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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / KEN_2007_ES_V01_M_WB / variable [F2]
enterprise_surveys

Enterprise Survey 2007

Kenya, 2007
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Reference ID
KEN_2007_ES_v01_M_WB
DOI
https://doi.org/10.48529/rmay-g040
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
May 17, 2011
Last modified
Sep 26, 2013
Page views
42442
Downloads
3352
  • Study Description
  • Data Description
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  • Kenya-2007--full
    data-1

Second: (c3b1)

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

Overview

Valid: 520
Invalid: 0
Type: Discrete
Start: 286
End: 336
Width: 51
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
-44 146
28.1%
200 g brown bread 1
0.2%
Aluminium Roofing Sheets 1
0.2%
Aluminum coated 1
0.2%
Antibiotics 2
0.4%
Apparel 1
0.2%
BELTS 1
0.2%
Bedding Products 1
0.2%
Beds 1
0.2%
Beef 1
0.2%
Best maid dresses 1
0.2%
Black Beans 1
0.2%
Boxer shorts, pyjamas 1
0.2%
Brown Buns 1
0.2%
CD Writng Type setting Printing 1
0.2%
Cakes 3
0.6%
Canvas Shoes 1
0.2%
Carbon monoxide 1
0.2%
Cards and receipts, registers, folders 1
0.2%
Chemical products, paint, adhesives 1
0.2%
Chemicals ie Distilled H2O & Acids 1
0.2%
Cheques 1
0.2%
Chicken 1
0.2%
Children Socks 1
0.2%
Children wear 1
0.2%
Childrens Wear (cotton) 1
0.2%
Childrens wear Cotton shirts 1
0.2%
Chocolates 1
0.2%
Chorine 1
0.2%
Clothes repair 1
0.2%
Clothes- Shirts and trousers 1
0.2%
Cooking oil 1
0.2%
Copper winding wire (100% copper) 1
0.2%
Cotton trousers 1
0.2%
Cream 1
0.2%
Door & Windows 1
0.2%
Doors 1
0.2%
Dress Repair 1
0.2%
Electrical equipment 1
0.2%
Electronics repairs (radio/tv/computers) 1
0.2%
Executive suits 1
0.2%
Firewood 1
0.2%
Fish 1
0.2%
Floor tiles 1
0.2%
Food 1
0.2%
Food Stuffs 1
0.2%
Frames 1
0.2%
Funiture 1
0.2%
Furniture 1
0.2%
Garments repair 1
0.2%
General repair 1
0.2%
Gents outfits 1
0.2%
Hot Roled Section 1
0.2%
Hot-dogs 1
0.2%
Household plastics (basins-ustensils) 1
0.2%
Households appliances 1
0.2%
Hurricane Lamps 1
0.2%
Industrial uniforms 1
0.2%
Iron 1
0.2%
Jars Tumbler 1
0.2%
Jiko 1
0.2%
Juices 1
0.2%
King maziwa 9415 polytene bags 1
0.2%
Knitting Yarn 1
0.2%
Leather Sandale 1
0.2%
Linene clothing 1
0.2%
Loaf 1
0.2%
Local Tea 1
0.2%
London wax garment 1
0.2%
MATERIALS (SALES OF) 1
0.2%
Maize Flour 1
0.2%
Maize flour (Nafuu white maize flour) 1
0.2%
Mattresses and belts 1
0.2%
Minced Meat 1
0.2%
Motor Vehicule spare parts 1
0.2%
Mzuri (iodized table salt) 1
0.2%
Offset printing 1
0.2%
Other beef products 1
0.2%
Other clothing 2
0.4%
Other food products 1
0.2%
Other garments 2
0.4%
Packed tea 1
0.2%
Paper Bags 1
0.2%
Paper Products 1
0.2%
Pillow making 1
0.2%
Pillows 1
0.2%
Plaiting 1
0.2%
Plastic 1
0.2%
Plastic Containers 1
0.2%
Plastic raw material 1
0.2%
Polythene bags (60 x 45 black) 1
0.2%
Potatoes 1
0.2%
Poultry 1
0.2%
Poulty 1
0.2%
Printing of labels 1
0.2%
Real Dairy Cream 1
0.2%
Related products 1
0.2%
Repairs Furniture 1
0.2%
Rice 1
0.2%
Roofing and machine timbers 1
0.2%
Rubber erasers 1
0.2%
Sale of materials for making garments 1
0.2%
Sale of materials for repair 1
0.2%
School uniforms 1
0.2%
Sculptures 1
0.2%
Self adhesive tapes 1
0.2%
Services Dressmaking 1
0.2%
Shipping Containers 1
0.2%
Shoes (non leather) 1
0.2%
Shorts 1
0.2%
Shorts (men cotton) 1
0.2%
Slones 1
0.2%
Sodium Silicate Grade 2 1
0.2%
Sole 1
0.2%
Spices grinding 1
0.2%
Starch products 1
0.2%
Sulphuric acid 1
0.2%
Table salt 1
0.2%
Tea paper sacks 1
0.2%
Toffee 1
0.2%
Tootbrushes 1
0.2%
Towels mats and curtains 1
0.2%
Tradins electric appliances 1
0.2%
Trouser 1
0.2%
Trousers 2
0.4%
Vegetables 1
0.2%
Vehicle hire 1
0.2%
Wedding Gowns 1
0.2%
Welding equipment 1
0.2%
Wheat Flour 1
0.2%
Wooden & Steel Furniture 1
0.2%
acl zippers 1
0.2%
agricultural chemicals 1
0.2%
animal feeds 1
0.2%
animal poultry feeds 1
0.2%
antacid - gestacid misture 1
0.2%
apparal 1
0.2%
barbed wire posts 1
0.2%
basic chemicals 1
0.2%
baskets for chicken 1
0.2%
bassins 1
0.2%
bed covers 1
0.2%
bed sheets 2
0.4%
beds 2
0.4%
blocks 2
0.4%
bracelets 1
0.2%
brake linings 1
0.2%
bread brown 1
0.2%
brown bread 1
0.2%
cake 1
0.2%
cakes 5
1%
calls 1
0.2%
canvas products 1
0.2%
carpets 1
0.2%
casting of metals 1
0.2%
chairs 2
0.4%
chemicals 1
0.2%
chicken feeds 1
0.2%
children's sweaters 1
0.2%
chimney pipes 1
0.2%
chips 1
0.2%
coffee tables 1
0.2%
color separations 2
0.4%
cooking fais 1
0.2%
cooking oil 2
0.4%
cosmestics 1
0.2%
cosmetics 1
0.2%
cotton nappies 1
0.2%
councelling 1
0.2%
crocheting 1
0.2%
crown collection garmengs 1
0.2%
curtain neltings 1
0.2%
cutback asphalt 1
0.2%
dairy meal 1
0.2%
die making and cuting 1
0.2%
dies 1
0.2%
dining set 3
0.6%
dinning sets 1
0.2%
dog food 1
0.2%
drums 1
0.2%
easy sets 1
0.2%
electrical appliances 1
0.2%
empty plastic bottles 1
0.2%
emroidery 1
0.2%
fabricated metal products 1
0.2%
fabrication of metal products 1
0.2%
fanta 300 ml 1
0.2%
feed troughs 1
0.2%
filtration units 1
0.2%
finished beds 1
0.2%
fishing lines 1
0.2%
footwear 1
0.2%
fresh juice 1
0.2%
fresh meats 1
0.2%
frying pans 1
0.2%
furniture 1
0.2%
gencial purpose machinery 1
0.2%
generators 1
0.2%
gents suits 1
0.2%
gormenly 1
0.2%
graduation gowns 1
0.2%
grains for animal feeds 1
0.2%
green coffee 1
0.2%
hand knitting yarn made from cotton 1
0.2%
handbags 1
0.2%
health care (medical gases and equipment) 1
0.2%
home baking flour 1
0.2%
home baking flour/ maize flour 1
0.2%
home furniture 1
0.2%
houswaves 1
0.2%
ice cream 1
0.2%
industrial salt 1
0.2%
installation equipment 1
0.2%
jackets 1
0.2%
jik detergent 1
0.2%
jikos 1
0.2%
juice 1
0.2%
kids wear shirts 1
0.2%
kids wear t-shirts and pull overs 1
0.2%
kikoi and safari wear 1
0.2%
klomens dress 1
0.2%
knitwares 2
0.4%
ladies clothing skirts and blouses 1
0.2%
layers mash 1
0.2%
maize flour 1
0.2%
medical and surgical equipments 1
0.2%
men casual shirts 1
0.2%
men shirts 1
0.2%
mens suits 1
0.2%
mens wear 1
0.2%
mens wear (african atire) 1
0.2%
menthylated spirits 1
0.2%
metal cans 1
0.2%
metal doors 1
0.2%
metal gates 1
0.2%
metal panes 1
0.2%
metal pressing and stamping 1
0.2%
methilated spirit 1
0.2%
millet flour 1
0.2%
modified multicolored windows 1
0.2%
molasses 2
0.4%
music tapes 1
0.2%
mutton 1
0.2%
nobla wsd 1
0.2%
other 1
0.2%
other bakery products 1
0.2%
other clothings 1
0.2%
other meat products 1
0.2%
other milk products 1
0.2%
others baked goods 1
0.2%
packaged food 1
0.2%
paper 1
0.2%
paper printing 1
0.2%
pharmatech 1
0.2%
photocopying 1
0.2%
pickup bodies 1
0.2%
pillow cases 1
0.2%
plastic bags 1
0.2%
plastic wares 1
0.2%
polythene bags 1
0.2%
pop corns 1
0.2%
poultry feeds 2
0.4%
ppr pipes and fittings 1
0.2%
premium coffe 1
0.2%
printed pvc vinlys 1
0.2%
printing 1
0.2%
processing of dair prducts 1
0.2%
pullover, cardigans for students 1
0.2%
pyjamas 1
0.2%
quarry 1
0.2%
radios and tv repairs 1
0.2%
receipt books 1
0.2%
refrigerated water 1
0.2%
renting of tents 1
0.2%
repairs of home appliances 1
0.2%
road contruction material 1
0.2%
roddenticides 1
0.2%
ruber stamps 1
0.2%
sale of accompanting solf drinks 1
0.2%
sales of ceramin tiles 1
0.2%
sales of human hair 1
0.2%
scanning 1
0.2%
school bags 1
0.2%
school furniture 1
0.2%
school uniform 2
0.4%
scissors matches (wax) 1
0.2%
scones 1
0.2%
scrap 1
0.2%
selling mens wear 1
0.2%
selling motor vehicles and spare parts 1
0.2%
selling of second hand clothing 1
0.2%
selling rice 1
0.2%
selling second hand clothing 1
0.2%
selling shoes 1
0.2%
selling sweeping brooms 1
0.2%
services building petrol stations 1
0.2%
services of motor vehicles 1
0.2%
servicing of vehicles 1
0.2%
ship repering 1
0.2%
shoe repair 1
0.2%
shoe shining 1
0.2%
snacks 1
0.2%
soap 1
0.2%
socks 1
0.2%
sofa sets 3
0.6%
sofa sets cushions 1
0.2%
soft drinks 1
0.2%
spare parts 1
0.2%
spices 1
0.2%
splitting of wood 1
0.2%
standandized instutional product sheets curlain etc 1
0.2%
stationary 1
0.2%
steel plates and sections 1
0.2%
steel wool 1
0.2%
sugarcane 1
0.2%
suiting materials 1
0.2%
suits 1
0.2%
sulphuric acid 1
0.2%
sundry insecticides 1
0.2%
sweets (toffee) 1
0.2%
table clothes 1
0.2%
taurpalins 1
0.2%
tea 1
0.2%
television sets 1
0.2%
tilapia nets 1
0.2%
toiletries 1
0.2%
tree seedlings 1
0.2%
trouser 1
0.2%
trouser suit 1
0.2%
trouser suits 1
0.2%
trousers 1
0.2%
trousser suits 1
0.2%
tumbocid tablets 1
0.2%
uniforms 1
0.2%
vegetable oils 1
0.2%
vegetables 1
0.2%
vodka 1
0.2%
wall unit 2
0.4%
wall units 1
0.2%
water 1
0.2%
water pumps 1
0.2%
wheat (milled) 1
0.2%
wheat flour 1
0.2%
wholesale of clothing 1
0.2%
women's dresses 1
0.2%
women's suits 1
0.2%
womens handbags 1
0.2%
wood handles for doors 1
0.2%
yarn 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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