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    Home / Central Data Catalog / KEN_2007_ES_V01_M_WB / variable [F2]
central

Enterprise Survey 2007

Kenya, 2007
World Bank
Created on June 01, 2022 Last modified June 01, 2022 Page views 72242 Metadata DDI/XML JSON
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  • Kenya-2007--full
    data-1
CSV JSON

First: (c3a1)

Data file: Kenya-2007--full data-1

Overview

Valid: 520
Invalid: 0
Type: Discrete
Width: 56
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
400 g bread 1
0.2%
50 kg sugar 1
0.2%
7 seater sofa sers 1
0.2%
Aluminium Kitchen ware products 1
0.2%
Aluminum sulplate 1
0.2%
Animal feeds 1
0.2%
Antimalaria 1
0.2%
Antimalaria products 1
0.2%
Automotive Filters 1
0.2%
Baker moduch bread cakes etc 1
0.2%
Baking Chapati 1
0.2%
Baking powder 1
0.2%
Batik garment 1
0.2%
Battery Charging 1
0.2%
Beans 1
0.2%
Bed sheets, protective cloth 1
0.2%
Beddings 1
0.2%
Beds 1
0.2%
Beef 3
0.6%
Beer Soft Drinks Beverages 1
0.2%
Bicycle Repairs 1
0.2%
Biscuits 1
0.2%
Blankets 1
0.2%
Blankets (cotton) 1
0.2%
Books 1
0.2%
Bread 4
0.8%
Bread & scanes 1
0.2%
Bridal gowns 1
0.2%
Bridal wear 1
0.2%
Brown Bread 1
0.2%
Building Timber 1
0.2%
Cailes 1
0.2%
Cakes (especially weddings and birthday cakes) 1
0.2%
Candies 1
0.2%
Candles 2
0.4%
Cartons 1
0.2%
Cement paper sacks 1
0.2%
Charcoal 1
0.2%
Chicken 1
0.2%
Chicken feeds boilers mash, layers marsh 1
0.2%
Cloth Ironing 1
0.2%
Clothes 1
0.2%
Clothes making 1
0.2%
Clothing sweaters 1
0.2%
Coffee 3
0.6%
Coffin 1
0.2%
Computer maintenance 1
0.2%
Container Glass 1
0.2%
Cosmetics 1
0.2%
Cotton clothing 1
0.2%
Cotton shirts 1
0.2%
Curtains 1
0.2%
Detergents 1
0.2%
Dress Making 1
0.2%
Dress making 1
0.2%
Dresses 1
0.2%
Dressmaking 1
0.2%
Duke Female Socks 1
0.2%
Electric cables 1
0.2%
Electrical cables (for wiring of houses industries) 1
0.2%
Electrical lighting 1
0.2%
Empty tea pockets 1
0.2%
Ename ware 1
0.2%
Exercise books 1
0.2%
Fine instant tea 1
0.2%
Fire equipment 1
0.2%
Fish 1
0.2%
Floor mats (fiber) 1
0.2%
Food Stuffs 1
0.2%
Food spices 1
0.2%
Food stuffs 1
0.2%
Fully made shoe 1
0.2%
Furniture 4
0.8%
Furniture and wall Units sofa-seats 1
0.2%
Furnitures 1
0.2%
Galvonised Pines 1
0.2%
Garments 3
0.6%
Gawawisred Sheets 1
0.2%
Hides and skins 1
0.2%
Hot Beverages 1
0.2%
Instana Coffee 1
0.2%
Jam 1
0.2%
Joinery 1
0.2%
Kamba Chondos 1
0.2%
Kapesalt (iodized table salt) 1
0.2%
Kikoyi outfits 1
0.2%
King maziwa 7411 polythene bags 1
0.2%
Kitchen salt 1
0.2%
LOOSE COVERS (SEAT COVERS) 1
0.2%
Ladies Outfits 1
0.2%
Ladies Wear (polyster suits) 1
0.2%
Ladies and gents suits 1
0.2%
Ladies dress 1
0.2%
Ladies dresses 1
0.2%
Ladies outfit 1
0.2%
Ladies wear 1
0.2%
Ladies wear (jeans) 1
0.2%
Ladies weear 1
0.2%
Lenses 1
0.2%
Luggage transportation 1
0.2%
Maize Flour 1
0.2%
Maize Mill 1
0.2%
Maize flour 1
0.2%
Maize flour (Dola white maize Flour) 1
0.2%
Maize grinding 1
0.2%
Meat 1
0.2%
Meat (sirloin etc) 1
0.2%
Men's suits 2
0.4%
Mens klear 1
0.2%
Metal Boxes 1
0.2%
Metal Container 1
0.2%
Milk 2
0.4%
Minced Meat 1
0.2%
Minced meat 1
0.2%
Mobile phones 1
0.2%
Other security documents 1
0.2%
Packaged Raw chicken 1
0.2%
Packagins materials (plastic containers) 1
0.2%
Phoshi Bags 1
0.2%
Plain Garments 1
0.2%
Plain Textile 1
0.2%
Plastic Bags 1
0.2%
Plastic Bottles 1
0.2%
Plastic container 1
0.2%
Plastic containters 1
0.2%
Polythene bags (9 x 15 colourless) 1
0.2%
Potato crisp 1
0.2%
Potato crisps 1
0.2%
Printed exercise books 1
0.2%
Pure Tropical Honey 1
0.2%
Raw tea 1
0.2%
Repair of electronic equipment 1
0.2%
Rice 1
0.2%
Roofing tiles 1
0.2%
Rubber shoes 1
0.2%
SOFA SETS 1
0.2%
School Uniforms 1
0.2%
School Uniforms Protective Clothes 1
0.2%
Second hand clothes 1
0.2%
Shaving 1
0.2%
Shirts 1
0.2%
Shoe shining 1
0.2%
Silk garments 1
0.2%
Skin care lotion & deodorant 1
0.2%
Skirt suit 1
0.2%
Skirts 1
0.2%
Slippers (rubber) 1
0.2%
Sodium Silicate Grade 1 1
0.2%
Sofa Sets 1
0.2%
Spare Parts 1
0.2%
Stationary books 1
0.2%
Steel Doors Windows, gases 1
0.2%
Steel Drums for Petroleum Products 1
0.2%
Suit materials 1
0.2%
Sulphuric Acid 1
0.2%
Sulphuric acid 1
0.2%
Tailored Garments 1
0.2%
Tea 1
0.2%
Thermos containers 1
0.2%
Timber 2
0.4%
Tomato sauce, Fruits vegetables processing and packaging 1
0.2%
Tomatoes 1
0.2%
Tomatoes and onions 1
0.2%
Town transport collective service 1
0.2%
Trailers 3 axlers 1
0.2%
Travelling bags (non leather) 1
0.2%
Trousers 1
0.2%
Trousers (ladies jeans) 1
0.2%
Uniforms 1
0.2%
Wall Painting and decorating 1
0.2%
Washing vehicles 1
0.2%
Wearing apparels 1
0.2%
Wedding gowns 1
0.2%
Welding rods 1
0.2%
Wheat products (bakeries) 1
0.2%
White bread 1
0.2%
Windows 1
0.2%
Wood Carving 1
0.2%
Wood wood product and furniture 1
0.2%
agricultural coach worker 1
0.2%
alcohol 2
0.4%
aluminium sulfate 1
0.2%
automobile filters 1
0.2%
bakery products 1
0.2%
bakery products ie cakes pastries 1
0.2%
baking cakes pastry buns 1
0.2%
ballast 1
0.2%
bar soap 1
0.2%
bars of soap 1
0.2%
baskets for fish 1
0.2%
bed 1
0.2%
beds 2
0.4%
bedsheets 1
0.2%
biscuits 1
0.2%
bituman emulsions 1
0.2%
blankets baby shawls and kikoi 1
0.2%
blankets made from cotton and wool 1
0.2%
blankets made from wool and cotton 1
0.2%
block machines 1
0.2%
bloze shin 1
0.2%
body manufacturing 1
0.2%
body oil & cream 1
0.2%
bottled water 1
0.2%
boxes 1
0.2%
braiding 1
0.2%
bread 9
1.7%
bread loafs 1
0.2%
bread white 1
0.2%
breads 3
0.6%
breakfast cereal porridge oats 1
0.2%
bricks made from sand and cement 1
0.2%
broiler finisher and chicken mash 1
0.2%
broom sticks doors and frames 1
0.2%
brushes 1
0.2%
building blocks flower pots ballast 1
0.2%
bus body building 1
0.2%
butcheries beet sausages 1
0.2%
buttons 1
0.2%
cabinets 2
0.4%
cakes bread 1
0.2%
candies 1
0.2%
canter bodies 1
0.2%
canvas material tents 1
0.2%
capital plant and equipement 1
0.2%
cardigans 1
0.2%
carton boxes and cones 1
0.2%
charcoal 1
0.2%
cheetah matches (wooden) 1
0.2%
chicken feed 1
0.2%
chicken meat 1
0.2%
chips 1
0.2%
civil engineering construction material 1
0.2%
clay products 1
0.2%
clothes 2
0.4%
clothes - knittwares 1
0.2%
clothings 2
0.4%
coach work 1
0.2%
coats 1
0.2%
cofrid tablets 1
0.2%
coke 300 ml 1
0.2%
computer stationery 1
0.2%
condoms, gloves 1
0.2%
containers 1
0.2%
cooking fat 2
0.4%
cooking salt 1
0.2%
coorperate uniform 1
0.2%
corportate furniture 1
0.2%
cosmetics 2
0.4%
couph syrup - gestacof -tri 1
0.2%
curtains 3
0.6%
dagaa nets 1
0.2%
daily meal layers mash broilers mash 1
0.2%
daily meals 1
0.2%
dairy feeds 1
0.2%
dairy products 1
0.2%
divobrie 1.45 1
0.2%
drawing and design 1
0.2%
edible oils 1
0.2%
eggs 2
0.4%
embroidery 1
0.2%
exercise 1
0.2%
exercise books 1
0.2%
fabric towels made from cotton 1
0.2%
fabricating metals 1
0.2%
fabrication of machinery 1
0.2%
fabrication of metal products 1
0.2%
farm appliances (jembes, pangas, slashers) 1
0.2%
fish 2
0.4%
fish nets 1
0.2%
flowers 1
0.2%
foam mattress 1
0.2%
food and drinks 1
0.2%
food stuffs 2
0.4%
forging, pressing, stamping, tull-farming 1
0.2%
frying pans 1
0.2%
furniture 4
0.8%
furnitures 1
0.2%
furnitures and others 1
0.2%
garment 1
0.2%
garments 5
1%
gaskeys 1
0.2%
gears & privacy elements 1
0.2%
general storage 1
0.2%
gin 1
0.2%
grain meal products e.g. porridge flour 1
0.2%
grain product 1
0.2%
grains 1
0.2%
grains for human feeds 1
0.2%
hair cuts 1
0.2%
hair plaiting 1
0.2%
hair shaving 1
0.2%
heavy duty exhaust systems 1
0.2%
home appliances 1
0.2%
hospital furniture 1
0.2%
industrial chemical 1
0.2%
industrial chemicals 1
0.2%
industrial gases 1
0.2%
industrial unform 1
0.2%
installation of water equipments 1
0.2%
irigation pumps 1
0.2%
iron shapes 1
0.2%
jeans 1
0.2%
jeans wear 1
0.2%
jeans wears 1
0.2%
jiko 2
0.4%
juices 1
0.2%
labels 1
0.2%
ladies fittings 1
0.2%
ladies weaar jeans 1
0.2%
ladies wear 1
0.2%
ladies wear jeans and pajamas 1
0.2%
lady wise xanitary towels 1
0.2%
layers mash, broiler finisher 1
0.2%
leather products 1
0.2%
lime (mixed with cement, sand) chemical 1
0.2%
macadamia 1
0.2%
maize (mitted) 1
0.2%
maize flour 2
0.4%
maize meal 2
0.4%
making flush doors bee doors plywood etc 1
0.2%
making ladies suits and school uniforms 1
0.2%
making school uniforms and ladies&mens suits 1
0.2%
manufacture of garments 2
0.4%
manufacture of metal fabrications 1
0.2%
manufacture of non-metalic mineral products 1
0.2%
manufacture of other food products 1
0.2%
manufacture of steal doors windows 1
0.2%
manufacture of structural metal products 1
0.2%
manufacture of tanks, reservoirs and containers 1
0.2%
memorial stones 2
0.4%
men suits 1
0.2%
men's suits 1
0.2%
men's sweaters 1
0.2%
mens leather shoes 1
0.2%
mens wear 2
0.4%
mens wear (jeans) 1
0.2%
metal 1
0.2%
metal boxes 2
0.4%
metal fabrications 1
0.2%
metal gates 1
0.2%
metal rods 1
0.2%
metal windows 1
0.2%
milk 1
0.2%
minced meat 1
0.2%
mineral water 1
0.2%
mineral water and juice 1
0.2%
mosquito bed nets 1
0.2%
mosquito coils 2
0.4%
moter vehicule body building 1
0.2%
motor vehicles 1
0.2%
motor vehicule bodies 1
0.2%
movies 1
0.2%
office furniture 2
0.4%
offset printing 1
0.2%
orange juice 1
0.2%
ornamental glasses 1
0.2%
overall industrial clothing 1
0.2%
overalls & lab coats 1
0.2%
ox ploughs 1
0.2%
packaged juices 1
0.2%
packing paper 1
0.2%
paints 1
0.2%
pesticides 1
0.2%
pillows 1
0.2%
plain mormenly 1
0.2%
plastic and plastic containers 1
0.2%
plastic containers 1
0.2%
plastic tanks 1
0.2%
polyester yarn 1
0.2%
polythene sheetings 1
0.2%
portable rectified spirit 1
0.2%
posho mill bodies 1
0.2%
pre-fabricated houses 1
0.2%
preparation and spinning of textiles 1
0.2%
printed shirts 1
0.2%
printing 3
0.6%
printing books brochures and magazines 1
0.2%
printing brochures 2
0.4%
printing bronchres cards,books 1
0.2%
printing ink 1
0.2%
processed fish 1
0.2%
producing medicine, pain killers 1
0.2%
protective wear (gear), clothes, shoes, boots 1
0.2%
publishing of magazines and brochures 1
0.2%
pulovers cespecially school uniforms 1
0.2%
pvc pipes 1
0.2%
radio cassettes 1
0.2%
retreading of tyres 1
0.2%
roofing tiles 1
0.2%
rope spinning (fabric) 1
0.2%
rubber tyres 1
0.2%
sausages 2
0.4%
school uniforms 2
0.4%
scouring Pad 1
0.2%
scratch cards 1
0.2%
second hand dresses 1
0.2%
sell of kids clothes 1
0.2%
selling coconuts 1
0.2%
selling fish 1
0.2%
selling food and beverages 1
0.2%
selling maize grains 1
0.2%
selling metal pipes 1
0.2%
selling of second hand kids clothes 1
0.2%
selling of sofa sets 1
0.2%
selling of soil 1
0.2%
selling shoes 1
0.2%
semi finished leather 1
0.2%
sewing thread 1
0.2%
ship building 1
0.2%
shoe repair 1
0.2%
shoes 1
0.2%
short cake biscuits 1
0.2%
skirt suits 2
0.4%
sodas 1
0.2%
sofa sets 6
1.2%
sofa sets dining tables and wall units 1
0.2%
sofasets 1
0.2%
soft drinks 1
0.2%
solar batteries, can vehicle batteries 1
0.2%
sota sets 1
0.2%
sour milk 1
0.2%
spectacle frames 1
0.2%
sports ware 1
0.2%
staff uniform 2
0.4%
steel 2
0.4%
steel pipes 1
0.2%
steel tube and pipes 1
0.2%
stools 1
0.2%
straws 1
0.2%
sugar 50kg 1
0.2%
sweaters 1
0.2%
t-shirts and pullovers 1
0.2%
tailoring & dressmaking 1
0.2%
tailoring and related services 1
0.2%
tea 1
0.2%
tents 1
0.2%
timber 1
0.2%
timber sales 1
0.2%
tires 1
0.2%
towel 1
0.2%
treatment 1
0.2%
uniform 1
0.2%
uniforms 2
0.4%
various medecines (including for aids) 1
0.2%
wall unit 1
0.2%
white bread 1
0.2%
women's blouses 1
0.2%
womens dresses 1
0.2%
wood products 1
0.2%
wooden carvings 1
0.2%
woolen materials and knitting threads 1
0.2%
yarn 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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