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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / WBG_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

West Bank and Gaza, 2006
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Reference ID
WBG_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/e5ar-hr84
Producer(s)
World Bank
Collection(s)
Enterprise Surveys Fragility, Conflict and Violence
Metadata
DDI/XML JSON
Created on
Apr 28, 2011
Last modified
Sep 26, 2013
Page views
27103
Downloads
1018
  • Study Description
  • Data Description
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  • Data files
  • West Bank and
    Gaza-2006--full
    data-

EQD1_A1 (d1a1x)

Data file: West Bank and Gaza-2006--full data-

Overview

Valid: 401
Invalid: 0
Type: Discrete
Start: 132
End: 198
Width: 67
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
4-gallon containers 1
0.2%
ADSL 1
0.2%
Arak (alcoholic drink) 1
0.2%
Bed covers, duvets, and pillows 1
0.2%
Biscuit Cone 1
0.2%
Boliseed paints 1
0.2%
Bricks 1
0.2%
Bumper installation 1
0.2%
Coca Cola 1
0.2%
Cutting and manufacturing granite for kitchens, stairs, and windows 1
0.2%
Distributing and selling water 1
0.2%
Flora Soap 1
0.2%
Hummus 1
0.2%
Jeans trousers 1
0.2%
Juices 1
0.2%
Knafa 1
0.2%
Leather 1
0.2%
Mortadella 3
0.7%
Mortadella (kilo) 1
0.2%
Mosaic tiles 1
0.2%
Oxygen 1
0.2%
Pasteurized Milk 1
0.2%
Refrigerators 1
0.2%
Regular Bread (Kmaj) 1
0.2%
TV stand 1
0.2%
Total motor oil 1
0.2%
Traditional mixture 1
0.2%
Yogurt & Labaneh 1
0.2%
accommodation 1
0.2%
accommodation services 3
0.7%
advertisements 1
0.2%
advertising 2
0.5%
aluminum 1
0.2%
aluminum windows 2
0.5%
amention paints 1
0.2%
animal feed 3
0.7%
antibiotics 1
0.2%
armchair set 1
0.2%
armchairs 1
0.2%
artificial limbs 1
0.2%
audio media 1
0.2%
audio media broadcasting 1
0.2%
bags 3
0.7%
bags manufacturing 1
0.2%
baklava 1
0.2%
bamboo chairs 1
0.2%
bar neon 1
0.2%
barley grinding 1
0.2%
bedrooms 4
1%
bedrooms, furniture 1
0.2%
beer 1
0.2%
binders 1
0.2%
biscuits 4
1%
blankets and sheets 1
0.2%
blankets, covers, and duvets 1
0.2%
books 1
0.2%
bread 1
0.2%
bricks 1
0.2%
brooms 1
0.2%
building contracting 3
0.7%
building housing units 1
0.2%
building iron 1
0.2%
building marble 1
0.2%
building materials transportation 1
0.2%
building stone 2
0.5%
cabinet for electric meters 2
0.5%
cables 1
0.2%
calculating taxes 1
0.2%
car spare parts 1
0.2%
car trunks 1
0.2%
cardboard 3
0.7%
cassettes 1
0.2%
cement bricks 1
0.2%
ceramic 1
0.2%
cereal 2
0.5%
cheese 2
0.5%
chicken slaughter house 1
0.2%
children beds 1
0.2%
children toys 3
0.7%
children wear 1
0.2%
cigarettes 1
0.2%
cigarettes light 1
0.2%
cleaning materials 2
0.5%
clothes 3
0.7%
clothes for the Ministry of Health 1
0.2%
clothes manufacturing 2
0.5%
coke 1
0.2%
color golden sets 1
0.2%
commercial and apartment blocks 1
0.2%
commercials 1
0.2%
communications 1
0.2%
communications services 1
0.2%
computer maintenance 1
0.2%
computer problems solutions 1
0.2%
computer programming 2
0.5%
concentrate drink 1
0.2%
concrete 1
0.2%
confectionary 2
0.5%
construction 1
0.2%
containers 1
0.2%
contracts 1
0.2%
cookeries 1
0.2%
copper 2
0.5%
cow feed 1
0.2%
crates 1
0.2%
cream 1
0.2%
curtain design and installation 1
0.2%
cutting and installing glass 1
0.2%
cutting and selling red meat 1
0.2%
cutting and shaping iron 1
0.2%
dairy products containers 2
0.5%
delivering 1
0.2%
delivering and selling newspapers 1
0.2%
dining table set 1
0.2%
discs 1
0.2%
dish washing liquid 1
0.2%
doors 3
0.7%
drink 1
0.2%
drugs 2
0.5%
duvet fabric 1
0.2%
dye leather 1
0.2%
eastern confectionary 1
0.2%
electric keys board 1
0.2%
electric materials 1
0.2%
electric neon 2x36 1
0.2%
electric ovens 1
0.2%
electric signs 2
0.5%
electronic systems 1
0.2%
elevators 1
0.2%
excavating 2
0.5%
fences 1
0.2%
fixed bridges 1
0.2%
florescent 1
0.2%
food stuff 1
0.2%
food stuff transportation 1
0.2%
fuel tanks 1
0.2%
furniture 1
0.2%
gas ovens 1
0.2%
glass cutting 1
0.2%
glass installation 1
0.2%
golden molds 3
0.7%
goods cargo 1
0.2%
goods transportation 1
0.2%
granite 2
0.5%
gravel 2
0.5%
gravel quarry 1
0.2%
greenhouses 1
0.2%
hand soap manufacturing 1
0.2%
heat resisting pipes 1
0.2%
heating and cooling 1
0.2%
home furniture 1
0.2%
hotel 1
0.2%
hotel services 1
0.2%
hotelier 2
0.5%
hotels 1
0.2%
ice cream 1
0.2%
ice-cream 2
0.5%
insulation boards 1
0.2%
internet 1
0.2%
internet services 1
0.2%
invoices 1
0.2%
iron 1
0.2%
iron shelf-holders 1
0.2%
juice 3
0.7%
kitchens 2
0.5%
labani (soft cheese) 2
0.5%
ladies shoes 3
0.7%
ladies wear 2
0.5%
ladies' coat 1
0.2%
lampposts 1
0.2%
leasing building equipment 1
0.2%
leasing buildings, investing in real estate 1
0.2%
leasing halls 1
0.2%
leasing hangers 1
0.2%
leasing rooms 2
0.5%
leather 1
0.2%
leather bags 3
0.7%
leather jacket 1
0.2%
magazine 1
0.2%
maintenance 1
0.2%
manholes 2
0.5%
manufacturing aluminum 1
0.2%
manufacturing boxes for trucks 1
0.2%
manufacturing doors 1
0.2%
manufacturing iron doors and windows 1
0.2%
manufacturing ladies wear 2
0.5%
manufacturing men's wear 1
0.2%
manufacturing notebooks 1
0.2%
manufacturing plastics 1
0.2%
manufacturing wooden office furniture 1
0.2%
marble 1
0.2%
marble cutters 1
0.2%
marble stone 2
0.5%
marble tiles 1
0.2%
mats 2
0.5%
mattresses 2
0.5%
media broadcasting services 2
0.5%
men sandals 1
0.2%
men suits 1
0.2%
men's shoes 4
1%
men's wear 1
0.2%
metal furniture 1
0.2%
metal manholes 1
0.2%
metal shelves 1
0.2%
metal wires 1
0.2%
mixers 1
0.2%
nail varnish 1
0.2%
negro kisses (chocolate balls with white filling) 1
0.2%
neon 2
0.5%
night wear 1
0.2%
nightwear manufacturing 1
0.2%
oil 1
0.2%
olive oil 1
0.2%
olive pickles 1
0.2%
olives and pickles 1
0.2%
outgoing phone calls 1
0.2%
outsretched stones 1
0.2%
pants 2
0.5%
passenger transport services 2
0.5%
passengers transport 2
0.5%
peanuts 1
0.2%
perfumes 1
0.2%
photocopiers maintenance 1
0.2%
photocopying 1
0.2%
pita bread 1
0.2%
plastic 2
0.5%
plastic bags 2
0.5%
plastic barrels 1
0.2%
plastic containers 1
0.2%
plastics 1
0.2%
potato chips 3
0.7%
printing books 1
0.2%
production 1
0.2%
programming 1
0.2%
promotional materials 1
0.2%
public transport 1
0.2%
publishing magazine 1
0.2%
publishing newspapers 1
0.2%
radio broadcasting services 1
0.2%
ready mix concrete 3
0.7%
refrigerators 1
0.2%
reserving hotels abroad 1
0.2%
road contracting 1
0.2%
rooms 1
0.2%
rooms letting 1
0.2%
rubber 1
0.2%
seeds 1
0.2%
selling apartments 1
0.2%
selling computer programs 1
0.2%
sesame 2
0.5%
sesame oil 1
0.2%
sewing machines repair 1
0.2%
shaped iron 1
0.2%
shoes 1
0.2%
soda drinks 2
0.5%
soft 4 tissues 1
0.2%
soft tissues 1
0.2%
soft tissues (kilo) 1
0.2%
solar panels 4
1%
sponge 2
0.5%
sponge mattresses 1
0.2%
springs mattress 1
0.2%
stone 2
0.5%
stone cutter 1
0.2%
stone cutting 1
0.2%
stone gold 1
0.2%
stone jewelry 1
0.2%
stones, bricks 1
0.2%
straight iron 1
0.2%
table cloth 1
0.2%
tables 1
0.2%
tailoring 2
0.5%
tarmac 2
0.5%
tarmac mix 1
0.2%
taxi services 3
0.7%
televised service 1
0.2%
textbooks 1
0.2%
thyme 1
0.2%
tissues 2
0.5%
tobacco 1
0.2%
toilet paper 1
0.2%
tractor 1
0.2%
tractors maintenance 1
0.2%
trash bags 1
0.2%
twin ice-cream 1
0.2%
used iron 1
0.2%
vegetable ghee 1
0.2%
vegetables warehousing 2
0.5%
washing machines 1
0.2%
washing powder 1
0.2%
water 1
0.2%
water mixtures 1
0.2%
water paints 1
0.2%
water pipes 1
0.2%
water pumps 1
0.2%
welding bars 1
0.2%
wheat 4
1%
wheat manufacturing 1
0.2%
white bread 1
0.2%
white wheat 1
0.2%
window frame 1
0.2%
windows 1
0.2%
women wear 1
0.2%
wooden boards 1
0.2%
wooden crates 1
0.2%
wooden doors 1
0.2%
woods 1
0.2%
wool 1
0.2%
workers transport 1
0.2%
yoghurt 1
0.2%
yogurt 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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