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    Home / Central Data Catalog / ARM_2019_MS_V01_M / variable [F3]
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Micro-Enterprise Survey 2019

Armenia, 2019 - 2020
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Reference ID
ARM_2019_MS_v01_M
Producer(s)
World Bank Group (WBG)
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
6518
Downloads
157
  • Study Description
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  • armenia_micro_2019_full_data

Main Product/Service (By The Largest % of Annual Sales) In Last Fiscal Year (d1a1x)

Data file: armenia_micro_2019_full_data

Overview

Valid: 120
Type: Discrete
Start: 180
End: 316
Width: 137
Range: -
Format: character

Questions and instructions

Literal question
D.1a1. In fiscal year [Insert last complete fiscal year], what was this establishment's main activity and product, that is, the activity and product that represented the largest proportion of annual sales? Detailed description of main activity and product
Categories
Value Category Cases
A Bistro (Small Cafe) That Sells Barbecue, Shaurma, Kebab 1
0.8%
A Cafe For Celebrations 1
0.8%
A Grocery Store Selling Food, Drinks, Cigarettes 1
0.8%
Airline Ticket Sale 1
0.8%
Airline Tickets Sales 1
0.8%
Beekeeping From Different Flowers. Production Of Beverages From Honey 1
0.8%
Bistro 1
0.8%
Bistro (Small Cafe) 1
0.8%
Building Materials, Construction Networks 1
0.8%
Building Stones And Tombstones 1
0.8%
Cafe, Selling Barbeque And Kebab 1
0.8%
Cafe, With Armenian And International Dishes 1
0.8%
Children'S Clothing 1
0.8%
Children'S Clothing And Lingerie Store 1
0.8%
Coffee Production 1
0.8%
Cosmetics, Hair Dyes 1
0.8%
Everyday Clothes For Women, Men And Children 1
0.8%
Fast Food Point. Dishes, Barbecue, Kebab, Ikibir 1
0.8%
Fast Food, Beverage Sales 1
0.8%
Furniture Mostlty Made Out Of Wood 1
0.8%
Furniture Production. Table, Chair, Kitchen Furniture, Closet, Bed 1
0.8%
Gold, Pendants, Crosses 1
0.8%
Grocery Store, Mainly Selling Organic Armenian Products (Honey, Compotes, Drinks, Mulberries, Canned Food, Dairy Products, Meat Products) 1
0.8%
Ice Cream Production. Vanilla, Fruit, Strawberry, Cherry, Red Currant, Raspberry, Lemon, Chocolate 1
0.8%
Kitchen And Living Room Furniture 1
0.8%
Kvass Production 1
0.8%
Manufacture Of Bakery Products, Cakes 1
0.8%
Manufacture Of Laminate And Mdf Furniture 1
0.8%
Manufacture Of Laminate Furniture 1
0.8%
Manufacture Of Metal Remote Control Gates, Benches 1
0.8%
Manufacture Of Stamps 1
0.8%
Manufacture Of Wooden Doors And Items 1
0.8%
Manufacturing Of Canned Meat 1
0.8%
Manufacturing Of Clothes For Men And Women 1
0.8%
Manufacturing Of Daily And Evening Dresses 1
0.8%
Manufacturing Of Eastern Sweets, Such As Bakhlava 1
0.8%
Manufacturing Of Metal Recifiers 1
0.8%
Manufacturing Of Plastic Windows And Doors 1
0.8%
Manufacturing Of Puff Pastry, Biscuits 1
0.8%
Manufacturing Of Restaurant Uniforms 1
0.8%
Manufacturing Of Silver Jewelry 1
0.8%
Manufacturing Of Souvenirs With A Wooden Frame 1
0.8%
Metal Acceptance, Processing, Alignment, Cutting 1
0.8%
Natural Fur Coats 1
0.8%
Passenger land transport 1
0.8%
Perfume Shop 1
0.8%
Plastic Containers, Bottles, Cosmetics Containers For Powders, Lipsticks, Eye Shadows 1
0.8%
Preparation/Printing Of Boards, Billboards, Runners For Outdoor Advertising 1
0.8%
Production Of Cakes 1
0.8%
Production Of Canned Fruits And Vegetables 1
0.8%
Production Of Different Kinds Of Cheese: Cottage Cheese, Cheese, / Suluguni, Mozzarella Cheese / 1
0.8%
Production Of Fruit Alcoholic Beverages. Vodka 1
0.8%
Production Of Herbal Teas And Black Teas 1
0.8%
Production Of Semi-Finished Products. Cutlet, Khinkali, Pelmeni 1
0.8%
Production Of Vegetable Oils 1
0.8%
Repair Of Car Parts, Mostly Tires 1
0.8%
Repair Of Motor Vehicles 2
1.7%
Repair Of Motor Vehicles, 1
0.8%
Retail Sale Of Baby Clothes 1
0.8%
Retail Sale Of Bakery, Beverages, Dairy Products, Sweets 1
0.8%
Retail Sale Of Books 1
0.8%
Retail Sale Of Car Lubricating Products And Filters For Motor Vehicles 1
0.8%
Retail Sale Of Cigarettes 1
0.8%
Retail Sale Of Computer Parts 1
0.8%
Retail Sale Of Computers 1
0.8%
Retail Sale Of Construction Materials 1
0.8%
Retail Sale Of Different Types Of Cream Pastries 1
0.8%
Retail Sale Of Evening Dresses 1
0.8%
Retail Sale Of Flowers 1
0.8%
Retail Sale Of Food 1
0.8%
Retail Sale Of Glass And Glass Decor 1
0.8%
Retail Sale Of Hoverboards, Scooters And Skates 1
0.8%
Retail Sale Of Lingerie 1
0.8%
Retail Sale Of Locally Produced Clothing 1
0.8%
Retail Sale Of Men'S Wear 1
0.8%
Retail Sale Of Men'S And Women'S Clothing 1
0.8%
Retail Sale Of Men'S Clothing 1
0.8%
Retail Sale Of Pharmaceuticals And Cosmetics 1
0.8%
Retail Sale Of Pharmaceuticals, Cosmetic Articles 1
0.8%
Retail Sale Of Plates, Cups, Tableware 1
0.8%
Retail Sale Of Toys 1
0.8%
Retail Sale Of Toys And Bicycles 1
0.8%
Retail Sale Of Various Foods, Dairy Products, Meat Products, Sweets, 1
0.8%
Retail Sale Of Women'S Clothing 1
0.8%
Retail Sale Of Women'S Shoes Made Out Of Leather 1
0.8%
Retail Sale Of Wood Blocks 1
0.8%
Sale Of Motor Oils 1
0.8%
Sale And Of Mobile Phones 1
0.8%
Sale Of Air Tickets 1
0.8%
Sale Of Cables For Eletricity Transmition 1
0.8%
Sale Of Car Spare Parts 1
0.8%
Sale Of Children'S Shoes 1
0.8%
Sale Of Clothes For Babies 1
0.8%
Sale Of Computers 1
0.8%
Sale Of Diesel Fuel And Gasoline 1
0.8%
Sale Of Explosives 1
0.8%
Sale Of Flowers 1
0.8%
Sale Of Flowers. Roses, Tulips, Carnations, Etc. 1
0.8%
Sale Of Men'S Natural And Artificial Leather Shoes 1
0.8%
Sale Of Mobile Phones And Accessories 1
0.8%
Sale Of Motor Vehicle Spare Parts 1
0.8%
Sale Of Small Household Electronics 1
0.8%
Sale Of Stationery 1
0.8%
Sale Of Women Clothes 1
0.8%
Sale Of Women'S And Men'S Clothing 1
0.8%
Sale Of Women'S And Men'S Fur Coats 1
0.8%
Selling Womens Shoes And Bags 1
0.8%
Stationery, Souvenirs 1
0.8%
Stone Production, Pumice Block 1
0.8%
Tavern And Beer 1
0.8%
Wholesale Of Sweets 1
0.8%
Women'S Clothing 2
1.7%
Women'S Clothing In Addition To Underwear And Shoes 1
0.8%
Women'S Clothing Of Various Styles, Mainly Dresses, Blouses 1
0.8%
Women'S Leather And Fabric Bags, Sports Bags, Men'S Wallets 1
0.8%
Women'S Silver Jewelry, There Is Also For Men. We Also Offer Online Sales 1
0.8%
Womens Clothes 1
0.8%
Wooden And Laminate Furniture 1
0.8%
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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