitters 1
0.2%
manufacturing of tie and die clothes 1
0.2%
master batteries 1
0.2%
meat pie 1
0.2%
men's clothes 1
0.2%
men's suit 2
0.5%
men's suits 2
0.5%
metal gate 1
0.2%
metal products 1
0.2%
milk 1
0.2%
necklaces 1
0.2%
office desk 1
0.2%
omol (drugs) 1
0.2%
oxygen gas 1
0.2%
painting 1
0.2%
paints 2
0.5%
paraffinium 1
0.2%
pastries 6
1.4%
pastries (biscuits) 1
0.2%
pepper sauce 1
0.2%
phones calls 1
0.2%
pies 1
0.2%
pies and pastries 1
0.2%
plastic buckets 1
0.2%
plastics cvp and plates 1
0.2%
plugs 1
0.2%
plywood 1
0.2%
plywood, blackboard, wood for windows 1
0.2%
polythene bags, polythene rolls 1
0.2%
polythene plastics 1
0.2%
printing and photocopy 1
0.2%
printing of official receipt books 1
0.2%
provisions 1
0.2%
pvc joints 1
0.2%
razors 1
0.2%
receipts 1
0.2%
refrigiration 1
0.2%
retail of dvd's and cd's 1
0.2%
rice 2
0.5%
rice and beans 1
0.2%
rolls 1
0.2%
roofing sheet 1
0.2%
room furniture 1
0.2%
sale of computer accesories 1
0.2%
sale of provisions 1
0.2%
sale of sowing items 1
0.2%
sales of computers accesories 1
0.2%
sandals 1
0.2%
sandals and shoes 1
0.2%
school dual desk 1
0.2%
secretarial services 1
0.2%
secreterial services 1
0.2%
selling garments 1
0.2%
selling of clothes 1
0.2%
selling of garments 2
0.5%
selling of materials 1
0.2%
selling of some of the manufactured dresses 1
0.2%
selling of torn dress 1
0.2%
servicing of car parts 1
0.2%
sewing fabrics 1
0.2%
shirts 2
0.5%
shoes 1
0.2%
shorts 1
0.2%
simple wears 1
0.2%
skirt and top 4
1%
skirts 1
0.2%
sliding doors 1
0.2%
soaps 1
0.2%
soaps and detergent 1
0.2%
sockets 1
0.2%
soda 1
0.2%
soft and fruit drinks 1
0.2%
sound system 2
0.5%
soya beans oil 1
0.2%
spark plugs 1
0.2%
spices 1
0.2%
star beer 1
0.2%
stationnery 1
0.2%
straight dress 1
0.2%
suckets 1
0.2%
sugar 1
0.2%
sugar bread 1
0.2%
suits 2
0.5%
sweets 1
0.2%
synips 1
0.2%
t shirts 1
0.2%
tables and chair for schools 1
0.2%
tablet 1
0.2%
take away bowls, rubber bags 1
0.2%
textiles for production of smokes 1
0.2%
thread 15
3.6%
tie and die 1
0.2%
tinfish 1
0.2%
toffees 1
0.2%
toffus 1
0.2%
toys 1
0.2%
training services 1
0.2%
trousers 2
0.5%
tv pole wires 1
0.2%
ulteration of garments 1
0.2%
video production 1
0.2%
wall droop 1
0.2%
welding 1
0.2%
windows 1
0.2%
wooden birds 1
0.2%
writing desks 1
0.2%
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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