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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / SYR_2009_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2009

Syrian Arab Republic, 2009
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Reference ID
SYR_2009_ES_v01_M_WB
DOI
https://doi.org/10.48529/9k88-r910
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 30, 2011
Last modified
Aug 17, 2017
Page views
32092
Downloads
931
  • Study Description
  • Data Description
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  • Syria-2009--full
    data-

First Product Description (q7a1)

Data file: Syria-2009--full data-

Overview

Valid: 337
Invalid: 0
Type: Discrete
Start: 117
End: 147
Width: 31
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Aba (Syrian traditional wear) 1
0.3%
Air conditioner 1
0.3%
Aluminium boards 1
0.3%
Aluminium for construction 1
0.3%
Aluminium for proofing 1
0.3%
Animal feed 5
1.5%
Animal feeding 3
0.9%
Animal feeds 1
0.3%
Antibiotic 1
0.3%
Antibiotics 1
0.3%
Artificial plants 1
0.3%
Bag 1
0.3%
Batteries 1
0.3%
Biscuit 1
0.3%
Biscuits 1
0.3%
Biscuits packages 1
0.3%
Blanket 1
0.3%
Block 1
0.3%
Blouse 1
0.3%
Boys’ clothes 1
0.3%
Building materials 2
0.6%
Cable holder 1
0.3%
Cable tray 1
0.3%
Candies 1
0.3%
Car refrigerator 1
0.3%
Caramel 1
0.3%
Cardiac pharmaceuticals 1
0.3%
Carpet preparation 1
0.3%
Carpeting 1
0.3%
Carpets 1
0.3%
Carton boxes 1
0.3%
Ceramic products 1
0.3%
Chairs 1
0.3%
Cheese 2
0.6%
Chicken peas 1
0.3%
Chicks 1
0.3%
Chocolate 2
0.6%
Chocolates 1
0.3%
Citrus 1
0.3%
Cleaning materials 1
0.3%
Cleaning materials & chemicals 1
0.3%
Cleaning/soap products 1
0.3%
Coffee meals 1
0.3%
Collateral, real estate 1
0.3%
Concrete 2
0.6%
Construction materials 1
0.3%
Construction of building 1
0.3%
Construction work 1
0.3%
Cooling systems 1
0.3%
Copper rods 1
0.3%
Corn starch 1
0.3%
Cotton 1
0.3%
Cotton cloth 1
0.3%
Cotton clothes 2
0.6%
Cotton dyeing 1
0.3%
Cotton pyjamas 1
0.3%
Cotton textile 1
0.3%
Cotton threads 2
0.6%
Cotton wear 4
1.2%
Cow feeds 1
0.3%
Crackers (food) 1
0.3%
Crème Chantilly 1
0.3%
Curtains 1
0.3%
Dairy products 1
0.3%
Daphne soap 1
0.3%
Detergents 1
0.3%
Double glaze system 1
0.3%
Droplet irrigation tubes 1
0.3%
Dry milk 1
0.3%
Dyeing clothes 2
0.6%
Dying hair 1
0.3%
ERP software 1
0.3%
Electric heaters 1
0.3%
Electric industrial equipments 1
0.3%
Electric keys 1
0.3%
Elevators 2
0.6%
Embroidery 1
0.3%
Fabric 1
0.3%
Fabrics 1
0.3%
Fan 1
0.3%
Fertilizers 1
0.3%
Filter 1
0.3%
Filters for all kind of cars 1
0.3%
Flagstones 1
0.3%
Floors 1
0.3%
Flour 2
0.6%
Folding doors 1
0.3%
Food machines 1
0.3%
Footwear 1
0.3%
Frozen chicken 1
0.3%
Frozen meat 1
0.3%
Full chicken 1
0.3%
Furnishing fabrics 3
0.9%
Furniture 1
0.3%
Furniture - hardware 1
0.3%
GRC cement 1
0.3%
Grain 1
0.3%
Growing of rice 1
0.3%
Hair dyeing 1
0.3%
Hair remover (expilation) 1
0.3%
Hard cheese 1
0.3%
Hardware 1
0.3%
Industrial machine services 1
0.3%
Industrial refrigerator 1
0.3%
Insecticide 1
0.3%
Iron 12mm 1
0.3%
Irrigation tubes 1
0.3%
Jacket 1
0.3%
Jackets 2
0.6%
Jam 1
0.3%
Jeans 2
0.6%
Jeans for men 1
0.3%
Juice 2
0.6%
Kids wear 4
1.2%
Kids wearing 1
0.3%
Kids wears 1
0.3%
Kids’ clothes 1
0.3%
Kids’ garments 1
0.3%
Kids’ tricot wear 1
0.3%
Kitchen accessories 1
0.3%
Knitted clothing 1
0.3%
Knitted wearing apparel 1
0.3%
Lady sweaters 1
0.3%
Lady's clothes 1
0.3%
Lady's suit 1
0.3%
Leather treatments 1
0.3%
Lighting for artificial roofs 1
0.3%
Lingerie 2
0.6%
Machines 1
0.3%
Man suit (mod.22) 1
0.3%
Mannequins 1
0.3%
Marmalade 1
0.3%
Meat & chicken 1
0.3%
Medical arm band-wrest band 1
0.3%
Medical lenses 1
0.3%
Medical textile 1
0.3%
Medicine syrups 1
0.3%
Medicines 1
0.3%
Melamine 1
0.3%
Men clothes 1
0.3%
Men shirts 1
0.3%
Men suits 2
0.6%
Men underwear 1
0.3%
Men wear 1
0.3%
Men’s socks 1
0.3%
Metallic blinds 1
0.3%
Milk & soda distribution 1
0.3%
Mineral water 1
0.3%
Mobile phones 1
0.3%
Molasses 1
0.3%
Mop 1
0.3%
Napkin liners for babies 1
0.3%
Notebooks 1
0.3%
Nylon 1
0.3%
Oil 1
0.3%
Oil extracts 1
0.3%
Olive oil 6
1.8%
Olive oil bottling 1
0.3%
Olives 1
0.3%
Organic fertilizers 1
0.3%
Orthopaedic shoes 1
0.3%
Outer switch (20k.volt) 1
0.3%
Paints 2
0.6%
Paper board 1
0.3%
Peanut 1
0.3%
Peanuts salted 1
0.3%
Pepsi cola 1
0.3%
Pharmaceuticals 1
0.3%
Phone cables 1
0.3%
Pipe 1
0.3%
Plant propagation 1
0.3%
Plasters 1
0.3%
Plastic 1
0.3%
Plastic bags 1
0.3%
Plastic bags in large size 1
0.3%
Plastic cabinets 1
0.3%
Plastic sacks 1
0.3%
Plastic shields 1
0.3%
Plastic slippers 2
0.6%
Polish sponge 1
0.3%
Polyester 1
0.3%
Potato chips 2
0.6%
Potato products 1
0.3%
Poultry breeding 1
0.3%
Praying carpets 1
0.3%
Prefabricated houses 1
0.3%
Print 1
0.3%
Printing and packaging 1
0.3%
Processing units 1
0.3%
Production lines (for dates) 1
0.3%
Production of eggs 1
0.3%
Pyjamas 1
0.3%
Raw material for food (oil) 1
0.3%
Raw materials for paints-alkyd 1
0.3%
Refined olive oil 1
0.3%
Refrigerators 1
0.3%
Rice 1
0.3%
Salt 1
0.3%
Scarves 1
0.3%
School uniforms 1
0.3%
Seeds 1
0.3%
Sets women 1
0.3%
Shirt 1
0.3%
Shirts 3
0.9%
Shoes 2
0.6%
Skirts 1
0.3%
Soft drink 2
0.6%
Soft drinks 4
1.2%
Solar power cells 1
0.3%
Spices 2
0.6%
Sport clothes 2
0.6%
Sport shoes 2
0.6%
Steam generator 1
0.3%
Steel 1
0.3%
Stumping, roll forming of metal 1
0.3%
Suits 1
0.3%
Surgical sterile strings 1
0.3%
Surveying instruments 1
0.3%
Sweaters 1
0.3%
Sweets 1
0.3%
Syrian sweets 2
0.6%
T shirts 1
0.3%
T-shirt 1
0.3%
T-shirts 1
0.3%
Tablets 1
0.3%
Textiles 1
0.3%
Thread 1
0.3%
Threads 4
1.2%
Tippers 1
0.3%
Tissues 1
0.3%
Tomato juice 1
0.3%
Tomato paste 1
0.3%
Tomato sauce 2
0.6%
Topcoat 1
0.3%
Towels 5
1.5%
Traditional soap 1
0.3%
Transportation 2
0.6%
Tricot 3
0.9%
Tricot clothes 1
0.3%
Trousers 1
0.3%
Tubes 1
0.3%
Turkish coffee 1
0.3%
Twisted metal 1
0.3%
Under wear 1
0.3%
Underwear 3
0.9%
Uniforms 1
0.3%
Velvet threads 1
0.3%
Vertical farming 1
0.3%
Virgin oil 1
0.3%
Vitamins 2
0.6%
Wafer biscuits 1
0.3%
Warehouse shelves 1
0.3%
Washing powder 1
0.3%
Washing up liquid 1
0.3%
Water based cooling machine 1
0.3%
Water heating by solar energy 1
0.3%
Water proof materials 1
0.3%
Wearing apparel 1
0.3%
Weaving of textile 1
0.3%
Weaving of textiles 1
0.3%
Wedding cards 1
0.3%
Wheat & sugar 1
0.3%
Women shoes 2
0.6%
Women wear 4
1.2%
Women wearing 1
0.3%
Women’s wea 1
0.3%
Wood cupboard 1
0.3%
Wood furniture 1
0.3%
Wool threads 1
0.3%
Writing and printing paper 1
0.3%
Yoghurt & derivatives 1
0.3%
Young chicken 1
0.3%
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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