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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / JOR_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Jordan, 2006
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Reference ID
JOR_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/z1m8-p072
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
May 24, 2011
Last modified
Sep 26, 2013
Page views
28168
Downloads
1419
  • Study Description
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  • Jordan-2006--full
    data-

Second main product: second largest proportion of annual sales: Description (d1b1x)

Data file: Jordan-2006--full data-

Overview

Valid: 192
Invalid: 0
Type: Discrete
Start: 217
End: 246
Width: 30
Range: -
Format: character

Questions and instructions

Literal question
In fiscal year 2005, what were this establishment's two main products represented by the largest proportion of annual sales?
Categories
Value Category Cases
ALCED 1
0.5%
BFA 1
0.5%
BREAKER 1
0.5%
Beans 1
0.5%
Berlite mineral 1
0.5%
Bran 1
0.5%
Bread 1
0.5%
COCO NUT 1
0.5%
Caloriic Paints 1
0.5%
Chese 1
0.5%
Chips snaks 1
0.5%
Chlorine 1
0.5%
Computer Skickers 1
0.5%
Coockies 1
0.5%
Custared &gelly 1
0.5%
Farika 1
0.5%
Feed proteir 1
0.5%
Fungicides 1
0.5%
Furniture 1
0.5%
Granite 1
0.5%
Juice 1
0.5%
Lancheon cans 1
0.5%
Liquaid 1
0.5%
Liquid Cheeocolate 1
0.5%
MEAT COOLERS 1
0.5%
Mayonnaise 1
0.5%
Oil Paints 1
0.5%
Olive coal 1
0.5%
PAPER 1
0.5%
Pants 1
0.5%
Pastry making 1
0.5%
Plastic conecting parts 1
0.5%
Poultry 2
1%
SHIRTS 1
0.5%
STON MILLS 1
0.5%
Seeds Grinding 1
0.5%
Shirts 1
0.5%
Shorts 1
0.5%
Soya oil 1
0.5%
Special glass 1
0.5%
Spices 1
0.5%
Spread cheese 1
0.5%
Steel Sipply 1
0.5%
Stone 1
0.5%
Sweats 1
0.5%
T-shirts 1
0.5%
T.Shirts 1
0.5%
TILE 1
0.5%
TOPS 1
0.5%
T_shirts 1
0.5%
Tahina 1
0.5%
Tile 1
0.5%
Toilets sets 1
0.5%
Wheat flour 1
0.5%
Windows 1
0.5%
agriculture equipments 1
0.5%
agriculture plastics 1
0.5%
agriculture seeds 1
0.5%
air filters 1
0.5%
all sorts and iron 1
0.5%
amra salt 1
0.5%
bags 1
0.5%
bakery 1
0.5%
barber shop decoration 1
0.5%
beedrooms 1
0.5%
bejamas 1
0.5%
binding wires 1
0.5%
biscuits 1
0.5%
biscuts 1
0.5%
blanlcets 1
0.5%
boys jeans pants 1
0.5%
boys pants 1
0.5%
bread 1
0.5%
briks 1
0.5%
building fillers 1
0.5%
building rocks 1
0.5%
buiscets 1
0.5%
cables 1
0.5%
cancentrates 1
0.5%
cane barrel 1
0.5%
chicks 1
0.5%
chips 1
0.5%
chocolate 2
1%
civil fabric 1
0.5%
cleaning gel 1
0.5%
cleaning malercals 1
0.5%
coatings 1
0.5%
coloring chemicals 1
0.5%
colouring materials for sponge 1
0.5%
computers spare parts 1
0.5%
construction materials 1
0.5%
coockies 3
1.6%
cookies 6
3.1%
cookies & sweets 1
0.5%
dajary 1
0.5%
dead sea cosmetics 1
0.5%
dead sea salt 1
0.5%
dead sea substances 1
0.5%
disk brake 1
0.5%
electrical keys &switches 1
0.5%
electrical panel 1
0.5%
embriodery 1
0.5%
fat acids 1
0.5%
feed concentrate 1
0.5%
feeding concentracte 1
0.5%
filling packaging paper 1
0.5%
gypsum 1
0.5%
hallawa 1
0.5%
improved bread 1
0.5%
irrigation tubes 1
0.5%
juices 1
0.5%
kofia 1
0.5%
labaneh 1
0.5%
ladies suits 1
0.5%
ladies wear 1
0.5%
lukers 1
0.5%
manufacturing furniture 1
0.5%
marbel 1
0.5%
marble 1
0.5%
matching demand 1
0.5%
mattresses 1
0.5%
maxican bread 1
0.5%
medical uniforms 1
0.5%
men and children socks 1
0.5%
metal containers 1
0.5%
metal equipment 1
0.5%
metal welding 1
0.5%
metallic raw material 1
0.5%
mirrors 1
0.5%
mud masks 1
0.5%
nuts 1
0.5%
oily based 1
0.5%
oriental rugs 1
0.5%
pastries production 1
0.5%
patesaries 1
0.5%
pesticides 1
0.5%
plastic cups 1
0.5%
plastic pipes 1
0.5%
plastics parts 1
0.5%
plstic packaging 1
0.5%
printing &sewing 1
0.5%
printing luk yellow 1
0.5%
refrigerators 1
0.5%
saop 1
0.5%
screws 1
0.5%
selentes 1
0.5%
semolina 1
0.5%
shirts 2
1%
shoes 1
0.5%
short 1
0.5%
shorts 1
0.5%
sleeping wears 1
0.5%
soap 2
1%
spread cheese 1
0.5%
steel castings 1
0.5%
structural steel 1
0.5%
syliket 1
0.5%
t-shirts 1
0.5%
tile 1
0.5%
tiles 1
0.5%
trousers 3
1.6%
underwear 2
1%
unform 1
0.5%
uvevit 1
0.5%
varied meat 1
0.5%
vegetables bags 1
0.5%
vernerian manufacturing 1
0.5%
water unit a/c 1
0.5%
watre drags 1
0.5%
welding production 1
0.5%
woman blovses 1
0.5%
women clothes 3
1.6%
women suites 1
0.5%
wooden furniture 1
0.5%
yogurt containers 1
0.5%
yogurt rocks 1
0.5%
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.
Question post text
INTERVIEWER: TOTAL DOES NOT NECESSARILY ADD UP TO 100%
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