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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / TZA_2006-2013_ES-P_V01_M / variable [F2]
enterprise_surveys

Enterprise Survey 2006-2013, Panel Data

Tanzania, 2006 - 2014
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Reference ID
TZA_2006-2013_ES-P_v01_M
DOI
https://doi.org/10.48529/rgvk-7f42
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 08, 2015
Last modified
Oct 08, 2015
Page views
51045
Downloads
54819
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  • Tanzania_2006_2013_Panel

Second: (c3b1)

Data file: Tanzania_2006_2013_Panel

Overview

Valid: 273
Invalid: 0
Type: Discrete
Start: 1238
End: 1295
Width: 58
Range: -
Format: character

Questions and instructions

Literal question
In 2005, what were this establishment’s 2 main products represented by the largest proportion of annual sales?
Categories
Value Category Cases
-44 104
38.1%
718 eva slippers 1
0.4%
Cakes 1
0.4%
Chocolate & sugar confectionary 1
0.4%
Cupboard 1
0.4%
Cupboards and chairs 1
0.4%
Domestic Furniture 1
0.4%
Gents Clothes 1
0.4%
Men's garments 1
0.4%
PEHD pipes 1
0.4%
School Furniture 1
0.4%
Suspended gypsum 1
0.4%
Tables 1
0.4%
Writing pads 1
0.4%
adhesives 1
0.4%
africafe (pure coffee) 1
0.4%
aluminium plates 1
0.4%
animal feed 2
0.7%
animal feeds 1
0.4%
beauty soap 1
0.4%
bed 1
0.4%
bed & sofas 1
0.4%
beds 4
1.5%
box files 1
0.4%
bread 1
0.4%
building materials 1
0.4%
by products(printing) 1
0.4%
cakes 2
0.7%
calculator 1
0.4%
carved chest boxes 1
0.4%
cashewnuts products 1
0.4%
chain link 1
0.4%
chairs 1
0.4%
cheese 2
0.7%
chiken feeds 1
0.4%
children dresses 1
0.4%
chill sauce 1
0.4%
chocolate, cocoa & sugar confectionary 1
0.4%
coaches 1
0.4%
coffee table set 1
0.4%
concrete blocks 1
0.4%
consulting 1
0.4%
cookies 1
0.4%
cushions 3
1.1%
dary feeds 1
0.4%
domestics clothes 1
0.4%
doors 2
0.7%
dressing tables 1
0.4%
electric cooker 1
0.4%
electrical installations 1
0.4%
eugenol oil 1
0.4%
fertiliser 1
0.4%
fibre products 1
0.4%
files 1
0.4%
furniture 1
0.4%
furnitures 2
0.7%
galvanised water tanks & containers 1
0.4%
garments 4
1.5%
garments repair 1
0.4%
gates 1
0.4%
gents clothes 1
0.4%
glass windows 1
0.4%
grain flour 1
0.4%
headed papers, greeting cards 1
0.4%
house fiting 1
0.4%
house furnitures 1
0.4%
ice cream 1
0.4%
inks 1
0.4%
insecticide spray 1
0.4%
inside lamination bag 1
0.4%
interlock pavers 1
0.4%
iron bar 1
0.4%
jeed cake 1
0.4%
juice 1
0.4%
kaytex(female pad) 1
0.4%
kitchen cabinet 1
0.4%
laboratory furnitures & appliances 1
0.4%
ladie's garments 1
0.4%
ladies clothes 2
0.7%
ladies garments 1
0.4%
leather 1
0.4%
maintenance and repair of motor vehicules 1
0.4%
maize 1
0.4%
maize corn 1
0.4%
maize powder 1
0.4%
mango pickle (chill sauce) 1
0.4%
men shirts 1
0.4%
men trousers 2
0.7%
mens clothing 1
0.4%
mens wear 1
0.4%
mercerised fabric 1
0.4%
millet 1
0.4%
millet flour 1
0.4%
nails 1
0.4%
office furniture 1
0.4%
ordinary portland cemnet 1
0.4%
other non metal domestic appliances 1
0.4%
other printing 1
0.4%
paint brushes 1
0.4%
pipes, plates, tubes 1
0.4%
plaiting wood materials 1
0.4%
pnv antibiotics 1
0.4%
printed cartons 1
0.4%
publishing 1
0.4%
ready drink water 1
0.4%
ready due drink juice 1
0.4%
roofing 1
0.4%
saving-dishes 1
0.4%
school and office furnitures 1
0.4%
school furniture 2
0.7%
school furnitures 1
0.4%
school uniforms 1
0.4%
sections 1
0.4%
shock absuber 1
0.4%
showcase + sideboard 1
0.4%
silver 2
0.7%
small containers 1
0.4%
sofa sets 1
0.4%
soft drinks 1
0.4%
spare parts and accessories for motor vehicles and engines 1
0.4%
steel 1
0.4%
steel poles 1
0.4%
steel works 1
0.4%
suitings, shirtings 1
0.4%
suits 1
0.4%
sukazi taukk sugar 1
0.4%
sunlight soap 1
0.4%
super pine cleaner 1
0.4%
tailoring 2
0.7%
textbooks 1
0.4%
toffee 1
0.4%
training of young ladies 1
0.4%
transport services 1
0.4%
trolleys 1
0.4%
trousers 2
0.7%
truck body building 1
0.4%
vents 1
0.4%
water (uhai pure drinking water) 1
0.4%
wheat flour 2
0.7%
wheel barrows 1
0.4%
windows 2
0.7%
women suites 1
0.4%
women's wear 1
0.4%
womens wear 1
0.4%
wood candle stands 1
0.4%
wood furniture 1
0.4%
wood products 1
0.4%
yoghourt 1
0.4%
yogourt 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.
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